Machine Learning Engineer job

• Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor.
• Candidates will be the primary MLOps expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production.
• Candidate's focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to client's shared ML platform.
• Candidates will work closely with cross-functional collaborators-including ML researchers, product managers, and platform engineers-to deliver scalable, reliable, and low-latency ML solutions.
• This contract position has potential to transition into a full-time role in the future based on performance and business needs., Feature Development and Delivery:
• Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.

Technical Ownership and Stewardship:

• Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.
• End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.

Contribute to ML platform:

• Contribute to the evolution of the shared ML platform alongside other MLOps engineers to drive best practices and shared tooling across all products.

Operational Excellence:

• Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.
• Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.

Continuous Improvement:

• Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.

Release Management:

• Oversee pre-release testing, coordinate releases, and ensure smooth enablement of new features.

Leadership:

• Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.
• Mentor and coach other engineers, supporting their professional growth.
• Foster a culture of collaboration, continuous improvement, and knowledge sharing.

Act Like an Owner:

• Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.
• Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results., * Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company's strategy.
• Candidate's work will directly influence the reliability, scalability, and evolution of critical production systems.
• Autonomy: Take end-to-end technical ownership of candidate's product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.
• Collaboration: Join a cross-functional, high-performing team where candidate's expertise is valued and candidate's contributions make a real difference.

• 5 plus years as an ML Engineer, MLOps Engineer, or similar, with hands-on production experience
• Proven expertise with ML model deployment, API design, and integration into production environments
• Strong Python programming and relevant ML/data libraries
• Experience with containerization, orchestration, and AWS cloud services
• Building and operating CI/CD pipelines (Jenkins preferred)
• Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB
• Monitoring, troubleshooting, and optimizing production ML systems
• Pre-release testing and release management
• Demonstrated ability to work independently, navigate ambiguity, and deliver results
• Excellent communication skills and ability to collaborate in cross-functional teams

Experience and Skills - Preferred:

• Experience with MLFlow, model versioning, and storage
• Exposure to GenAI/NLP, AutoML, model explainability
• Familiarity with Databricks or similar platforms
• Experience supporting high-volume, real-time data products
• Automated testing and validation frameworks

• Rate card: $85.92 - $130.00 hourly.
• Any candidate submitted with a bill rate over $130 will be rejected.
• Work schedule and time zone: Eastern Time 8.00 am to 5.00 pm
• Overtime Eligible(Y/N): N
• Workstoppage Eligible (Y/N): HM looking into this
• Remote (Y/N): Y
• Potential to convert and/or extend: Yes.
• If convert, need to be located in Cincinnati OH, Atlanta GA, or Alpharetta GA (3-day onsite requirement)