Manager I, MLD Ops, GO-AI
AI in this role
Manage an operational team of data associates handling machine learning data operations and workflow targets.
Manager 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.
Key job responsibilities
• Should be a Graduate or equivalent
• Minimum 4 years of experience out of which 18 Months should be as team leader / team manager
• Proven leadership abilities with a track record of successfully managing and motivating teams.
• Excellent / V Good verbal and written communication skills in English
• Very good Presentation, Feedback & Coaching skills
• Ability to observe, analyze and identify process improvement opportunities
• Highly energetic & enthusiastic
• Should be able to lead by examples
• Hands on experience on MS-Office, preferably on MS-Excel and Power Point
• Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality
• Basic data handling and Data interpretation skills
• Should be comfortable with 24x7 rotational shifts
• Ability 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.
• Communicating 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
• Lead, motivate and manage a team of 20 – 25 Employees.
• Measuring Team Developmental and Performance Goals and regular 1x1 with the team members
• Ensuring process deliverables per SLA, team and workflow management
• Responsible for delivering on operational and qualitative KPIs like APL, SPL, Quality scores etc.
• Ensuring all processes are conducted in compliance with company policies and guidelines
• Generating reports of team performance
• Internal Quality checks, Audits and ensuring appropriate trainings & conduct coaching session to succeed
• Translate organizational vision to actionable goals and guide the team in achieving them & review progress periodically
• Promote a culture of continuous learning and development within the team
• Prepare metrics, SOPs and create processes
• Analyze data to identify trends, bottlenecks and areas of improvement
• Work with the operations management team to develop and implement process improvements
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.
Basic qualifications
- Bachelor's degree, or 4+ years of education or related field experience
- Experience demonstrating strong analytical abilities and confidence in the use of data
- Experience leading prioritization of tasks, team scheduling, time management, and meeting deadlines
Preferred qualifications
- 4+ years of people management experience, or Bachelor's degree
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.
How we score this
Manager I, MLD Ops, GO-AI at Amazon scores 15 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where leadership was part of your work. What did you do?
- Tell me about a project where data interpretation was part of your work. What did you do?
- Tell me about a project where performance management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer Vision, Team Management, Leadership, Data Interpretation, and Performance Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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