Hiring: ML Engineer Company: Tata Consultancy Services Location: Conroe, TX Job Posted Time: 2026-09-16 13:08:11 Target Skills & Keywords : AWS, Agile, Azure, Data Pipeline, GCP, Java, Node.js, Python, Scala, TestNG About the job Experience: •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 •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. Required Skills: •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. Compensation: •$110,000-$140,000 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!