{"id":200327,"url":"https://alion.io/job/general-mills-dt-machine-learning-engineer-ii-mlops","title":"D&T Machine Learning Engineer II (MLOps)","company":{"id":93250,"name":"General Mills","domain":"generalmills.com","url":"https://alion.io/company/general-mills","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0.125,"time_to_fill_p50_days":38,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"closed","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-27T18:05:07Z","board_verified":false,"closed_at":"2026-10-27T18:05:07Z","days_open":54,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":54},"description":"COMPANY OVERVIEW\nWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.\n\nOVERVIEW\nGeneral Mills, Digital and Technology India, is seeking a Machine Learning Engineer II to join the Enterprise Data Capabilities Organization. This team builds enterprise-level scalable and sustainable data and model pipelines to serve the analytic needs of business and high-impact problem statements. In this role, you are a critical member of the data science team focused on operationalizing the ML and AI models, which entail model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.\nKEY ACCOUNTABILITIES\nImplement and supportend-to-end MLOps pipelinesusingGCP, Vertex AI, Airflow/Kubeflow, and related tools.\n\nBuild and maintainfeature engineering, deployment, monitoring, retraining, and CI/CD/CT pipelinesfor production ML solutions.\n\nEnsureML model lifecycle management, including monitoring, performance optimization, and operational support.\n\nFollow and recommendMLOps best practices, coding standards, version control, and technical documentation.\n\nCollaborate withData Science, Data Engineering, Cloud Platform, and MLOps teamsto deliver scalable ML solutions.\n\nCommunicate project progress, risks, and outcomes effectively while contributing to knowledge sharing across teams.\n\nContinuously enhance technical expertise by adopting emerging MLOps technologies, tools, and best practices.\n\nMINIMUM QUALIFICATIONS\nEducation: Bachelor’s degree (full time)\n\nExperience: Total 6+ years of analytical experience with atleast 3+ years of experience inAI and Machine Learning\n\nTechnical Skills: Expertise in Data Transformation and Manipulation through Big-Query/SQL, professional experience with Vertex AI and GCP Services, Strong expertise in Python for designing and running ML pipelinesalong with Airflow/Cloud composer/Kubeflow Experience,Building and maintaining project specific custom containers.\n\nSoft Skills: Strong communication skills both verbal and written including the ability to interacteffectively with colleagues of varying technical and non-technical Passionate about agile software processes, data-driven development, reliability, and systematic experimentation.\n\nPREFERRED QUALIFICATIONS\nGoogle Cloud Platform Machine Learning (GCPML) certification\n\nUnderstanding of the Consumer-Packaged Goods (CPG) industry\n\nStrong understanding of Core Machine Learning Algorithms\n\nELIGIBILITY\nApplicants 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