Astek is offering a role of ML Architect for our projects based in Singapore.

Responsibilities:

• Defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization. This includes decisions around leveraging open-source, augmented ML, pretrained ML models or integrated AI PaaS solutions.
• Establishing operational efficiency in AI initiatives by becoming the liaison with and developing a feedback loop between data science development and business use cases to ensure delivery of business value.
• Architecting, designing, directing and leading AI and ML solutions that are scalable, fault-tolerant and low-bias and that can be integrated and operationalized using available tools and resources.

Requirements:

• Minimally 8 years of relevant experience
• Knowledge ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models managing and governing ML Models and managing and scaling AI platforms
• Be familiar with ML algorithms, AI use cases and applications. Should have an understanding of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools.
• Have experience in designing system that leverages Big Data Processing framework, such as Spark
• Have experience in designing system that leverages Containerization platform, such as OpenShift or Kubernetes
• Have knowledge about Machine Learning and Data Science concepts, tools and automation processes.
• Have experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking a highly skilled and experienced Large Language Model (LLM) based Application Infrastructure engineer to join our growing team. The successful candidate will work at the intersection of GPU chip design and AI. You will be responsible for the design, development, and maintenance of the infrastructure around Nvidia's internal large language model aimed at facilitating chip design.

What you'll be doing:

• Develop and maintain the infrastructure for managing large language models (LLMs) based application specifically adapted for the chip design and hardware domain.

• Develop and maintain LLM based applications to serve hardware engineers, such as LLM based QA bot, code generator etc.

• Collaborate with HW chip designers and LLM research teams to understand the specific needs and challenges of GPU design and ensure the LLM infrastructure is well-suited to these needs.

• Collaborate with LLM research teams to collect & organize training / fine-tuning data to train hardware specific language model

• Optimize the infrastructure for performance, scalability, and reliability, and ensure the secure and efficient management of data.

• Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.

What we need to see:

• BS in computer science or related or equivalent experience

• 5+ years experience

• Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.

• Strong proficiency in Python and web development, and familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering, etc.

• Understanding of chip design and related computational and data challenges.

• Experience with data management, including doc cleaning, transformation, and secure storage.

• Excellent problem-solving skills and the ability to work effectively in a team.

• In depth understanding of Machine Learning / Deep Learning / NLP concepts.

Ways to stand out from the crowd:

• You crafted & developed production quality microservices

• Strong technical background in cloud/distributed infrastructure

• An excellent plus if you are familiar with front-end development using React or Vue.js

• Strong understanding of SQL & NoSQL Data platforms.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. Are you a creative and passionate about applying Machine Learning to solve remarkably interesting problems? Are you interested in being involved in state-of-the-art development in the field of AI & love a challenge? If so, we want to hear from you!

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate and creative people to help us on building a AI framework that will solve the toughest and most relevant problems of humanity and problems that are at the groundbreaking of science & engineering: weather/climate challenges, product design, digital twins, molecular dynamics, novel materials, accelerated drug development, etc.

What you'll be doing:

• Work with some of the brightest minds in a leading AI company to develop a leading machine learning framework, NVIDIA Modulus, for our academic and industrial partners to construct digital twins and machine learning simulation surrogates for real world science and engineering problems

• Work with internal project teams to validate applications built using the framework on Nvidia’s products

• Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new insights to develop and enhance NVIDIA's deep learning technologies with focus on simulations

What we need to see:

• BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience.

• 10+ years of relevant experience.

