Position: Computer Vision Technical Leader
Company: Blackthorn
Category: Data Science
Experience required: 5y
Published: 2023-05-01T00:00:00+03:00

We seek a skilled Computer Vision Technical Leader with a solid background in imaging recognition (segmentation and classification). You will be responsible for the technical leadership of small machine learning (2-3 engineers) and data annotation (2-3 ppl.) teams in the Healthcare domain.

**Responsibilities**
- responsibility for the technological success of the project(s);
- development of the project roadmap, decomposing epics into technical tasks
- review developers' code;
- provide technical supervision for the team;
- control of technical execution of tasks by team members;
- implementation of technical tasks on the project (optional);
- immerse in the problem and the domain;
- read scientific papers and investigate new approaches, architectures, and state-of-the-art solutions that can bring project success;
- understand clients' objectives; decompose business goals into tasks for the team members;

**Required Skills**
- M.S. or Ph.D. (preferably) in Statistics, Math, or Data Science. Proficiency in mathematics, probability, and statistics.
- 5+ years of experience in Computer Vision. Mastership in Computer Vision is a must for this position.
- Excellent technical skills (PyTorch, MLflow, Azure or GCP, Docker, SQL, ).
- Segmentation and Classification guru.

**Desired Skills**
- 5-10 ppl team leadership experience.
- kaggle Expert, Master, or Grandmaster.
- Experience in MLOps, delivered at least one full-cycle ML product.
- familiar with general software architecture patterns (Layered, Microservices, Event-Driven Architecture, etc.).
- understanding of the frontend, backend, and data layer works.

**Personality**
- Attentive to details
- Results-driven
- Responsible
- Proactive

**Salary**
- Hourly-based or monthly-based

**Other Details**
- Remote or office in Lviv/Germany
- Flexible schedule
- Full-time or part-time (10-15 hours per week)