AI Technical Lead - ( Vehicle Automation / Autonomous Mobility )

AI Technical Lead

·       This role combines leadership, architecture, and development responsibilities, requiring deep expertise in machine learning, cloud infrastructure, and full-stack engineering.

·       Cross-functional teams to deliver scalable AI solutions that integrate seamlessly into enterprise applications.

·       Bachelors or Master’s degree in Computer Science, Engineering, or related field.

·       7+ years of experience in software development, with 3+ years in AI/ML.

·       Strong programming skills in Python and JavaScript (React, Node.js).

·       Proven experience with cloud platforms (AWS, Azure, or GCP).

·       Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

·       Lead the design, development, and deployment of AI/ML models and systems across cloud platforms (AWS, Azure, and GCP).

·       Architect and implement full-stack solutions integrating AI models with front-end and back-end components.

·       Deploy the cloud environments and components needed for new AI projects.

·       Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.

·       Build and maintain scalable ML pipelines using MLOps tools and practices.

·       Develop APIs and microservices to serve models and enable real-time inference.

·       Ensure high performance, reliability, and security of AI applications in production.

·       Mentor junior engineers and foster a culture of innovation and technical excellence.

·       Stay current with emerging AI technologies and industry trends.

·       Experience with MLOps tools ie Python, MLflow, Airflow, SageMaker, Vertex AI

·       Knowledge of data engineering tools  Spark, Kafka, Databricks, and Snowflake will be added advantage

·       Contributions to open-source AI projects or publications.

·       Certifications in cloud or AI technologies.