Source description
About the role
Job Description
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->
Job Overview
Job ID: J52831
Posted Date: 01/12/2026
--> Specialized Area: Machine learning
--> Job Title: Machine Learning Engineer
Location: Atlanta, GA
Duration: 20 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Domain Exposure: Manufacturing, Banking & Finance, Retail, Government, Telecom, Oil & Gas, IT/Software
--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C Bench Recruiter: Jessy Thomas
-->
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Job Description:
Key Responsibilities • Design, develop, and deploy scalable Machine Learning models for real-world business problems • Work with large-scale structured and unstructured datasets • Build and maintain end-to-end ML pipelines (data ingestion, feature engineering, model training, evaluation, and deployment) • Collaborate closely with Data Engineers, Data Scientists, and Product teams • Optimize model performance, accuracy, and efficiency • Implement MLOps best practices including monitoring, versioning, and retraining • Ensure compliance with security, governance, and regulatory standards • Participate in code reviews, design discussions, and technical documentation
Required Skills & Qualifications • 6–11 years of overall experience with strong focus on Machine Learning Engineering • Strong programming experience in Python • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn • Experience with data processing frameworks (Spark, Pandas, NumPy) • Strong understanding of ML algorithms, statistics, and model evaluation techniques • Experience deploying models using REST APIs, Docker, Kubernetes • Solid knowledge of SQL and working with large databases • Experience with cloud platforms (AWS, Azure, or GCP) • Strong problem-solving and communication skills
Nice to Have • Prior experience working with financial services or banking clients • Experience with NLP, Time Series, or Recommendation Systems • Exposure to CI/CD pipelines and automation tools • Knowledge of data governance and model risk management
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