{"id":2198556,"url":"https://alion.io/job/intellistaff-data-scientist-azure-ml-mlops","title":"Data Scientist Azure ML / MLOps","company":{"id":1173444,"name":"Intellistaff","domain":"intellistaff.ca","url":"https://alion.io/company/intellistaff","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"C","score":68,"open_postings":22,"ghost_share":0.455,"stale_share":0,"repost_share":0.636,"time_to_fill_p50_days":12,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","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":23000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","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":"Azure Data Factory","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"NLP","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-10-09T19:22:12Z","employer_posted_date":null,"last_verified_at":"2026-10-09T19:22:12Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"About the Role\n\nRole Overview We are looking for a hands-on Data Scientist with strong Azure Machine Learning and MLOps experience to work on data science and machine learning initiatives. The candidate will be responsible for developing, deploying, monitoring, and maintaining ML models in an Azure cloud environment. The ideal candidate should have a strong foundation in Python, Machine Learning, Azure ML Studio, and MLOps, with the ability to take models from experimentation through production deployment.\n\nResponsibilities\n\nDevelop and implement machine learning models using Python and standard ML frameworks.\nPerform data exploration, feature engineering, model development, validation, and optimization.\nBuild and manage ML workflows using Azure Machine Learning / Azure ML Studio.\nDevelop scalable and repeatable MLOps pipelines for model training, deployment, and monitoring.\nDeploy ML models into production using Azure ML endpoints and related Azure services.\nImplement CI/CD practices for machine learning model and pipeline deployment.\nMonitor model performance, data drift, and model health in production.\nCollaborate with Data Engineers, Cloud Engineers, Architects, and Business stakeholders.\nTroubleshoot model and pipeline issues and continuously improve ML solutions.\nEnsure solutions follow enterprise standards for security, governance, scalability, and reliability.\n\nRequired Skills\n\nMandatory Technical Skills\n5–8 years of experience in Data Science / Machine Learning.\nStrong hands-on experience with Python.\nStrong understanding of Machine Learning algorithms and statistical concepts.\nHands-on experience with Azure Machine Learning / Azure ML Studio.\nGood experience in MLOps concepts and implementation.\nExperience building ML pipelines for training, validation, deployment, and monitoring.\nExperience with Git and CI/CD.\nHands-on experience with libraries/frameworks such as Scikit-learn, Pandas, NumPy and preferably PyTorch/TensorFlow.\nGood understanding of model deployment, versioning, monitoring, and lifecycle management.\n\nPreferred Skills\n\nGood to Have\nExperience with Azure DevOps.\nExposure to Azure Data Factory, Databricks, Azure Storage, Azure Functions or related Azure services.\nExperience with Docker / Kubernetes.\nExperience with REST APIs and model serving.\nExposure to LLM / GenAI / NLP use cases.\nExperience working in regulated domains such as Insurance or Financial Services.\n\nCandidate Profile\n\nWe are looking for candidates who are hands-on practitioners, rather than candidates with only theoretical Data Science knowledge. The candidate should be able to independently work across the ML lifecycle:\n\nData → Feature Engineering → Model Development → Azure ML → MLOps Pipeline → Deployment → Monitoring\n\nStrong problem-solving, communication, and stakeholder-management skills are expected.","description_format":"text","description_chars":2844,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-10-09T20:09:00Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.721,"p_room":0.55,"age_days":12,"expected_fill_days":12,"reasons":["seen:12","win:tail"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/intellistaff-data-scientist-azure-ml-mlops","json_url":"https://alion.io/job/intellistaff-data-scientist-azure-ml-mlops.json","meta":{"generated_at":"2026-10-22T11:04:29Z","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":8728,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":1173444},"rest":"https://alion.io/mcp/rest/get_company?id=1173444"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintellistaff-data-scientist-azure-ml-mlops"},{"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%2Fintellistaff-data-scientist-azure-ml-mlops"},{"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%2Fintellistaff-data-scientist-azure-ml-mlops"},{"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/intellistaff-data-scientist-azure-ml-mlops\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintellistaff-data-scientist-azure-ml-mlops"}]}