{"id":1293150,"url":"https://alion.io/job/sunware-technologies-mlops-ai-engineer","title":"MLOps / AI Engineer","company":{"id":3800701,"name":"Sunware Technologies","domain":"sunware.in","url":"https://alion.io/company/sunware-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","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":["Bengaluru, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":99000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon 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Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"ITIL","optional":true}],"status":"live","first_seen_at":"2026-08-07T11:33:01Z","employer_posted_date":null,"last_verified_at":"2026-08-07T11:33:01Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"Role Overview : \n\nWe are looking for an experienced MLOps / AI Engineer to design, build, deploy, and manage enterprise-scale Machine Learning and Generative AI solutions. \n\nThe ideal candidate will have strong expertise in MLOps, cloud platforms, Python development, and production deployment of AI/ML applications.\n\nKey Responsibilities : \n\n- Develop and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and retraining.\n\n- Build statistical models using Python and Azure Machine Learning services.\n\n- Deploy and manage AI/ML applications using Docker, Kubernetes, and cloud platforms (Azure/AWS/GCP).\n\n- Develop CI/CD pipelines and Infrastructure as Code (Terraform, ARM, Bicep, or CloudFormation).\n\n- Implement LLM-based solutions including RAG, embeddings, vector databases, and prompt orchestration.\n\n- Integrate with Azure OpenAI, OpenAI, Anthropic, or AWS Bedrock.\n\n- Monitor model performance, drift, latency, and system availability.\n\n- Ensure security, governance, compliance, and operational excellence for AI platforms.\n\nRequired Skills : \n\n- 8 to 10 years of experience in MLOps, AI Engineering, or Platform Engineering.\n\n- Experience with Azure ML, MLflow, Kubeflow, or SageMaker.\n\n- Strong expertise in Python and Linux.\n\n- Hands-on experience deploying production AI/ML systems.\n\n- Experience with Docker, Kubernetes, CI/CD, and Git.\n\n- Strong knowledge of Azure, AWS, or GCP.\n\n- Experience with Infrastructure as Code (Terraform/ARM/Bicep/CloudFormation).\n\nPreferred Skills : \n\n- Knowledge of LLMs, Generative AI, RAG, and Vector Databases.\n\n- Experience with highly available AI platforms and ITIL processes.\n\nEducation Qualification : \n\nBachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.\n\nSkills\nMLOps, Artificial Intelligence, Machine Learning, Generative AI, Cloud, Python, LLM, Azure, RAG, VectorDB, CI/CD Pipeline","description_format":"text","description_chars":1905,"description_truncated":false,"requirements":{"experience_years_min":8,"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","AI Consulting & Integration","Cloud Consulting & Migration","Data Engineering & Migration 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