{"id":2914789,"url":"https://alion.io/job/simpliigence-ai-engineer-data-scientist","title":"AI Engineer/ Data Scientist","company":{"id":3810652,"name":"Simpliigence","domain":"simpliigence.com","url":"https://alion.io/company/simpliigence","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":237000,"period":"year","method":"global_role_seniority_cell","sample_n":2216},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tokenization","optional":false},{"name":"AI Agents","optional":true},{"name":"CrewAI","optional":true},{"name":"DeepEval","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"LoRA","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"PEFT","optional":true},{"name":"QLoRA","optional":true},{"name":"RLHF","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-05-28T00:00:00Z","employer_posted_date":"2026-05-28","last_verified_at":"2026-10-22T19:57:19Z","board_verified":true,"closed_at":null,"days_open":147,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":147},"description":"This is a remote position.\nWe're looking for an exceptionally sharp AI Engineer or Senior Data Scientist to join and help us build the next generation of intelligent, data-driven products. You'll architect and ship production-grade LLM applications, design RAG pipelines that actually work at scale, and bring rigorous ML thinking to everything from prompt design to system evaluation. This is a high-autonomy, high-impact role - you'll work closely with product and engineering to own problems end-to-end.\nDesign, build, and deploy AI models, tools, and agents to automate intelligence-heavy workflows in investment research, portfolio management, operations, and client reporting.\nPartner with the Head of Data & AI to define the technical architecture for AI use cases, integrating with Snowflake, Databricks, internal APIs, and event streams in a secure and governed way.\nImplement retrieval augmented generation (RAG) pipelines and prompt conditioning patterns that ground LLMs on Marathon’s proprietary data, documents, and knowledge assets.\nDesign and implement Model Context Protocol (MCP)-based integrations so AI assistants and agents can securely discover and connect to internal systems, databases, and services through standardized MCP servers and clients.\nBuild and maintain MCP servers that wrap key enterprise services (data warehouses, document stores, workflow systems) and expose tools, resources, and prompts to AI clients in a standardized way.\nEstablish patterns for MCP host/client configuration, access control, and observability to ensure reliable, auditable AI interactions with enterprise systems.\nImplement MLOps and LLMOps practices for both model and MCP-based integration lifecycles, including deployment automation, monitoring, logging, and rollback strategies.\nCollaborate with data engineers and platform teams to ensure clean, secure, and well-structured data access for AI consumption, including governance of which systems are exposed via MCP.\nRequirements\nCore skills we need\nPython (expert)\nLLMs & GenAI\nRAG systems\nPrompt engineering\nAWS\nML / MLOps\nVector DBs\nModel versioning\nREST APIs\nDocker / containers\nRequirements\n6+ years of hands-on Python - you write production code, build packages, and care about performance and readability.\nProven experience building and shipping LLM-powered applications (not just wrappers - you understand what's happening under the hood).\nDeep understanding of RAG: dense retrieval, sparse retrieval, hybrid, re-ranking, context window management, and evaluation.\nStrong prompt engineering skills: you know when to use CoT, how to design structured outputs, and how to debug hallucinations systematically.\nHands-on AWS experience - SageMaker, S3, Lambda, CloudWatch, and ideally Bedrock or SageMaker JumpStart.\nSolid ML fundamentals: model training, evaluation, bias/variance, feature engineering, and experimental design.\nComfortable with embedding models, tokenization internals, KV-cache, quantization trade-offs, and latency optimization.\nNice to have\nExperience with agentic frameworks (LangChain, LlamaIndex, CrewAI, or custom tool-use implementations).\nFine-tuning experience - LoRA, QLoRA, instruction tuning, RLHF familiarity.\nFamiliarity with evaluation frameworks: RAGAS, DeepEval, or building custom eval harnesses.\nMLOps tooling: MLflow, DVC, Weights & Biases, or SageMaker Pipelines.\nKnowledge of streaming inference, async serving, and cost optimization for token-heavy workloads.\nPrior work in analytics, BI, or domain-specific NLP (finance, healthcare, e-commerce).","description_format":"text","description_chars":3555,"description_truncated":false,"requirements":{"experience_years_min":6,"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":["IT Consulting & Digital Transformation","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-10-20T10:27:26Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.247,"p_room":0.28,"age_days":147,"expected_fill_days":29,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/simpliigence-ai-engineer-data-scientist","json_url":"https://alion.io/job/simpliigence-ai-engineer-data-scientist.json","meta":{"generated_at":"2026-10-22T23:06:25Z","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":8608,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":3810652},"rest":"https://alion.io/mcp/rest/get_company?id=3810652"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsimpliigence-ai-engineer-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%2Fsimpliigence-ai-engineer-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%2Fsimpliigence-ai-engineer-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/simpliigence-ai-engineer-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsimpliigence-ai-engineer-data-scientist"}]}