Position: Senior Computer Vision Engineer (ML/DL)
Company: Binariks
Experience required: 5y
English level: upper

Binariks is looking for a highly motivated and skilled Senior Computer Vision Engineer for our new client - a UK healthcare company. Our client's company leads the digital transformation of surgery. First-of-its-kind healthcare platform brings together telepresence, content management, and data insights to enable hospitals, surgeons, and device companies to share information and expertise.

**Responsibilities:**
- Use state-of-the-art computer vision and deep learning techniques to identify key tissues, anatomy, surgical activities, or other insights from videos of live surgery
- Design, build, and deploy machine learning models that draw on video, text, audio, and other medical data sources to offer personalized insights for health care and surgery
- Perform work on multiple development projects covering the range of the company’s technology and product areas
- Collaborate with the team to integrate the model, and algorithms and deploy them to production.
- Leverage industry knowledge and stay close to technology developments

**Requirements:**
- At least 4 years of professional experience in Data Science
- Solid understanding of machine learning and deep learning fundamentals
- Experience writing production-grade, modular, testable Python code (3+ years)
- Experience with scientific and machine learning Python libraries (numpy, TensorFlow, Keras, PyTorch, OpenCV)
- Experience building ML solutions with multimedia data (images, audio, video, natural language)
- Experience deploying machine learning models into production or integrating them into other systems
- Experience with AWS
- At least an Upper-Intermediate level of English

**Would be a plus:**
- Healthcare domain experience
- Experience with large language models (LLMs)
- Experience in MLOps
- Experience with cloud-based ML services

**We provide the following for our employees:**
- 18 working days of paid vacation
- 10 working days of sick leave annually (5 days paid at 100% and 5 days at 75% rate of your average monthly salary)
- Medical insurance
- 50% cost compensation for English courses at the office
- Flexible work schedule
- Additional days off for special occasions, national holidays off
- A competitive and rewarding salary based on performance appraisals/knowledge evaluation
- Possibility to share and gain knowledge on regular tech talks
- Friendly and professional team
- Innovative projects with advanced technologies
- Corporate events
- Remote work
- Accounting service