Junior Computer Vision Engineer

About Biz-Tech Analytics

At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure.

We are looking for Junior Machine Learning Engineers (Computer Vision) who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders.

Responsibilities

As a Junior ML Engineer, you’ll work alongside senior engineers and contribute to the design, development, and deployment of Computer Vision models that power AI automation solutions.

• Assist in developing and deploying Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections.
• Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows.
• Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed.
• Collaborate with senior engineers on model deployment to edge/cloud environments.
• Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems.
• Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute.
• 0–2 years of experience (internships or projects) working on Machine Learning or Computer Vision.
• Strong programming skills in Python.
• Hands-on exposure to PyTorch or TensorFlow, OpenCV, and relevant CV libraries through internships, academic projects, or competitions.
• Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing.
• Familiarity with data preprocessing, augmentation, and basic model evaluation techniques.
• A problem-solving mindset with a strong willingness to learn and take ownership of tasks.
• Ability to work in a fast-paced, collaborative environment
• Good communication and documentation skills

Good to have

• Experience with vision-based automation in the manufacturing industry.
• Exposure to Generative AI workflows.
• Experience with Large Language Models (LLMs) and building multi-modal AI pipelines.
• Understanding of AI governance, data compliance, and security protocols.

Why Biz-Tech Analytics

• Work on challenging AI problems that demand innovation, not routine solutions.
• Lead end-to-end AI projects with full ownership.
• Collaborate with a small, high-performing team where your contributions are visible and impactful.
• Flexible, entrepreneurial work culture with opportunities for leadership and growth.