We’re seeking a skilled MLOps Engineer for one of our clients. Requirements: 3+ years of experience in MLOps, ML engineering, or DevOps roles supporting ML systems Proficiency in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Hands-on experience with orchestration tools (e.g., Kubeflow, MLflow, Airflow) Experience with cloud computing platforms (AWS, GCP, or Azure) Strong understanding of CI/CD concepts and version control systems like Git Familiarity with containerization and orchestration tools (Docker, Kubernetes) Experience with model monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Solid understanding of the ML lifecycle, from experimentation to production Preferred Qualifications: Experience with infrastructure-as-code (Terraform, CloudFormation) Background in software engineering or data engineering Knowledge of responsible AI practices and model interpretability tools Certifications in cloud platforms or MLOps tools (a plus) Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Software Development and Retail #J-18808-Ljbffr Syntagma Group
...and Development (T&D) assignment will not be considered at this time. You will find additional information about the job in the... ...Bar Codes, such as the Quick Response (QR) Codes available at the USPS, are not considered Postmark dates for the purpose of determining...
...an opportunity for you.Infrastructure Engineers specialize in different areas. Experience... .../Computer EngineeringCybersecurity/NetworkingComputer ScienceExperience Levels:Entry... ...in Computer Science, IT/Systems, or internships in Infrastructure EngineeringMid-senior...
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