{"id":3737872,"url":"https://alion.io/job/bizviz-technologies-ml-ops-engineer","title":"ML Ops Engineer","company":{"id":3810693,"name":"BizViz Technologies","domain":"bdbizviz.com","url":"https://alion.io/company/bizviz-technologies","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":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Feature Store","optional":false},{"name":"Grafana","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-11-04T09:37:24Z","employer_posted_date":null,"last_verified_at":"2026-11-04T09:37:24Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"ML Ops Engineer\n\nLocation: Bengaluru\n\nExperience: 4 - 6 Years\n\nOpen Positions: 2\n\nEmployment Type: Contract\n\nProject Duration: 6 Months\n\nShift Timings: 1:30 PM - 10:30 PM IST\n\nEducation Qualification: B.Tech\n\nMandatory Skills:\n\n- Machine Learning\n\n- Python\n\n- Data Warehousing\n\n- AWS\n\n- Data Analytics\n\n- Grafana\n\nExperience Requirements:\n\n- Overall experience of 4 - 6 years, with at least 2 - 3 years of experience in MLOps, ML/Data Engineering, or SRE for data and ML systems.\n\n- Experience collaborating with globally distributed ML Engineering, Model Services, and Tech Ops/SRE teams.\n\n- Flexibility to work with regular overlap with US Pacific Time business hours.\n\nRoles & Responsibilities:\n\n- Monitor model quality in production, including prediction distributions, feature drift, model performance, and data freshness.\n\n- Own dashboards, alerts, and incident triage using Grafana, Datadog, and Prometheus, ensuring documented runbooks for every alert.\n\n- Lead model incident triage across infrastructure, models, and data, and drive Root Cause Analysis (RCA) activities to closure.\n\n- Contribute to Data Quality Monitoring frameworks and maintain training and inference pipelines using Databricks/Spark.\n\n- Support platform migrations, including Lakehouse, Unity Catalog, and runtime upgrades, with validation before and after each migration.\n\n- Improve CI/CD processes and code quality for ML jobs.\n\n- Support model teams through technical documentation, knowledge transfer, and onboarding sessions.\n\nProject Overview:\n\n- The role involves supporting production Machine Learning systems powering personalization, recommendation engines, and search-ranking solutions.\n\n- Models are trained and scored through Databricks/Spark-based batch pipelines. Features are published to feature stores and served through model-serving infrastructure.\n\n- The primary responsibility of this role is to ensure that models continue to perform as expected in production environments, beyond infrastructure availability and system uptime.\n\n- The engineer will focus on:\n\n1. Production model quality monitoring.\n\n2. Model and feature drift detection.\n\n3. Data pipeline health and freshness monitoring.\n\n4. Model-specific dashboards and alerting.\n\n5. Feedback loops and continuous improvement of ML operations.\nSkills\nMLOps, DevOps, Machine Learning, Python, AWS, Data Warehousing, Data Analytics, Grafana, Databricks, Hadoop, CI/CD","description_format":"text","description_chars":2421,"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":["BI & Dashboard Software","Decision Intelligence"],"lifecycle":[{"event":"open","at":"2026-11-04T10:31:38Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":26,"reasons":["seen:3","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/bizviz-technologies-ml-ops-engineer","json_url":"https://alion.io/job/bizviz-technologies-ml-ops-engineer.json","meta":{"generated_at":"2026-11-08T22:51:57Z","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":47690,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":3810693},"rest":"https://alion.io/mcp/rest/get_company?id=3810693"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbizviz-technologies-ml-ops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fbizviz-technologies-ml-ops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fbizviz-technologies-ml-ops-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/bizviz-technologies-ml-ops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbizviz-technologies-ml-ops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3737872}},{"tool":"search_jobs","arguments":{"company":"bdbizviz.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3737872},"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. 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