• Strong Python programming skills. Familiarity with containers, numeric libraries, modular software design

• Good knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)

• Experience with solving and using machine learning for real world problems involving scientific/engineering simulations (domains/applications - industrial, life sciences, high energy physics, earth sciences – seismic, weather & climate modeling; physics types - CFD, structural, electromagnetics, optics, acoustics etc.) and/or scientific visualization is a big plus

• Strong analytical skills with bias for action. Good time-management and organization skills to thrive in a fast paced, dynamic environment

• Solid written and oral communications skills. Good teamwork and interpersonal skills

Ways to stand out from the crowd:

• Work with multi-node systems with data-parallel and model parallel programming experience. Experience with CUDA

• Usage of nonlinear simulation tools and techniques, usage of major simulation codes (opensource and/or commercial)

• Published papers in the field of AI in scientific computing

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

NVIDIA is seeking a highly skilled and experienced Large Language Model (LLM) based Application Infrastructure engineer to join our growing team. The successful candidate will work at the intersection of GPU chip design and AI, you will be responsible for the design, development, and maintenance of the infrastructure around Nvidia's internal large language model aimed at facilitating chip design.

What you'll be doing:

• Develop and maintain the infrastructure for managing large language models (LLMs) based application specifically adapted for the chip design and hardware domain.

•  Develop and maintain LLM based applications to serve hardware engineers, such as LLM based QA bot, code generator etc.

• Collaborate with HW chip designers and LLM research teams to understand the specific needs and challenges of GPU design and ensure the LLM infrastructure is well-suited to these needs.

• Collaborate with LLM research teams to collect & organize training / fine-tuning data to train hardware specific language model

•  Optimize the infrastructure for performance, scalability, and reliability, and ensure the secure and efficient management of data.

• Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.

What we need to see:

• Bachelor's or higher degree in Computer Science, Computer Engineering or related major.

• Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.

• Strong proficiency in Python and web development, and familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering, etc.

• Understanding of chip design and related computational and data challenges.

• Experience with data management, including doc cleaning, transformation, and secure storage.

• Excellent problem-solving skills and the ability to work effectively in a team.

• In depth understanding of Machine Learning / Deep Learning / NLP concepts. 

Ways to stand out from the crowd:

• You crafted & developed production quality microservices

• Strong technical background in cloud/distributed infrastructure

• An excellent plus if you are familiar with front-end development using React or Vue.js

• Strong understanding of SQL & NoSQL Data platforms.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

The Role:

You'll be an experienced software engineer with machine learning concept. Working in an agile cross-functional team, you will contribute to the development of complex features to ensure Dyson continues to create innovative products that will delight our customers.

You'll collaborate with architects, software engineers, machine learning engineers, and platform engineers to help solve the wide and exciting range of edge devices’ challenges posed by the ever expanding Dyson product portfolio.

You'll have a desire to explore and share ideas and techniques across different technical domains and will ideally have expert knowledge of software development for complex, sophisticated systems including deep learning IPU, embedded software, camera/sensors components with a focus on model deployment on embedded system software and cloud computing.

Key Responsibilities:

• Ability to design and deploy proposed machine learning algorithm/model onto target platform efficiently.
• Work closely with architects, algorithm engineers, and platform engineers to implement and deploy machine learning models on embedded system and optimize product performance accordingly.
• Understand necessary data and AI requirements to implement and deploy machine learning applications; ensure machine learning applications are available to products via well-defined APIs
• Lead system design of data pipeline to facilitate repetitive machine learning model performance turning
• Identify key enabler and risk areas of proposed algorithmic solutions.
• Work with the architecture team and product management to identify the feature development roadmap.
• Develop prototype demonstrators utilising rapid prototyping techniques for quick evaluation.
• Manage the entire life cycle of multiple related complex modules and systems, including feature discussion, algorithmic analysis, documentation, design, coding, testing, maintenance, and result tracking
• Involve in continuous integration and continuous delivery (CI/CD) infrastructure/environment setup
• Good product sense and keen focus on product performance.
• Act as subject matter expert (SME) in specific domain, disseminating knowledge, guiding and mentor engineers in methodology, best practice and standards
• Proactively identify technical risks within projects and influence engineering teams in their resolution
• In-depth participation in feature design discussions will be required

