ML Engineer — Conroe, TX

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