AI Lead - Python/Machine Learning

As an AI Lead at our company, you will be responsible for spearheading the design, development, and deployment of advanced AI/ML solutions in the domain of connected vehicle analytics. Your role will require you to be a strategic thinker with hands-on expertise in machine learning platforms and a passion for turning data into actionable intelligence that drives business outcomes. Key Responsibilities: - Define and execute the end-to-end AI/ML roadmap for connected vehicle analytics, ensuring scalability, performance, and alignment with business goals. - Design robust machine learning systems using platforms such as Google Vertex AI, TensorFlow, and AutoML, tailored to real-time vehicle data and predictive analytics. - 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. - Implement and optimize MLOps pipelines for seamless integration, monitoring, and lifecycle management of models in production environments. - Collaborate with cross-functional stakeholders to ensure AI solutions deliver measurable value and support strategic business objectives. Qualifications Required: - 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) Please note that the company details were not provided in the job description.,