{"id":2762882,"url":"https://alion.io/job/infometry-mlops-engineer-2","title":"MLOps Engineer","company":{"id":3801196,"name":"Infometry","domain":"infometry.net","url":"https://alion.io/company/infometry","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":"staff","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","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":80000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-14T05:02:03Z","employer_posted_date":null,"last_verified_at":"2026-10-14T05:02:03Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Location : Bangalore, Chennai, Hyderabad, Pune\n\nRole : MLOPS GCP Data Engineer\n\nEXP : 10-19 yrs\n\nJob Summary : \nWe are seeking a highly skilled MLOps Engineer with strong expertise in the Google Cloud Platform (GCP) ecosystem, including Vertex AI, GKE, and LLMOps. The ideal candidate will design, build, and optimize ML pipelines, enabling scalable, reliable, and secure deployment of machine learning models in production.\n\nKey Responsibilities : \n\n- Design and implement end-to-end ML pipelines leveraging GCP services (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage).\n\n- Deploy, scale, and manage ML models on Vertex AI Prediction, GKE, and Cloud Run.\n\n- Enable LLMOps practices for deploying, fine-tuning, and monitoring Large Language Models (LLMs).\n\n- Implement CI/CD workflows for ML models, ensuring reproducibility, automation, and governance.\n\n- Manage feature stores, model versioning, and experiment tracking using Vertex AI and ML metadata tools.\n\n- Monitor ML systems for model drift, performance degradation, and cost optimization.\n\n- Collaborate with data engineering and data science teams to ensure seamless integration of ML pipelines into enterprise systems.\n\n- Apply MLOps best practices for model security, compliance, and lifecycle management.\n\nRequired Skills & Qualifications : \n\n- 5-10 years of experience in MLOps, Data Engineering, or ML Platform Engineering.\n\n- Strong hands-on expertise with Vertex AI, GKE, Kubernetes, and CI/CD pipelines.\n\n- Experience with LLMOps (deploying and managing large language models).\n\n- Proficiency in Python, SQL, and containerization (Docker, Kubernetes).\n\n- Strong understanding of ML lifecycle management, model monitoring, and observability.\n\n- Knowledge of data processing frameworks (Dataflow, Apache Beam, Airflow/Composer).\n\n- Experience with GCP IAM, networking, and security best practices.\n\nPreferred : GCP certifications such as Google Cloud Machine Learning Engineer (MLE) or Professional Data Engineer.\n\nSkills\nMLOps, Python, PySpark, Data Engineering, Google Cloud Platform, Vertex AI","description_format":"text","description_chars":2069,"description_truncated":false,"requirements":{"experience_years_min":10,"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":["Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-17T02:53:56Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.9,"p_room":1,"age_days":7,"expected_fill_days":31,"reasons":["seen:7","velocity","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/infometry-mlops-engineer-2","json_url":"https://alion.io/job/infometry-mlops-engineer-2.json","meta":{"generated_at":"2026-10-21T13:01:15Z","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":18409,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":3801196},"rest":"https://alion.io/mcp/rest/get_company?id=3801196"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finfometry-mlops-engineer-2"},{"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%2Finfometry-mlops-engineer-2"},{"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%2Finfometry-mlops-engineer-2"},{"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/infometry-mlops-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finfometry-mlops-engineer-2"}]}