{"id":1181180,"url":"https://alion.io/job/microsoft-ai-lead-engineer","title":"AI Lead Engineer","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","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":34000,"max_usd":81000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":636},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LLM","optional":false},{"name":"Model Distillation","optional":false},{"name":"Quantization","optional":false},{"name":"Speech Recognition","optional":false}],"status":"live","first_seen_at":"2026-09-24T14:12:42Z","employer_posted_date":null,"last_verified_at":"2026-09-24T14:12:42Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The core responsibilities for the job include the following:\nModel Fine-Tuning (core of the role):\nFine-tune and adapt ASR models for domain vocabulary, accented and multilingual speech, noisy audio, and multi-speaker consultations.\nFine-tune LLMs for diagnostic and clinical reasoning, symptom extraction, differential generation, structured summarization, and clinical coding.\nRun and debug real training jobs end-to-end, and diagnose runs that plateau, diverge, or catastrophically forget.\nDecide when fine-tuning is the right answer versus prompting, retrieval, or a change of base model.\nData and Evaluation:\nOwn training data: curation, labeling strategy, synthetic generation, augmentation, deduplication, and leakage checks.\nBuild an evaluation that predicts production behavior: WER/CER sliced by accent and speaker, entity-level accuracy on clinical terms, hallucination, and omission rates.\nRun clinician-in-the-loop review and convert qualitative complaints into measurable objectives.\nProduction and Optimization:\nDistillation, quantization, streaming and latency optimization, batching, and cost per hour of audio.\nPartner with platform/MLOps on serving, monitoring, drift detection, and retraining cadence.\nTechnical Leadership (approx. 20-25% of the role):\nSet applied-AI direction for the team; run design reviews and make build-vs-buy calls.\nMentor 3-5 engineers on evaluation discipline and experiment hygiene.\nCommunicate model capability and limitations honestly to product, clinical, and leadership stakeholders.","description_format":"text","description_chars":1534,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Cloud Computing","Operating Systems","Gaming Consoles","Code Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-24T14:12:42Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["seen:0","win:early"],"computed_at":"2026-09-24T16:58:38Z"},"pay":null,"html_url":"https://alion.io/job/microsoft-ai-lead-engineer","json_url":"https://alion.io/job/microsoft-ai-lead-engineer.json","meta":{"generated_at":"2026-09-24T16:58:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}