Machine Learning Engineer Senior

Machine Learning Engineer Senior

Requirements

• 4–6 years of experience in ML engineering
  , with strong expertise in
  MLOps and system architecture
  .
• Proficiency in
  Python
  and ML frameworks such as
  TensorFlow, PyTorch, and Scikit-learn
  .
• Hands-on experience with
  MLOps tools
  (MLflow, Kubeflow, SageMaker, Airflow).
• Strong knowledge of
  cloud platforms
  (AWS, Azure, GCP) and
  containerization technologies
  (Docker, Kubernetes).
• Experience with
  model monitoring, logging, and performance optimization
  .
• Solid understanding of
  data pipelines, APIs, and distributed systems
  .
• Preferred certifications:
  AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent.
• Advanced English proficiency
  , able to document and present technical solutions to diverse stakeholders.