Mid-Senior Machine Learning Engineer (Computer Vision)

About the job

Experience: 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 Nice-to-Haves: • 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

Requirements

• Computer Vision
• Machine Learning
• Python

Qualifications

• Bachelor's degree in a technical field such as computer science or years of equivalent experience

Preferred Technologies

• Computer Vision
• Machine Learning
• Python

Benefits

• Competitive salary
• Remote-friendly culture
• Opportunity to work with cutting-edge technologies

About the company

Uplers aims to make hiring reliable, simple, and fast by helping talents find and apply for opportunities that fit their skills.