{"id":3086533,"url":"https://alion.io/job/gemba-concepts-ai-ml-engineer","title":"AI / ML Engineer","company":{"id":3798324,"name":"Gemba Concepts","domain":"gembaconcepts.com","url":"https://alion.io/company/gemba-concepts","size_band":"201-500","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":"junior","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":12000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Claude","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"21 CFR Part 11","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Qwen","optional":true},{"name":"RAG","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-22T13:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-22T13:35:15Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We're looking for an AI/ML Engineer to take ML capabilities from prototype to production. You'll own models end-to-end, framing the problem with stakeholders, building and validating the model, and deploying it as a reliable service that holds up against real-world, messy industrial data. This is a hands-on building role, not a pure research seat: your work goes into client-facing systems.\n\nResponsibilities: \nBuild and ship computer vision models for visual quality inspection (defect detection, classification, and segmentation) that perform under real factory lighting, throughput, and edge-case conditions.\nDevelop predictive maintenance models using sensor/time-series data anomaly detection, remaining-useful-life estimation, and failure prediction.\nOwn the full ML lifecycle: data pipelines, feature engineering, training, evaluation, and deployment, with proper versioning and monitoring. Deploy and serve models in production on Azure (AKS), and keep them healthy, track drift, retraining triggers, and latency.\nIntegrate LLM-based capabilities (we use the Claude API and self-hosted open models) into delivery and product workflows where they add leverage.\nCollaborate with product, engineering, and domain experts to translate fuzzy operational problems into well-scoped ML solutions and to know when ML is not the right answer.\nCommunicate results and limitations clearly to non-ML stakeholders, including clients.\n\nRequirements: \n3-5 years of hands-on experience building and deploying ML models in production (not just notebooks or coursework). Strong Python and the modern ML stack: PyTorch or TensorFlow, scikit-learn, and NumPy/Pandas.\nSolid grounding in at least one of computer vision (CNNs, object detection/segmentation, image preprocessing) or time-series/anomaly detection.\nPractical MLOps experience: containerization (Docker), model serving, experiment tracking, and deploying on a cloud platform Azure / Kubernetes (AKS) is a strong plus.\nComfort working with imperfect, real-world data labeling strategy, class imbalance, data drift, and validation that reflects production reality.\nGood engineering hygiene (Git, testing, code review) and the ability to write code others can build on.\n\nNice to Have: \nExperience with industrial / manufacturing data or regulated environments (pharma, 21 CFR Part 11 awareness).\nHands-on LLM integration experience: RAG, prompt engineering, working with APIs or self-hosted models (vLLM, Qwen, etc. ).\nEdge deployment experience (running CV models on-device / near the line).\nExposure to data pipeline tooling and orchestration.\nSkills\nanomaly detection, computer vision, python, pytorch, scikit-learn, tensorflow","description_format":"text","description_chars":2677,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Management Consulting","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-10-22T13:35:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":27,"reasons":["seen:2","velocity","win:early","comp:junior"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/gemba-concepts-ai-ml-engineer","json_url":"https://alion.io/job/gemba-concepts-ai-ml-engineer.json","meta":{"generated_at":"2026-10-26T02:05:16Z","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":2712,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":3798324},"rest":"https://alion.io/mcp/rest/get_company?id=3798324"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgemba-concepts-ai-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%2Fgemba-concepts-ai-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%2Fgemba-concepts-ai-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/gemba-concepts-ai-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgemba-concepts-ai-ml-engineer"}]}