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Senior Machine Learning EngineerEGEN , Inc. DefunctUnited States

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Senior Machine Learning Engineer

EGEN , Inc. Defunct
  • US
    United States
  • US
    United States

À propos

divh2Senior Machine Learning Engineer/h2pDrive the future of our clients AI/ML infrastructure! Lead the design and development of their cutting-edge platform, ensuring responsible, reliable, and efficient machine learning operations. Were seeking a Principal MLOps Architect for a contract, hybrid role in Nashville, TN. We need local candidates who can work on-site in the offices./ph3About the Job:/h3ulliArchitectural Leadership: Lead the architecture and design of our MLOps platform, with a focus on GCP Vertex AI and Kubeflow related platforms./liliResponsible AI Solutions: Develop solutions focused on Responsible AI, including explainability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices./liliDeveloper Experience: Drive enhancements to the MLOps platform to optimize developer experiences for data and ML engineers, incorporating streamlined workflows and advanced tools./liliCollaboration with AI/ML Experts: Collaborate with AI/ML experts across domains such as Computer Vision, NLP, Forecasting, LLMs, and synthetic data. Integrate the latest advancements into the MLOps platform./liliAI/ML Reliability and Observability: Work closely with the AI/ML Reliability engineering team to develop components that ensure the reliability and observability of our platform./liliExperience in Platform Development: Candidates should have prior experience working with platform teams, especially in the data and AI/ML space./liliCloud Platform Expertise: Proficiency in cloud platforms is essential. Experience in expanding platforms to on-premises and edge deployments is a plus./liliCross-functional Collaboration: Ability to work closely with peer cloud teams, data scientists, and product managers to align platform development with organizational objectives./li/ulh3About You:/h3ulliBachelors or Masters degree in Computer Science, Data Science, AI, or a related field is preferred./lili10+ years of experience in the technology or data field./liliProficient engineering and coding skills in Python and other languages./liliStrong background in AI/ML or Data Sciences technologies and platform development./liliGreat multi-disciplinary knowledge of the technology space (data, cloud, UI, security)./liliExcellent communication, leadership, and project management skills./liliProficient in Infrastructure as a Code (Terraform)./liliStrong background in CI/CD workflows./liliMastery in containerization and Docker./liliSound knowledge of ML pipelines (Kubeflow)./liliStrong Python programming skills (bare minimum requirement)./liliExperience in model development and training./li/ulpCompensation will be commensurate with experience and skills and Egens operational considerations. This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:/pulliComprehensive Health Insurance/liliPaid Leave (Vacation/PTO)/liliPaid Holidays/liliSick Leave/liliParental Leave/liliBereavement Leave/lili401 (k) Employer Match/liliEmployee Referral Bonuses/li/ulpAll roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process./p/div
  • United States

Compétences linguistiques

  • English
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