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About us

Akvelon Inc. (USA) works in the field of software engineering based on a variety of technologies. Our company is a member of the vendor program, which gives employees the opportunity to work with clients in the United States and other countries ( Microsoft, Facebook, Airbnb, Dropbox, Pinterest, and many others). This is a great opportunity to learn from and work with leading engineers of world-renowned companies.

About project

We seek a highly skilled and motivated Senior Data Scientist to join our team. This role is critical in developing and implementing machine learning models and algorithms that enhance our AI-driven medical imaging platform. You will work closely with cross-functional teams, including software engineering, product management, and clinical experts, to develop innovative solutions that transform 2D X-ray images into 3D, ultimately impacting patient care.

Responsibilities

• Data Analysis :
• Analyze large datasets to extract meaningful insights and patterns.
• Perform exploratory data analysis to inform model development and refinement.
• Collaborate with clinical experts to understand and incorporate domain-specific knowledge into models.
• Model Development and Optimization :
• Design and develop machine learning models with the software engineering team.
• Ensure models are scalable, robust, and performant in real-world clinical settings.
• Monitor and evaluate model performance, making improvements as necessary.
• Stay current with the latest research and advancements in machine learning and medical imaging.
• Collaboration and Communication :
• Collaborate with cross-functional teams to understand user needs and translate them into technical requirements.
• Communicate technical progress and challenges to stakeholders, including executive leadership.
• Contribute to the development of technical documentation and presentations.
• Quality and Compliance :
• Implement best practices for data management, model development, and deployment.
• Ensure compliance with industry standards and regulatory requirements (e.g., HIPAA, FDA).
• Maintain a strong focus on quality assurance and user experience.

Requirements