Senior Data Scientist

Experience: 4+ Years | Location: Bengaluru (Hybrid) |Team: Data Science & AI

About the Role

Akaike Technologies builds agentic AI and machine-learning systems that power decision-making for global enterprises. We want a Senior Data Scientist who understands what makes agentic systems reliable and can architect complex, high-accuracy, human-in-the-loop AI for demanding clients. Roughly 70% Generative AI and agents, 30% classical ML and large-scale data, with room to move across problems as priorities shift.

Key Responsibilities

Generative AI & Agentic Systems (primary focus)

- Agentic Systems: Design and ship production multi-agent systems (LangGraph/CrewAI; ReACT, Agent-Critique) that generate reliable, structured, high-accuracy outputs.
- Grounding & Reliability: Engineer grounding, source traceability, and hallucination control so outputs hold up in production and regulated settings.
- Evaluation: Build quantitative evaluation for generation quality — faithfulness, hallucination, consistency, and LLM-as-a-judge frameworks.
- Human-in-the-Loop: Design configurable, human-in-the-loop workflows (review gates, co-pilot editing) that scale across clients and use cases.
- Retrieval & Tuning: Build production RAG and agentic retrieval; apply PEFT/LoRA on open-source models (Llama 3, Mistral) where it beats prompting.

Classical ML & Data at Scale (secondary focus)

- Custom Modeling: Build bespoke models for targeting, budget optimization, and churn, including PU and single-class learning on sparse, noisy data.
- Applied Deep Learning: Apply 1D/2D CNNs, LSTMs, and embeddings to non-text data (time-series, behavioral logs) where they add real signal.
- Big Data: Write optimized PySpark/SparkSQL on Databricks over billions of rows,



with feature stores consistent across training and inference.

Architecture, MLOps & Delivery

- System Design: Architect end-to-end systems with deliberate latency/cost/accuracy trade-offs and modular, reusable components.
- Measurement: Bring statistical rigor — offline and human eval, A/B where it fits, drift detection, and automated retraining.
- Deployment: Ship scalable pipelines on AWS (Bedrock, Lambda, Step Functions) and FastAPI.

Leadership & Stakeholders

- Mentorship & Clients: Mentor juniors, run rigorous code reviews, and serve as the technical point of contact for clients — explaining model limitations and risk without overselling.

Must-Have Skills

- Advanced GenAI/agent frameworks (LangChain, LlamaIndex, LangGraph, DSPy), with at least one agentic system or complex RAG pipeline shipped to production.
- PyTorch or TensorFlow; solid grasp of attention, encoder-decoder architectures, and embeddings.
- Expert PySpark and SQL; comfortable debugging and optimizing Spark on Databricks.
- Python (OOP, typing, rigorous standards) and a robust experimental / statistical mindset.
- Clear communicator who can explain complex AI — and its risks — to business leaders.

Nice to Have

- Pharma, life-sciences, or other regulated-domain background.
- Text-to-SQL, GraphRAG (Neo4j), or serving open-source models (vLLM/TGI).
- Custom loss functions / attention modifications, or open-source and publication contributions.

Benefits & Perks

- Competitive ESOP grants.
- Working with Fortune 500 companies and world-class teams.
- Publishing papers and attending conferences.
- Networking events, conferences, and seminars.
- Visibility across all functions at Akaike — sales, pre-sales, lead generation, marketing, and hiring.

📌 Senior Data Scientist (Bengaluru)
🏢 Akaike Technologies
📍 Bengaluru