MLOPS Engineer
7 days ago
Job Title: MLOPS Engineer
Essential Experience:
Minimum 2 years' experience in a job profile similar to the one detailed below.
1. Experience and Strong understanding of machine learning principles and model lifecycle management.
2. Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
3. Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
4. Knowledge of CI/CD pipelines, automation tools and version control systems like Git.
5. Strong problem-solving skills and ability to troubleshoot complex issues.
6. Monitoring & MLOps Tools: Experience with monitoring tools and practices for model performance in production, detect and address model drift, and use MLOps-specific frameworks like MLflow and Kubeflow.
7. Experience with load balancing, autoscaling, monitoring, and other techniques related to AI model deployment and management.
Preferred Experience
1. Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
2. Experience with working collaboratively in cross-functional teams
3. Experience of working in the healthcare domain
4. AI inference Server setup and ability to setup docker or other container tools for deploying AI modles.
5. Skills in working with databases (SQL, NoSQL), data warehousing, data streaming (e.g., Spark, Kafka), and orchestrating data pipelines using tools like Airflow or others.
Job Description:
The candidate will be expected to work in a cross-disciplinary team working towards deploying AI models for clinical practice. The candidate will work full time in building, optimizing, deploying, monitoring and maintaining DL/ML pipelines for use across the institute network.
Qualification:
Master's degree in Science, Computer Science/ Application/ Bioinformatics/ Computational Biology, OR BE/ B.Tech in Computer Application.
Location: Kharghar
contact us:
Job Types: Full-time, Contractual / Temporary
Contract length: 6 months
Work Location: In person
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