Role: Search Engineer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
UG: Any Graduate
PG: Any Postgraduate
Educational Requirements
Bachelor of Engineering Service Line Data Analytics Unit
Responsibilities
Strong Python programming Hands-on experience in Machine Learning workflows Experience with MLOps tools: MLflow / Kubeflow / Airflow / SageMaker / Vertex AI Knowledge of CI/CD tools (GitHub Actions, Jenkins, etc.) Experience deploying models using: Docker, REST APIs, Flask/FastAPI Understanding of: Model versioning, Experiment tracking, Model monitoring
Additional Responsibilities
Experience with real-time inference systems Exposure to monitoring tools (Prometheus, Grafana) Knowledge of LLM deployment / RAG pipelines
Technical and Professional Requirements
Exposure to cloud platforms (AWS / Azure / GCP) for ML deployment Knowledge of LLMOps / GenAI deployment pipelines Familiarity with: Feature stores, Data pipelines (Spark, Kafka) Experience with Kubernetes (basic deployment level)
Preferred Skills
Analytics-Data Science Technology-AI-Data science-Data Science - Basic Technology-AI-Generative AI-Generative AI - Basic