Senior Software Engineer

We are looking for a highly skilled and experienced Senior Software Engineer to join our team. The ideal candidate will have a strong background in building AI/ML data pipelines using Python and integrating AI/ML models into these pipelines. This role requires a deep understanding of pre and post data processing steps, as well as the ability to work with large datasets and complex algorithms. The successful candidate will play a crucial role in developing and optimizing our AI/ML infrastructure to support data-driven decision-making processes.
If you are passionate about AI/ML and have a proven track record of developing high-performing data pipelines, we would love to hear from you. Join us and be a part of a team that is driving innovation and making a significant impact in the industry.

• Design, develop, and maintain AI/ML data pipelines using Python
• Integrate AI/ML models into data pipelines to ensure seamless data flow and model deployment
• Perform pre and post data processing steps, including data cleaning, normalization, feature extraction, and data augmentation
• Collaborate with data scientists and machine learning engineers to understand model requirements and translate them into scalable solutions
• Optimize and fine-tune data pipelines for performance, scalability, and efficiency
• Stay up-to-date with the latest advancements in AI/ML and data engineering to continuously improve existing pipelines
• Mentor and guide junior engineers in best practices for AI/ML and data engineering

• 3+ years of work experience in software development
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven experience in building AI/ML data pipelines using Python
• Proficiency in data preprocessing and post-processing techniques
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Strong knowledge of data engineering, including setting up and maintaining data pipelines
• Experience with cloud platforms, particularly AWS, for deploying and scaling AI/ML solutions
• Excellent problem-solving skills and the ability to work independently and as part of a team
• Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders
• Hands-on experience with data preprocessing techniques, including normalization, feature extraction, and data augmentation
• Proficiency in model evaluation metrics and techniques, such as cross-validation and A/B testing

• Experience with natural language processing (NLP) techniques and tools
• Knowledge of version control systems like Git

• 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