{"id":1304978,"url":"https://alion.io/job/amazon-machine-learning-data-ops-manager-i-mld-ops-go-ai","title":"Machine Learning Data Ops, Manager I, MLD Ops, GO-AI","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Management","role_family":"Management","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":875},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Computer Vision","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Machine Learning","optional":true},{"name":"MySQL","optional":true},{"name":"SLI/SLO/SLA","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-27T01:05:55Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Want to join the Earth’s most customer centric company? Are you someone who like to design the right workforce strategy to meet long-term process targets? Do you like to develop the talent to create a high performing team? If yes, we have opportunities for you. Global Operations - AI (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. \nManager I / Front line manager is accountable for the overall direction and operations of our site a team of 20-25 employees, creating a culture of customer obsession, high performance and high-quality throughput.\nKey job responsibilities\nShould be a Graduate or equivalent \nMinimum 4 years of experience out of which 18 Months should be as team leader / team manager \nProven leadership abilities with a track record of successfully managing and motivating teams. \nExcellent / V Good verbal and written communication skills in English\nVery good Presentation, Feedback & Coaching skills\nAbility to observe, analyze and identify process improvement opportunities\nHighly energetic & enthusiastic \nShould be able to lead by examples\nHands on experience on MS-Office, preferably on MS-Excel and Power Point\nAbility to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality\nBasic data handling and Data interpretation skills \nShould be comfortable with 24x7 rotational shifts \nAbility to pull data from numerous databases (using Excel and other data management systems) and to perform ad hoc reporting and analysis, as needed, is a plus.\nCommunicating with Internal customers (ACES, Training, Quality etc.) - Drive and execute bar-raising initiatives aimed at hiring and developing top talent and build career development road-map for the associates. A day in the life\nLead, motivate, and manage a team of 20-25 associates engaged in ML data annotation operations from virtual or work-from-office spaces; scale and transition across 2-3 programs based on business needs \nEnsure process deliverables per SLA and deliver on operational & qualitative KPIs (APL, SPL, Quality scores); conduct regular 1:1s and team performance reviews \nGenerate reports on team performance and SOPs, and provide actionable insights to Senior Leadership \nDrive continuous improvement by contributing to the development of audit methodologies, checklists, and test frameworks to enhance data generation productivity \nTranslate organizational vision into actionable goals; promote a culture of continuous learning and build career development roadmaps for associates \nCommunicate effectively with internal stakeholders (ACES, Training, Quality) and collaborate with remote, multi-cultural teams to execute bar-raising initiatives About the team Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers. Come build the future of human-technology interaction with us. We are combining computer vision, mobile robots, advanced end-of-arm tooling, and a high degree of freedom of movement to solve real-world problems on a huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype, and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. \nBasic qualifications\n- - Should be a Graduate or equivalent\n- - Minimum 4 years of experience out of which 18 Months should be as team leader / team manager\n- - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Knowledge of - Microsoft Office products and applications, especially MS Excel & Word at an advanced level\nPreferred qualifications\n- Experience in managing critical operational processes with SLA responsibility in an ML/AI data operations environment\n- Knowledge of databases (SQL, MySQL) and Advanced Excel; experience working with and analyzing large datasets to drive business improvements\n- Familiarity with ML data annotation workflows, labeling tools, or AI/ML program operations\n- Knowledge of Lean Six Sigma tools or Green Belt certification\nExperience working in geographically distributed, multi-cultural team environments - Ability to perform ad hoc reporting, pull data from multiple systems, and translate insights into operational decisions Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.","description_format":"text","description_chars":4860,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":20,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Cloud Platforms (IaaS & PaaS)","Logistics","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T13:05:19Z"}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.455,"p_room":0.35,"age_days":11,"expected_fill_days":4,"reasons":["conf:2","win:tail","comp:brand"],"computed_at":"2026-09-27T03:49:00Z"},"pay":null,"html_url":"https://alion.io/job/amazon-machine-learning-data-ops-manager-i-mld-ops-go-ai","json_url":"https://alion.io/job/amazon-machine-learning-data-ops-manager-i-mld-ops-go-ai.json","meta":{"generated_at":"2026-09-27T03:49:00Z","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":3556,"day_limit":5000,"remaining_today":1444,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}