Python Software Engineer with ML
EPAM Systems
Python Software Engineer with ML Description
Are you looking to take your Python engineering expertise to the next level and delve into the thrilling domain of Machine Learning? EPAM presents a special chance where you can secure a post after just one technical interview and ascend to Machine Learning acumen while maintaining your current title and pay.
We are on the search for a Python Software Engineer eager to join a retraining initiative centered on sophisticated AI technologies. This impactful role entails delving into machine learning concepts, implementing ML systems, and acquiring practical experience on prominent cloud infrastructures.
During this program, you will: Learn about machine learning fundamentals, AI evolution, and the practical use of neural networks and Natural Language Processing (NLP) including expansive language models like GPT. Concentrate on setting up and managing state-of-the-art ML and AI systems. Absorb best practices for escalating models, orchestrating data flows, and addressing operational issues. Obtain practical insights by utilizing Databricks for system setup and management. Examine the complexities of deployment across primary cloud infrastructures: AWS, Azure, and GCP. Learn about EPAM's MLE/MLOps practices and the solutions provided to our clients.
This remote opportunity is available solely to candidates working from any location in Ukraine.
The remote option applies only to the Candidates who will be working from any location in Ukraine.
#LI-DNI#LI-IRINABENKO
Responsibilities
- Learn about machine learning fundamentals, AI evolution, and practical implementations in neural networks and NLP, including advanced models like GPT
- Focus on installing and managing leading-edge ML and AI systems, and learning operational best practices
- Acquire practical experience through Databricks in system implementation and management
- Delve into the nuances of deployment across major cloud platforms: AWS, Azure, and GCP
- Comprehend EPAM’s practices in MLE/MLOps and discover the solutions offered to clients
Requirements
- More than 3 years of industry experience (Middle+ level)
- Competency in Python
- Core knowledge of Machine Learning
- Experience with one or multiple cloud platforms (Azure preferred, or AWS/GCP)
- English skills - B2 level
Nice to have
- Previous exposure to deploying ML solutions
- Active involvement with MLOps tools and practices
- Prior experience with Databricks or similar platforms
- Knowledge in scaling large systems
We offer
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Change projects and technology stacks within EPAM
- Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
- Consider relocation options in over 30 countries worldwide
- Participate in volunteer, charity programs and communities (both technical and interest-based)
- You can plan your individual career path together with your manager
- Receive regular feedback from colleagues
- Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
- Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
- Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
- Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
- Study at EPAM Solution Architecture School with the instructors who are practicing architects
- Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
- Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
- Vacation and sick leave (including a sick leave without a medical certificate)
- A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
- Medical insurance for family members at corporate rates
- Company support during significant life events (childbirth or adoption, marriage, etc.)
- Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
- E-kids program - a free programming language training program for EPAMers' children
EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.