Job Information
Amazon Manager I, ML Data Operations, swami Team in Bangalore, India
Description
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Are you someone who cares about customer experience, do you have a passion for Operations Management and Machine Learning? If so, then we're looking for you!
Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is optimum, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history.
Key job responsibilities
Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities
Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics
Prepares data in business meetings/reviews and presents to senior managers and stakeholders
Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management
Owns and prioritizes work allocation based on business needs with a daily/monthly frequency
Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas
Participates and provides adequate support in business reviews with mid-level and senior leadership
Participates in new- process onboarding, i.e., new process/ experiments with complete documentation
Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions
Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism
Devises and implements performance improvement plans for associates as applicable
Identifies and works with top performers for talent development and creates a leadership pipeline for own level
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Basic Qualifications
• Bachelor's degree in a relevant field, such as Linguistics, Communications or data-related disciplines.
• 4-6 years’ work experience with at least 1 year in managing people directly
• Well versed in employee development and performance management skills and strategies including performance reviews, goal setting, and providing feedback
• Ability to work cross-functionally and with employees across teams and geographies with different skill sets
Preferred Qualifications
• Certified or Green belt trained in Lean Six Sigma.
• Passion for language, linguistics, human language technology and AI.
• Knowledge of different domains such as Finance, Health Care, and Insurance.
• Familiarity with json, yaml, xml or other forms of text markup.