ManagerEXL M 1435557 ServicesGurgaon Posted On 28 Jul 2025 End Date 11 Sep 2025 Required Experience 5 - 10 Years Basic Section Number Of Positions 1 Band C1 Band Name Manager Cost Code D013514 Campus Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000 0000 - 2500000 0000 Complexity Level Not Applicable Work Type Hybrid - Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics - UK Europe Organization Services LOB Analytics - UK Europe SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill MACHINE LEARNING Minimum Qualification B COM Certification No data available Senior MLOps Engineer Position Senior MLOps Engineer Location Gurugram Relevant Experience Required 6 years Employment Type Full-time About the Role We are seeking a Senior MLOps Engineer with deep expertise in Machine Learning Operations Data Engineering and Cloud-Native Deployments This role requires building and maintaining scalable ML pipelines ensuring robust data integration and orchestration and enabling real-time and batch AI systems in production The ideal candidate will be skilled in state-of-the-art MLOps tools data clustering big data frameworks and DevOps best practices ensuring high reliability performance and security for enterprise AI workloads Key Responsibilities MLOps Machine Learning Deployment Design implement and maintain end-to-end ML pipelines from experimentation to production Automate model training evaluation versioning deployment and monitoring using MLOps frameworks Implement CI CD pipelines for ML models GitHub Actions GitLab CI Jenkins ArgoCD Monitor ML systems in production for drift detection bias performance degradation and anomaly detection Integrate feature stores Feast Tecton Vertex AI Feature Store for standardized model inputs Data Engineering Integration Design and implement data ingestion pipelines for structured semi-structured and unstructured data Handle batch and streaming pipelines with Apache Kafka Apache Spark Apache Flink Airflow or Dagster Build ETL ELT pipelines for data preprocessing cleaning and transformation Implement data clustering partitioning and sharding strategies for high availability and scalability Work with data warehouses Snowflake BigQuery Redshift and data lakes Delta Lake Lakehouse architectures Ensure data lineage governance and compliance with modern tools DataHub Amundsen Outstanding Expectations Cloud Infrastructure Deploy ML workloads on AWS Azure or GCP using Kubernetes K8s and serverless computing AWS Lambda GCP Cloud Run Manage containerized ML environments with Docker Helm Kubeflow MLflow Metaflow Optimize for cost latency and scalability across distributed environments Implement infrastructure as code IaC with Terraform or Pulumi Real-Time ML Advanced Capabilities Build real-time inference pipelines with low latency using gRPC Triton Inference Server or Ray Serve Work on vector database integrations Pinecone Milvus Weaviate Chroma for AI-powered semantic search Enable retrieval-augmented generation RAG pipelines for LLMs Optimize ML serving with GPU TPU acceleration and ONNX TensorRT model optimization Security Monitoring Observability Implement robust access control encryption and compliance with SOC2 GDPR ISO27001 Monitor system health with Prometheus Grafana ELK EFK and OpenTelemetry Ensure zero-downtime deployments with blue-green canary release strategies Manage audit trails and explainability for ML models Preferred Skills Qualifications Core Technical Skills Programming Python Pandas PySpark FastAPI SQL Bash familiarity with Go or Scala a plus MLOps Frameworks MLflow Kubeflow Metaflow TFX BentoML DVC Data Engineering Tools Apache Spark Flink Kafka Airflow Dagster dbt Databases PostgreSQL MySQL MongoDB Cassandra DynamoDB Vector Databases Pinecone Weaviate Milvus Chroma Visualization Plotly Dash Superset Grafana Tech Stack Orchestration Kubernetes Helm Argo Workflows Prefect Infrastructure as Code Terraform Pulumi Ansible Cloud Platforms AWS SageMaker S3 EKS GCP Vertex AI BigQuery GKE Azure ML Studio AKS Model Optimization ONNX TensorRT Hugging Face Optimum Streaming Real-Time ML Kafka Flink Ray Redis Streams Monitoring Logging Prometheus Grafana ELK OpenTelemetry Workflow Workflow Type Back Office

📌 Manager (Haryana)
🏢 EXL Service
📍 Haryana