{"id":1463818,"url":"https://alion.io/job/shuru-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":419,"name":"Shuru","domain":"shurutech.com","url":"https://alion.io/company/shuru","size_band":null,"is_staffing_agency":false,"employer_type":"services","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Snowflake","optional":false},{"name":"TensorFlow","optional":false},{"name":"Waterfall","optional":false},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-09-29T14:00:52Z","employer_posted_date":null,"last_verified_at":"2026-09-29T14:00:52Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"The MLOps Engineer role is crucial for advancing machine learning operations and development within business transformation initiatives across various sectors. This role focuses on developing and maintaining enterprise machine learning solutions, ensuring robust model governance, and maintaining high model performance standards. Responsibilities include setting and enforcing best practices for model deployment and managing the technical aspects of the machine learning lifecycle. The individual in this role will contribute significantly to stakeholder management, adopt a product development mindset, and help drive strategic transformation capabilities. The role involves collaborating with strategic partners to develop and maintain machine learning products, working with SaaS vendors to implement solutions, and supporting the realization of value from these solutions. The position also works closely with diverse stakeholders to support machine learning products, assist in defining roadmaps, contribute to project delivery and engagement, and facilitate the rollout and ongoing enhancement of solutions.\nResponsibilities:\nWork with stakeholders to define machine learning solution designs based on cloud services such as Azure and Snowflake, adhering to industry best practices.\nDesign and develop machine learning pipelines and frameworks to support enterprise analytical and reporting needs.\nProvide guidance and collaborate on model deployment design with data science, ML engineering, and data quality teams.\nManage and configure cloud environments and related ML services.\nImplement improvements and new tools and approaches for model integration, storage, profiling, processing, management, and archival.\nRecommend platform improvements and development initiatives to meet strategic business and technology objectives.\nUtilize Agile practices to manage and deliver features.\nStay current with key technologies and practices to assess suitability for business requirements.\nCollaborate with the Data Science Lead, Product Architect, and market-specific teams to define and support implementation of machine learning solutions aligned with business objectives.\nProvide hands-on technology expertise.\nOwn deliverables, timelines, and quality standards.\nCo-own the product roadmap.\nHelp support and optimize BAU processes.\nPerform other related accountabilities as assigned.\nRequirements:\nBachelor's degree in computer science, engineering, or a technical field preferred.\nMinimum 3-5 years of relevant experience.\nProven experience in machine learning engineering and operations.\nStrong understanding of machine learning concepts, model lifecycle management, and model management capabilities, including model definitions, performance management, and integration.\nExperience executing model deployment, monitoring, profiling, governance, and analysis initiatives.\nExcellent interpersonal, oral, and written communication skills.\nAbility to relate ideas and concepts to others and write reports, business correspondence, project plans, and procedure documents.\nSolid Python programming skills and experience with ML frameworks such as TensorFlow and PyTorch.\nStrong data modeling and programming skills.\nExperience and strong understanding of cloud architecture and design across AWS, Azure, or GCP.\nExperience using modern approaches to automating machine learning pipelines.\nFamiliarity with Agile and Waterfall methodologies.\nAbility to work independently and manage multiple task assignments within a structured implementation methodology.\nStrong commitment to continuous improvement and innovation.\nSelf-motivated and able to work well with minimal supervision.\nExperience working across multiple teams and technologies.\nNice To Have:\nExperience with business intelligence tools, preferably Power BI.\nExperience with MLOps tools such as MLflow and Kubeflow.","description_format":"text","description_chars":3876,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-29T14:00:52Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":24,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/shuru-senior-mlops-engineer","json_url":"https://alion.io/job/shuru-senior-mlops-engineer.json","meta":{"generated_at":"2026-10-02T00:45:47Z","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":753,"day_limit":5000,"remaining_today":4247,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}