Cloud-Based Machine Learning Operations Specialist

2 days ago


Udaipur, Rajasthan, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000
Machine Learning Engineer Job Description

We are seeking a highly skilled Machine Learning Engineer to join our team. The successful candidate will have prior experience of 2+ years working with machine learning operations and data science.

Key Responsibilities:

  • Deploy, monitor, and scale machine learning models on cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP).
  • Build and maintain continuous integration/continuous deployment (CI/CD) pipelines for machine learning workflows using GitHub Actions, Jenkins, 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, Prometheus/Grafana.
  • Collaborate with data scientists to operationalize machine learning models for personalization, recommendations, and natural language processing.
  • Proficient in Python programming language and machine learning frameworks such as Scikit-learn, TensorFlow, and PyTorch. Familiarity with data pipelines like Airflow, Spark, and SQL is also essential.

Required Skills and Qualifications:

  • Prior experience of 2+ years working with machine learning operations and data science.
  • Strong understanding of machine learning algorithms and deep learning techniques.
  • Familiarity with cloud-based services such as AWS or GCP.
  • Experience with CI/CD pipelines and containerization using Docker and Kubernetes.
  • Knowledge of data storage and retrieval systems such as databases and file systems.
  • Excellent problem-solving skills and ability to troubleshoot complex issues.

Benefits:

This role offers a unique opportunity to work with a talented team of engineers and data scientists. You will have the chance to develop your skills and expertise in machine learning engineering and contribute to innovative projects that drive business growth.

What We Offer:

  • A competitive salary package.
  • Ongoing training and professional development opportunities.
  • A dynamic and supportive work environment.
  • The chance to work on cutting-edge projects and collaborate with experienced professionals.


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