Siemens AI/ML Engineer 

India, Maharashtra, Pune 

380523156

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.

• 2-5 years of experience is required.
• Great Communication skills.
• Analytical and problem-solving skills

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.