Must Have Technical/Functional Skills * 12+ years of experience in AI/ML engineering, including at least 3 years in an architectural role * Extensive experience in AI/ML model development, deployment, and lifecycle management. * Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure). * Strong programming skills in Python, Java, or C++ * Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes). * Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines. * Experience with NLP, deep learning, reinforcement learning, generative AI * Experience in AI-driven business transformation and enterprise AI strategies. * Familiarity with edge AI, IoT, or real-time AI processing. * Knowledge of ethical AI frameworks and responsible AI principles. * Strong problem-solving skills and ability to mentor AI/ML teams. * Experience in agile development methodologies to deliver solutions and product features. Roles & Responsibilities * Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency. * Guide data scientists and engineers in developing, training, and deploying machine learning models. * Define best practices for MLOps, including model versioning, monitoring, and retraining strategies. * Develop AI frameworks and reusable components to accelerate AI adoption across the organization. * Collaborate with stakeholders to understand business requirements and align AI solutions accordingly. * Optimize data pipelines and AI infrastructure to support high-performance model training and inference. * Evaluate emerging AI technologies and recommend suitable tools, frameworks, and methodologies. * Ensure compliance with AI ethics, governance, and data privacy regulations. * Implement microservices architecture to build scalable and resilient software solutions and use Cloud platforms like AWS, Azure to deploy and run software applications Salary Range: $125,000-$180,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, S ick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1