{"id":2175691,"url":"https://alion.io/job/signify-ml-operations-engineer-2","title":"ML Operations Engineer","company":{"id":10837,"name":"Signify","domain":"signify.com","url":"https://alion.io/company/signify","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":96,"open_postings":13,"ghost_share":0,"stale_share":0.154,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-16T08:11:46Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"About Signify\nThrough bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.\nAt Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.\nJoin us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.\nMore about the role\nJob Summary\nBuilds and supports scalable Machine Learning (ML) and MLOps systems, enabling reliable model deployment through modern architectures such as microservices and containerized environments. Works closely with data scientists and engineers to operationalize models, improve performance, and integrate intelligent components including multi-agent systems into production workflows.\nKey Areas of Responsibility\nContribute to the design and implementation of scalable ML infrastructure supporting model training, deployment, and inference.\n\nDevelop and deploy ML solutions as modular, reusable microservices using APIs, enabling flexible integration with enterprise applications.\n\nPackage ML models and services using Docker and deploy them using orchestration platforms such as Kubernetes to ensure scalability, portability, and reliability.\n\nMonitor production systems for model performance, latency, and drift; support optimization and improvements.\n\nBuild and maintain CI/CD pipelines for ML workflows, including versioning, testing, and automated deployment.\n\nDevelop and maintain scalable data pipelines for batch and real-time processing to support model training and inference.\n\nContribute to the development of multi-agent or agent-based solutions (e.g., orchestration of LLM agents, task-specific services, or workflow agents) to solve complex business problems.\n\nTroubleshoot issues across distributed ML systems and microservices; ensure system stability and uptime.\n\nFollow best practices for secure deployment, API management, and data privacy across distributed systems.\n\nWork with engineering, data science, and business teams to deliver scalable, production-ready solutions.\n\nStay updated on emerging technologies in ML, MLOps, distributed systems, and AI (including GenAI and agent-based frameworks).\n\nCritical Experiences\nBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.\n\nStrong understanding of machine learning algorithms, statistical modeling, and applied data science use cases.\n\nExperience with ML lifecycle management and tools such as AWS SageMaker, Azure ML, Dataiku, or similar platforms.\n\nHands-on experience building RESTful APIs and deploying ML models as microservices using frameworks such as FastAPI, Flask, or similar.\n\nWorking knowledge of Docker for containerization and Kubernetes for service orchestration, scaling, and deployment.\n\nExposure to designing or integrating multi-agent systems, LLM-based agents, or distributed service-based architectures is a strong plus.\n\nExperience with data processing frameworks such as Spark, Hadoop, or NoSQL databases.\n\nHands-on experience with AWS or Azure, including deploying and managing scalable ML solutions.\n\nProficiency in Python and SQL; familiarity with Java/Scala is a plus.\n\nEverything we’ll do for you\nYou can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.\nCome join us, and together we can light up the future.","description_format":"text","description_chars":4202,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LED Lighting & Luminaires"],"lifecycle":[{"event":"open","at":"2026-10-09T14:09:43Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.297,"p_room":0.28,"age_days":63,"expected_fill_days":25,"reasons":["conf:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/signify-ml-operations-engineer-2","json_url":"https://alion.io/job/signify-ml-operations-engineer-2.json","meta":{"generated_at":"2026-10-16T10:01:40Z","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":8360,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":10837},"rest":"https://alion.io/mcp/rest/get_company?id=10837"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsignify-ml-operations-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%2Fsignify-ml-operations-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%2Fsignify-ml-operations-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/signify-ml-operations-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsignify-ml-operations-engineer-2"}]}