Manager - Machine Learning - Voice Model Job at Doctolib (Paris)

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...

Location

United States

Salary:

240700.00 - 360900.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Graduate degree in Computer Science, Engineering, Statistics or a related field
10+ years extensive experience building and scaling a data science function in a high-growth environment
10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
Experience reporting and presenting to senior business stakeholders
Experience leading go-to-market initiatives and partnering with product development teams
Experience with putting data science solutions in production and maintaining them
Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

AI Architect

As an AI Architect you will be responsible for designing and architecting a scal...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Information Technology, or a related field
Several years of experience in architecting AI-driven cloud applications, ideally with Azure AI stack and AWS
Strong expertise in Conversational AI, NLP, and Machine Learning technologies
Experience with Genesys Cloud (e.g., routing, bot integration, voice & chat AI) on AWS is a plus
Solid understanding of microservices, Kubernetes, API management, and DevOps processes
Knowledge of data privacy and security in AI-powered systems
Strong communication skills and the ability to explain complex technical concepts clearly

Job Responsibility

Design and architect a scalable AI-powered Customer Care Platform using Azure AI services and Genesys Cloud on AWS
Integrate Natural Language Processing (NLP), Conversational AI, and Machine Learning to automate customer interactions
Select and implement Azure AI services (e.g., Azure OpenAI, Azure Cognitive Services, Bot Framework) and seamlessly connect them with Genesys Cloud
Define and implement a robust microservices architecture with a focus on performance, security and compliance
Work closely with DevOps teams to automate and scale the platform efficiently
Support the API strategy to ensure seamless integration with existing CRM and ERP systems
Monitor and continuously optimize AI models to improve customer interactions and service quality

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Generous referral bonuses
Ongoing guidance from a dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Applied AI Engineer

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...

Location

United States , Washington, D.C.

Salary:

160000.00 - 250000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals
Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
Outstanding presentation skills to technical and executive audiences
Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
Candidates must have an active TS/SCI

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows
Forge and manage relationships with our customers’ leadership and stakeholders
Collaborate closely with pre-sales Solutions and Product teams
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops
Work on all aspects of complex National Security problems

What we offer

Equity in the form of employee stock options

Fulltime

New

Solutions Architect, Customer Experience

Are you passionate about architecting intelligent, seamless customer journeys? W...

Location

Singapore , Singapore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Proven, hands-on experience in designing and deploying enterprise-level contact center solutions
In-depth knowledge of Contact Center as a Service (CCaaS) platforms such as Genesys, NICE, Cisco, or the new Dynamics 365 Contact Center
A strong understanding of how AI and machine learning technologies are applied in a customer service context, including experience with natural language understanding (NLU), sentiment analysis, and sophisticated chatbot development
Solid expertise in cloud infrastructure, API development, and modern integration patterns
Exceptional communication, presentation, and stakeholder management skills, with the ability to articulate complex technical concepts to diverse audiences

Job Responsibility

Architect End-to-End Solutions: Design and build scalable, secure, and resilient contact center architectures. You will integrate key components like interactive voice response (IVR), SIP telephony, Customer Relationship Management (CRM) systems, AI and machine learning models, and advanced analytics platforms to create a unified customer view
Drive Technology Innovation: Champion an "AI-first" strategy by leading the adoption of transformative technologies. This includes implementing intelligent virtual agents, providing real-time assistance to our customer service agents, and utilizing predictive routing to connect customers with the best possible resource
Collaborate and Influence: Partner with business leaders, operations teams, and IT professionals to ensure that your technical solutions align directly with and drive our overarching customer experience objectives. You will be the bridge between technical possibilities and business goals
Master the Technology Stack: Serve as the lead solution expert for our core platforms, including Dynamics 365 Contact Center, Genesys Cloud, and VideoEngager. Your expertise will ensure seamless integration with our existing enterprise systems and a frictionless experience for both customers and agents
Uphold Security and Compliance: Guarantee that all solutions adhere to the highest standards of regulatory compliance, data privacy, and security
Champion Continuous Improvement: Establish and nurture robust feedback loops, leveraging analytics to continuously refine and enhance customer journeys and agent workflows, thereby driving efficiency and satisfaction

Fulltime

Behavioral Insights Lead - Identity

As a Behavioral Insights Lead - Identity, you will lead a core function in our s...

Location

United States , Bay Area

Salary:

89400.00 - 167500.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

4+ years of prior leadership experience managing a team of high performing fraud analysts, including coaching and development
2+ years of experience working within financial services, technology, or fintech preferred
Flexibility to lead individuals in different time zones and work with teams in multiple time zones
Demonstrated depth of knowledge in the realm of customer identity and onboarding, specifically experience with KYC, CIP, FinCrimes, and access controls
Demonstrate flexibility to adapt and able to manage multiple assignments
Show strong ability to conceptualize, develop, and implement process improvements around investigatory workflows and approaches
Previous experience working with machine learning models and modelers
Experience with utilizing visualizations (e.g. Tableau, Looker, Mode) either directly or through leading a team responsible for such visualizations
Experience using statistical approaches to solving business problems
Ability to prepare and present findings to multiple levels within the leadership hierarchy

Job Responsibility

Lead and develop a team of 5-10 individuals
Be a mentor to your team - share experience and best practices developed through your experience
Ensure the investigations framework to support frequent model iteration and validation efforts and communicate feedback to cross-functional business partners is maintained and up to date
Partner with HR, Talent, and Recruiting on sourcing candidates as well as administration of HR Policies/Procedures
Provide performance management, ongoing feedback, and professional coaching
Assist with professional development and upstream, preventative, future-proof thinking
Foster a culture of accountability, collaboration, speed, innovation, excellence, and a fun work environment while continuously elevating the quality and caliber of our controls
Recognize and Reward Talent
ensure accountability at all levels within the team roles
Assist in building and executing on short-term and long-term plans with associated benefits of strategies that are developed to reduce financial exposure associated with identified high-risk activity

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Senior Product Manager, Enterprise Model Platform (EMP) Training

Senior Product Manager, Enterprise Model Platform (EMP) Training. Product Manage...

Location

United States , Cambridge; Richmond; New York; McLean; San Francisco; Chicago

Salary:

175500.00 - 240300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 5 years of experience working in Product Management
Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
Currently has, or is in the process of obtaining a Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Championing the User: Serve as the voice of the user to turn pain points into meaningful UX improvements. Manage a user communication strategy derived from ongoing surveys and feedback gathering. Fully own the user journey from onboarding to progression
Driving Platform Excellence: Enhance platform efficiency and performance by creating robust user analytics dashboards, managing intake requests, and partnering with tech teams on compliance and modernization efforts
Strategic Execution: Work across the platform with product and tech leadership to shape a roadmap that centers the user experience, promotes a well-governed platform, integrates with the converging ecosystem of products, all while pushing the envelope on new AI-driven capabilities

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Applied AI Engineer

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

All offers include base, variable and include equity in the form of employee stock options

Manager - Machine Learning - Voice Model

Doctolib

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 15, 2026

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