What will excite us?

Must have

● 2+ years of full-time experience as an ML engineer at tier-1 product-based companies.

● MIMP: An AI-first approach for solving problems.

● Hands-on experience building statistical and machine learning models, with proven expertise across traditional methods (regression, classification, clustering, tree-based models) and deep learning techniques (neural networks, CNNs, RNNs).

● Solid prompt engineering skills.

● Good debugging and online searching skills.

● Good communication skills.

● Good problem-solving skills (ability to solve hard-level data structures and algorithms problems).

Good to have

Hands-on experience building and deploying AI Agents using LangChain, LangGraph, OpenAI API, Gemini API, Anthropic API, etc.

Hands-on experience with multi-step agent workflows, orchestration, and evaluating agent reliability.

Hands-on experience with vector databases (Pinecone, Weaviate) and semantic search.

Hands-on experience fine-tuning open-weight language models and successfully deploying and maintaining them in scalable production environments on cloud platforms (e.g., AWS, Azure, GCP).

What will you be doing?

● Collaborate closely with product managers and business stakeholders to gain a deep understanding of business challenges, translating them into well-defined machine learning problems and actionable project requirements that drive business growth and enhance learner experiences.

● Leverage your expertise in statistical modeling, machine learning, and generative AI/LLMs to research and design optimal solutions for the identified machine learning problems.

● Collaborate closely with machine learning engineers to develop and refine optimal solutions for the identified machine learning problems.

● Closely work with Applied AI/ML engineers building LLM-powered agentic systems for real product use cases.

● Design, develop, and optimize agent pipelines/APIs, build tests for agent behaviors, and contribute to evaluation frameworks.

● Take ownership of deploying the developed machine learning solutions into scalable production environments (on cloud platforms like AWS, Azure, GCP) and ensure these deployed solutions are effective.

● Staying informed about recent developments in AI/ML, including key publications, best practices, evaluation methodologies, technology stacks, and relevant tools.

Why Will You Enjoy Working with Us?

Permanent remote / work-from-home culture

Opportunity to work on a cutting-edge AI technology stack

An AI-first approach to solving real-world problems

Complete ownership and trust from leadership

Your ideas and concerns are actively heard by the leadership team

Freedom to experiment, fail, and learn

Rapid career progression for high performers

Work with a high-caliber team of engineers and industry experts

Learn how a fast-growing startup builds and scales