Senior AI/Gen AI Engineer

Must Have Technical/Functional Skills Python, R, SQL, LLMs, Databricks, AWS, Github, Machine Learning, Data Cleaning and Wrangling, Model Deployments and EvaluationRoles & Responsibilities 1. Business Problem Understanding• Work with stakeholders to understand business objectives and pain points 2. Data Collection & Understanding• Data source identification and programs to establish data pipelines• Identifying data gaps 3. Data Cleaning & Preparation• Handle missing, duplicate, and inconsistent data• Perform data transformations 4. Model Development• Select appropriate algorithms based on problem type• Build predictive, classification, or clustering models• Tune hyperparameters for optimal performance 5. Model Evaluation & Validation• Evaluate model performance using appropriate metrics• Perform cross validation and bias variance checks• Compare multiple models objectively 6. Model Deployment & Production Support• Work with engineers to deploy models into production• Create APIs or batch scoring pipelines• Ensure model scalability and reliability 8. Data Visualization & Storytelling• Communicate insights clearly to non technical audiences• Build dashboards, reports, and presentations 9. Stakeholder Communication & Collaboration• Collaborate with:• Product managers• Data engineers• Analysts• Business usersSalary Range $100,000-$160,000 yearTCS 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 & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.