Location: Chennai, Bangalore, Hyderabad, Ahmedabad, Pune Experience: 7+ Years Job Mode: Full-time Work Mode: Hybrid
Job Summary
7+ years in MLOps, ML Engineering, or related roles, focusing on deploying and managing ML workflows in production environments. Hands-on experience building drift detection systems, model calibration frameworks, and robust monitoring tools for ML pipelines.
Proficient in using Databricks, Apace Spark, ML Flow, Unity Catalog, and feature stores.
Expertise in deploying and orchestrating low-latency ML models, including reinforcement learning solutions like Contextual Bandits and Q-learning.
Experience designing automated training pipelines for ML models, focusing on efficiency
Strong knowledge of Git workflows, CI/CD practices, and tools like GitLab or similar.
Proficiency in Python, SQL, and big data processing tools like Spark.
Familiarity with ML lifecycle tools such as MLflow, Kubeflow, and Airflow.
Strong understanding of model performance monitoring, drift detection, and retraining workflows.
About Encora
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.