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Data Science Manager, Generative AI Innovation Center
3 meses atrás
Amazon launched the Generative AI Innovation Center (GAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation within their organization.
GAIIC provides opportunities to innovate in a dynamic environment that contributes to groundbreaking projects and technologies deployed on devices and in the cloud.
As a Data Science Manager in GAIIC, you will collaborate with technology and business teams to develop new GenAI solutions that excite our customers.
You will lead a team of data scientists, deep learning architects, and ML engineers to create generative AI models and pipelines, delivering cutting-edge solutions to customers' business and mission challenges. Your team will handle terabytes of text, images, and diverse data types to solve real-world problems.
The ideal candidate will possess technical and customer-facing skills, acting as the technical representative of AWS within our ecosystem and directly engaging with end customers. They should be able to engage with senior technical and management personnel at customers and partners, and provide guidance to data scientists and software developers.
An essential quality for the candidate is their capability as a technical team manager, adept at recruiting, developing, and retaining top technical talent.
AWS Sales, Marketing, and Global Services (SMGS) drive revenue, adoption, and growth across a broad range of customer segments, from small to large enterprise-level accounts, including the public sector. The AWS Global Support team prioritizes world-class support for customer success and collaborates with companies developing mission-critical applications on AWS.
At AWS, diversity is celebrated, with a commitment to fostering an inclusive culture through various employee-led affinity groups and learning experiences.
The company values work-life balance, encouraging employees to establish a flow that energizes both their personal and professional lives. Flexibility in working hours is offered to help achieve this balance.
Our team supports new members through mentorship, knowledge sharing, and career growth opportunities. Senior members provide one-on-one mentoring and constructive code reviews to facilitate career development.
About the Team
Work/Life Balance
Our team prioritizes work-life balance, recognizing the importance of balancing personal and professional pursuits for long-term happiness and fulfillment. Flexibility in working hours is provided to support this balance.
Mentorship & Career Growth
Our team is committed to fostering a supportive environment for new members, promoting knowledge sharing and mentorship. Senior members participate in mentoring and offer constructive feedback to aid in career development.
The company is open to candidates working in Sao Paulo, SP, Brazil.
BASIC QUALIFICATIONS
- 5+ years of experience in data science or data science management
- 3+ years of experience managing data scientists or machine learning engineers
- Knowledge of ML, NLP, Information Retrieval, and Analytics
- Experience in directly managing scientists or machine learning engineers
PREFERRED QUALIFICATIONS
- Master's degree or PhD in machine learning or a related technical field
- Leadership and mentorship experience in a data science team
- Understanding of cloud computing as a disruptive technical and business strategy
- Proficiency in English (verbal and written)
