MLOps Engineer

Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : (Only W2, No Sponsorship) Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.Refactor and modularize ML codebases to enhance reusability, maintainability, and performance.Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.Integrate with existing mo

Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation: $60.00 - $120,000.00 Work Model: Onsite onsite Hours: 40.0 Security Clearance: None specified Overview Leave placeholder text here for recruiter to input Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.Refactor and modularize ML codebases to enhance reusability, maintainability, and perform

Job Title: Senior ML Ops EngineerLocation: Dallas TX (Onsite) Job Description:Must Have - Tech Skills:Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months). Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle: Evaluation Techniques. Machine Learning Algorithms. Statistical Modeling. End to end deployment. Metric generation. Model monitoring and deployment. Prompt Engine

Greetings, This is Muthukumaran From CTC World. We do have an Excellent Opportunity that suits your Profile. Job Title:MLops Engineer Location:Plano, TX Duration:Long Term About CTC: Founded in 1996, CTC is a global IT services, Consulting and Business Solutions partner dedicated to helping organizations innovate, optimize, and grow. With over 2,000 professionals worldwide, we support more than 100 clients in transforming complex challenges into lasting competitive advantages. Job Description