Vadapalani Chennai Tamil Nadu Systems engineer data devops/mlops Jobs – 3 Open Jobs Today

Lead Systems Engineer - Data DevOps/MLOps
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- Computer Science
- DevOps
- Health insurance
- Paid time off
Senior Systems Engineer - Data DevOps/MLOps
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- Computer Science
- DevOps
- Health insurance
- Paid time off
Site Reliability Engineer
Trimble —Chennai, Tamil Nadu
- Online application
- Azure
- Computer Science
- DevOps

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Lead Systems Engineer - Data DevOps/MLOps

EPAM Systems, Inc. -
Chennai, Tamil Nadu

Apply Now

Job details

Benefits

Health insurance
Paid time off

Qualifications

TensorFlow
CI/CD
Azure
Computer Science
Kubernetes
Ansible
PyTorch
Big data
DevOps
Spark
Git
Apache Hive
Master's degree
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Version control systems
Terraform
Continuous integration
Systems engineering
GitHub
Jenkins
GitLab
Communication skills
Python
Hadoop

Full job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a skilled and passionate Lead Systems Engineer with Data DevOps/MLOps expertise to drive innovation and efficiency across our data and machine learning operations.

Responsibilities

Design, deploy, and manage CI/CD pipelines for seamless data integration and ML model deployment
Establish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutions
Automate critical workflows such as data validation, transformation, and orchestration for streamlined operations
Collaborate with cross-functional teams, including data scientists and engineers, to integrate ML solutions into production environments
Improve model serving, performance monitoring, and reliability in production ecosystems
Ensure data versioning, lineage tracking, and reproducibility across ML experiments and workflows
Identify and implement opportunities to improve scalability, efficiency, and resilience of the infrastructure
Enforce rigorous security measures to safeguard data and ensure compliance with relevant regulations
Debug and resolve technical issues in data pipelines and ML deployment workflows

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
8+ years of experience in Data DevOps, MLOps, or related disciplines
Expertise in cloud platforms such as Azure, AWS, or GCP
Skills in Infrastructure as Code tools like Terraform, CloudFormation, or Ansible
Proficiency in containerization and orchestration technologies such as Docker and Kubernetes
Hands-on experience with data processing frameworks including Apache Spark and Databricks
Proficiency in Python with familiarity with libraries including Pandas, TensorFlow, and PyTorch
Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, and GitHub Actions
Experience with version control systems and MLOps platforms including Git, MLflow, and Kubeflow
Understanding of monitoring and alerting tools like Prometheus and Grafana
Strong problem-solving and independent decision-making capabilities
Effective communication and technical documentation skills

Nice to have

Background in DataOps methodologies and tools such as Airflow or dbt
Knowledge of data governance platforms like Collibra
Familiarity with Big Data technologies such as Hadoop or Hive
Showcase of certifications in cloud platforms or data engineering tools

We offer

Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Apply Now

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systems engineer data devops/mlops jobs in vadapalani chennai tamil nadu

Lead Systems Engineer - Data DevOps/MLOps

Senior Systems Engineer - Data DevOps/MLOps

Site Reliability Engineer

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