Java and Machine Learning Developer - Pune, India

  • Full Time
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Innovation is, and always will be, the heart of SAP Fioneer. Our inception was due to our promise for agility, innovation, and delivery. SAP Fioneer prides itself on its rich history of exceptional technology and an in-depth understanding of both corporate and consumer needs. At the centre of our operations, we strive to elevate financial services through innovative software solutions and platforms. We assist companies in the financial services sector to achieve speed, scalability, and cost-efficiency through digital business innovation, cloud technology, and comprehensive solutions for banking and insurance processes. As a global company characterized by swift growth, inventive workforce, and an efficient organisation, SAP Fioneer serves as a fantastic platform for accelerating your future! Requirements Product technology stack needed: - Languages – Java, Python, - Frameworks - TensorFlow or PyTorch, Spring MVC, Spring Boot - Storage and databases – PostgreSQL, HANA Expectations and Tasks: As a Java and Machine Learning Developer, you'll belong to our cross-functional team in Pune. As part of this role, you'll contribute to Customer Co-innovation projects - encompassing design, development, and integration into the customer landscape. You'll also develop and implement generative models and algorithms that employ the latest technologies. The role requires proficiency in machine learning, neural networks, and AI techniques. Responsibilities include: - Research, design, and implement advanced generative models and algorithms. - Collaborate with software engineers to integrate generative models into software components. - Conduct thorough testing and validation of generative models. - Collaborate with cross-functional teams, including data scientists, product managers, and development teams. - Keep abreast with the latest advancements in AI and machine learning. - Work harmoniously with geographically diverse teams. Education and qualifications / Skills and competencies required: - Bachelor’s Degree/Master’s Degree in Computer Science, Information Technology, or similar. - Strong communication skills. - Ability to create new prototypes / PoCs in collaboration with customers by adapting to new technologies and requirements. - Excellent analytical abilities and presentation skills. Work experience needed: - 4-6 years of experience as a Machine Learning Engineer, particularly focusing on Generative AI models and Neural Networks. - Advanced programming skills with Python and Java. - Extensive experience with Deep Learning frameworks such as TensorFlow or PyTorch. - Knowledge of Machine Learning algorithms such as Decision trees, Random forests, and Clustering algorithms. - Familiarity with cloud computing platforms such as AWS or Azure. - Understanding of Spring Framework, Spring Boot. - Previous experience in the banking sector would be beneficial. - Experience in working with geographically separated teams. Benefits: You’ll have the opportunity to join some of the brilliant minds in the industry on an ambitious project aiming to transform the ever-evolving financial sector. Here, you can experience the best of both worlds – the vitality and dynamism of a start-up, coupled with the established expertise, strong market presence and vast customer network of an organized establishment. At SAP Fioneer, we promote a flexible working environment that fosters creativity, encouraging you to be original, suggest new ideas, and challenge the status quo. Our diverse and global team is something we genuinely take pride in; we continually grow and innovate. You’ll have the chance to develop your own career pathway and benefit from competitive compensation packages and promotion opportunities based on your merit. Our benefits package includes pension plans and life insurance to ensure financial security. We offer private medical insurance, wellness cover, and an employee assistance program as part of our health and wellness benefits. Our mobility benefits, which vary depending on seniority, include company car benefits and transport assistance. In addition, we provide celebration rewards, a jubilee program, and a meal scheme.