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ML Engineer

4 months ago

hyderabad, India Saaki Argus & Averil Consulting Full time

Key Responsibilities:

  • Design and implement MLOps pipelines using tools and frameworks.
  • Design, develop, and implement data pipelines and engineering infrastructure to support enterprise-scale machine learning systems.
  • This could involve tasks such as data ingestion, pre-processing, transformation, feature engineering, and model training.
  • Build CI/CD pipelines using tools like GitLab CI, GitHub Actions, Airflow, or similar solutions to automate the ML lifecycle.
  • Collaborate with data scientists and ML engineers throughout the ML lifecycle.
  • Design and implement cloud-based MLOps solutions using platforms
  • Experience in containerization technologies
  • Experience deploying and maintaining various types of machine learning models in production
  • Perform data science model reviews, including code refactoring and optimization, containerization, deployment, versioning, and monitoring of the model's quality.
  • Support data model development, with a focus on auditability, versioning, and data security.


Qualifications:

  • Total 7+ years of work experience , 3+ years in MLOps
  • Strong expertise in GenAI, advanced NLP, computer vision, and ML techniques.
  • Experience in designing, developing, and deploying production-grade AI solutions.
  • Excellent communication and collaboration skills. Ability to work independently and as part of a team.


Location:

  • Bangalore/Hyderabad