Machine Learning Engineer (WFH)

Must have skills required :

Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, Python, SQL

Good to have skills :

async workflows, MLOps, Ray Tune, NLP

B2B SaaS platform (One of Uplers' Clients) is Looking for :

Machine Learning Engineer (Remote) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

We are a fast-moving startup building AI-driven solutions to the financial planning workflow. Were 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

Were 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

ADVANCED SKILLS

TECH STACK

Skills Required

Modelling, Machine Learning, Interpersonal Skills, Python, Sql