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410 EPAM Systems Jobs

Senior Machine Learning Engineer

5-10 years

Hyderabad / Secunderabad

1 vacancy

Senior Machine Learning Engineer

EPAM Systems

posted 15hr ago

Job Role Insights

Flexible timing

Job Description

We are currently seeking 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. You will work with large datasets, extract meaningful insights, and apply statistical analysis. Collaborating with cross-functional teams, you will integrate machine learning models into production environments and implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization.

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
  • Collaborate with cross-functional teams to integrate machine learning models into production environments
  • 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
  • Proven experience of 5+ years 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
  • Hands-on experience with cloud computing platforms like AWS, Azure, or Google Cloud (GCP)
  • Solid understanding of data preprocessing, feature engineering, and model evaluation
  • Experience with building and deploying machine learning models in production environments
  • Excellent problem-solving skills, critical thinking, and attention to detail
  • Strong communication skills and the ability to work effectively in a collaborative team environment
  • 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.)

Employment Type: Full Time, Permanent

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What people at EPAM Systems are saying

Senior Machine Learning Engineer salary at EPAM Systems

reported by 2 employees with 2-6 years exp.
₹31.9 L/yr - ₹40.8 L/yr
74% more than the average Senior Machine Learning Engineer Salary in India
View more details

What EPAM Systems employees are saying about work life

based on 1.3k employees
84%
97%
84%
93%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

EPAM Systems Benefits

Submitted by Company
Financial Aid & Assistance
Unified Assessments (UA)
Paid Leaves
EngX 360 Continuous Improvement
Global Relocation Policy
Submitted by Employees
Work From Home
Health Insurance
Soft Skill Training
Job Training
Cafeteria
International Relocation +6 more
View more benefits

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