{"id":2803015,"url":"https://alion.io/job/datanimbus-ml-architect-data-science","title":"ML Architect - Data Science","company":{"id":7501,"name":"DataNimbus","domain":"datanimbus.com","url":"https://alion.io/company/datanimbus","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":74000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-07-25T09:39:16Z","employer_posted_date":null,"last_verified_at":"2026-07-25T09:39:16Z","board_verified":false,"closed_at":null,"days_open":87,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":87},"description":"Job Description : Databricks Certified\n\nDataNimbus is an enterprise AI company with deep vertical solutions in financial services and industrial sectors. We build domain-native AI that understands how industries actually operate, not just how data flows through them. Our solutions are outcome-driven and industry-specific, delivering measurable results across how money moves, how assets perform, and how businesses grow. We go deep so our customers don't have to start from scratch.\n\nDomain depth. Enterprise scale. AI outcomes.\n\nWhy Join DataNimbus?\n\nAt DataNimbus, we believe in shaping a sustainable, AI-driven future while offering an environment that prioritizes learning, innovation, and growth. Our core valuesCustomer-Centricity, Simplicity, Curiosity, Responsibility, and Adaptabilityare the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can : \n\n- Work with cutting-edge technologies and revolutionize workflows in Data+AI solutions.\n\n- Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.\n\n- Grow personally and professionally in a culture that values curiosity and continuous learning.\n\nIf you're passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you.\n\nWhat do we want you to do : \n\n- Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains.\n\n- Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation.\n\n- Advise data teams on several data science such as architecture, tooling, and best practices.\n\n- Provide technical mentorship to the larger ML Subject Matter Expert community.\n\nWhat would help make your case : \n\n- 6 - 10 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch.\n\n- Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring.\n\n- Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.\n\n- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience.\n\n- Experience communicating and teaching technical concepts to non-technical and technical audiences alike.\n\n- Passion for collaboration, life-long learning, and driving value through ML.\n\n- [Preferred] Experience working with Apache Spark to process large-scale distributed datasets.\n\n- Experience working with the Databricks platform.\n\n- [Preferred] 4+ years customer-facing experience in a pre-sales or post-sales role.\n\n- Can meet expectations for technical training and role-specific outcomes within 3 months of hire.\nSkills\nMachine Learning, LLM, RAG, Data Science, Tensorflow, Python, AWS, Azure, VectorDB, OpenAI, LangChain","description_format":"text","description_chars":3257,"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":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-18T01:22:52Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.523,"p_room":0.28,"age_days":86,"expected_fill_days":31,"reasons":["seen:86","win:tail","crowd:"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/datanimbus-ml-architect-data-science","json_url":"https://alion.io/job/datanimbus-ml-architect-data-science.json","meta":{"generated_at":"2026-10-20T14:43:19Z","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":16538,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":7501},"rest":"https://alion.io/mcp/rest/get_company?id=7501"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatanimbus-ml-architect-data-science"},{"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%2Fdatanimbus-ml-architect-data-science"},{"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%2Fdatanimbus-ml-architect-data-science"},{"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/datanimbus-ml-architect-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatanimbus-ml-architect-data-science"}]}