Computer Vision Deployment Engineer

Job Description:

In this role, you will work directly with customers to understand their requirements, collect necessary data, and build high-quality AI/ML solutions. You will be responsible for data annotation, model training, testing, refinement, and end-to-end deployment at customer sites. This role requires both technical skills and strong communication skills to align with customers effectively.

Key Responsibilities:

• Communicate directly with customers to understand problems requirements and expected outcomes
• Collect video data or other inputs from customers based on project needs
• Perform data annotation, refinement and preprocessing, Train test, validate and optimize machine learning or computer vision models
• Troubleshoot issues and retrain models when required
• Deploy ML models at customer locations (onsite deployment)
• Develop and maintain code for ML pipelines, tools and UI dashboards
• Collaborate with internal teams to ensure smooth project delivery
• Maintain documentation and provide customer updates throughout the project lifecycle

Skills Required:

Technical Skills:

• Strong programming experience in Python
• Knowledge of ML model training, evaluation and tuning
• Experience with front-end or UI development using React.js or Angular
• Backend development knowledge is a plus
• Database experience with MySQL and MongoDB
• Understanding of video data processing and annotation tools

Soft Skills:

• Excellent communication and customer handling
• Ability to understand client needs and convert them into technical tasks
• Problem-solving mindset and ability to work independently
• Willingness to travel for onsite deployment (if needed)

Qualifications:

• Bachelor’s degree in Computer Science, IT, Electronics, or related fields
• Experience in AI/ML projects, video analytics, or customer-facing technical roles

Expereience:

• 1–2 years of experience in relevant AI/ML roles