ML Engineer

Experience: 1.00 + years

Salary: INR 800000-1000000 / year (based on experience)

Expected Notice Period: 30 Days

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

Opportunity Type: Office ()

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: MLT AI)

(*Note: This is a requirement for one of Uplers' client - MLT AI)

What do you need for this opportunity?

Must have skills required:

Async processing, evaluation, Feature Engineering, latency, LlamaIndex, pipelines, semantic search, Azure, Kubernetes

MLT AI is Looking for:

About The Job

Role: Machine Learning Engineer

Location: Pune, Maharashtra

Work Mode: Hybrid

Apply here: https://forms.gle/4Yg3eiigNze7Z3pE8

Role Overview

We are looking for a Machine Learning Developer to design and build scalable AI systems.

This role goes beyond traditional model development.

You will work on:

• core machine learning and deep learning systems
• LLM-based applications and knowledge pipelines
• retrieval and reasoning systems (RAG)
• productionization of AI models and services
  
  
  

You will help translate complex data and scientific problems into robust, production-grade AI systems.

What You’ll Work On

• Designing and developing machine learning and deep learning models
• Building scalable data pipelines for training, evaluation, and inference
• Help in developing and productionizing AI systems as APIs and services
• Designing and implementing RAG pipelines for knowledge-driven applications
• Working with LLM frameworks such as LangChain and LlamaIndex
• Building embedding pipelines and integrating vector search systems
• Optimizing model performance, latency, and scalability
• Collaborating with backend teams to integrate AI systems into products
  
  
  

Tech Stack

• Core ML: PyTorch, TensorFlow, Scikit-learn
• Data: NumPy, Pandas
• LLM / RAG: LangChain, LlamaIndex, vector databases, embeddings
• Backend Integration: FastAPI, Django (for model serving)
• Cloud: AWS (primary), Azure, GCP
• Other: REST APIs, async processing, Docker
  
  
  

What We’re Looking For

• Strong proficiency in Python and machine learning libraries
• Solid understanding of machine learning and deep learning fundamentals
• Experience building and deploying ML models in production environments
• Experience with data preprocessing, feature engineering, and model evaluation
  
  
  

Systems & AI Engineering

• Experience in productionizing ML systems (model APIs, pipelines, inference systems)
• Understanding of scalable ML architectures and data pipelines
• Familiarity with handling large datasets and compute-intensive workloads
• Experience integrating ML models into real-world applications
  
  
  

Modern AI Stack (Important)

• Experience with LangChain, LlamaIndex, or similar LLM frameworks
• Understanding of RAG (Retrieval-Augmented Generation) pipelines
• Experience with embeddings, semantic search, and vector databases
• Familiarity with prompt design and LLM-based application workflows
  
  
  

Nice to Have

• Experience with generative models, graph-based models, or diffusion models
• Exposure to life sciences, cheminformatics, or scientific data
• Experience with Docker, Kubernetes, and deployment pipelines
• Experience working on AI-first or data platform products
  
  
  

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