Machine Learning Engineer
$85.92 - $130 per hourTriOptus LLC
Job Description:
Feature Development and Delivery:
- Senior MLOps Engineer (Contractor)
- 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 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 the evolution of the shared ML platform alongside other MLOps engineers to drive best practices and shared tooling across all products.
- 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.
- Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.
- Oversee pre-release testing, coordinate releases, and ensure smooth enablement of new features.
- 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.
- 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.
- 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 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
- 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.
- Team: Data Science Enablement (MLOps)
- 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)
Vacancy posted 2 days ago
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