Machine Learning Engineer

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:

Artificial Intelligence, Ci/Cd Pipelines, Agentic AI, LLM, Ml frameworks, MLOps pipelines, rag, Docker, Python

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

We’re looking for a mid-senior Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions.

🔧 What We Offer

• Train, evaluate and deploy agentic AI systems and computer vision models for real-world use
• Collaborate with 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 the latest advancements in AI, 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 writing production ready code for machine learning systems
• 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products
• Familiarity withorchestration frameworks such as LangChain or LlamaIndex.2+
• Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning
• Strong Python skills and experience with PyTorch, TensorFlow or Keras
• Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI
• 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, natural language processing, computer vision, or related field
• 2+ years experience training and optimising computer vision models
• Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems
• Experience with Django or similar Python web frameworks
• Familiarity with and containerised development
• Exposure to CI/CD pipelines and infrastructure-as-code
  
  
  

🌱 What We Offer

• Competitive compensation (based on experience and location)
• Remote-friendly culture with flexible working hours
• Opportunity to work with 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!