Position: Lead ML/Data Scientist (Computer Vision and Face Key-point Recognition)
Company: ANDROMEDA
Experience required: 5y
English level: upper

We are looking for a talented Machine Learning Engineer / Data Scientist with a business mindset and strong problem-solving skills to join our team. The ideal candidate will have experience in developing and deploying Machine Learning models for Computer Vision and Face Key-point Recognition applications.

Responsibilities:
- Develop and deploy Machine Learning models for object detection, image segmentation, face detection, face recognition, and emotion detection using various Machine Learning methods
- Work with stakeholders to identify business problems and propose suitable Machine Learning solutions
- Build scalable and reliable Machine Learning pipelines on cloud platforms, such as AWS or GCP
- Work on presales activities and customer consulting to understand their needs and propose suitable solutions
- Design, implement, and support the automated and synchronized activity reporting
- Build processes for the provision of services and ensure the quality of the deliverables
- Develop DS/ML expertise and community within the company
- Develop and deploy models for classification, regression, clustering, and anomaly detection
- Stay up-to-date with the latest advancements in Machine Learning and Computer Vision and Face Key-point Recognition technologies and incorporate them into the team's workflow
- Collaborate with other teams to ensure smooth integration of Machine Learning models into the overall system

Requirements:
- 5+ years of experience in Machine Learning Engineering, Data Science, or related fields
- Strong problem-solving skills and ability to work independently or in a team
- Experience with Machine Learning frameworks
- Experience with cloud platforms, such as AWS or GCP, and their Machine Learning services
- Experience with AWS services, such as SageMaker, EC2, S3, etc.
- Proficient in Machine Learning methods with a focus on computer vision and face recognition
- Excellent written and verbal communication skills
- Familiarity with image processing libraries, such as OpenCV or PIL


If you are a passionate and experienced Machine Learning professional with a focus on computer vision and face recognition, please apply now to join our team and work on exciting projects that will make a real impact!