Mid-Senior Machine Learning Engineer (Computer Vision)

Overview

: 4.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 7 Days

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

Opportunity Type: Remote

Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - B2B tech provider in the beauty and AI SaaS space)

What do you need for this opportunity?

Must have skills required:

LLM, rag, Cnn, Computer Vision, MLOps, Processing Pipelines, Yolo, AWS, Django, Machine Learning, Python

B2B tech provider in the beauty and AI SaaS space is Looking for:

Mid-Senior Machine Learning Engineer (Computer Vision)

Client builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat.

We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise.

We’re hiring a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production Computer Vision systems WITH_REPLACED ownership from experimentation through to deployment. You’ll work end to end on the training, optimisation, and deployment of CV models that power real customer interactions.

🔧 What You’ll Do

• Train, evaluate and deploy computer vision models for real-world use
• Collaborate WITH_REPLACED product and engineering to integrate ML systems into user-facing features
• Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines
• Stay up-to-date WITH_REPLACED the latest advancements in ML, conduct research, and explore innovative techniques
• Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
  
  
  

✅ What We’re Looking For

Must-Haves:

• 4+ years experience developing production-grade computer vision systems
• Experience WITH_REPLACED training, fine-tuning and evaluating classification (CNN), semantic segmentation (U-net), object detection (YOLO) and vision transformers
• Strong expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Keras)
• Experience designing robust image pre-processing and post-processing pipelines, including ROI/landmark detection (mediapipe) and overlay masking for real-world deployment
• Proven MLOps experience: 3+ years working WITH_REPLACED Google vertex AI or AWS Sagemaker, model versioning, experiment tracking, CI/CD integration, containerization (Docker), model compression, and optimizing model size/latency
• Bachelor''''s degree in a technical field such as computer science or years of equivalent experience
• Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment
  
  
  

• Masters or advanced degree in artificial intelligence, machine learning, computer vision, or related field
• Strong understanding of conversational AI, RAG pipelines, or LLM-based frameworks
• Exposure to Django or similar Python web frameworks
  
  
  

🌱 What We Offer

• Competitive salary (based on experience and location)
• Remote-friendly culture WITH_REPLACED flexible working hours
• Opportunity to work WITH_REPLACED cutting edge technologies
• High ownership and real technical influence
• A supportive team that values product excellence and personal growth
  
  
  

• 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!
  
  
  

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, don't hesitate to apply today. We are waiting for you!