Careers > Data Scientist - Computer Vision

Position: Data Scientist - Computer Vision

JobID: DS002
Team: Data Science Team

Locations: Boston, MA, New York, NY

The target locations for this position are: Greater Boston, New York, or remote in neighboring areas. 

Please send cover letter, CV or resume to or apply below.


We are looking for a talented computer vision and deep learning expert to join the SFL Scientific Data Science team. As a data science consultant, you will be focused on developing and deploying image processing, machine learning or deep learning solutions that will have impact in the healthcare, biotech, security, and manufacturing industries. SFL Scientific is a US-based data science consulting firm, providing a broad range of services and solutions in data engineering, big data, machine learning, and Artificial Intelligence. This data scientist position will primarily be working with clients in the Northeast, in the Greater Boston Area.
About the Role:

As a computer vision and deep learning data scientist you will:

  • Collaborate with team members on developing computer vision systems starting from prototype to production.

  • Research, design, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems.

  • Keep up with state-of-the-art in computer vision and deep learning and apply them to improve and create new solutions for clients.

  • Develop and implement state-of-the-art computer vision algorithms for object detection, classification, segmentation, or recognition.

  • Translate business requirements into quick prototypes or proof of concept and work with clients directly to uncover operational objectives.

Core Requirements:

  • Ph.D. or MS in computer science, machine learning, physics, engineering, or related fields.

  • Strong foundation in computer science, algorithms, data structures, machine learning, and statistics.

  • Depth and breadth in state-of-the-art computer vision, deep learning and machine learning technologies.

  • 4+ years of experience in computer vision or deep learning at an enterprise level.

  • Proficiency with Tensorflow, Keras, or other deep learning frameworks.

  • Proficiency in C/C++, Python and associated packages, and image pre-processing methods.

  • Experience working with small & large datasets for deep learning applications.

  • Excellent written and verbal communication skills and ability to communicate effectively to both technical and nontechnical audiences.

  • Technical fluency; comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members.

Preferred Qualifications:

  • Proficient with AWS or Azure cloud computing environments.

  • Proficient with a distributed computing platform (Hadoop, Spark, etc.).

  • Experience with parallel/distributed computing or HPC systems.

  • Experience with prototyping on NVIDIA/DGX or equivalent architecture and hardware.

  • Experience in computer vision for healthcare, medical imaging, security, or anomaly and defect detection applications.

You must be authorized to work in the US. We support flexible work hours and paid professional development. 

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About SFL Scientific

SFL Scientific is a US-based data science consulting and services company, providing a broad range of solutions in data engineering, big data, machine learning, and Artificial Intelligence. SFL works at the intersection of business and technology to help clients improve their performance, automate processes, and create sustainable value for stakeholders using custom algorithm development and data-driven solutions. We are industry agnostic and instead focus on solving complex, R&D, and challenging business problems.