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Senior ML Ops Engineer

1.00 to 10.00 Years   Pakistan   06 Jul, 2023
NorthBay LLC
1 Jobs Openings
Job LocationPakistan
EducationNot Mentioned
SalaryNot Mentioned
IndustryOther Business Support Services
Functional AreaNot Mentioned

Job Description

We are seeking an experienced ML Ops Engineer to join our team. As an ML Ops Engineer, you will play a crucial role in developing and maintaining our machine learning infrastructure and operational workflows. You will work closely with data scientists, software engineers, and DevOps teams to ensure the smooth deployment and operation of machine learning models in production.Responsibilities:

  • Develop and maintain machine learning infrastructure for production environments.
  • Collaborate with data scientists and software engineers to ensure models are production-ready.
  • Implement CI/CD pipelines and automate model deployment processes.
  • Monitor and troubleshoot production systems hosting machine learning models.
  • Establish version control and model tracking using tools like MLflow.
  • Optimize and scale ML workflows for efficiency and scalability.
  • Ensure security and compliance with data privacy regulations.
Requirements:
  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • 3 to 5+ years of experience in ML Ops or related roles.
  • Strong knowledge of DevOps principles, CI/CD pipelines, and version control systems.
  • Experience with AWS Cloud ML services (e.g., Amazon SageMaker, AWS Glue, AWS Lambda).
  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Familiarity with MLflow or similar model tracking and deployment tools.
  • Understanding of Docker, Kubernetes, networking, security, and data privacy.
  • Strong problem-solving and communication skills.
Preferred Qualifications:
  • Experience with other cloud platforms (e.g., AWS, GCP, Azure).
  • Knowledge of data engineering and data warehousing concepts.
  • Familiarity with monitoring and logging tools (e.g., ELK stack, Prometheus, Grafana).
  • Experience with automated testing frameworks for ML models.
  • Knowledge of Big Data technologies (e.g., Apache Spark, Hadoop).
  • Note: Years of experience required may vary based on the positions level and seniority.

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