Title: Senior Engineer (Python, Cloud, AI/GenAI) Location: Poznan United States Job Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role You will play a key role in designing and delivering scalable Python-based solutions in cloud environments. Working with international teams, you will contribute to complex software systems, support AI and GenAI initiatives, and influence technical standards across projects. You can expect a role with real impact, combining hands-on development, architecture design, and knowledge sharing within a strong engineering community. We are hiring in Poznań, Wrocław and Gdańsk! Your tasks - Design and develop scalable back-end solutions using Python in cloud environments - Contribute to solution architectures across Python, cloud and Java-based systems - Act as a technical consultant or lead in Python development projects - Support AI and GenAI initiatives, including LLM-based solutions - Promote clean code, best practices, and high engineering standards - Mentor team members and share technical knowledge through workshops Your profile - Python Expertise: Over 5 years of experience in writing high-quality, scalable code and designing robust software architectures using libraries like Steamlit , Flask, SQLAlchemy, Celery etc. - Preferred AI Development Proficiency: Strong knowledge of Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras, with practical experience in building AI-powered applications. - Preferred AI and LLM Skills: Expertise in frameworks like LangChain and hands-on experience with large language models (e.g., GPT-4, LLaMA). Proficient in working with embeddings, vector databases, and prompt engineering. - System Integration: Proven ability to seamlessly integrate AI components with other system elements (e.g., APIs, databases) to deliver cohesive solutions. - Language Skills: Excellent command of English; knowledge of German is a plus. - Continuous Learning: Eager to adopt new technologies and embrace technical challenges. - Collaboration and Independence: Highly organized, self-reliant, and passionate about sharing knowledge. Strong communication and teamwork abilities. - Commitment to Excellence: Dedicated to building and contributing to a Center of Excellence for AI development, driving innovation and promoting best practices across the organization. What You'll love about working here Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube. #LI-WB1 Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com

Role Description At SCP Health, what you do matters. As part of the SCP Health team, you have an opportunity to make a difference. At our core, we work to bring hospitals and healers together in the pursuit of clinical effectiveness. - Adheres to specifications document(s) to positively impact data capture - Collaborates with the business on the current measures required by regulatory bodies to ensure appropriate data capture - Engages with internal systems for alignment on data requirements - Collaborates with facility, vendor, and internal departments on setting up connectivity (VPN and Ports) - Identifies interface scope through collaboration with facility contacts, vendor contacts, and clinical analysts - Builds appropriate interfaces with vendor(s) and facility - Performs applicable unit testing scenarios specific to different service lines - Performs unit testing of all interfaces prior to handoff for integrated testing with business partners - Identifies, documents and resolves issues assigned by management or team leads - Provides end user support during and post implementation - Participates in workflow design and understands data impacts to users - Complies with process flow models according to business needs - Ensures maintenance of interface translations and lookup tables for proper normalization - Performs data conversions according to FHIR specifications documentation - Maintains knowledge of changes to HL7 structure using HL7 standards - Adheres to and suggests modifications to the HL7 specification - Delivers work within established timeframes - Identifies and takes action on opportunities for process improvement Qualifications - Strong track record of providing excellent work/life balance - Comprehensive benefits package and competitive compensation - Commitment to fostering an inclusive culture of belonging and empowerment through core values - collaboration, courage, agility, and respect Requirements - Pay Range: 75,280.00 - 111,435.00 USD annually - This range represents the anticipated base salary for this role. Actual compensation will be determined based on experience, qualifications, and internal equity considerations. Benefits - Comprehensive benefits package designed to support your health, financial well-being, and work-life balance - Medical, dental, and vision insurance - 401(k) plan with a company match - Paid time off and holidays - Professional development support - Employee wellness resources

Role Description Qualified Solutions Engineers act as the tip of the spear for our Go-to-Market (GTM) team. SEs are focused on delivering world-class product demonstrations, driving product development based on market feedback, and building scalable solutions for the entire GTM team. You’ll work closely with Account Executives, but you’ll also partner with Qualified Success Architects and Support to figure out where gaps are and how they may be filled by collaborative efforts. We’re looking for an A+ player that will help make the most of the incredible market opportunity that lies ahead. Your work will be critical for the success of our customers and our company. What You'll Be Doing: - Showcasing Qualified to prospective customers with world-class product demonstrations, including custom demos, discovery demos, and technical workshops (~15 per week). - Becoming a subject matter expert on Qualified’s capabilities, customer stories, and best practices. - Building a deep understanding of Salesforce architecture, marketing automation, data enrichment, and other high-leverage technologies. - Owning the technical discovery and qualification process for Qualified prospects and providing guidance on technical deal strategy. - Partnering with Account Executive teams to identify customer business goals, needs, and pains. - Providing technical responses to Security Questionnaires. - Writing technical blog content about Qualified capabilities. - Acting as the voice of the customer by translating, aggregating, and representing product feedback to the Product and Engineering teams. - Monitoring industry news on technology products, partners, and competitors to ensure you and your team provide deep ecosystem expertise. Qualifications - Bachelor's Degree. - 5+ years of relevant Solutions Engineering experience. - Experience in Salesforce CRM, marketing automation, and data enrichment. - Excellent communication skills and polished presenter. - Ability to relate complicated concepts to non-technical people while maintaining credibility with highly technical people. - Solution sales driven with a clear understanding of business value. - Proven experience providing pragmatic solutions to complex customer requirements that lead to winning deals. - Comfortable leading presentations and demos of our platform to large groups, both technical and non-technical. - Able to hear customer pains, identify root-cause analysis in real-time, and tie business problems to Qualified’s technical solutions with an understanding of technology value propositions. - Proven capacity to quickly absorb new concepts and technologies. - Perform well under uncertain, high pressure, and high impact conditions. - Bonus: Documented programming experience (frontend or backend programming languages; Apex is a plus). Benefits - Time off programs. - Medical, dental, and vision coverage. - Mental health support. - Paid parental leave. - Life and disability insurance. - 401(k) plan. - Employee stock purchasing program. Company Description Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Role Description We are looking for engineers with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. Honestly, it is a great environment! You will work with brilliant people with world class knowledge, and a passion for sharing knowledge and solving interesting and complex problems. You will collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. From predicting ETAs to solving pricing problems, our ML pipelines form the backbone of our delivery operations. Location: Remote Canada Reporting to: Technology Manager, Machine Learning - Proven academic/industry experience in Machine Learning or similar, developing technologies for forecast or logistics products. - Strong coding and software engineering skills in a mainstream programming language; Python preferred. - Able to work independently and solve complex problems, with a demonstrated ability to productize and deploy using cloud services (e.g., Amazon Web Services, Google Cloud Platform). - Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns. - Familiarity with ML tools and packages like TensorFlow, pyTorch etc. - Practical experience building and optimizing production quality machine learning applications making use of engineering best practices, automation and experimentation. - Understanding of machine learning algorithms and ability to apply them in data driven processing systems. - Ability to quickly prototype ideas/solutions, perform critical analysis, and use creative approaches for solving complex problems. - Ability to collaborate closely with multi-functional teams, driving forward best practices. - Clear oral and written communication. Requirements - Researching, implementing, and deploying innovative ML techniques applicable to logistics problems. - Scaling and transferring novel machine learning solutions to improve our decision making processes and solutions in their different product use cases. - Implementing and launching Data Science applications that coordinate with front facing solutions; constant improvements using performant and efficient ML models. - Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope. Benefits - Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. - Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. - Inclusion, Diversity & Belonging: No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. Company Description Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!