Data Scientist

About the Role

We are seeking an ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows. You 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. You will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud.

Required Qualifications

• Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US
• 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
• At least 5 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

• 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