{"id":1265848,"url":"https://alion.io/job/aspyra-hr-services-mlops-engineer","title":"MLOps Engineer","company":{"id":3806754,"name":"Aspyra HR Services","domain":"aspyrahr.com","url":"https://alion.io/company/aspyra-hr-services","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":["Noida, India","Delhi, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":72000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-09T04:42:59Z","employer_posted_date":null,"last_verified_at":"2026-09-09T04:42:59Z","board_verified":false,"closed_at":null,"days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"Role Overview :\n\nWe are looking for an MLOps Engineer with strong hands-on experience in building and managing production-grade ML infrastructure, automation, deployment pipelines, and model lifecycle management.\n\nKey Responsibilities :\n\n- Build, automate, and manage end-to-end MLOps pipelines for machine learning model development, deployment, and monitoring.\n\n- Develop and maintain data and ML workflows using Python and PySpark.\n\n- Implement CI/CD pipelines for automated model testing, deployment, versioning, and release management.\n\n- Containerize ML applications using Docker and manage deployments using Kubernetes or equivalent orchestration platforms.\n\n- Design and manage scalable ML infrastructure on AWS, Azure, or GCP.\n\n- Implement model deployment, version control, monitoring, logging, and automated retraining workflows.\n\n- Establish processes for model validation, performance monitoring, and production reliability.\n\n- Automate ML workflows and infrastructure provisioning using DevOps and Infrastructure-as-Code practices.\n\n- Troubleshoot deployment, infrastructure, and production issues and implement appropriate improvements.\n\n- Collaborate with Data Scientists, Data Engineers, Software Engineers, and DevOps teams to productionize and maintain ML models.\n\nRequired Skills :\n\n- 4 - 9 years of experience in MLOps, ML Engineering, Data Engineering, or a closely related field.\n\n- Strong hands-on proficiency in Python, PySpark, Git, and CI/CD.\n\n- Practical experience with Docker and Kubernetes or equivalent container orchestration platforms.\n\n- Strong understanding of the ML lifecycle, including model development, deployment, versioning, monitoring, and retraining.\n\n- Experience with at least one major cloud platform: AWS, Azure, or GCP.\n\n- Experience building automated ML/CI/CD pipelines and production deployment workflows.\n\n- Understanding of cloud infrastructure, monitoring, logging, security, and scalability.\n\n- Good understanding of DevOps practices and automation for ML workloads.\nSkills\nMachine Learning, MLOps, Python, Kubernetes, AWS, CI/CD Pipeline, Data Science, Cloud, Azure","description_format":"text","description_chars":2123,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.641,"p_room":0.55,"age_days":17,"expected_fill_days":17,"reasons":["seen:17","win:tail"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/aspyra-hr-services-mlops-engineer","json_url":"https://alion.io/job/aspyra-hr-services-mlops-engineer.json","meta":{"generated_at":"2026-09-27T03:15:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3038,"day_limit":5000,"remaining_today":1962,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}