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Part of the Capgemini Group, Sogeti

makes business value through technology for organizations that need to

implement innovation at speed and want a local partner with global scale. With

a hands-on culture and close proximity to its clients, Sogeti implements

solutions that will help organizations work faster, better, and smarter. By

combining its agility and speed of implementation through a DevOps approach,

Sogeti delivers innovative solutions in quality engineering, cloud and

application development, all driven by AI, data and automation.

SeniorTechnical Product Manager - AI/ML

Seattle,WA

We-re looking for an experienced Senior technical

product manager with domain expertise in Machine Learning, and building

production infrastructure at scale. This role will plan and execute on a strategy

for accelerating development of reliable, scalable and responsible Machine

Learning services with client. They should have both a deep technical

background and a strong, customer-centric approach to product management, which

they will have demonstrated through past projects.

Qualifications

- 4+ years of prior technical

product management experience with Machine learning in an infrastructure or

platform team.

- 4-6 years of overall product management or

other related experience.

- Technical expertise in

Machine Learning, with experience in building libraries and tooling for both

production and experimentation infrastructure at scale

- Demonstrated experience owning product delivery of scalable and

high availability machine learning models called with live data inputs.

+ Experiencewith Python and the machine learning ecosystem in Python (Numpy, Pandas,Scikit-learn, LightGBM, PyTorch, SHAP).

+ Strongunderstanding of statistics and machine learning.

- Experienced with

crafting roadmaps that serve internal customers and be able to use a strong

toolbox of tried and tested processes for ensuring effective communication and

teamwork across organizations

- Excellent written and

verbal communication skills

- Experience with Azure

and Databricks (Unity Catalog, Feature Store, AutoML etc.) highly preferred.

- Experience with

Generative AI is a PLUS, but not required.

Responsibilities:

- This Technical Product

Manager will collaborate with various Data Science and Data Product teams to

gather insights and find opportunities for us to improve the ML Platform tools,

MLOPS process and code libraries enabled by the MLOPS Platform team.

+ Own the lifecycle of technical products and theirprojects, including ideation, building POC, drafting functionalspecifications, reviewing them with stakeholders, monitoring their buildstatus, validating their implementation against specifications and analyzingtheir success post launch.

+ Be able to clearly communicate changes to timelines,scope and impact of technical projects to the AI/ML product teams, andother key stakeholders

+ Monitor and communicate analytically the success ofproduct features launched

+ Advocate for technical product innovation in our productroadmap

+ Clearly articulate why technical product solutions areneeded/implemented to a non-technical audience

Education:

+ Bachelor'sor Master's degree in Computer Science, Software Engineering, or a relatedfield.

Life at Sogeti - We support all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

+ **Flexible work**

+ **Healthcare including dental, vision, mental health, and well-being programs**

+ **Financial well-being programs such as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan**

+ **100% Company-paid mobile phone plan**

+ **3 weeks Personal Time Off (PTO) and 7 Paid Holidays**

+ **Paid parental leave**

+ **Family building benefits like adoption assistance, surrogacy, and cryopreservation**

+ **Social well-being benefits like subsidized back-up child/elder care and tutoring**

+ **Mentoring, coaching and learning programs**

+ **Continuing Education: $12,000 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed.**

+ **Programs for Counseling, Support, Health and Fitness perks, Auto discounts and much, much more!**

+ **Employee Resource Groups**

+ **Disaster Relief**

Disclaimer - Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $ 125000 - 135000 per annum. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company-s sole discretion, consistent with the law.

Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.