Machine Learning Engineer

Machine Learning Engineer (Computer Vision)

Location: Kochi (On-site)

Experience: 12 years (or equivalent hands-on experience)

About Perleybrook Labs:

Perleybrook Labs is building AI-driven safety, automation, and quality-intelligence systems for global industrial environments.

Our mission is to unify vision, intelligence, and action , enabling industries to operate with higher precision, safety, and control as they move toward Industry 5.0 .

We work on real production systems deployed across international industrial environmentssolving meaningful problems, not demo projects or academic exercises.

If youre excited by what were building and want to learn deeply by doing , this role is for you.

This role is for you if:

• You want to learn how production-grade computer vision systems are built
• You enjoy hands-on problem solving, experimentation, and iteration
• Youre excited to work in a fast-moving startup with real customers
• You care more about growth, exposure, and impact than short-term pay
• You will work closely with founders, engineers, and field teamsand gain end-to-end exposure from data to deployment.

What You Will Work On:

• Building and improving computer vision models for real industrial environments
• Curating, cleaning, and managing high-quality datasets
• Training and optimizing object detection models (YOLO-based architectures)
• Working closely with annotation teams to ensure data consistency and accuracy
• Evaluating feasibility of new vision use cases and AI-driven features
• Analyzing model performance, failures, and edge cases and fixing them
• Learning how models move from training optimization deployment

This is a hands-on engineering role , not a research-only position.

What We are Looking For:

• 12 years of experience (or strong projects) in Computer Vision / Machine Learning
• Practical experience with PyTorch
• Familiarity with YOLO or similar object detection models
• Understanding of training concepts such as:

Learning rate, Batch size, Data augmentation, Overfitting, Hyperparameter tuning

• Experience working with datasets, annotations, and validation workflows
• Ability to communicate clearly with engineers, annotators, and product teams
• Strong curiosity and willingness to learn fast and work close to the product

Nice to Have (You Will Learn This Here If You Don't Know Yet):

• Model optimization techniques (quantization, pruning)
• ONNX export and inference pipelines
• Exposure to edge deployment or real-time inference constraints
• Experience with production ML challenges (data drift, edge cases, latency)

What You Will Gain (Why This Role is Valuable):

• Work on real-world AI systems , not toy problems
• Learn how industrial vision products are designed, trained, and deployed
• Exposure to international customers and use cases
• Direct mentorship and feedback in a high-performance startup environment
• Opportunity to grow into senior engineering or architecture roles
• A strong learning curve that significantly increases your long-term career value

This role is ideal if you see your early career as an investment phase .

Compensation & Expectations (Transparent):

• We optimize for learning, ownership, and exposure , not inflated titles or pay
• Growth opportunities scale as the company and product scale

How to Apply:

If our product, mission, and learning opportunity excite you more than just a paycheck:

Apply with:

• Your resume
• GitHub / project links (if available)
• A short note on why Perleybrook Labs interests you