Designs, builds, evaluates, and deploys machine learning, deep learning, and LLM-based systems. Owns the end-to-end data science lifecycle, including problem definition, deployment, monitoring, reproducible pipelines, model validation, drift detection, and experiment tracking. Collaborates with product and domain teams to develop modeling strategies and improves system performance, reliability, documentation, and processes.
This is a remote position.
Data Scientist
(3-6 years of experience - Remote/Hybrid Bengaluru)
(3-6 years of experience - Remote/Hybrid Bengaluru)
Design, build, and deploy ML and LLM-based systems that drive personalization, assist teachers, and improve programs.
What you’ll do
Develop, evaluate, and deploy ML, deep learning & LLM models
Own end-to-end DS lifecycle: problem definition → deployment → monitoring
Build reproducible, well-documented model workflows & pipelines
Implement strong model QA/QC: validation, drift detection, experiment logs
Collaborate with product & domain teams to shape modeling strategies
Continuously improve performance, documentation, reliability & processes
What we’re looking for
3–6 years in applied ML / ML engineering / NLP / LLM development
Strong fundamentals: statistics, ML algorithms, deep learning
Python (pandas, numpy, scikit-learn, PyTorch/TensorFlow)
ML workflow tools (MLflow, experiment tracking, registries)
Experience with LLMs, fine-tuning, embeddings, vector stores, RAG
Experience deploying models through APIs or containerized workflows
Key Success Factors
High ownership, clean engineering, excellent documentation
Excellent communication and collaboration across teams to translate needs into solutions
Curiosity, fundamentals, and bias for shipping reliable systems
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