Ml Engineer

2 weeks ago


Hyderabad, India Winjit Technologies Full time

Role & responsibilities

  • Design, develop, and optimize scalable ML pipelines using Python and modern ML engineering tools.
  • Implement feature stores, model versioning, and model serving using tools like Feast, Kubeflow, and MLflow.
  • Work closely with data scientists to productize machine learning models in production environments.
  • Write and maintain Dockerfiles and Kubernetes YAML configurations to containerize and deploy models and services.
  • Apply performance tuning and optimization techniques to improve ML pipeline efficiency.
  • Work in Big Data environments and integrate with data platforms when required.
  • Collaborate with cross-functional teams including data engineering, DevOps, and product teams to deliver ML solutions.
  • Maintain documentation, ensure version control, and follow best practices for reproducibility and model governance.

Preferred candidate profile

  • 5+ years of experience in Python programming with focus on performance tuning and optimization.
  • Proficiency in NumPy, Pandas, and data frame operations.
  • Hands-on experience with Feast, Kubeflow, and MLflow.
  • Solid understanding of Docker and Kubernetes; ability to write and manage YAML configurations.
  • Working knowledge of Big Data environments (Spark, Hadoop, etc.) is a plus.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication and interpersonal skills; ability to thrive in a fast-paced and collaborative environment.
  • Solid understanding of machine learning and data science fundamentals.

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