ML Engineer

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:
•            At least 7 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