{"id":1272450,"url":"https://alion.io/job/thelhr-senior-machine-learning-engineer-generative-ai","title":"Senior Machine Learning Engineer - Generative AI","company":{"id":3800849,"name":"Thelhr","domain":"thelhr.group","url":"https://alion.io/company/thelhr","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":"senior","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":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"SFT","optional":false},{"name":"Tool Use","optional":false},{"name":"DeepSpeed","optional":true},{"name":"DPO","optional":true},{"name":"Fine-tuning","optional":true},{"name":"FSDP","optional":true},{"name":"ONNX","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-09-02T07:03:12Z","employer_posted_date":null,"last_verified_at":"2026-09-02T07:03:12Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Sr. ML Engineer - Generative AI\n\nAI Platform\n\nKey Responsibilities :\n\n- Design, build, and ship production-grade LLM applications: RAG pipelines, agentic workflows, and tool-calling systems for education-specific use cases such as question answering, content generation, adaptive feedback, and curriculum alignment.\n\n- Own full system architecture: data pipelines, retrieval layers, orchestration, APIs, and service infrastructure - written as maintainable, tested production code, not notebooks or scripts.\n\n- Build rigorous LLM evaluation frameworks: task-specific benchmarks, regression testing, human eval loops, and automated quality gates to catch degradation before it ships.\n\n- Own latency and cost at the application layer: caching strategies, request batching, model/route selection, and prompt-context optimisation to keep production systems fast and affordable at scale.\n\n- Build data pipelines for grounding and instruction data, including multilingual and Indic language sources.\n\n- Assess new open-source and closed model releases for domain applicability, cost, and production readiness.\n\n- Define and track system performance metrics, evaluation benchmarks, and reliability targets across all shipped features.\n\n- Work with open-source and sovereign LLMs, integrating them into production-proven serving and orchestration frameworks.\n\n- Where warranted, fine-tune or adapt foundation models (LoRA/QLoRA/SFT) - a strong plus, not a gating requirement for this role.\n\nMust-Have Skills:\n\n- Strong production Python engineering: clean, tested, maintainable code - not scripts or notebooks. Comfortable owning services in production.\n\n- Hands-on experience building and shipping RAG or agentic systems in production: retrieval design, orchestration (e.g. LangChain/LangGraph or equivalent), tool calling, and multi-step reasoning pipelines.\n\n- Demonstrated experience building LLM evaluation systems: benchmarks, regression tests, human-eval workflows, and quality monitoring - not just anecdotal \"it works.\"\n\n- Experience building and operating backend systems/services: APIs, data pipelines, deployment, and monitoring in a real production environment.\n\n- Working knowledge of AI/ML pipelines, data preparation, and model deployment.\n\n- Experience working with open-source and sovereign LLMs, using standard, production-proven frameworks.\n\n- Understanding of cloud platforms and infrastructure for serving ML/LLM systems at scale.\n\nGood to Have :\n\n- Hands-on fine-tuning experience with LoRA, QLoRA, SFT, DPO, or similar preference-optimisation techniques.\n\n- Familiarity with DeepSpeed, FSDP, or large-scale distributed training frameworks.\n\n- Experience with inference optimisation (quantisation, ONNX, efficient serving) at the model layer.\n\nSkills\nMachine Learning, Python, LLM, RAG, LangChain, Generative AI, Artificial Intelligence, LORA","description_format":"text","description_chars":2857,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.608,"p_room":0.45,"age_days":44,"expected_fill_days":26,"reasons":["seen:44","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/thelhr-senior-machine-learning-engineer-generative-ai","json_url":"https://alion.io/job/thelhr-senior-machine-learning-engineer-generative-ai.json","meta":{"generated_at":"2026-10-17T20:18:34Z","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":4024,"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":3800849},"rest":"https://alion.io/mcp/rest/get_company?id=3800849"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthelhr-senior-machine-learning-engineer-generative-ai"},{"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%2Fthelhr-senior-machine-learning-engineer-generative-ai"},{"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%2Fthelhr-senior-machine-learning-engineer-generative-ai"},{"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/thelhr-senior-machine-learning-engineer-generative-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthelhr-senior-machine-learning-engineer-generative-ai"}]}