Amazon

Corporate Operations, Machine Learning Data Operatio, operations

MachineLearningDataOps,ManagerI,MLDOps,GO-AI

₹35–55L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Machine Learning Data Ops, Manager I, MLD Ops, GO-AI at Amazon. Skills: Data Ops, Team management, Operational excellence. Lead, motivate and manage a team. Measure team developmental and performance goals”

What You'll Achieve.

Meet long-term process targets; Create high performing team; Deliver on operational and qualitative KPIs; Achieve actionable goals

Industry & Context.

Corporate Operations, Machine Learning Data Operatio, operations
Problems you'll solve

Analyze data; Identify trends; Identify bottlenecks; Identify areas of improvement

Eligibility Requirements

24x7 rotational shifts

What They're Looking For.

Must Have

Graduate or equivalent, Minimum 4 years of experience, 18 Months as team leader / team manager, Microsoft Office products and applications, MS Excel & Word at an advanced level

Nice to Have

Managing critical operational processes, SLA responsibility, Knowledge of databases (querying and analyzing), SQL, MYSQL, Advanced excel, Working with large data sets, Gathering and analyzing large amounts of data, Delivering business improvements, Knowledge of lean six sigma tools, Green belt certified

What You'll Do.

motivate and manage a team

Measure team developmental and performance goals

Conduct regular 1x1 with team members

Ensure process deliverables per SLA

Manage team and workflow

Deliver on operational and qualitative KPIs

Ensure processes comply with company policies

Generate reports of team performance

Conduct internal quality checks

Ensure appropriate trainings

Conduct coaching sessions

Translate organizational vision to actionable goals

Guide team in achieving goals

Review progress periodically

Promote a culture of continuous learning

Analyze data to identify trends

Analyze data for bottlenecks

Analyze data for areas of improvement

Develop and implement process improvements

How You'll Work.

Team & Collaboration

Internal customers; Operations management team

Communication Scope

Verbal communication; Written communication; Presentation skills; Feedback skills

Process & Methodology

Process management

Full Job 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. 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 deliver

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