ML Engineer - Computer Vision
Role summary
Client is seeking an ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows. The role involves designing scalable ML pipelines, optimizing CV models for edge devices, and operationalizing AI solutions using an MLOps framework. Responsibilities include understanding client issues, diagnosing problems, designing solutions, and facilitating deployment on GCP cloud. Requires a Bachelor's degree or equivalent experience, with at least 4 years of IT experience and strong hands-on skills in MLOps, Computer Vision frameworks, and edge AI deployment.
Job Title:-ML Engineer - Computer Vision
Duration:-Full-Time
Location:- Richardson, TX
Job Description
Client is seeking a
ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows.
Candidate will be responsible for designing scalable ML pipelines, optimizing CV models for edge devices, and operationalizing AI solutions in production environments using MLOPS framework for Model Management. Candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud.
Required Qualifications:
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
- At least 4 years of experience in Information Technology
- Strong hands-on experience with
MLOps
, model deployment, CI/CD, and monitoring.
- Proficiency in
Computer Vision frameworks
: OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
- Experience deploying
AI models on edge devices
, Deepstream, Nvidia Services
- Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
- Hands-on with
containerization
,
model optimization
, and
hardware acceleration
- Solid understanding of
data pipelines
,
feature stores
, and
ML model lifecycle
- Implementation of MLOps tools like
Grafana, Prometheus, Poetry, Snyk
and others
Preferred Qualifications:
- Experience with
GCP cloud services
and Kubernetes
- Experienced in Agile way of working, manage team effort and track through JIRA
- Certifications in GCP, MLOps and Computer vision Technology
- High Impact client communication
- Domain experience with Retail Clients
- Strong problem-solving skills and ability to evaluate multiple solution paths
- Excellent communication and stakeholder management skills