Key Skills / Experience

• A bachelor's degree or higher in Computer Science, Electronics Engineering, Computer Engineering, Applied Mathematics or robotics engineering with strong quantitative background.
• Strong knowledge in image classification, segmentation, embedding and feature extraction
• Industry experience in building innovative end-to-end machine learning systems
• 1+ years of experience in computer vision/ML application software development and performance tuning.
• Experience in building, deploying and optimizing machine learning algorithms, especially deep learning and convolutional neural network.
• Solid understanding and hands-on experience of machine learning fundamentals, such as data visualisation, data cleaning, SVM, random forest, model ensemble, AdaBoost, deep learning deployment etc.
• Experience in integration and deployment of computer vision applications onto embedded system products or edge devices is highly desirable.
• Proficient in machine learning libraries, such as OpenCV, dlib, scikit-learn, numpy or scipy, etc.
• Proficiency in multithreading programming and synchronisation mechanisms.
• Good command of object oriented programming capability, including speed and overall quality; specifically, must be able to write high performance product quality codes with C++ and Python
• Familiar with STL, boost C++ libraries, design patterns and able to enforce it in day-to-day tasks.
• Comfortable and familiar with embedded system programming under Linux environment for machine learning model deployment and performance tuning.
• Experience in AWS, Google Cloud or Microsoft Azure cloud service is a plus
• Good problem-solving and troubleshooting attitude with excellent analytics skills
• The ability to learn continuously and improve oneself.
• Experience in Agile practices is a plus.
• Professionalism and excellent communication skills; ability to communicate complex information to both technical and non-technical stakeholders.
• Optimism and an excitement about collaborating with teammates and interdisciplinary teams, and technically support development.
• For a highly experienced candidate, we expect excellent technical guidance skills and the ability to influence the work of others. Experience in over-sighting high complexity software development projects is an advantage
• Independent, Integrity and self-driven with a strong focus on results to ensure that the whole team succeeds in its goals.
• Fluent in spoken and written English.

As a ML Platform Architect on the Central Software team, you will play a vital part in scaling machine learning (ML) efforts across Boston Dynamics.  In this role, you’ll design the tools, infrastructure, and pipelines that unify how our many product ML/RL engineers and researchers get stuff done. You’ll work at the forefront of robotics innovation, using your skills to empower teams shipping new robot capabilities. 

How you will make an impact:

• Own the overall design and long-term growth of an ML platform, including data management, compute for model training, deployment, and optimization.

• Work closely with ML/RL contributors across teams  to understand and prioritize needs

• Develop and propose strategies, leveraging on-premises and cloud-hosted resources, to address compute, storage, and networking capabilities for fast/flexible ML capabilities

• Propose and communicate roadmaps, schedules, and design concepts.  Align stakeholders' direction and priorities

• Work closely with ML Platform engineers to implement, deploy, and maintain designed infrastructure

• Serve as a technical resource to stakeholders across BD pursuing ML-enabled solutions

• Work closely with engineering leadership to identify and answer critical product questions

We are looking for:

• 8+ years experience as a ML platform engineer, Senior SWE / technical lead, or equivalent

• Experience effectively working in a large multi-language monorepos, including build technologies

• Proven track record developing, debugging, and deploying complex applications in Python, Julia, C++ or equivalent

• Demonstrated proficiency using ML libraries/frameworks (PyTorch, Tensorflow, Keras, Pandas, Numpy)

• Experience using hybrid infrastructure, combining on-prem and cloud (GCP, AWS, Azure) resources, for ML applications

• Demonstrated experience with scalable ML deployment methods (Docker, K8s, Ansible, Terraform)

• Experience with storage and data transformation technologies (S3, GCS, Airflow, Spark)

• Experience with Agile, Scrum or other lean methods.  Be able to work closely with high performing engineering teams

• Ability to work collaboratively in cross-functional teams

• Masters in Engineering, Computer Science, or other technical area

#LI-JM1

We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest deep learning and machine learning breakthroughs with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!

What You’ll Be Doing:

• A considerable part of the day-to-day job is staying up to date on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud built with the latest NVIDIA GPU supercomputers.

• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.

• Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will help them build their GPU and DPU-enabled Accelerated Compute datacenters or cloud services to get the most out of their investment.

• Lead and develop proofs-of-concept (PoCs) for solutions applied to enterprise and industrial applications such as LLM, NLP/NLU, recommender systems, image recognition, video analytics, and DPU applications.

• Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers to build innovative NVIDIA technology solutions.

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins for customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.

What We Need To See:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.

• 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.

• Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments; additional experience with DPUs applications development will be beneficial.

• Deep understanding of dense data center design, including computing, storage, networking, cloud APIs, and IaaS.

• Ability to multitask efficiently in a dynamic environment.

• Strong analytical and problem-solving skills.

• Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.

• Comfortable working in a customer-facing environment.

• C/C++ and Python programming skills.

Ways To Stand Out From The Crowd:

• Excellent customer-facing skills and background.

• Skilled in deploying ML/DL models at scale on cloud computing clusters in production.

• Development experience with NVIDIA software libraries and GPUs or DPUs.

• Knowledge of LLM, MLOps, DevOps, and Cloud-oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments, etc.

• Able to think creatively to debug and solve complex problems.

We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that define the field of ML/DL, data science, and graphics.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Job Title: Electrical/Electronics Technician

Company Overview: Join our team , where we specialize in delivering cutting-edge drilling solutions and reservoir insights to optimize asset value. As a Technician in our dynamic environment, you'll be part of a collaborative team committed to innovation and excellence.

Job Overview: As an Electrical/Electronics Technician, you will play a crucial role in assembling prototype PC boards, conducting functional and environmental testing of electrical circuits, and contributing to the debugging and troubleshooting process. Under direct supervision, you'll exercise judgment and apply your technical expertise to ensure the reliability and safety of our equipment. Compliance with HSE (Health, Safety, and Environment) standards and Service Quality requirements is paramount in this role.

Responsibilities:

• Assemble prototype PC boards with precision and attention to detail.
• Conduct functional and environmental testing of existing and new electrical circuits.
• Utilize testing and troubleshooting skills to debug, test, and document equipment results.
• Stay informed about reliability and safety issues through ongoing training.
• Comply with HSE and Service Quality requirements to ensure a safe and efficient work environment.

Qualifications:

• Associate degree in a related field of science preferred, or a minimum of 2 years of experience in a related technician role.
• Hands-on soldering skills and experience in manufacturing and/or field operations.
• Strong attention to detail and ability to work effectively in a team environment.
• Excellent communication skills and a proactive approach to problem-solving.

When you join Kainos, you get to think beyond limitations to make an immediate and positive impact – like transforming digital services for millions of citizens or helping Fortune 500 companies get live and thrive on Workday. You’ll be part of a people-first culture that is growing around the world. We’re a creative, committed, and diverse group of individuals who succeed as a team. At Kainos your ideas are heard and valued and you’ll leave a legacy that you can feel proud of.  Join us and discover how our people write our story.

As a Support Engineer (Senior Associate) in Kainos, you’ll be responsible for analysing and solving complicated technical issues within the CRM application.  You will adhere to ITIL standards and will participate fully in the Incident management lifecycle.   You will work closely with clients, internal teams, and 3rd Party vendors to ensure that problems are resolved. You’ll do this whilst learning about new approaches, with talented colleagues that will help you to learn, develop and grow. 

Your key responsibilities will include:

• Providing day-to-day technical support to internal and external customer.
• Proactively taking ownership for incidents in areas of expertise and designated responsibility participating fully in the incident management lifecycle.
• Liaising with customers as required, presenting a professional image of Kainos, escalating, and reporting back to the Service Manager/Lead consultant.
• Configuring and solving issues within the relevant applications.
• Taking the lead in providing a support service to clients ensuring compliance with Service Level Agreements.
• Will have an awareness of overall client business requirements and impact on Kainos and client commercials.
• Delivering within commercial constraints that apply to the support agreement.
• Producing technical documentation and procedures as necessary within the relevant applications.
• Ensuring that deliverables are consistent with Kainos and/or client policies, strategies and constraints.
• Applying all relevant standards and procedures to their own work.
• Taking responsibility for team projects as required.
• Leading by example in both technical and non-technical aspects of the job.
• Recognising and raising business opportunities.
• Maintaining a current knowledge of relevant technology developments and actively shares knowledge.
• Advising customers on the technical, operational, and business impacts of processes, incidents and RFCs.
• Involving development/infrastructure team/third parties as appropriate.
• Contributing to service review meetings.
• Complying with all confidentiality and non-disclosure policies and/or agreements and always ensures security of information.

