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Role AI Architect
Job Description
We are seeking a highly skilled and motivated Data Scientist to join our team As a Data Scientist you will be responsible for analyzing complex datasets building predictive models and deriving actionable insights to drive business decisions You will work on a variety of projects spanning machine learning deep learning natural language processing NLP and OpenAI implementation The ideal candidate must have strong proficiency in SQL and Python extensive experience in machine learning and deep learning techniques and a solid understanding of NLP concepts Experience with implementing solutions using OpenAI technologies is highly desirable
Responsibilities
Analyze large complex datasets to identify trends patterns and correlations using SQL and Python
Develop and implement machine learning algorithms and models to solve business problems and optimize processes
Build and train deep learning models for tasks such as image recognition natural language processing and recommendation systems
Apply NLP techniques to extract insights from unstructured text data and develop textbased predictive models
Collaborate with crossfunctional teams to understand business requirements and develop datadriven solutions
Evaluate and implement cuttingedge technologies and algorithms to improve model performance and scalability
Communicate findings and insights to stakeholders through clear and compelling data visualizations reports and presentations
Stay updated with the latest advancements in data science machine learning and AI research
Qualifications
Bachelors degree in Computer Science Statistics Mathematics or a related field Masters or PhD preferred
Proven experience as a Data Scientist or similar role with a strong portfolio of successful projects
Mandatory proficiency in SQL and Python for data manipulation querying and analysis
Expertise in data manipulation libraries such as Pandas NumPy and Scikitlearn
Deep understanding of machine learning techniques and algorithms including supervised and unsupervised learning regression classification clustering and ensemble methods
Handson experience with deep learning frameworks such as TensorFlow Keras or PyTorch
Solid understanding of NLP concepts and experience with libraries such as NLTK spaCy or Transformers
Familiarity with OpenAI technologies and experience implementing solutions using OpenAI APIs and tools is a plus
Strong analytical and problemsolving skills with the ability to translate business requirements into datadriven solutions
Excellent communication and collaboration skills with the ability to work effectively in a team environment
Demonstrated ability to work on multiple projects simultaneously and deliver highquality results under tight deadlines
Join our team and contribute to shaping the future of datadriven decisionmaking with your expertise in SQL Python machine learning deep learning NLP and OpenAI implementation experience
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance.
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits and Perks:
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.<span style=""mso-spacerun: yes;""> Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
