Role Overview
We are seeking a visionary AI Lead to spearhead the design, development, and deployment of advanced AI/ML solutions in the domain of connected vehicle analytics. This role demands a strategic thinker with hands-on expertise in machine learning platforms and a passion for transforming data into actionable intelligence that drives business outcomes.
- Strategize & Lead AI Initiatives : Define and execute the end-to-end AI/ML roadmap for connected vehicle analytics, ensuring scalability, performance, and alignment with business goals.
- Architect ML Solutions : Design robust machine learning systems using platforms such as Google Vertex AI, TensorFlow, and AutoML, tailored to real-time vehicle data and predictive analytics.
- Guide Data Science Execution Mentor and lead a team of data scientists and ML engineers in model experimentation, validation, and deployment. Foster a culture of innovation and continuous learning.
- Establish MLOps Frameworks : Implement and optimize MLOps pipelines for seamless integration, monitoring, and lifecycle management of models in production environments.
- Business Alignment & Impact Collaborate with cross-functional stakeholders to ensure AI solutions deliver measurable value and support strategic business objectives.
- Proven experience in AI/ML architecture design and deep learning frameworks
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with MLOps tools and cloud platforms (preferably GCP)
- Expertise in model deployment, monitoring, and performance tuning
- Demonstrated leadership in mentoring technical teams and driving project success
- Excellent communication and stakeholder management skills
- 8+ years of experience in AI/ML roles, with at least 3 years in a leadership capacity
- Prior exposure to automotive, IoT, or connected systems domains
- Certifications in cloud AI platforms (e.g., Google Cloud ML Engineer)
(ref:hirist.tech)
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