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hace 1 mes
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 seeking a Senior Machine Learning Engineer with extensive experience in Data Science to join our remote team. In this role, you will be responsible for developing and implementing advanced machine learning models and algorithms to solve complex business problems. You'll be working on cutting-edge projects that involve Natural Language Processing and modern language modelling techniques. If you have a passion for solving real-world problems with machine learning and data science, we encourage you to apply.
Responsibilities- Design and develop advanced machine learning models and algorithms to solve complex business problems
- Collect, preprocess, and analyze large datasets to develop and train models
- Deploy models to production using Amazon SageMaker and other relevant tools
- Collaborate with cross-functional teams to identify business problems and opportunities for machine learning solutions
- Communicate with customers to understand their requirements and provide solutions that meet their needs
- Stay up-to-date with the latest developments in machine learning and data science
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Minimum of 3 years of experience in developing and implementing machine learning models and algorithms
- Excellent programming skills in Python
- Proven experience in Natural Language Processing, including classification, Named Entity Recognition (NER), and sentiment analysis
- Familiarity with modern language modelling techniques, such as transformers
- Experience working with Amazon SageMaker for model training and deployment
- Strong communication skills to collaborate with cross-functional teams
- Fluent English language skills with an Upper-Intermediate level
- Experience working with AWS Comprehend, AWS Lambda, and AWS API Gateway
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Experience with big data technologies such as Hadoop, Spark, or Hive
- Experience with data visualization tools such as Tableau or Power BI
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Mid-Senior level
Employment typeFull-time
Job functionEngineering, Information Technology, and Research
IndustriesSoftware Development, IT Services and IT Consulting, and Travel Arrangements
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