<p>Must Have Technical/Functional Skills</p> <p>Build and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.</p> <p>Able to implement end-to-end MLOps pipelines for model training, deployment, and monitoring.</p> <p>Leverage cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure ML) to develop scalable ML solutions.</p> <p>Work with big data technologies (Spark, Hadoop, BigQuery, Databricks) for data preprocessing and feature engineering.</p> <p>Good to Have - Manage the MLOPs Infrastructure including Continuous Integration servers, Model Configuration</p> <p>management, Model Deployment automation, Containers, Infrastructure Orchestration, Monitoring and Analytics,</p> <p>Testing and Cloud Quality tools. Python, Prompt Engineering, Langchain, Agentic AI, Data Engineering,</p> <p>Data Sciences, Applied AI, and AI/ML.</p> <p>Knowledge in one of the following is preferred.</p> <ul> <li>AWS: Bedrock, SageMaker, Lambda for AI workloads </li><li>Azure: OpenAI Service, ML Studio, Cognitive Service </li><li>GCP: Vertex AI, Generative AI Studio, TPU training </li></ul> <p>Roles & Responsibilities</p> <p>Explore and experiment new AI and Data technologies to build innovative solutions for the given</p> <p>customer usecases, perform rapid protypes, develop MVPs using frameworks like TensorFlow, PyTorch, or Scikit-learn.</p> <p>Implement end-end MLOps pipelines for model training, deployment and monitoring.</p> <p>Generic Managerial Skills, If any</p> <p>Effective communication and presentation skills, self-motivation, and the ability to navigate in</p> <p>creative environments.</p> <p>Salary Range: $80,000-$110,000 a year</p> <p>TCS Employee Benefits Summary:</p> <p>Discretionary Annual Incentive.</p> <p>Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.</p> <p>Family Support: Maternal & Parental Leaves.</p> <p>Insurance Options: Auto & Home Insurance, Identity Theft Protection.</p> <p>Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.</p> <p>Time Off: Vacation, Time Off, Sick Leave & Holidays.</p> <p>Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</p> <p>#LI-SP1</p>