Full Time Opportunity Machine Learning Engineer in Denver, COTalentBridge • Denver, CO
Full Time Opportunity Machine Learning Engineer in Denver, CO
TalentBridge • Denver, CO
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[job_card.job_description]Bachelor’s degree (Master’s preferred) in Statistics, Mathematics, Computer Science, or a related quantitative field. years of experience in data science or a related discipline. years of hands-on experience with MLOps and production ML systems. Proven experience deploying and scaling machine learning models in production environments. Strong programming skills in Python and cloud automation / scripting. Experience with big data platforms, real-time / streaming data, and distributed or cluster computing. Hands-on knowledge of cloud platforms, particularly AWS. Implement and operationalize data science models in a cloud-based ML platform (, AWS SageMaker). Design and maintain systems to monitor model performance, reliability, and drift in production. Act as the MLOps subject matter expert, advising data scientists on model design and deployment considerations. Collaborate with data engineering teams to build and maintain data pipelines from enterprise data sources (, Snowflake, time-series systems). Partner with architecture teams to ensure compute, networking, and endpoint requirements are incorporated into ML solutions. Stay current with emerging machine learning techniques, tools, and best practices, and apply them where appropriate. Work effectively within a geographically distributed team, communicating priorities and project status clearly. Design solutions that balance performance, scalability, and cost to meet business objectives.
Role : Senior Machine Learning Engineer
Location : Denver CO (Hybrid)
Type : Fulltime
Only for USC / GC Holder
Role Summary :
- The Machine Learning Engineer is responsible for implementing, deploying, and maintaining machine learning models in a cloud-based ML platform. This role serves as a subject matter expert in Machine Learning Operations (MLOps), bridging the gap between data science and production-grade systems. The engineer will help shape and guide ML solutions within an evolving technology stack and will have the autonomy to recommend and implement best-practice approaches.
Required Education & Experience :
Key Responsibilities :
INDWEST
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