{"id":2689402,"url":"https://alion.io/job/spice-money-data-scientist","title":"Data Scientist","company":{"id":3800813,"name":"Spice Money","domain":"spicemoney.com","url":"https://alion.io/company/spice-money","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"TypeScript","optional":false},{"name":"A/B Testing","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Codeium","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Falcon","optional":true},{"name":"GCP","optional":true},{"name":"GPT-4","optional":true},{"name":"Hallucination","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Mistral","optional":true},{"name":"NLP","optional":true},{"name":"OpenAI","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Recommender Systems","optional":true},{"name":"RLHF","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"Snowflake","optional":true},{"name":"Vertex AI","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-16T05:49:25Z","employer_posted_date":null,"last_verified_at":"2026-10-16T05:49:25Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Data Scientist - AI\n\nEngineering - Full-Time - On-site\n\nExperience :\n\n3 - 5 years\n\nLocation :\n\nMohali/Noida\n\nABOUT THE ROLE : \n\nWe are hiring a Senior AI Engineer to lead the design, development, and deployment of AI-powered systems across our engineering platform. You will work at the intersection of applied machine learning, software engineering, and product delivery - building systems that directly impact how our teams ship software and serve customers.\n\nThis is a high-ownership role. \n\nYou will not just integrate AI APIs - you will own the end-to-end lifecycle of AI features, from research and prototyping through production reliability.\n\nKEY RESPONSIBILITIES :\n\n- Design and implement LLM-powered features including agents, RAG pipelines, and evaluation frameworks integrated into production systems.\n\n- Ownership. Own the full AI feature lifecycle:\n\n1. Prototype, evaluate, and deploy ML models and AI services - including fine-tuning, prompt engineering, and model selection.\n\n2. Build and maintain robust data pipelines for model training, evaluation, and monitoring using tools such as Airflow, dbt, or Spark.\n\n3. Define and enforce AI quality standards - including automated evals, red-teaming, and latency/accuracy benchmarking.\n\n- Collaborate with product, design, and infrastructure teams to ship AI features that are reliable, explainable, and scalable.\n\n- Establish best practices for AI tooling, code review for ML code, and engineering standards across the AI function.\n\n- Mentor engineers on applied AI techniques, model evaluation, and responsible AI usage.\n\n- Contribute to vendor assessment - including evaluation of AI tools such as Cursor, Claude, GitHub Copilot, and internal LLM deployments.\n\nREQUIRED QUALIFICATIONS :\n\n- 3 - 5 years of software engineering experience, with at least 2 years focused on AI/ML systems in production.\n\n- Deep proficiency in Python; familiarity with TypeScript or Go is a plus.\n\n- Hands-on experience with LLM frameworks - LangChain, LangGraph, etc.\n\n- Experience building RAG systems, vector databases (Pinecone, Weaviate, pgvector), and semantic search pipelines.\n\n- Strong understanding of model evaluation - offline evals, human feedback loops, A/B testing, and hallucination detection.\n\n- Proficiency with cloud AI services (AWS SageMaker, Azure ML, or GCP Vertex AI) and container-based deployments.\n\n- Familiarity with data engineering and ETL pipelines that feed ML workflows.\n\n- Excellent written and verbal communication - able to explain model behaviour and trade-offs to non-technical stakeholders.\n\nPREFERRED QUALIFICATIONS :\n\n- Experience with fine-tuning or RLHF on open-source models (LLaMA, Mistral, Falcon, or similar).\n\n- Background in NLP, information retrieval, or recommendation systems.\n\n- Familiarity with AI governance, data privacy compliance, and responsible AI frameworks.\n\n- Experience evaluating or deploying AI copilot tooling (Cursor, GitHub Copilot, Codeium) at team or org level.\n\nOUR AI & ENGINEERING STACK:\n\nLanguages :\n\n- Python (primary), TypeScript, SQL\n\nLLM/AI :\n\n- Anthropic Claude, OpenAI GPT-4o, LangChain, LlamaIndex\n\nVector DBs :\n\n- Pgvector, Pinecone, Weaviate\n\nInfra : \n\n- AWS, Docker, Kubernetes, Terraform\n\nData :\n\n- Dbt, Airflow, Snowflake, Spark\n\nDev tools :\n\n- Cursor (enterprise), GitHub Copilot, Claude.ai Team\nSkills\nData Science, Artificial Intelligence, Generative AI, LangChain, LLM, Data Scientist, RAG, LLama, Python, AWS SageMaker","description_format":"text","description_chars":3453,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-16T08:29:40Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["seen:0","win:early"],"computed_at":"2026-10-17T04:47:51Z"},"pay":null,"html_url":"https://alion.io/job/spice-money-data-scientist","json_url":"https://alion.io/job/spice-money-data-scientist.json","meta":{"generated_at":"2026-10-17T04:47:51Z","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":6317,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":3800813},"rest":"https://alion.io/mcp/rest/get_company?id=3800813"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspice-money-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%2Fspice-money-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%2Fspice-money-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/spice-money-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspice-money-data-scientist"}]}