MINIMUM (ESSENTIAL) REQUIREMENTS: 

• Experience of providing functional/technical CRM Dynamic Sales application support.
• Experience of providing functional/technical Power Platform Support
• Good communication skills, with the ability to communicate issues to other technical people, and major stakeholders within the business.
• Can recognize and flag issues outside area of own expertise or responsibility to team leader or manager, as appropriate.
• Experience of working in a collaborative team environment and capable of sharing knowledge upskilling

DESIRABLE: 

• Relevant certification. (MB-910, PL-200)
• Extensive experience in supporting solutions based on CRM Dynamic Sales application.
• Good understanding of relevant software development tools and best practice.
• Good understanding of quality practices as applied to the applications, such as document review.

 

 

• Provide high-level design and strategic guidance for the development of complex enterprise-wide applications.
• Develop and communicate architectural designs
• Evaluate and recommend appropriate technologies, frameworks, and platforms to support the development of enterprise applications.
• Establish and enforce architectural standards and best practices to maintain consistency and quality across applications and systems.
• Collaborate with stakeholders, development teams, and other architects to understand business needs and provide technical guidance throughout the project lifecycle.
• Identify potential risks and challenges associated with architectural decisions, and propose mitigation strategies to ensure project success.
• Create and maintain detailed architectural documentation, including diagrams, specifications, and guidelines for development teams to follow.
• Develop and communicate a technology roadmap that aligns with the long-term goals of the organization, ensuring that technology investments support business objectives.
• Contribute to the development and enforcement of governance policies related to application development, ensuring compliance with organizational standards.

The Role:

You'll be an experienced software engineer with machine learning concept. Working in an agile cross-functional team, you will contribute to the development of complex features to ensure Dyson continues to create innovative products that will delight our customers.

You'll collaborate with architects, software engineers, machine learning engineers, and platform engineers to help solve the wide and exciting range of edge devices’ challenges posed by the ever expanding Dyson product portfolio.

You'll have a desire to explore and share ideas and techniques across different technical domains and will ideally have expert knowledge of software development for complex, sophisticated systems including deep learning IPU, embedded software, camera/sensors components with a focus on model deployment on embedded system software and cloud computing.

Key Responsibilities:

• Ability to design and deploy proposed machine learning algorithm/model onto target platform efficiently.
• Work closely with architects, algorithm engineers, and platform engineers to implement and deploy machine learning models on embedded system and optimize product performance accordingly.
• Understand necessary data and AI requirements to implement and deploy machine learning applications; ensure machine learning applications are available to products via well-defined APIs
• Lead system design of data pipeline to facilitate repetitive machine learning model performance turning
• Identify key enabler and risk areas of proposed algorithmic solutions.
• Work with the architecture team and product management to identify the feature development roadmap.
• Develop prototype demonstrators utilising rapid prototyping techniques for quick evaluation.
• Manage the entire life cycle of multiple related complex modules and systems, including feature discussion, algorithmic analysis, documentation, design, coding, testing, maintenance, and result tracking
• Involve in continuous integration and continuous delivery (CI/CD) infrastructure/environment setup
• Good product sense and keen focus on product performance.
• Act as subject matter expert (SME) in specific domain, disseminating knowledge, guiding and mentor engineers in methodology, best practice and standards
• Proactively identify technical risks within projects and influence engineering teams in their resolution
• In-depth participation in feature design discussions will be required

