Senior ML Architect & Domain Lead PDQO (Procurement, Deliver, Quality, Operations)

As a Senior ML Architect at Siemens, you will have the opportunity to break new ground by: - Designing and implementing scalable cloud-based machine learning solutions specifically for the PDQO domains - Providing technical and project leadership to team members - Composing, developing, and implementing end-to-end machine learning pipelines for various use cases - Sharing a point of view in ML engineering procedures, including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches - Leading ML projects from conception to deployment, translating business requirements into scalable technical solutions - Mentoring junior team members and contributing to the overall skill development within the team - Working closely with an international team to integrate AI solutions into existing systems and workflows - Clearly articulating technical concepts and business-specific ML solutions to non-technical participants You are excited to build on your existing expertise, including: - A bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field with 5+ years of experience - Proven experience and a strong understanding of at least one of the business domains PDQO - Strong proficiency in programming languages such as Python - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) - Expertise in cloud platforms (AWS, Azure, GCP) and their ML/AI services - Familiarity with large language models and natural language processing - Experience with API/MCP design and integration patterns - Knowledge of security procedures for ML systems and data protection, big data technologies - Knowledge of software development protocols, including version control and collaborative coding Join Siemens in Bangalore and be part of a team impacting entire cities, countries, and the future. Siemens values diversity and is committed to providing equitable opportunities. Bring your authentic self and help shape a better tomorrow with Siemens. To learn more about Siemens careers, visit www.siemens.com/careers. Explore the digital world of Siemens at www.siemens.com/careers/digitalminds. As a Senior ML Architect at Siemens, you will have the opportunity to break new ground by: - Designing and implementing scalable cloud-based machine learning solutions specifically for the PDQO domains - Providing technical and project leadership to team members - Composing, developing, and implementing end-to-end machine learning pipelines for various use cases - Sharing a point of view in ML engineering procedures, including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches - Leading ML projects from conception to deployment, translating business requirements into scalable technical solutions - Mentoring junior team members and contributing to the overall skill development within the team - Working closely with an international team to integrate AI solutions into existing systems and workflows - Clearly articulating technical concepts and business-specific ML solutions to non-technical participants You are excited to build on your existing expertise, including: - A bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field with 5+ years of experience - Proven experience and a strong understanding of at least one of the business domains PDQO - Strong proficiency in programming languages such as Python - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) - Expertise in cloud platforms (AWS, Azure, GCP) and their ML/AI services - Familiarity with large language models and natural language processing - Experience with API/MCP design and integration patterns - Knowledge of security procedures for ML systems and data protection, big data technologies - Knowledge of software development protocols, including version control and collaborative coding Join Siemens in Bangalore and be part of a team impacting entire cities, countries, and the future. Siemens values diversity and is committed to providing equitable opportunities. Bring your authentic self and help shape a better tomorrow with Siemens. To learn more about Siemens careers, visit www.siemens.com/careers. Explore the digital world of Siemens at www.siemens.com/careers/digitalminds.