AI Product Engineer Visual Intelligence And Automation

Experience: 4.00 + years

Salary: INR 4000000-5000000 / year (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo)

(*Note: This is a requirement for one of Uplers client - Crop.Photo)

What do you need for this opportunity?

Must have skills required:

Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch

Crop.Photo is Looking for:

Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale.

What You’ll Do

Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills

Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines.

Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch.

Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision.

Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput

Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it

Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain

What You’ll Need

2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions)

Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques.

1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines

Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing.

Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement.

Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks.

Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc.

Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda).

Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing.

A customer-centric approach — you think about how your work affects end users and product experience, not just model performance

A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed

The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket

Who You Are

You’ve built systems — not just prototypes

You care about both ML results and the system’s behavior in production

You’re comfortable taking a rough business goal and shaping the technical path to get there

You’re energized by product-focused AI work — things that users feel and rely on

You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, dont hesitate to apply today. We are waiting for you!

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