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HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Position Description:We are looking for a Lead Data Engineer/Software Engineer focused on delivering production implementations of Data Science solutions on the Google Cloud Platform. The position will collaborate directly and continuously with business partners and product managers to release early and often. The team you will be working on is focused on implementing AI/ML solutions to democratize Machine Learning across our enterprise (like Uber’s Michelangelo, Facebook’s FBLearner, etc).Position Responsibilities:- Rapidly deliver Machine Learning solutions.
- Lead software engineers in implementing solutions in the Public Cloud (Google Cloud Platform, Amazon Web Services, Microsoft Azure).
- Guide architects and Business stakeholders in making technical decisions on tools, integration, and other issues.
- Work closely with the Product Manager and Product Owner to translate Business Value needs (the WHAT) into User Stories (the HOW) for delivery.
- Mentor and train other Software Engineers to help them learn agile methods and build technical skills.
- Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision-makers, and taking on justified technical debt.
- Lead by example in the use of Paired Programming, Test-Driven Development, and DevOps for cross-training/upskilling, problem-solving, and speed to delivery.
- Deploying Machine Learning solutions on Public Cloud Technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform).
- Ability to pair with software engineers, understand and rapidly learn technical acumen in AI/ML space, gather requirements, understand the customer, and come up with solutions.
- Experience and a good understanding of Machine Learning / Deep Learning Models / Python / ML Model Deployment / ML Model Management for production environments.
- 2+ years developing solutions on Public Cloud Technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform).
- 2+ years of experience leading Software Engineers and/or Machine Learning Engineers.
- 2+ years of experience with Machine Learning Technologies.
- A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.