Machine Learning Ops Engineer (India)

Machine Learning Ops Engineer (India)

Key Responsibilities:

- Design, implement and maintain ML pipelines for model training, validation, and deployment
- Automate model deployment processes using CI/CD pipelines and containerization technologies
- Monitor model performance, data drift, and system health in production environments
- Collaborate with data scientists to operationalize machine learning models and algorithms
- Implement version control for models, datasets, and ML experiments using MLOps tools
- Optimize ML infrastructure for scalability, reliability, and cost-effectiveness
- Troubleshoot and resolve issues related to model deployment and production systems
- Maintain documentation for ML workflows, deployment processes, and system architecture




- This position may require availability outside of standard business hours as part of a rotational on-call schedule.

What You’ll Need to Be Successful (Required Skills):

- 2-4 years of experience in software development, DevOps, or data engineering
- Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, Scikit-learn
- Experience with containerization (Docker) and orchestration tools (Kubernetes)
- Knowledge of cloud platforms such as AWS, Azure, GCP and their ML services
- Understanding of CI/CD pipelines, version control (Git), and infrastructure as code
- Familiarity with monitoring tools and logging frameworks for production systems
- Experience with data pipeline tools such as Apache Airflow, Kubeflow, or similar
- Strong problem-solving skills and ability to work in fast-paced, collaborative environments.

Preferred Skills:

- Experience with MLOps platforms such as MLflow, Weights & Biases, Neptune
- Knowledge of streaming data processing such as Kafka, Kinesis
- Familiarity with infrastructure monitoring tools such as Prometheus, Grafana




- Understanding of model interpretability and explainability techniques
- Experience with feature stores and data versioning tools
- Certification in cloud platforms such as AWS ML, Azure AI, GCP ML.

Job Types: Full time, Permanent

Pay: Up to ₹4,000,000.00 per year

Benefits:

- Food provided
- Health insurance
- Provident Fund

Application Question(s):

- What is your current notice period?
- Where do you stay in Bangalore?
- Are you ok with 5 days of work from the office?

Work Location: In person

The original job offer can be found in Kit Job:
kitjob.in/job/178642539