We work in a hybrid model! Recruitment process for this position and onboarding trainings are conducted online. Capgemini Engineering  is a world leader in  engineering and R&D services . We combine our broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Every day, we help our clients to accelerate their journey towards  Intelligent Industry . At Capgemini, we are a responsible and  diverse . Our organization has a strong 55-year heritage and deep industry expertise. We are trusted by our clients to address the entire breadth of their business needs—from strategy and design to operations. Our actions are fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms. About the project: The project aims to develop Python modules leveraging GenAI with LLM models to address tasks within Silicon development. By integrating these modules into the RL Silicon generation framework, it enables real-time design utilities for Silicon engineers, enhancing efficiency and accuracy in the development process. Your future tasks: Collaborating with stakeholders to understand project requirements Designing the overall architecture of the ML solution Planning the development process, including timelines and milestones Leading a team of Python developers and ML engineers Assigning tasks and ensuring they are completed on time Providing guidance and support to team members Conducting code reviews to maintain code quality Our Requirements: Expert-level proficiency in Python programming language Proven experience in leading software development teams, with the ability to mentor team members, delegate tasks effectively, and drive project success Strong analytical and problem-solving skills, with the ability to identify issues, propose solutions, and implement them efficiently Excellent written and verbal communication skills, with the ability to articulate technical concepts effectively to both technical and non-technical stakeholders Experience with implementing and deploying machine learning models Experience with source code management systems Good knowledge of all phases of the development lifecycle Nice to have: Understanding of machine learning principles, algorithms, and techniques will be a plus What have we prepared for you? A lot of benefits: Flexible working hours Equipment package for home office Private medical care  and  life insurance  with ability to buy additional packages (e.g., dental care, senior care, oncology) on preferential terms. Access to  Capgemini Helpline  with possibility to chat with therapists. Bonuses  for recommending your friends to Capgemini. Access to  Inspiro  app with rich  audiobooks  database Access to our  NAIS  benefit platform ( 40+ options  available:  Netflix ,  SpotifyMultisport , cinema tickets, etc.) Personal and professional development: 70+   training tracks  with  certification  opportunities (e.g. MS Azure, AWS, Google, Cloud) on our  NEXT  training platform. Platform with free access to  Pluralsight ,  TED TalksCoursera  materials and trainings. Free access to  Udemy Business  account with ability to use  during and outside working hours. Transparent  performance management policy. Our legendary atmosphere: We value teamwork and good relationships. We work together, drink coffee together, and form friendships both inside and outside of work. No official dress-code. Various  communities : OUTfront, Women@Capgemini, Foreigners Community, and more. Day off for volunteering Ability to implement  world-changing initiatives  thanks to our  Grant Program The award of " Top Employer Poland 2024 " and " Top Employer Europe 2024 " - proof of our commitment to creating an exceptional work environment and caring for the development of our employees.​​​​​​ Who are we? Being one of us means  constant development  among other great people. It's a team who you want to spend time with, during and after work. Trainings and initiatives make your daily tasks more interesting, fun, and unique. Capgemini Engineering  has 65,000 engineer and scientist team members in over 30 countries across sectors including  Automotive ,  AI and Data ,  Software & Internet ,  Telecommunication , Rail, Infrastructure and Transportation, Defense, Aeronautics, Energy, Communications, Semiconductor & Electronics, Industrial & Consumer. Join us on a journey towards Intelligent Industry! It's time to  #Get the Future You Want ! Your life is in your hands, and you have the opportunity to improve it, develop yourself, and simply —  join us :) Do you want to get to know us better? Visit our Capgemini Engineering  website ! Do you have any additional questions about working at Capgemini? Check our Instagram —  @capgeminipl  or visit our Facebook profile —  Capgemini Engineering . You can also find us on TikTok! —  @capgeminipl .