{"id":3472761,"url":"https://alion.io/job/mitigata-ml-engineer","title":"ML Engineer","company":{"id":2130736,"name":"Mitigata","domain":"mitigata.com","url":"https://alion.io/company/mitigata","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":"middle","employment_type":null,"work_mode":"on_site","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":{"min_usd":21000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWQ","optional":false},{"name":"Axolotl","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flink","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemma","optional":false},{"name":"GGUF","optional":false},{"name":"GPTQ","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"Llama","optional":false},{"name":"llama.cpp","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Distillation","optional":false},{"name":"Pandas","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SFT","optional":false},{"name":"SGLang","optional":false},{"name":"SIEM","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TGI","optional":false},{"name":"Triton","optional":false},{"name":"TRL","optional":false},{"name":"Unsloth","optional":false},{"name":"vLLM","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-29T17:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-29T17:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"This is not an API-wrapper role. You'll deploy, fine-tune, and run your own LLMs (self-hosted, including on-prem and air-gapped environments) on live cybersecurity data and own the system end-to-end.\n\nResponsibilities: \nDeploy and operate a self-hosted LLM stack. This covers model selection, fine-tuning, quantization, serving (vLLM / TGI / SGLang / Triton), and GPU/CPU capacity planning.\nBuild the feedback loop: turn analyst corrections into training data, run regression checks, retrain, and prove the model improved.\nTrain, distill, and serve small task-specific models (classifiers, embedders, rerankers, and 1-8B SLMs) at high throughput and low cost per inference.\nBuild anomaly detection, classification, and risk-scoring systems on security telemetry (logs, network events, and user behavior).\nBuild RAG and agentic features: hybrid retrieval, reranking, tool use, structured outputs, guardrails.\n\nRequirements: \n4+ years of hands-on ML engineering, with models you've shipped and operated in production.\nAt least one self-hosted open-weight LLM in production (Llama, Mistral, Qwen, Gemma, or similar) served via vLLM, TGI, SGLang, llama.cpp, or Triton.\nProduction fine-tuning: LoRA/QLoRA, SFT, distillation, or DPO, using PEFT, Unsloth, TRL, or Axolotl.\nStrong Python and PyTorch, plus Hugging Face, scikit-learn, and Pandas.\nProduction MLOps: Docker, CI/CD, MLflow or W& B, monitoring.\n\nStrong plus: \nA human-feedback → training-data → retraining loop you've built in production.\nAnomaly detection on high-volume logs or events (security, fraud, network, observability).\nQuantization (AWQ, GPTQ, GGUF, INT8/FP8), continuous batching, cost/latency trade-offs.\nSecurity domain: SIEM, EDR, SOC, MITRE ATT& CK, network telemetry.\nKubernetes GPU scheduling, Kafka, or Flink.\nSkills\nGemma, LLM, Llama, Mistral, PyTorch, Python, Qwen","description_format":"text","description_chars":1839,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-29T17:35:00Z"}],"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":24,"reasons":["seen:0","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/mitigata-ml-engineer","json_url":"https://alion.io/job/mitigata-ml-engineer.json","meta":{"generated_at":"2026-10-30T11:05:22Z","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":15940,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":2130736},"rest":"https://alion.io/mcp/rest/get_company?id=2130736"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmitigata-ml-engineer"},{"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%2Fmitigata-ml-engineer"},{"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%2Fmitigata-ml-engineer"},{"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/mitigata-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmitigata-ml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3472761}},{"tool":"search_jobs","arguments":{"company":"mitigata.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3472761},"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); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}