Sr Principal Engineer - Data Science at Bloom Energy

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Jul, 26

Salary

0.0

Posted On

03 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Data Infrastructure, Algorithm Development, Model Building, Cloud Computing, AWS, Analytical Skills, Problem Solving, Strategic Planning, Technical Design, Cross-functional Collaboration, Business Analysis, Technical Consulting

Industry

Fuel Cell Manufacturing

Description

Job Description: Bloom Energy is looking for dynamic leader to join our Computation & Data Science team. This exciting position will allow the person to enable AI/ ML strategies for a growing fleet of Bloom Energy systems. We seek enthusiastic contributors with strong analytical and problem solving skills, and background in data science. Location: This position will be based in Bangalore or Mumbai, India Role and Responsibilities: Interact with stake owners for various functions across the organization and understand the business problems. Technical Focus : Code development & maintenance (70%), Architecture & technical design (20%), Strategic planning & technical vision (10%) Evaluate the business problem at hand and propose the AI/ ML based solution. Work with the various internal teams to design the detailed solution and guide the development of necessary data infrastructure. Work with a team of data scientists to execute on the proposed solution Role Details: - This is an individual contributor role, where you'll leverage your expertise to drive AI/ML initiatives and deliver results as a subject matter expert. Skills and Experience: Candidate must have 15+ years of background in Analytics, Data Science & Machine learning This will be a individual contributor role Experience as a Business Analyst/ Technical Consultant in the domain of Data Science Solutions is a plus. Must have hands on experience developing, validating and implementing ML models. Well versed with Python for data handling, algorithm development and model building. Familiarity with Cloud based environments. (Preferred – AWS). Comfortable working with cross functional teams and matrix organization. Post- Graduate Education or Ph.D. in: Computer Science, Mathematics, Electrical Engineering, Mechanical Engineering, Operations Research, Systems or Chemical Engineering. About Bloom Energy: Bloom Energy will make clean, reliable energy affordable for everyone in the world. Our technology, first developed for NASA's Mars Program, will dramatically change the way that the world’s energy is produced, distributed and consumed. Bloom’s unique on-site power generation systems are among the most efficient on the planet, providing significantly reduced operating costs and producing dramatically lower greenhouse gas emissions. Pioneering a new class of stationary fuel cells, Bloom is not just creating a new product or company; it is driving a whole new industry. As one of Silicon Valley’s most promising startups, Bloom was the first clean energy technology investment for Kleiner Perkins and NEA, two of Silicon Valley’s most revered venture capital firms. The company has assembled a super-star board, experienced management team, and top-notch technical staff. Bloom Energy is growing quickly and is looking to add to its dynamic team. Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result. We are aware there are instances where individuals are receiving job offers that fraudulently allege to be from Bloom Energy or one of our business units. This type of fraud can be carried out through false websites, or through fake e-mails claiming to be from the company or social media. We never ask for personal information such as your bank account, Social Security numbers or National ID’s, via social media or chat-based applications, nor do we send or request payments for the purchase of business related equipment. If you suspect fraud, please report it to your local authorities immediately. Bloom Energy's mission is to make clean, reliable energy affordable for everyone in the world. With roots in NASA’s Mars Program, the company’s founder, chairman, and Chief Executive Officer, Dr. K.R. Sridhar, developed an innovative fuel cell technology that is shifting the energy paradigm and redefining the electric power market. The Bloom Energy Server is a distributed electric power solution built for the digital age and capable of delivering highly reliable, uninterrupted, 24x7 constant power that is also clean and sustainable. Bloom’s unique on-site power generation systems are among the most efficient on the planet, providing significantly reduced operating costs and producing dramatically lower greenhouse gas emissions. By generating power where it is consumed, Bloom Energy offers increased electrical reliability and improved energy security, providing a clear path to energy independence. Some of the largest companies in the world trust Bloom Energy to provide their businesses with clean, reliable and resilient energy. Bloom’s customers include many Fortune 100 companies and leaders in manufacturing, data centers, healthcare, retail, higher education, utilities, and other industries. The company, headquartered in San Jose, California, is growing quickly and looking to add to its dynamic team. Stay up to date with Bloom Energy through our social channels.

Responsibilities

The role involves interacting with stakeholders to identify business problems and designing AI/ML solutions to address them. You will lead the development of data infrastructure and guide a team of data scientists to execute technical initiatives.