AI Lead - Python/Machine Learning

Role Overview

• 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)