Добавено на 2 months ago

Machine Learning Team Lead

Населено мястоSofia grad, Sofia, Bulgaria PP Adecco



КатегорияIT and Telecommunications

Machine Learning Team Lead

Machine Learning Engineering Manager (Team Lead)
Our client develops and delivers intelligent solutions to automate manual document processing for global financial services, insurance, healthcare, and government organizations. Founded in 2014, their solution extracts handwritten, cursive and printed typed text at better-than-human levels of accuracy and automation that get better over time. By streamlining operations and reducing the costs associated with data entry, they enable some of the world’s largest companies to improve customer service and drive new business opportunities. 
With more than $50 million raised to date, they are growing quickly and looking for individuals to join their team and make a difference in their organization and for their customers. 
They are focused on understanding document images and extracting structured data. This naturally leads them to solve a number of problems in machine perception and natural language understanding. ML is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. This is an opportunity to lead a team and work on the full lifecycle of an ML solution - you will research cutting edge techniques and coach other ML engineers to implement research in a fast-growth AI startup environment.
- Manage and guide a small team of Machine Learning engineers helping to set priorities and tasks
- Plan and manage multiple projects to ensure successful delivery
- Wrapping ML modules in reusable application components, which can be integrated in different configurations depending on the specific customer’s needs
- Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension
- Designing easy-to-use programmer interfaces and tools that will be leveraged by other developers, including APIs for our clients' developers
- Creatively solving problems even when the initial answer is unclear
- Actively participate in research, experimentation and development when needed
- Actively participate in discussions and giving ideas/guidance
- Helping improve our code quality by writing unit tests and performing thorough code reviews
- Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company

- Advanced understanding of math and computer science
- Strong analytical skills
- Track record of successfully coaching and mentoring machine learning engineers
- Ability to collaborate effectively with product managers on machine learning product roadmaps and long term planning
- Knowledge of modern machine learning/deep learning technologies (experience applying ML to real-world enterprise solutions is required)
- Experience in Natural Language Processing is a plus
- Able to perform applied research projects and bring them to production
- Experience building high-quality production models in Python is required
- Team player with strong communication skills
- Proficiency in written and spoken English language

Benefits & Perks
- You’ll work with some of the best machine learning, software and test engineers in one of the most innovative tech companies in Sofia
- Budget to attend conferences, train, and further your education
- 30 days of paid leave annually to help nurture work-life symbiosis
- A great office, with excellent location
- Massages at the office by a professional massage therapist
- Auto assistant for your car
- Catered lunches, afternoon breakfasts, and a great variety of snacks and drinks
- A sports card, covering various options for sport
- Additional health insurance package, including extensive medical, dental & vision care
- Truly competitive salary
- Stock options
- Referral bonus

If you recognize yourself in the description above, send us your CV today! Only short-listed candidates will be contacted. All applications will be treated in strict confidentiality. Recruitment license from National Agency of Employment #1814 from 08.12.2014.