? Location: Noida - Hybrid/Remote
? Experience: Typically 3+ years in machine learning, applied AI, research engineering, or equivalent technical work
? Education: B.Tech. / M.Tech. / MS in Computer Science or related technical disciplines.

About RocketFrog.ai:
RocketFrog.ai is an AI Studio for Business focused on translating advances in artificial intelligence into systems that create measurable real-world impact.
We work across Agentic AI, deep learning, multimodal systems, and AI-first product development for industries such as Healthcare, Pharma, Banking, Finance, Insurance, and Hi-Tech.

The Opportunity:
We are looking for a curious and execution-oriented Machine Learning and Applied AI Engineer to join our AI team.
This role combines a research mindset with strong engineering judgment. You will work on open-ended problems where the correct formulation or technical approach may not be known in advance.
You will reason from first principles, test hypotheses, challenge weak assumptions, and independently own substantial workstreams from experimentation through production.




We care more about how you think, learn, and execute than whether you match a specific career path or technology stack.

What You Will Own:
Translate ambiguous business and technical challenges into well-defined machine learning problems.
Identify key assumptions, constraints, failure modes, and evaluation criteria.
Design, train, fine-tune, and evaluate models using strong baselines and structured experiments.
Conduct error analysis, ablations, and robustness testing to determine whether improvements are genuine.
Build scalable and reproducible systems across data preparation, training, deployment, and monitoring.
Translate research ideas into reliable production implementations.
Evaluate trade-offs involving model quality, latency, cost, safety, and usability in collaboration with senior team members.
Own defined problems or workstreams after deployment and iterate based on real-world s

📌 Machine Learning (Noida)
🏢 RocketFrog.ai
📍 Noida