Chetput Chennai Tamil Nadu Senior systems engineer data devops/mlops Jobs – 1 Open Jobs Today

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

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Senior 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
Big data
DevOps
Spark
Git
Apache Hive
Master's degree
Pandas
AWS
Docker
Bachelor's degree
Machine learning
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 looking for a dedicated and proficient Senior Systems Engineer with extensive Data DevOps/MLOps knowledge to enhance our team.

The ideal candidate should possess a comprehensive knowledge of data engineering, data pipeline automation, and machine learning model operationalization. The role demands a cooperative professional skilled in designing, deploying, and managing extensive data and ML pipelines in alignment with organizational objectives.

Responsibilities

Develop, deploy, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for data integration and machine learning model deployment
Set up and sustain infrastructure for data processing and model training through cloud-based resources and services
Automate processes for data validation, transformation, and workflow orchestration
Work closely with data scientists, software engineers, and product teams for a smooth integration of ML models into production
Enhance model serving and monitoring to boost performance and dependability
Manage data versioning, lineage tracking, and the reproducibility of ML experiments
Actively search for enhancements in deployment processes, scalability, and infrastructure resilience
Implement stringent security protocols to safeguard data integrity and compliance with regulations
Troubleshoot and solve issues throughout the data and ML pipeline lifecycle

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
5+ years of experience in Data DevOps, MLOps, or similar roles
Proficiency in cloud platforms such as Azure, AWS, or GCP
Background in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible
Expertise in containerization and orchestration technologies including Docker and Kubernetes
Hands-on experience with data processing frameworks such as Apache Spark and Databricks
Proficiency in programming languages including Python with an understanding of data manipulation and ML libraries like Pandas, TensorFlow, and PyTorch
Familiarity with CI/CD tools including Jenkins, GitLab CI/CD, and GitHub Actions
Experience with version control tools and MLOps platforms such as Git, MLflow, and Kubeflow
Strong understanding of monitoring, logging, and alerting systems including Prometheus and Grafana
Excellent problem-solving abilities with capability to work independently and in teams
Strong skills in communication and documentation

Nice to have

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

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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Senior Systems Engineer - Data DevOps/MLOps

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