Company
Weekday logo

Weekday

www.weekday.works
Location

In office: Bangalore

  • 🇮🇳 India
Annual Salary
INR 2.5m - INR 4m
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ML Engineer

Description

This role is for one of the Weekday's clients

**Salary range: Rs 2500000 - Rs 4000000 (ie INR 25-40 LPA)

** Min Experience: 1 years

Location: Bangalore

JobType: full-time

We’re looking for a driven Machine Learning Engineer to take ownership of ML and LLM-based features in a fast-growing startup environment. As the first dedicated ML engineer, you’ll play a foundational role in shaping the product's AI capabilities, building robust infrastructure, and collaborating closely with the core team.

Requirements

What You’ll Do

  • Architect and implement ML/LLM-driven features that are performant and scalable.

  • Build data infrastructure and tooling to handle large-scale data efficiently.

  • Work hands-on with the latest LLMs and AI technologies in a production setting.

  • Collaborate on code reviews and engineering best practices to grow a maintainable codebase.

  • Work closely with leadership to ideate and roadmap new capabilities.

What We’re Looking For

  • Strong computer science fundamentals and practical understanding of performance, memory, and runtime optimization.

  • 1+ years of hands-on experience in machine learning engineering.

  • Experience using LLMs in production environments (e.g., OpenAI, Claude, LangChain).

  • Proficient with ML tools and libraries like NumPy, Pandas, Scikit-learn, PyTorch, etc.

  • Comfortable navigating documentation, GitHub, StackOverflow, and open-source projects to solve technical problems independently.

  • Ability to write clean, readable, and maintainable code that the team can easily understand and build on.

  • High velocity and adaptability—you can juggle multiple features and bugs in a fast-paced startup setting.

  • A product-first mindset with a passion for building seamless and impactful user experiences.

  • Familiarity with backend systems and a willingness to wear multiple engineering hats when needed.

  • Strong English communication skills and the initiative to self-learn and problem-solve without handholding.

Tech Stack You'll Work With

  • Backend: Flask, Python

  • Frontend: React, Next.js

  • Database & Infra: MongoDB, BigQuery, Cloud Functions

  • AI/ML: LangChain, OpenAI, Claude, NumPy, Scikit-learn, PyTorch

  • Other Tools: Node.js, GitHub, CI/CD

Bonus Points

  • Public GitHub or side projects showcasing your ML or backend work.

  • Familiarity with Node.js, JavaScript, React, and MongoDB—or the ability to learn quickly.