Machine Learning Engineer

20 hours ago


Thrissur, Kerala, India beBeeMachineLearning Full time ₹ 75,00,000 - ₹ 1,50,00,000

Pursue a career as a Machine Learning Operations Engineer with our organization.

Key Responsibilities:
  • Develop, deploy, and maintain scalable machine learning models on cloud platforms such as AWS or GCP.
  • Build efficient continuous integration and delivery pipelines for machine learning workflows using GitHub Actions or cloud-native tools.
  • Containerize and orchestrate workloads with Docker and Kubernetes; manage infrastructure via Terraform or CloudFormation.
  • Implement model registries, feature stores, and observability using MLflow, Feast, and Prometheus/Grafana.

You will collaborate with data scientists to operationalize machine learning models for personalization, recommendations, and natural language processing.

Proficiency in Python, machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL) is required.

Bonus: experience with real-time machine learning serving, A/B testing, or media/recommender systems.

Responsibilities Include:

  1. Spearheading the deployment, monitoring, and scaling of machine learning models across various cloud platforms.
  2. Crafting and maintaining seamless continuous integration and delivery pipelines for machine learning workflows.
  3. Designing and implementing robust containerization and orchestration strategies with Docker and Kubernetes.
  4. Fostering collaboration between data scientists to drive model operationalization for enhanced business outcomes.

Necessary Skills:

  • Strong background in machine learning operations and data science.
  • Expertise in Python programming and machine learning frameworks.
  • Proficiency in data pipelines and storage solutions.
  • Experience with cloud platforms (AWS, GCP) and containerization/orchestration tools (Docker, Kubernetes).


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