Job Family: Research & Development

　　Req ID: 401725

　　Lead AI ML Engineer: ML Ops

　　Siemens founded the new business unit Siemens Advanta (formerly known as Siemens IoT Services) on April 1, 2019, with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Advanta is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and experienced specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation – everything out of one hand!

　　As the Lead Artificial Intelligence & Machine Learning Engineer at Siemens Advanta, you will play a pivotal role in driving data-driven decision-making and leading the development and implementation of advanced analytical models. You will work closely with cross-functional teams to identify business challenges, design data-driven solutions, and provide actionable insights to optimize processes and drive innovation.

　　This is your role. What part will you play?

　　Must be an expert on ML Ops and deployed Artificial Intelligence and Machine learning based solutions for multiple applications.

　　Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise.

　　Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives.

　　Design, develop, and implement advanced machine learning and statistical models to solve complex business problems.

　　Must possess sufficient knowledge of various facets concerning AI like, computer vision & image analysis, classification, segmentation, feature extraction, pattern recognition, data mining, inferencing, neural networks, statistics etc.,

　　Should have hands-on experience in Forecasting using traditional ML and Deep Networks

　　Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms.

　　Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations.

　　Should understand CI/CD processes in product deployment and used it in delivery.

　　Working knowledge on agile practices in software development processes.

　　Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes.

　　We don’t need superheroes, just super minds.

　　8+ years of experience in Artificial Intelligence domain with a proven track record of developing and implementing various ML based solutions.

　　A master’s or Ph.D. degree in Data Science, Computer Science, Statistics or a related field

　　Strong programming skills in languages such as Python, R, or C++.

　　Hands on experience in Sklearn, Statmodels, Pandas, Numpy, Scipy, SQL, HQL, Hadoop, Spark, Hive, Tableau, PowerBI, AWS, Azure OR similar technology stacks

　　Exposure to the industrial engineering domain is preferred.

　　Proficient in the use of computer vision tools

　　Proactive and willing to learn new technologies.

　　We’ve got quite a lot to offer. How about you?

　　This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come.

　　We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality.

　　Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds