{"id":3681771,"url":"https://alion.io/job/akaike-senior-data-scientist","title":"Senior Data Scientist","company":{"id":4457962,"name":"Akaike","domain":"akaike.ai","url":"https://alion.io/company/akaike","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"DSPy","optional":false},{"name":"Embeddings","optional":false},{"name":"Encoder-Decoder","optional":false},{"name":"FastAPI","optional":false},{"name":"Feature Store","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Mistral","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"PEFT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"GraphRAG","optional":true},{"name":"Neo4j","optional":true},{"name":"TGI","optional":true},{"name":"Transformers","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-18T05:10:23Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-06T01:08:13Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Senior Data Scientist\nExperience: 4+ Years | Location: Bengaluru (Hybrid) |Team: Data Science & AI\nAbout the Role\nAkaike 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.\nKey Responsibilities\nGenerative AI & Agentic Systems (primary focus)\n Agentic Systems: Design and ship production multi-agent systems (LangGraph/CrewAI; ReACT, Agent-Critique) that generate reliable, structured, high-accuracy outputs.\nGrounding & Reliability: Engineer grounding, source traceability, and hallucination control so outputs hold up in production and regulated settings.\nEvaluation: Build quantitative evaluation for generation quality - faithfulness, hallucination, consistency, and LLM-as-a-judge frameworks.\n Human-in-the-Loop: Design configurable, human-in-the-loop workflows (review gates, co-pilot editing) that scale across clients and use cases.\n Retrieval & Tuning: Build production RAG and agentic retrieval; apply PEFT/LoRA on open-source models (Llama 3, Mistral) where it beats prompting.\nClassical ML & Data at Scale (secondary focus)\nCustom Modeling: Build bespoke models for targeting, budget optimization, and churn, including PU and single-class learning on sparse, noisy data.\n Applied Deep Learning: Apply 1D/2D CNNs, LSTMs, and embeddings to non-text data (time-series, behavioral logs) where they add real signal.\nBig Data: Write optimized PySpark/SparkSQL on Databricks over billions of rows, with feature stores consistent across training and inference.\nArchitecture, MLOps & Delivery\nSystem Design: Architect end-to-end systems with deliberate latency/cost/accuracy trade-offs and modular, reusable components.\nMeasurement: Bring statistical rigor - offline and human eval, A/B where it fits, drift detection, and automated retraining.\n Deployment: Ship scalable pipelines on AWS (Bedrock, Lambda, Step Functions) and FastAPI.\nLeadership & Stakeholders\nMentorship & Clients: Mentor juniors, run rigorous code reviews, and serve as the technical point of contact for clients - explaining model limitations and risk without overselling.\nMust-Have Skills\nAdvanced GenAI/agent frameworks (LangChain, LlamaIndex, LangGraph, DSPy), with at least one agentic system or complex RAG pipeline shipped to production.\nPyTorch or TensorFlow; solid grasp of attention, encoder-decoder architectures, and embeddings.\nExpert PySpark and SQL; comfortable debugging and optimizing Spark on Databricks.\nPython (OOP, typing, rigorous standards) and a strong experimental / statistical mindset.\nClear communicator who can explain complex AI - and its risks - to business leaders.\nNice to Have\nPharma, life-sciences, or other regulated-domain background.\nText-to-SQL, GraphRAG (Neo4j), or serving open-source models (vLLM/TGI).\nCustom loss functions / attention modifications, or open-source and publication contributions.\nBenefits & Perks\nCompetitive ESOP grants.\nWorking with Fortune 500 companies and world-class teams.\nPublishing papers and attending conferences.\nNetworking events, conferences, and seminars.\nVisibility across all functions at Akaike - sales, pre-sales, lead generation, marketing, and hiring.","description_format":"text","description_chars":3465,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology"],"lifecycle":[{"event":"open","at":"2026-11-03T13:24:10Z"}],"visa":[],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.377,"p_room":0.55,"age_days":48,"expected_fill_days":36,"reasons":["conf:1","agency","win:tail"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/akaike-senior-data-scientist","json_url":"https://alion.io/job/akaike-senior-data-scientist.json","meta":{"generated_at":"2026-11-06T04:59:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8666,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4457962},"rest":"https://alion.io/mcp/rest/get_company?id=4457962"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fakaike-senior-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fakaike-senior-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fakaike-senior-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/akaike-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fakaike-senior-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3681771}},{"tool":"search_jobs","arguments":{"company":"akaike.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3681771},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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