Lead ML & Computer Vision Algorithm Engineer

SGS Consulting; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

SGS Consulting is seeking an experienced ML/Computer Vision Engineer to design, implement, and optimize machine learning and vision algorithms for client platforms and products. You will optimize algorithms for efficient hardware deployment and develop data preprocessing pipelines for model design.

Collaborate with cross-functional teams to define requirements, analyze data and metrics, and document approaches and results for internal stakeholders.

Qualifications

• Experience in algorithm development and optimization.
• Experience with TensorFlow or PyTorch.
• Experience generating and training large-scale datasets.
• Proficiency in Python and C++.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, implement, and optimize ML and computer vision algorithms.
• Optimize algorithms for hardware deployment and efficiency.
• Develop data preprocessing pipelines for model design.
• Collaborate with cross-functional teams to define requirements and deliver solutions.
• Analyze data and performance metrics to improve outcomes.
• Document technical approaches and results for stakeholders.
• Deliver project milestones and outcomes as defined by the scope of work.
• Build and maintain data preprocessing pipelines.

Skills

Algorithm development

Data structures

Optimization techniques

Python

C++

Analytical thinking

Independent work

Communication

Education

Master's degree

Tools

TensorFlow

PyTorch

TensorFlow Lite

CUDA

Job description

SGS Consulting is seeking an experienced ML/Computer Vision Engineer to design, implement, and optimize machine learning and vision algorithms for client platforms and products. You will optimize algorithms for efficient hardware deployment and develop data preprocessing pipelines for model design.

Collaborate with cross-functional teams to define requirements, analyze data and metrics, and document approaches and results for internal stakeholders.