coimbatore tamil nadu validation engineer Jobs – 92 Open Jobs Today

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

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Lead Systems Engineer - Data DevOps/MLOps
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
MLOps Architect
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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Senior Systems Engineer - Data DevOps/MLOps

EPAM Systems, Inc. -
Coimbatore, Tamil Nadu

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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
Version control systems
Terraform
Continuous integration
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 detail-oriented and motivated Senior Systems Engineer with a strong focus on Data DevOps/MLOps to join our team.

The ideal candidate should possess a deep understanding of data engineering, automation of data pipelines, and integration of machine learning models into operational environments. This role is for a collaborative professional adept at building, deploying, and managing scalable data and ML pipelines aligned with strategic objectives.

Responsibilities

Design CI/CD pipelines for data integration and machine learning model deployment
Deploy and maintain infrastructure for data processing and model training using cloud services
Automate processes like data validation, transformation, and workflow orchestration
Coordinate with data scientists, software engineers, and product teams to integrate ML models into production environments
Enhance performance and reliability by optimizing model serving and monitoring processes
Ensure data versioning, lineage tracking, and reproducibility across ML experiments
Identify improvements for deployment processes, scalability, and infrastructure resilience
Implement security measures to safeguard data integrity and maintain compliance
Resolve issues in the data and ML pipeline lifecycle

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
5 or more years of experience in Data DevOps, MLOps, or related professions
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 tools such as Docker and Kubernetes
Skills in using data processing frameworks like Apache Spark or Databricks
Proficiency in Python, with familiarity with data manipulation and ML libraries such as Pandas, TensorFlow, or PyTorch
Familiarity with CI/CD tools like Jenkins, GitLab CI/CD, or GitHub Actions
Knowledge of version control systems, such as Git, and MLOps platforms like MLflow or Kubeflow
Understanding of monitoring, logging, and alerting systems like Prometheus or Grafana
Strong problem-solving abilities with the capability to work both independently and collaboratively
Effective communication and documentation skills

Nice to have

Familiarity with DataOps practices and tools like Airflow or dbt
Understanding of data governance frameworks and tools like Collibra
Knowledge of Big Data technologies such as Hadoop or Hive
Credentials in cloud platforms or data engineering activities

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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