L3 Data Scientist

1 week ago

Bengaluru, Karnataka, India CloudHire Full time ₹ 12,00,000 - ₹ 36,00,000 per year

CoffeeBeans is a fast-growing software consulting firm known for solving complex business problems using cutting-edge engineering, AI, and data science. Our teams deliver end-to-end solutions across ML and GenAI, with a strong focus on building production-grade systems that drive measurable value for clients in fintech, retail, healthcare, logistics, and beyond.

Key Responsibilities

  • Lead the development of robust machine learning solutions across supervised
  • unsupervised
  • and time-series problems.
  • Architect and own pipelines for feature engineering
  • training
  • evaluation
  • and monitoring of models.
  • Apply advanced experimentation techniques
  • error analysis
  • and iterative improvements to meet business KPIs.
  • Design and implement GenAI-powered solutions such as copilots
  • document processors
  • summarization agents
  • and intelligent assistants.
  • Build advanced workflows using prompt engineering
  • RAG pipelines
  • context management
  • and hybrid model chaining.
  • Lead LLM fine-tuning efforts using instruction tuning
  • parameter-efficient methods (LoRA
  • QLoRA
  • PEFT)
  • or full-model fine-tuning for domain-specific use cases.
  • Evaluate trade-offs across LLM providers (open-source vs API-based) and optimize for performance
  • cost
  • and latency.
  • Partner with engineering
  • product
  • and business teams to shape technical direction and translate insights into deployed solutions.
  • Contribute to pre-sales activities
  • PoC development
  • and client workshops as a technical SME.
  • Drive technical quality
  • review deliverables
  • and ensure adherence to best practices across the data science lifecycle.
  • Mentor junior and mid-level data scientists on modeling approaches
  • GenAI architecture
  • and clean experimentation workflows.
  • Lead internal sessions on advancements in ML/LLM ecosystems and guide capability development within the team.

Qualifications

  • 6–9 years of hands-on experience in data science
  • machine learning
  • or AI product development.
  • Strong Python programming skills with expertise in libraries like pandas
  • NumPy
  • scikit-learn
  • XGBoost/LightGBM.
  • Proven track record of shipping ML models to production (batch or real-time) in business-critical applications.
  • Hands-on experience working with LLMs (OpenAI
  • Mistral
  • Claude
  • LLaMA) and frameworks like LangChain or LlamaIndex.
  • Direct experience in fine-tuning LLMs using Hugging Face Transformers
  • PEFT
  • or custom pipelines.
  • Strong understanding of prompt engineering
  • embeddings
  • similarity search
  • and vector databases (e.g.
  • FAISS
  • Pinecone).
  • Experience with Docker
  • Git
  • and cloud platforms (AWS
  • GCP
  • or Azure).

Technical Requirements

ML/GenAI platform design, MLOps tools (e.g., MLflow, SageMaker, Weights & Biases), Evaluation and safety frameworks for GenAI applications, Contributions to open-source projects or demonstrable personal projects in ML/LLMs

Additional Information

Solve real-world problems with ML and GenAI, not just toy models or prototypes. Collaborate with talented engineers, designers, and product thinkers in a flat, high-ownership environment. Work across industries and domains while experimenting with the latest in LLMs and AI tooling. Shape the future of AI development within a fast-growing, impact-focused team.

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