Technical Lead, Data & AI, FR

vector8

Paris

Hybride

EUR 60 000 - 90 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Flexible working hours
25 days paid vacation
Private health and life insurance
Home office allowance
Lunch vouchers
Discounted fitness memberships
50% reimbursement of public transport costs
Access to latest technologies
Training and conference grants
Opportunities at industry events
Less formal work environment
Diverse and inclusive team

Résumé du poste

vector8 is looking for a Technical Lead who will play a crucial role in the development of enterprise-grade data and AI systems. You will write code, lead teams, and solve complex engineering challenges daily, ensuring the highest quality and security standards.

This position offers a hybrid working model, competitive benefits, and a supportive team culture that encourages continuous learning and innovation.

Qualifications

  • Extensive experience in ML & data engineering.
  • Deep expertise in designing complex AI solutions.
  • Strong hands-on engineering skills in modern data/AI toolchains.

Responsabilités

  • Contribute directly to solution development and validation.
  • Lead cross-functional delivery teams of engineers and developers.
  • Build trusted relationships with CDOs and other stakeholders.

Connaissances

ML & data engineering
Technical solution architecture
Coding in Python, SQL
AWS, Azure, or GCP data/AI services
Stakeholder management

Formation

Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field

Description du poste

Job Description

The Technical Lead is a central, deeply hands‑on role at vector8. You will write code, build solutions, and directly drive the delivery of enterprise‑grade data and AI systems — while providing the technical direction and mentorship that helps the team around you excel.

This is not a primarily hands‑off, high level management position: you are expected to be in the codebase every day, solving hard problems, unblocking teammates, and setting the bar for engineering quality. You bring strong hands‑on engineering skills across data and AI, combined with the breadth to make sound technical decisions, navigate complex system landscapes, and ensure everything delivered is secure, performant, and compliant.

Job Requirements
  • Extensive anddemonstrableexperience in ML & data engineering & AI solution architectures.
  • Deep expertisein designing and building complex AI solutions (MLOps, streaming, APIs, orchestration).
  • Strong hands‑on engineering skills - comfortable coding in Python, SQL, or similar languages and working with modern data/AI toolchains.
  • Experience with AWS, Azure, or GCP data/AI services; multi‑cloud familiarity is astrongplus.
  • Knowledge of data governance, responsible AI, security frameworks, and operational controls, ideally coupled with experience inhighly regulated industries with strict requirements for security, privacy, compliance, and data governance.
  • Excellent stakeholder management and communication skills, able to influence both executives and engineering teams.
  • Ability to convert complex challenges into clear architectural decisions and actionable delivery plans.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or a related field.
Hands‑on Contributor
  • Contribute directly to solution development validating technical approaches when needed.
  • Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture.
  • Hands‑on delivery is the primary mode — you lead from the front, writing code and solving problems directly alongside the team.
Drive Technical Delivery & Team Leadership
  • Lead cross‑functional delivery teams of data engineers, ML engineers,MLOpsspecialists, and software developers.
  • Define technical workstreams, review code and designs, and ensure architectural coherence throughout the implementation.
  • Provide coaching, mentoring, and thought leadership to elevate engineering quality and delivery excellence.
Data & AI Solutions – Navigate Complex Systems & Regulated Environments
  • Work across intricate enterprise ecosystems with heterogeneous applications, distributed data sources, and legacy components.
  • Identify modernization paths and integration patterns that respect operational realities and long‑standing constraints.
  • Embed data protection, cybersecurity controls, governance, and compliance in solution design.
Enable AI at Scale
  • Design architectures that support AI development, deployment, monitoring, governance, and lifecycle management.
  • Build reusable architectural patterns and components that accelerate scaling AI beyondsingle usecases.
Shape Client Relationships & Growth
  • Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders.
  • Contribute technicalexpertiseto proposals andRfPs.
  • Identify opportunities to expand AI and data platform capabilities across the organization.
Job Benefits
  • A great compensation package with competitive benefits, including:
  • Flexible working hours, including remote work options (hybrid model).
  • 25 days of paid vacation per year, plusadditionalflex days.
  • Private health and life insurance&pension plan for long‑term security.
  • Home office allowance &Lunch vouchers to enjoy meals on us.
  • Discounted fitness memberships to stay active.
  • 50% reimbursement of public transport costs.
  • Free coffee, fruit, and snacks to keep you fueled.
  • Access to the latest technologies(LangDock, Claude Code for developers)
  • Grants for training, coaching, and conferences to support your continuous learning.
  • Opportunities to attend industry events and representvector8as a thought leader.
  • A less‑formal work environment where authenticity and collaboration thrive.
  • A diverse and inclusive team that values curiosity, ownership, and innovation.
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