ML Engineer/Data Scientist

Job Description

ML Engineer with expertise in 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
• 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

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.

Benefits

Along with competitive pay, as a full-time employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off