AI/ML Architect- Internal Functions

Does Architecting & Building scalable AI Solutions for solving complex business problems excite you? Are you interested in bringing and integrating AI to Big Data, mainstream business processes and various IT applications? We are looking for a passionate ML /AI Architect with proven ability to build scalable Solutions in order to drive business results leveraging AI, Machine Learning and Deep Learning techniques. You will have the opportunity to work with a wide range of IT and Data landscape, stakeholders and functional teams to help them implement Cognitive Automation Solutions. AI ethics, fairness and secure development practices are also our focus areas. Responsibilities Architect and develop machine learning and statistical models for business requirements Partners with Busines SMEs, IT Partners and Data Scientists in building scalable AI Solutions Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem Build frameworks leveraging APIs to industrialize AI models across the organization Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models Build frameworks leveraging APIs to industrialize AI models across the organization Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) You should have bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field You should have 5-10 years of experience in solving real life complex business problems using machine learning. Having experience in taking at least few machine learning solutions to production is required. In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models Building AI Products is a plus Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc. Understanding of Big Data Concepts and components is a plus Fluency in programming skills such as Python, R, or other equivalent languages Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus Strong analytical and critical thinking skills Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners Why us? Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive. €25.7bn global revenue 137 000+ employees in 100+ countries 45% of revenue from IoT 5% of revenue devoted for R&D You must submit an online application to be considered for any position with us. This position will be posted until filled It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such.