Hello Visionary We empower our people to stay resilient and relevant in a constantly evolving world We re looking for people who are always searching for creative ways to grow and learn People who want to make a real impact now and in the future Does that sound like you Then it seems like you d make a outstanding addition to our vibrant team Siemens founded the new business unit Siemens Foundational Technologies formerly known as Siemens IoT Services on April 1 2019 with its headquarter in Munich Germany It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey Siemens Foundational Technologies is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices Highly skilled and experienced specialists offer services which range from consulting to craft prototyping to solution implementation and operation - everything out of one hand We are looking for a AI ML Engineer You ll make a difference by We are seeking a highly skilled and motivated AI ML Engineer having experience in the field of artificial intelligence and machine learning The ideal candidate should have expertise in developing and implementing AI ML algorithms a strong background in computer vision hands-on experience with open-source Generative AI models and a solid foundation in mathematical and statistical principles As part of our dynamic AI team you will work on designing building and optimizing AI systems with a focus on innovative solutions Key Responsibilities Developing and implementing AI-based solutions to enhance the efficiency effectiveness and speed of our R D processes Continuously monitoring and evaluating implemented AI solutions to ensure their performance and continuous improvement Promoting knowledge exchange and competency development in the field of AI within the company Develop POC s to solve real-world problems in various domains such as text summarization chatbots language translation image generation data augmentation and content synthesis preferably with locally hosted models open-source tools and frameworks AI Model Optimization Focus on optimizing AI models for performance efficiency and scalability ensuring that they run effectively in offline environments without the need for cloud-based solutions Computer Vision Applications Work on AI-driven computer vision projects including but not limited to image classification object detection segmentation and image enhancement Implement innovative computer vision algorithms for solving practical problems AI ML Algorithms Leverage machine learning ML techniques to improve and fine-tune generative AI models and computer vision systems Familiarity with both supervised and unsupervised learning techniques is essential Research and Development Stay up to date with the latest advancements in Generative AI Computer Vision and related fields Experiment with new techniques and frameworks to continually improve the quality and capabilities of our solutions Collaboration Work closely with data scientists software engineers and product teams to deliver high-quality AI-based products Contribute to the team s technical discussions and knowledge sharing Model Deployment Maintenance Work on deploying and maintaining AI models ensuring reliability and performance Set up and manage model training and inference pipelines Qualifications Education bachelor s or master s degree in computer science mathematics or a comparable field with a focus on artificial intelligence Experience Minimum of 3 to 4 years of hands-on experience in AI ML development or data science with a strong focus on Generative AI and Computer Vision Experience working with open-source locally hosted models is highly preferred Technical Skills Proficiency in deep learning frameworks such as TensorFlow PyTorch or openVINO Experience with GenAI or Large Language Models or NLP for training fine-tuning and evaluating LLMs Experience in computer vision algorithms and frameworks e g OpenCV Detectron2 YOLO Strong knowledge of machine learning algorithms supervised unsupervised reinforcement learning Familiarity with deploying AI models in offline environments and working with locally hosted models Strong mathematical statistical skills and the ability to clearly understand define and communicate complex concepts in this area Programming Skills Advanced proficiency in Python and relevant AI ML libraries NumPy SciPy scikit-learn Familiarity with version control tools e g Git Experience with C along with Docker Kubernetes or other containerization technologies is a plus Problem Solving Strong analytical and problem-solving skills with the ability to tackle complex and unstructured problems in AI and computer vision Communication Skills Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders Nice-to-Have Familiarity with AI hardware accelerators e g GPUs TPUs and distributed computing Knowledge of AI ethics and privacy considerations especially in the context of offline AI Desired Skills 2-5 years of experience is required Great Communication skills Analytical and problem-solving skills Join us and be yourself We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society Come bring your authentic self and create a better tomorrow with us Make your mark in our exciting world at Siemens This role is based in Pune and is an Individual contributor role You might be required to visit other locations within India and outside In return you ll get the chance to work with teams impacting - and the shape of things to come We re Siemens A collection of over 379 000 minds building the future one day at a time in over 200 countries We re dedicated to equality and we welcome applications that reflect the diversity of the communities we work in All employment decisions at Siemens are based on qualifications merit and business need Bring your curiosity and imagination and help us shape tomorrow Find out more about Siemens careers at www siemens com careers more about mobility at https new siemens com global en products mobility html