AI and ML Innovation Expert

Key Skills

Aartificial intelligence, Azure, Computer Vision (CV), Data Analytics, Data science techniques, Deep Learning, Docker, Google Cloud Platform (GCP), Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

Drive one of the vision pillars of Digital Manufacturing called Data-Driven Manufacturing. Enhancing existing and adding new features to our products and services by integrating AI/ML-based solutions. AI/ML consulting for USbased product teams. Work with US-based Subject Matter Experts, Industry Portfolio Leads, Professional Services Experts, and Product Managers to define and scope AI/ML-based project requirements. Work with US-based development teams to implement data extraction, transformation, loading, and pre-processing pipelines. Train and evaluate machine-learning models using classic and deep learning algorithms and techniques. Work with USbased development teams to define and build API (Application Programming Interface) to integrate AI/ML models with existing applications. Work with USbased development, analytics, and customer success teams to measure and monitor the performance of ML models in the production environment. Work with the company-wide AI team distributed across the US and Europe to research, define and contribute best practices in AI/ML and support crosssegment and division-level analysis and proposals. Track technology trends and assess the impact on products by attending various developer and data science conferences/meetups in USA/EU. Work with US-based startups to understand what value they can bring in the domain of AI, Machine Learning, and Data Science. Support innovation and life-long learning by fostering company-wide learning and education campaigns through tech talks, boot camps, interest groups, hackathons/ideations.

Requirements : Employer will accept a Bachelor's degree, or its foreign equivalent, in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, or in a related field, and 84 months of experience in the job offered or in a related occupation. Position requires experience in the following: Data Science and Data Engineering; Machine Learning and Deep Learning; Natural Language Processing and Computer Vision; Python; Data Analytics and Data Visualization; Working with Sklearn, TensorFlow, Amazon Web Services, Google Cloud, Azure, PyTorch, MLOPs, Docker, and Linux; Product Lifecycle Management; Digital Manufacturing domain knowledge.90% telecommuting is permitted.

Referral Program: Incentives offered through the Company’s Employee Referral Program are applicable to this position.

CONTACT : Click on Apply button in this posting

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.