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ML Engineer

Tata Consultancy Services Limited
Conroe, TX, United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$110,000.0 - $140,000.0
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

Clean Code Principles Java (Programming Language) Agile Methodology Amazon Web Services Automation of Tests Microsoft Azure Big Data Databases Continuous Delivery Continuous Integration Distributed File Systems Python (Programming Language)
+9 more
Machine Learning Node.Js Explainable AI (XAI) Google Cloud Cloud Platform System Feature Selection Machine Learning Operations Data Pipelines Programming Languages

Job description

Role: EngineerRequired Skills: AWS Azure Java Machine Learning PythonExperience: 8 - 10 YearsFunction: TECHNOLOGYApply By: 2026-10-24Must Have Technical/Functional Skills1+ years of experience building, scaling, and optimizing ML systems1+ years of experience with data gathering and preparation for ML models2+ years of experience developing performant, resilient, and maintainable codeExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform3+ years of experience with distributed file systems or multi-node database paradigms3+ 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 performanceRoles & ResponsibilitiesDesign, 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.#LI-KR3Salary Range-$110,000-$140,000 a year

Requirements

Required Skills: AWS Azure Java Machine Learning Python

Experience: 8 - 10 Years, * 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

Benefits & conditions

  • 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.

LI-KR3

Salary Range-$110,000-$140,000 a year

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