Nagarro
Principal Machine Learning Engineer - AI & ML Solutions (m/f/d)
Nagarro, Germantown, Ohio, United States
Overview
Principal Machine Learning Engineer - AI & ML Solutions (m/f/d). Responsibilities
Act as a trusted partner to our clients, advising them on data-driven, AI/ML-enabled solutions that drive their success. Participate in pre-sales activities, including requirements definition, solution design, and the creation of implementation roadmaps. Translate business objectives into technical requirements and effectively communicate analytical solutions to both technical and non-technical, management-level audiences. Design, develop, and fine-tune a wide range of algorithms, from classical machine learning (e.g., predictive modeling, time-series forecasting) to advanced Generative AI applications (e.g., LLM-based agents, information extraction, code generation). Lead the integration of AI/ML models into end-user applications, collaborating with global development, product, and QA teams to deliver measurable business value and a compelling user experience. Architect and implement end-to-end MLOps pipelines for robust and scalable model deployment on cloud platforms. Champion software engineering and MLOps best practices, including CI/CD, containerization, Infrastructure as Code, prompt engineering, model monitoring, and automated workflows. Implement strategies for continuous model monitoring to address drift and bias, ensuring long-term accuracy and reliability. Actively contribute to the growth of our AI & Data Science Practice in Central Europe by participating in hiring and mentoring activities. Provide technical leadership and organize the work for project teams, fostering an environment of innovation and excellence. Qualifications
A Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field; or equivalent professional experience. 8+ years of professional experience in data science and/or AI/ML engineering, with a proven track record of delivering projects with measurable business impact. Significant hands-on experience designing and implementing scalable, end-to-end machine learning solutions, from data processing to production deployment. Deep expertise in designing and implementing Data Science solutions. Experience with modern Cloud Data Intelligence Platforms, such as Databricks or Snowflake. Familiarity with extracting data from SAP systems for analytical use cases (e.g., using SAP Datasphere or ODP). Experience working in a client-facing or consulting role. A curious, innovative mindset with a willingness to travel for client engagements. Business fluency in both German and English is essential for client communication. Additional Information / Benefits
30 days of paid vacation, internal and external training opportunities, MyN – Nagarro Employee Share Program, attractive company car and company bicycle arrangements, company-funded accident insurance policy, modern office space at central locations with high-tech equipment, sports programs, access to the corporate benefits portal, free fruit and drinks. Plenty of room for innovation in a high-growth environment with the latest technologies and products. With us, you can get involved and make a difference. Flat hierarchies and a long-term, stable job with attractive development opportunities.
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Principal Machine Learning Engineer - AI & ML Solutions (m/f/d). Responsibilities
Act as a trusted partner to our clients, advising them on data-driven, AI/ML-enabled solutions that drive their success. Participate in pre-sales activities, including requirements definition, solution design, and the creation of implementation roadmaps. Translate business objectives into technical requirements and effectively communicate analytical solutions to both technical and non-technical, management-level audiences. Design, develop, and fine-tune a wide range of algorithms, from classical machine learning (e.g., predictive modeling, time-series forecasting) to advanced Generative AI applications (e.g., LLM-based agents, information extraction, code generation). Lead the integration of AI/ML models into end-user applications, collaborating with global development, product, and QA teams to deliver measurable business value and a compelling user experience. Architect and implement end-to-end MLOps pipelines for robust and scalable model deployment on cloud platforms. Champion software engineering and MLOps best practices, including CI/CD, containerization, Infrastructure as Code, prompt engineering, model monitoring, and automated workflows. Implement strategies for continuous model monitoring to address drift and bias, ensuring long-term accuracy and reliability. Actively contribute to the growth of our AI & Data Science Practice in Central Europe by participating in hiring and mentoring activities. Provide technical leadership and organize the work for project teams, fostering an environment of innovation and excellence. Qualifications
A Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field; or equivalent professional experience. 8+ years of professional experience in data science and/or AI/ML engineering, with a proven track record of delivering projects with measurable business impact. Significant hands-on experience designing and implementing scalable, end-to-end machine learning solutions, from data processing to production deployment. Deep expertise in designing and implementing Data Science solutions. Experience with modern Cloud Data Intelligence Platforms, such as Databricks or Snowflake. Familiarity with extracting data from SAP systems for analytical use cases (e.g., using SAP Datasphere or ODP). Experience working in a client-facing or consulting role. A curious, innovative mindset with a willingness to travel for client engagements. Business fluency in both German and English is essential for client communication. Additional Information / Benefits
30 days of paid vacation, internal and external training opportunities, MyN – Nagarro Employee Share Program, attractive company car and company bicycle arrangements, company-funded accident insurance policy, modern office space at central locations with high-tech equipment, sports programs, access to the corporate benefits portal, free fruit and drinks. Plenty of room for innovation in a high-growth environment with the latest technologies and products. With us, you can get involved and make a difference. Flat hierarchies and a long-term, stable job with attractive development opportunities.
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