AI ML Engineer - Search Remote

Experience: 2.00 + years

Salary: INR 1800000.00 / year (based on experience)

Expected Notice Period: 7 Days

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

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing)

(*Note: This is a requirement for one of Uplers client - A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing)

What do you need for this opportunity?

Must have skills required:

A customer-centric approach, LLM API integration, PyTorch/OpenCV, Python, FAISS, Pinecone, AI/ML libraries

A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing is Looking for:

AI/ML Engineer - Search Location: Remote-Pune | Full-Time

At Evolphin, we’re redefining how creative teams search, manage, and collaborate on content. While most companies apply AI to text, we’ve gone further: our platform embeds and indexes actual media files — video, image, design, and audio — enabling true semantic search across time-coded content and millions of creative assets. Our flagship platform, Zoom MAM, is trusted by global broadcasters, agencies, and top brands including Inter MIlan FC, Merck, Mercedes Benz to power their visual workflows. We’re now rebuilding our metadata and search architecture from the ground up — using Python-based LLM pipelines, vector embeddings, and a high-performance object store designed for AI-native media search. This isn’t just “chat with your documents.” It’s AI that understands a scene, shot, logo, or layout — and finds the right clip, version, or layout at the speed of thought.

What You’ll Own

• Build and extend backend services that power AI-driven media search and metadata enrichment
• Develop, integrate, and deploy AI/ML inference pipelines (embeddings, vision/audio models, transcription, background removal, etc.)
• Fine-tune and optimize computer vision and generative models (e.g., U²Net, BiRefNet, CLIP, Whisper, YOLO, diffusion models)
• Work with large datasets (100k–5M images): preprocessing, augmenting, and structuring for training/inference
• Contribute to building pipelines for tasks like background removal, inpainting/outpainting, banner generation, logo/face detection, and multimodal embeddings
• Integrate with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) for similarity and semantic search
• Collaborate with the engineering team to deploy scalable AI inference endpoints (Docker + GPU/EC2/SageMaker) Skills & Experience We Expect (2–3 Years)
• Core Python (Required) – solid programming and debugging skills in production systems
• AI/ML Libraries – hands-on experience with PyTorch and/or TensorFlow, NumPy, OpenCV, Hugging Face Transformers
• Model Training/Fine-Tuning – experience fine-tuning pre-trained models for vision, audio, or multimodal tasks
• Data Handling – preprocessing and augmenting image/video datasets for training and evaluation
• Vector Search – familiarity with FAISS, Pinecone, or similar for embeddings-based search
• Comfortable with chaining or orchestrating multimodal inference workflows (e.g., image + audio + OCR → unified embedding)
  
  
  

Bonus Points If You …

• Have worked with generative models (diffusion, inpainting, or outpainting)
• Understand large-scale media workflows (video, design files, time-coded metadata)
• Enjoy experimenting with new models and pushing them into production
• Care about making AI useful in real-world creative pipelines
  
  
  

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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