Machine Learning Engineer (Remote)

Experience: 5.00 + years

Salary: INR 5000000.00 / year (based on experience)

Expected Notice Period: 15 Days

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

Opportunity Type: Remote

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

(*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.)

What do you need for this opportunity?

Must have skills required:

async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL

A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for:

We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product.

Job Description-

Full-time Team: Data & ML Engineering

We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus)

What You Will Do-

• Build and optimize machine learning models — from regression to time-series forecasting
• Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker
• Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn
• Design and deploy LLM-powered features and workflows
• Collaborate closely with product managers to turn ideas into experiments and production-ready solutions
• Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform
  
  
  

Basic Skills

• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills
• Strong understanding of supervised learning and time-series modeling
• Experience deploying ML models and building automated training/inference pipelines
• Ability to work cross-functionally in a collaborative and fast-paced environment
• Comfortable wearing many hats and owning projects end-to-end
• Write clean, tested, and scalable Python and SQL code
• Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing.
  
  
  

Advanced Skills

• Familiarity with MLOps best practices
• Prior experience with LLM-based features or production-level NLP
• Experience with LLMs, vector stores, or prompt engineering
• Contributions to open-source ML or data tools
  
  
  

TECH STACK

• Languages: Python, SQL
• Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter
• Infra: Docker, Airflow, S3, asyncio, Pydantic
  
  
  

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!