Machine Learning Engineer (Remote)

Experience

5+ years

Salary

INR 50,00,000 per 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 role is for a client of Uplers, a fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.

Required Skills

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

About the Company

We are a fast-moving startup building AI-driven solutions for financial planning workflows. We seek a versatile Machine Learning Engineer to build, deploy, and scale intelligent systems that power our core product.

Job Description

Team

Data & ML Engineering

Experience

5+ years as a Machine Learning or Data Engineer (startup experience is a plus)

Responsibilities

• Build and optimize machine learning models, including regression and time-series forecasting
• Work with data pipelines, orchestrate training/inference jobs using Ray, Airflow, and Docker
• Train, tune, and evaluate models using Ray Tune, MLflow, scikit-learn
• Design and deploy LLM-powered features and workflows
• Collaborate with product managers to turn ideas into experiments and production solutions
• Partner with Software and DevOps teams to build robust ML pipelines

Basic Skills

• Creative and analytical problem-solving abilities
• Excellent communication skills
• Strong understanding of supervised learning and time-series modeling
• Experience deploying ML models and building automated pipelines
• Ability to work cross-functionally in a fast-paced environment
• Ownership of projects end-to-end
• Proficient in Python and SQL, writing clean, scalable code
• Experience with async workflows and cloud-native infrastructure (S3, Docker, etc.)

Advanced Skills

• Knowledge of MLOps best practices
• Experience with LLM-based features or production NLP
• Experience with LLMs, vector stores, 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
• Infrastructure: Docker, Airflow, S3, asyncio, Pydantic

Application Process

• Click Apply and register/login on our portal
• Complete the screening form & upload your resume
• Increase your chances to be shortlisted & meet the client for an interview

About Uplers

Our goal is to make hiring reliable, simple, and fast. We help talents find relevant opportunities and support them throughout their engagement. Many more opportunities are available on our portal, depending on your assessments.

If you're ready for a new challenge and a great work environment, apply today. We look forward to hearing from you!