Key Skills / Experience

• A bachelor's degree or higher in Computer Science, Electronics Engineering, Computer Engineering, Applied Mathematics or robotics engineering with strong quantitative background.
• Strong knowledge in image classification, segmentation, embedding and feature extraction
• Industry experience in building innovative end-to-end machine learning systems
• 1+ years of experience in computer vision/ML application software development and performance tuning.
• Experience in building, deploying and optimizing machine learning algorithms, especially deep learning and convolutional neural network.
• Solid understanding and hands-on experience of machine learning fundamentals, such as data visualisation, data cleaning, SVM, random forest, model ensemble, AdaBoost, deep learning deployment etc.
• Experience in integration and deployment of computer vision applications onto embedded system products or edge devices is highly desirable.
• Proficient in machine learning libraries, such as OpenCV, dlib, scikit-learn, numpy or scipy, etc.
• Proficiency in multithreading programming and synchronisation mechanisms.
• Good command of object oriented programming capability, including speed and overall quality; specifically, must be able to write high performance product quality codes with C++ and Python
• Familiar with STL, boost C++ libraries, design patterns and able to enforce it in day-to-day tasks.
• Comfortable and familiar with embedded system programming under Linux environment for machine learning model deployment and performance tuning.
• Experience in AWS, Google Cloud or Microsoft Azure cloud service is a plus
• Good problem-solving and troubleshooting attitude with excellent analytics skills
• The ability to learn continuously and improve oneself.
• Experience in Agile practices is a plus.
• Professionalism and excellent communication skills; ability to communicate complex information to both technical and non-technical stakeholders.
• Optimism and an excitement about collaborating with teammates and interdisciplinary teams, and technically support development.
• For a highly experienced candidate, we expect excellent technical guidance skills and the ability to influence the work of others. Experience in over-sighting high complexity software development projects is an advantage
• Independent, Integrity and self-driven with a strong focus on results to ensure that the whole team succeeds in its goals.
• Fluent in spoken and written English.

About Serco
At Serco, not only is the nature of the work we do important, everyone has an important role to play, from caring for vulnerable people to managing complex public services. We are a team of 50,000 people responsible for delivering essential public services around the world in areas including defence, transport, justice, immigration, healthcare and citizen services. We are innovators, committed to redesigning and improving public services for the benefit of everyone.



IT Solution Architect: Facilities ManagementHome-based with UK Travel Full Time, Permanent £60,000
- £70,000 (dependent on experience)

Here at Serco, we are seeking a talented IT Solution Architect with experience of Facilities Management solutions to support the execution of IT projects and bids by working with key stakeholders to understand business requirements.

Working within key stakeholders (business and IT), you will identify any gaps between business requirements and current IT capabilities, defining solutions to bridge the gaps, ensuring the project scope is maintained, and solutions implemented in line with Serco’s architectural principles and the IT strategy for the BU.

You will work closely with clients and business representatives to understand their business needs and design solutions to tackle the IT need of each project or bid. You must also understand the IT needs of the business as well as the overall impact of proposed solutions to the profitability of the business or bid you’re working on.


As part of this you’ll:


- Work with the IT Project Manager to understand the needs of business and produce designs & solutions for each project. You will be also required to create road maps for “soft FM” solutions, including cleaning, postering and catering.
- Whilst working on bids, liaise with the business development and bid teams to formulate appropriate solutions and cost models
- Attend solution reviews and, if appropriate, governance boards, to ensure solutions are approved and adhere to Serco architectural standards
- Present solution design and cost models as part of the Serco bid governance framework
- Provide architectural guidance and design leadership to the project delivery team to ensure delivery is in line with the design
- Ensure solution and service designs are aligned with business needs to support Enterprise Architecture roadmaps and IT strategies


What you’ll need to do the role:

- A background in Facilities Management, with an emphasis on “soft FM” aspects such as cleaning and catering.
- Practical experience of understanding business requirements, whilst maintaining a knowledge of current and emerging IT technologies
- Ability to offer clearly defined solutions to business problems, along with being an analytical thinker and logical in approaching issues
- Effective communication skills that enable you to convey complex technical details to clients in simple terms
- Ability to identify technical issues and design solutions to fix them, gathering and assimilating information
- Excellent relationship building skills
- Must be willing to undergo BPSS security clearance. In some cases, SC may also be required depending on assignment



Why Serco:

Meaningful and vital work: In this position, your work is vital to the business, in terms of decisions and growth. You will gain a world of opportunity working for a globally operating business delivering essential services across 5 vital sectors, personal growth, achievement and development won’t be hard to find. You'll also work with great people. You’ll find yourself working in a highly motivated, supportive environment where no two days are the same, with experienced colleagues who strive for excellence.

