Senior System Emgineer

TymblHub; Bengaluru; On-site; INR 2,500,000 - 2,760,000; Full time

Job summary

Epam Systems in Bengaluru, India seeks a Senior Systems Engineer to own end-to-end MLOps pipelines across data ingestion, labeling, training, deployment and monitoring. You will work on cloud and on-prem GPU clusters, ensuring reproducibility and traceability.

Collaborate with AI and framework engineers to optimize models for cloud, edge, and embedded devices. The role requires 5+ years in data labeling, data operations or ML dataset management, with strong Python and some C++ experience.

Qualifications

• Bachelor's or Master's in Engineering, CS, Robotics or related field.
• 5+ years of experience in data labeling, data ops, data quality or ML dataset management (autonomous driving)
• Strong programming in Python; C++ preferred, experience with MLOps frameworks.

Responsibilities

• End-to-End MLOps pipeline development: ingestion, labeling, training, deployment, monitoring.
• Ensure pipelines run on cloud and on-prem GPU clusters with reproducibility.
• Integrate data pipelines with labeling platforms and automate dataset creation and quality gates.
• Support autonomous driving AI engineers with training workflows, experiment tracking, and benchmarking.
• Deploy models to cloud, edge, or embedded devices and monitor performance and drift.

Skills

Python

C++

MLOps frameworks

Docker

Kubernetes

CI/CD

data labeling

data quality

data operations

autonomous driving

Education

Bachelor's or Master's in Engineering/CS/Robotics

Tools

MLflow

Kubeflow

Airflow

Argo

Azure ML

Databricks

Kafka

Spark

Delta Lake

Job description

# Senior System EmgineerEpam SystemsPosted on October 23, 2026---Experience5 - 10 yrsSalary (CTC)₹25L - ₹27.6LJob LocationBengaluru, IndiaVacancy1DesignationSenior Systems EngineerJob TypeNot specified---## Job Description**Role & responsibilities*** **End-to-End MLOps Pipeline Development*** • Build and maintain automated **end-to-end ML pipelines** covering data ingestion, dataset management, labeling workflows, training, validation, optimization, deployment, and monitoring.* • Ensure ML pipelines run in both **cloud and on-prem GPU clusters**, with strong reproducibility and traceability.* **Data & Labeling Integration*** • Integrate data pipelines with labeling platforms and automate dataset creation and quality checks.* • Work closely with the **Label Manager** to enforce labeling quality gates and track dataset KPIs.* **Training, Testing & Optimization*** • Support AI Engineers by automating training workflows, hyperparameter tuning, experiment tracking, and benchmarking.* • Integrate optimization steps (quantization, compilation, pruning, distillation) in collaboration with the Framework Engineer.* **Model Deployment*** • Establish deployment pipelines for ML models to:* o Cloud platforms (Azure)* o On-prem HPC/GPU clusters (Kubernetes, Slurm, NVIDIA infrastructure)* o Embedded compute platforms (NVIDIA Orin)* **Monitoring & Observability*** • Develop automated monitoring systems for **model drift, data drift, performance degradation, anomalies**, and operational metrics.* • Build dashboards and alerts to monitor model performance across simulation and on-vehicle tests.* **Collaboration & Cross-Functional Alignment*** • Work closely with:* o **AI Engineers** on training and evaluation* o **Framework Engineers** on model optimization* o **Application Engineers** integrating ML outputs into the autonomy stack* o **Data Engineering** on scalable data and storage architecture* o **ML Architect**on integration and implementation of new components* • Drive best practices for MLOps, documentation, and standardized ML workflows across the department.* • Steer and guide MLOPS engineers.* **Required Skills & Experience*** • Bachelors or Master’s degree in Engineering, Computer Science, Robotics, or related field.* • 5+ years(Tech lead) of experience in data labeling, data operations, data quality, or ML dataset management—preferably in **autonomous driving**.* • Strong programming skills in **Python**, with familiarity in **C++** preferred.* • Hands-on experience with **MLOps frameworks**: MLflow, Kubeflow, Airflow, Argo, Azure ML, Databricks or similar.* • Strong understanding of **Docker, Kubernetes, CI/CD**, and distributed training.* • Experience with data pipeline technologies (Kafka, Spark, Delta Lake, Databricks).* • Good understanding of **multimodal autonomous driving data** (camera, LiDAR, radar).* • Proven experience deploying models to **cloud, edge, or embedded devices**.* • Experience with real-time systems and embedded CI/CD pipelines.MUST HAVE SKILLS: Data Devops with Azure, Docker, Kubernetes, python, MLOPS, Continuous Integration**Preferred candidate profile****Perks and benefits**---### KeywordsGenaiAzureOTELLLM---About the company## Epam SystemsIT Services & Consulting · Foreign MNCEPAM Systems delivers digital transformation and product engineering solutions, addressing complex challenges in diverse industries through innovative technology.Newtown, Pennsylvania, United Stateswelcome.epam.in