ML Ops Engineer

3 weeks ago


Bengaluru Pune, India Agiliad Technologies Private Limited Full time

Job Description Key Responsibilities - Design, deploy, and maintain end-to-endML pipelinesfor training, testing, and deploying models in production. - Automate model versioning, CI/CD, and monitoring using modern MLOps frameworks. - Implementdata version control, model registry, and automated retraining workflows. - Monitor model performance, drift, and system reliability in production. - Collaborate withdata engineeringandDevOpsteams to ensure smooth integration with production systems. - Optimize cloud-based ML workflows for scalability and cost-efficiency. - Ensure compliance, reproducibility, and documentation for ML lifecycle management. Required Skills and Experience - Strong backgroundin ML Ops or DevOps with ML pipeline experience. - Proficiency inPythonand experience with libraries likeTensorFlow, PyTorch, Scikit-learn. - Hands-on experience withML pipeline toolssuch asKubeflow, MLflow, Airflow, or TFX. - Experience withcontainerization and orchestration(Docker, Kubernetes). - Familiarity withCI/CD tools(GitHub Actions, Jenkins, GitLab CI, etc.). - Experience withcloud platforms(AWS, Azure, GCP) and their ML services. - Knowledge ofmonitoring tools(Prometheus, Grafana, ELK, etc.). - Strong understanding ofdata pipelines,feature stores, andmodel lifecycle management. Good to Have - Exposure toLLMOpsorGenAI pipeline management. - Experience withFeature Store frameworks(Feast, Hopsworks). - Familiarity withDataBricks, Vertex AI, or SageMaker. - Understanding ofAPI deploymentandmicroservices architecturefor ML models. Educational Qualification - Bachelor's or Master's degree inComputer Science, Data Engineering, or related field. Why Join Us - Work on cutting-edge ML and GenAI projects. - Opportunity to design scalable ML systems from scratch. - Collaborative, innovation-driven culture.


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