{"id":1252180,"url":"https://alion.io/job/nisum-mlops-engineer","title":"MLOps Engineer","company":{"id":1850626,"name":"Nisum","domain":"nisum.com","url":"https://alion.io/company/nisum","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Amazon Aurora","optional":true},{"name":"Asyncio","optional":true},{"name":"Django","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"RabbitMQ","optional":true}],"status":"live","first_seen_at":"2026-09-15T11:51:20Z","employer_posted_date":null,"last_verified_at":"2026-09-15T11:51:20Z","board_verified":false,"closed_at":null,"days_open":14,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":14},"description":"Key Responsibilities :\n\n- Design, develop, and maintain scalable ML platforms and production-grade ML pipelines.\n\n- Build and operationalize machine learning workflows using AWS SageMaker and MLOps practices.\n\n- Develop robust and scalable applications and services using Python.\n\n- Design and implement microservices and APIs for ML and data-driven applications.\n\n- Containerize applications using Docker and implement reliable CI/CD pipelines.\n\n- Work closely with data scientists, ML engineers, and software engineering teams to productionize ML models.\n\n- Drive system architecture, technical design, and engineering best practices.\n\n- Troubleshoot performance, scalability, reliability, and deployment issues in production environments.\n\n- Provide technical leadership and contribute to architectural and technology decisions.\n\n- Ensure solutions are scalable, secure, maintainable, and aligned with business requirements.\n\nRequired Skills & Experience :\n\n- 7+ years of overall software/ML engineering experience.\n\n- 5+ years of hands-on AWS experience.\n\n- Strong programming expertise in Python.\n\n- Strong experience with MLOps, AWS SageMaker, and ML pipelines.\n\n- Experience designing and developing microservices and APIs.\n\n- Hands-on experience with Docker/containers and CI/CD.\n\n- Strong understanding of system design, architecture, scalability, and production engineering.\n\n- Demonstrated technical leadership and technical design experience.\n\nGood to Have :\n\n- Flask/Django\n\n- AsyncIO\n\n- Kubeflow\n\n- MLflow\n\n- Amazon Aurora\n\n- RabbitMQ\n\n- Harness\n\n- AWS CodeCommit\n\nPreferred Candidate Profile :\n\n- Strong problem-solving and analytical skills.\n\n- Experience building and operating production-grade ML systems.\n\n- Ability to work effectively across ML, software engineering, and platform teams.\n\n- Strong communication skills with the ability to influence technical decisions and mentor engineering teams.\nSkills\nPython, AWS, FastAPI, AWS SageMaker, Kubeflow, RabbitMQ, Flask, Django, MLOps, CI/CD Pipeline, Docker","description_format":"text","description_chars":2027,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.852,"p_room":0.9,"age_days":14,"expected_fill_days":23,"reasons":["seen:14","urgency","velocity","win:mid"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nisum-mlops-engineer","json_url":"https://alion.io/job/nisum-mlops-engineer.json","meta":{"generated_at":"2026-09-30T06:19:14Z","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":4428,"day_limit":5000,"remaining_today":572,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}