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Job Profile: ML Engineer
Job Location : Richardson, TX
Type: Fulltime
JD:
ML Engineer with expertise in Computer Vision, Edge AI deployment, Google Cloud Platform 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 Google Cloud Platform cloud.
Required Qualifications:
Job Profile: ML Engineer
Job Location : Richardson, TX
Type: Fulltime
JD:
ML Engineer with expertise in Computer Vision, Edge AI deployment, Google Cloud Platform 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 Google Cloud Platform cloud.
Required Qualifications:
- Candidate must be located within commuting distance of Richardson, TXor 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 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, Snykand others
- Experience with Google Cloud Platform cloud servicesand Kubernetes
- Experienced in Agile way of working, manage team effort and track through JIRA
- Certifications in Google Cloud Platform, 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