AI ML Developer

Job Description As an AI/ML Engineer at Siemens Energy, your role involves leading the design and delivery of sophisticated Generative AI solutions on Cloud Based platforms to drive the energy transformation and strategic goals of the company. **Role Overview:** You will be responsible for writing code, testing, and deploying advanced AI applications, building machine learning models, creating programming interfaces, and ensuring their accessibility to existing software. **Key Responsibilities:** - Partner with developers in Agile teams to merge LLMs and classical AI into end-user apps, focusing on user experience and real-time performance. - Customize LLMs by tailoring pre-trained models to meet business needs using timely engineering, transfer learning, and few-shot methods. - Ensure data hygiene by collecting, cleaning, and preprocessing large datasets for high-quality input for AI models. - Validate and report on the performance of AI models using appropriate metrics, document AI models, algorithms, and processes, and communicate findings to stakeholders. - Integrate external knowledge sources such as databases, APIs, and document repositories to enrich LLM with real-time or domain-specific information. - Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services. **Qualifications Required:** - Bachelors degree in computer science, Engineering, or a related field. - 2-4 years of experience in software development with AI-based applications. - 2+ years of hands-on experience with Python and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. - Proficiency in AWS and/or Azure Cloud platforms and integrating hosted ML Models to existing solutions. - Ability to integrate LLM and statistical ML models to interfaces using FAST APIs. - Proficiency with Deep learning frameworks such as Keras or TensorFlow. - Expertise in working with structured and unstructured data, data cleaning, feature engineering, and data stores like vector, relational, NoSQL databases, and data lakes through APIs. - Familiarity with CI/CD pipelines, Version control using Git, VSCode IDE. **About Siemens Energy:** Siemens Energy is a global energy technology company focused on developing the energy systems of the future to meet the growing energy demand sustainably. With a distributed team committed to decarbonization and energy transformation, Siemens Energy drives innovation and pushes the boundaries of what is possible. Siemens Energy celebrates diversity and inclusion, recognizing the power generated through over 130 nationalities working together. The company's commitment to diversity ensures that all employees are valued for their unique contributions. If you are looking to be part of a forward-thinking team dedicated to harnessing the transformative power of AI within the energy sector, Siemens Energy provides an opportunity to make a difference and contribute to sustainable energy solutions. As an AI/ML Engineer at Siemens Energy, your role involves leading the design and delivery of sophisticated Generative AI solutions on Cloud Based platforms to drive the energy transformation and strategic goals of the company. **Role Overview:** You will be responsible for writing code, testing, and deploying advanced AI applications, building machine learning models, creating programming interfaces, and ensuring their accessibility to existing software. **Key Responsibilities:** - Partner with developers in Agile teams to merge LLMs and classical AI into end-user apps, focusing on user experience and real-time performance. - Customize LLMs by tailoring pre-trained models to meet business needs using timely engineering, transfer learning, and few-shot methods. - Ensure data hygiene by collecting, cleaning, and preprocessing large datasets for high-quality input for AI models. - Validate and report on the performance of AI models using appropriate metrics, document AI models, algorithms, and processes, and communicate findings to stakeholders. - Integrate external knowledge sources such as databases, APIs, and document repositories to enrich LLM with real-time or domain-specific information. - Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services. **Qualifications Required:** - Bachelors degree in computer science, Engineering, or a related field. - 2-4 years of experience in software development with AI-based applications. - 2+ years of hands-on experience with Python and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. - Proficiency in AWS and/or Azure Cloud platforms and integrating hosted ML Models to existing solutions. - Ability to integrate LLM and statistical ML models to interfaces using FAST APIs. - Proficiency with Deep learning frameworks such as Keras or TensorFlow. - Expertise in working with structured and unstructured data, data cleaning,