ML Engineer

**Job Description** **Must Have Technical/Functional Skills** * 1\+ years of experience building, scaling, and optimizing ML systems * 1\+ years of experience with data gathering and preparation for ML models * 2\+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3\+ years of experience with distributed file systems or multi\-node database paradigms * 3\+ years of experience building production\-ready data pipelines that feed ML models. * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance **Roles \& Responsibilities** * Design, build, and/or deliver ML models and components that solve real\-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross\-functional Agile team to create and enhance software that enables state\-of\-the\-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud\-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well\-managed to reduce vulnerabilities, models are well\-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. **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, Sick Leave \& Holidays. * Legal \& Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. **Salary Range\-$110,000\-$140,000 a year**