Senior Machine Learning Engineer Gurgaon, India
Senior Machine Learning Engineer 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 currently a Senior Machine Learning Engineer to join our team.
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).
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Responsibilities
- Design, develop, and deploy machine learning models and algorithms for various applications, including NLP, computer vision, deep learning, and reinforcement learning
- 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 on them based on performance metrics
- Stay up-to-date with the latest research and advancements in machine learning
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field
- At least 5 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
- 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
- Strong communication skills and the ability to work effectively in a collaborative team environment
- B2+ English level
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.)
