{"id":3924,"url":"https://alion.io/job/smartsheet-senior-machine-learning-operations-engineer","title":"Senior Machine Learning Operations Engineer","company":{"id":1678,"name":"Smartsheet","domain":"smartsheet.com","url":"https://alion.io/company/smartsheet","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":20,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-20T05:45:00Z"}},"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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":7,"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":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Smartsheet","optional":false},{"name":"Stable Diffusion","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-06-24T05:31:25Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-20T06:14:45Z","board_verified":true,"closed_at":null,"days_open":118,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":118},"description":"For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.\nSmartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.\nYou will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. \nYou Will:\nModel and Pipeline Automation \nAutomate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. \nBuild, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models.\nEvaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models.\nGovernance & Compliance\nImplement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.\nPerformance Monitoring\nContinuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. \nIncorporate user feedback for iterative improvements and manage necessary model retraining cycles.\nCross-Functional Collaboration\nAct as the \"glue\" between Data Scientists (who build models) and Software Engineers (who consume them).\nPartner effectively with software engineers, product managers and business functions to integrate the machine learning solutions across smartsheet.\nArchitecture and Infrastructure Management\nProvision and manage scalable cloud infrastructure using Infrastructure as Code (IaC).\nProvide architectural guidance and mentorship to a team consisting of ML engineers, data scientists and analytics engineers.\nDistill complex ML concepts into easy-to-follow technical documentation.\nYou Have:\n5+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (eg. AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker etc. to create ML models and data pipelines. \n7+ years of programming experience in languages used in AI/ML (eg python, scala etc)\n4+ years of experience in developing deep learning and traditional ML models using common frameworks like pytorch, tensorflow, huggingface, scikit-learn etc.\nStrong applied data science skills - ability to recognize data patterns, understand how and when to use various machine learning approaches (eg. supervised/unsupervised learning, deep learning etc.), and evaluate the performance of ML algorithms. \nProven ability to remain up-to-date with the latest advancements in Generative AI approaches (eg. OpenAI, LangChain, Stable Diffusion APIs).\nExperience developing, documenting, and supporting REST APIs\nA degree in Computer Science, Engineering, or a related field or equivalent practical experience.\nGet to Know Us:\nAt Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths-because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.\nEqual Opportunity Employer:\nSmartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. 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