What we offer:


- Flexible working considered
- Pension – 6%
- A company passionate about diversity and inclusion
- Growth and development opportunities – Serco will support with a range of qualifications
- A range of benefits to support the health and wellbeing of you and your family such as Employee Assistance Programme, Bupa Anytime HealthLine, Thrive App, Simply Health Plans and more
- Access to a huge range of discounts and exclusive deals such as Merlin Attractions, Mobile Phone discounts, Cinema discounts, Leisure and Hospitality discounts
- Up to 25 days annual leave plus bank holidays, with the option to purchase more
- Life assurance


Apply
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Serco is a Disability Confident Employer committed to employing and retaining people with disabilities. Disabled applicants who meet the minimum criteria for the job will be given the opportunity to demonstrate their abilities at an interview. For help with your application please contact 0345 010 4000.

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This role will be to work on parallel processing acceleration of AI and Machine Learning Systems. Technologies include: - Numeric methods and algorithms - Parallel programming and/or High Performance Computing - Machine learning or a related domain, and understanding of basic machine learning techniques - Machine learning libraries like Tensorflow or Caffe This is a fantastic opportunity to work on the optimisation and implementation of diverse Machine Learning systems.

This role will be to work on parallel processing acceleration of AI and Machine Learning Systems.

Technologies include:

- Numeric methods and algorithms
- Parallel programming and/or High Performance Computing
- Machine learning or a related domain, and understanding of basic machine learning techniques
- Machine learning libraries like Tensorflow or Caffe

This is a fantastic opportunity to work on the optimisation and implementation of diverse Machine Learning systems.

Dew Software is looking for a highly skilled and motivated Machine Learning Engineer/SRE to join their dynamic team. As a Machine Learning Engineer/SRE at Dew Software, you will have the unique opportunity to combine your expertise in machine learning and site reliability engineering to drive digital innovation and transformation for Fortune 500 clients. You will be responsible for managing Azure infrastructure, monitoring model performance, and responding to incidents related to model operations. This role requires a strong understanding of machine learning principles, as well as experience in managing cloud infrastructure and implementing CI/CD pipelines.

Responsibilities

• Manage Azure infrastructure to support AI model development and deployment
• Implement and maintain monitoring systems to track model performance
• Collaborate with the SRE team to respond to and resolve incidents related to model operations
• Optimize CI/CD pipelines for efficient deployment of machine learning models
• Build and optimize machine learning models using Python and relevant libraries
• Preprocess and engineer data for machine learning
• Ensure clear documentation of models, infrastructure configurations, and incident responses
• Stay up-to-date with the latest advancements in machine learning and cloud technologies

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years of experience in machine learning engineering, SRE, or related roles
• Proficiency in managing Azure infrastructure for AI model development and deployment
• Experience in implementing and maintaining monitoring systems for model performance
• Strong knowledge of CI/CD pipelines for efficient deployment of machine learning models
• Expertise in machine learning principles, algorithms, and frameworks such as TensorFlow and PyTorch
• Proficiency in Python programming for building and optimizing machine learning models
• Experience in data preprocessing, feature engineering, and data pipeline development
• Excellent communication and collaboration skills

• Azure Infrastructure Experience: Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment.
• CI/CD Pipeline Experience: Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes.
• Containerization in the Cloud: Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models.
• Machine Learning Expertise: Proficient in building and optimizing machine learning models, with a deep understanding of various ML algorithms and frameworks.
• Programming Skills: Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch.
• Data Management: Experience in data preprocessing, feature engineering, and data pipeline development for machine learning.
• Collaborative Team Player: Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs.
• Documentation: Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses.