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NTT DATA Americas, Inc

NTT DATA Americas, Inc

via Dice

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ML Platform Engineer

Anywhere
Contract
Posted 12/11/2025
Verified Source
Key Skills:
ML feature engineering
Databricks
Spark/PySpark
Delta Lake
Kafka/EventHub
ML workflows

Compensation

Salary Range

$72K - 149K a year

Responsibilities

Build and support production-grade feature pipelines, maintain feature store, and support ML workflows end-to-end.

Requirements

8+ years in ML feature engineering, experience with feature stores and cloud platforms, and 4+ years with GenAI tools.

Full Description

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. NTT DATA Services currently seeks a Feature / ML Platform Engineer to join our team in Louisville, Kentucky. Job Description We need a Feature / ML Platform Engineer to build and support production-grade offline and online feature pipelines using Databricks, Spark/PySpark, Delta Lake, and streaming platforms (Kafka/EventHub). This role will develop and maintain our feature store, ensure training-serving consistency, build low-latency feature retrieval layers for real-time model scoring, and support ML workflows end-to-end. Required Qualifications 8+ years of experience with ML feature engineering, feature stores (Databricks FS, Feast, or equivalent), cloud platforms, and data quality practices. 4+ years of Hands-on use of GenAI engineering tools (Cursor, Windsurf, GitHub Copilot, Databricks Assistant) is required to accelerate pipeline development, validation, automation, and documentation. 5+ years of experience in delivering tested, reliable, well-documented feature pipelines and enable seamless integration with downstream ML and decisioning systems. About NTT DATA Services: NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($34.39 to $71.65). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits. #indist #li-northamerica

This job posting was last updated on 12/16/2025

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