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EPAM Systems

Compare

3.8

based on 1.3k Reviews

410 EPAM Systems Jobs

Senior Machine Learning Engineer

EPAM Anywhere

3.8

based on 1.3k Reviews

5-10 years

Chennai

1 vacancy

Senior Machine Learning Engineer

EPAM Systems

posted 15hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Cloud Computing Machine Learning Computer Vision GCP Deep Learning

+ 3 more

Job Description

We are looking for a Senior Machine Learning Engineer to join our team.

In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms for various applications, including NLP, computer vision, deep learning, and reinforcement learning.

Responsibilities

Design, develop, and deploy machine learning models and algorithms for various applications
Build and maintain scalable ML pipelines for data processing, model training, and evaluation
Utilize machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn to build and fine-tune models
Work with large datasets to extract meaningful insights and apply statistical analysis
Implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization
Conduct experiments, evaluate models, and iterate based on performance metrics
Stay up-to-date with the latest research and advancements in machine learning, deep learning, NLP, and other AI technologies

Requirements

Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, or a related field
5+ years experience as a Machine Learning Engineer, Data Scientist, or similar role
Strong expertise in machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learning
Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn
Solid understanding of data preprocessing, feature engineering, and model evaluation
Hands-on experience with cloud computing platforms like AWS, Azure, or Google Cloud (GCP)
Experience with building and deploying machine learning models in production environments
B2+ English level proficiency

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.)