SRE F/H

Who are we?
HarfangLab is a French scale-up specializing in cybersecurity
that develops
EDR
(Endpoint Detection and Response),
EPP
(Endpoint Protection Platform ), and
ASM
(Attack Surface Management) solutions
to detect and neutralize modern cyberattacks targeting an organization’s workstations and servers
. Our engines, models, and algorithms identify abnormal behaviors and either generate security alerts or block program execution.

Since our creation in 2018, HarfangLab’s technology has received strong industry recognition
, earning prestigious distinctions and becoming the
first EDR to be certified by ANSSI
in 2020, and later the first to obtain ANSSI qualification in 2025. We are also proud to have joined the
French Tech 2030 program
alongside 80 other innovative French companies, at a time when cyber resilience has become a major strategic priority for Europe.

We have raised a total of €30 million, enabling us to strengthen our teams, growing from 40 employees in 2023 to 130 today, and
expand internationally across Europe
.

Today, HarfangLab protects the endpoints of more than 800 clients of all sizes and across all sectors: CAC 40 industrial companies, government entities, SMEs, hospitals, and local authorities.
With a strong collective spirit and international ambitions, HarfangLab continues its expansion while remaining true to its original mission:
protecting organizations against increasingly complex cyber threats while enabling clients to retain full control over their data.
What you will do with us?
You will join the
Artificial Intelligence team
, a group of 7 people. This team has developed an initial system leveraging a Large Language Model to help cybersecurity analysts identify and respond to threats. The team is now working on enhancing this system with new capabilities, enabling it to perform advanced attack investigations autonomously.

You will contribute to the design, development, and deployment of these new features, from prototype to production. Your responsibilities will include:

• Building investigation agent pipelines (planning, tool calling, synthesis).
• Designing and maintaining an evaluation framework to measure system performance and track metrics over time.
• Evaluating foundation models (open-source and proprietary) against our use cases and documenting trade-offs between cost, latency, and quality.
• Industrializing developments within a shared codebase through testing, packaging, documentation, and CI/CD best practices.
• Integrating solutions into the product, deploying them, and monitoring them in production.

Depending on your interests and background, you may also have the opportunity to work on machine learning, deep learning, or data engineering projects.

About You
Hard Skills:

• You can read and understand Python code.
• You have a solid understanding of how LLMs work, including data gathering, prompting, fine-tuning, inference, attention mechanisms, and tokenization.
• You have hands-on experience working with LLMs through APIs or local deployments and have built applications such as RAG systems, tool-calling workflows, agents, or chatbots.

Nice to have:

• Basic knowledge of cybersecurity.
• Experience with agent frameworks such as LangGraph, PydanticAI, Haystack AI, or similar.
• Knowledge of machine learning or deep learning frameworks such as Scikit-learn, PyTorch, or equivalent.

Soft Skills:

• You are curious and autonomous, and you are comfortable taking ownership of topics that are not yet fully defined.
• You have strong analytical skills and can help structure complex problems so that other team members can contribute effectively.
• You enjoy collaborative work, communicate clearly, and are comfortable asking for or offering help when needed.
• You are motivated to actively contribute to integrating your work into the HarfangLab product.

What We Offer
Our Office and Team Culture

• Offices located in the heart of Paris, near Bourse (75002),
• High-performance equipment tailored to your needs and preferences (Mac/PC, additional screens),
• Thanks to our Office Manager, events regularly take place such as seminars, themed evenings, and more,
• An onboarding process to welcome each new colleague with an explanation of the roles within the different teams of the company and a mentor to guide you during your early days.

Compensation & Benefits

• Total compensation: €44-54K + profit sharing
• Health, well-being & sport: Alan insurance + Alan Mind mental wellness app + Egym subscription, covered at 80% by HarfangLab,
• Meal vouchers: Swile card + access to an employee benefits platform.
• Paid time off: 25 days annual leave + 8-11 RTT days.
• Professional growth: Access to training programs and industry events tailored to your needs.

About Vibe
At Vibe.co, we're reimagining how brands reach audiences in the age of streaming. We believe streaming TV is no longer just a brand awareness play, it's the next great performance marketing channel. We're building the infrastructure to unlock this $100B opportunity.

Vibe.co provides an Audience First Streaming TV Advertising solution for marketers to unlock TV as a growth channel. Our all-in-one solution combines hyper-targeted audience segmentation, AI-powered insights and recommendations, real-time campaign optimization, and incrementality measurement, giving brands of all sizes the precision and transparency they've come to expect from social and search, but on TV.

Trusted by over 10,000 brands, Vibe.co reaches more than 120 million households across 500+ apps and channels, delivering an average 250% return on ad spend and 20% sales lift. The company hit a $100 million revenue run rate in under two years, ranking among the ten fastest software companies to reach that milestone.

Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia, Singular, QuantumLight (Revolut CEO Nik Storonsky's fund), and Illusian (Supercell CEO Ilkka Paananen's fund), as well as angel investors including Carolyn Everson, board member of The Walt Disney Company and Coca-Cola. Nirav Tolia, CEO of Nextdoor, sits on the company's board of directors.

Founded in 2022, Vibe.co is widely recognized as the category-defining platform in streaming TV advertising, bringing the power of Meta and Google-style performance marketing to the fastest-growing segment in media.

About The Role
Data isn't a support function at Vibe — it's the fuel behind every decision the platform makes, from which ad to show to how we measure its impact. You'll join the Data Platform team and lead the Identity squad, the group responsible for attaching every event Vibe observes to a real identity: the foundation for targeting, measurement, and the training data our models learn from. This is a player-coach role on a small, high-leverage team — you, a staff software engineer, and an ML engineer — and it exists because identity resolution at Vibe's scale has outgrown ad hoc ownership and needs someone who can both push the algorithms forward and set the technical direction. You'd want this job because you'll own one of the hardest, most consequential problems in the stack end to end; because you'll stay hands-on with clustering and entity resolution at real US scale rather than managing from a distance; and because you'll shape how identity evolves as the industry moves toward a privacy-first world.

What You'll Do

Technical Leadership

• Set the technical direction and roadmap for Vibe's identity stack end to end
• Design and build clustering algorithms and pipelines that resolve identity at US scale
• Make architecture decisions that scale economically and quantify their impact
• Anticipate scaling pain before it turns into an incident
• Drive systematic improvements to identity resolution accuracy

Reliability, Scale & Cost

• Build observability into identity pipelines with meaningful alerts and healthy SLOs
• Profile and optimize compute and storage across Dagster, Spark, and Iceberg
• Treat infrastructure spend as a first-class engineering concern

Expanding the Stack

• Extend identity capabilities into richer audience construction and attribution
• Build platform-level tooling so every team can resolve identity behind their events
• Design identity approaches built for a privacy-first future

People & Partnership

• Lead the squad's senior engineer through 1:1s, feedback, and career development
• Represent identity in cross-team Data Platform roadmap decisions
• Translate ambiguous stakeholder requests into concrete technical deliverables
• Push back on requests where the right call is "not yet" or "not this way"

What You Need

• 8+ years building and operating production ML or data systems, including leading technical work as a tech lead, staff engineer, or team lead
• Hands-on experience with large-scale entity resolution, clustering, or graph problems, with the ability to own and challenge the algorithms themselves
• Strong distributed-systems foundations across a modern orchestrator (e.g. Dagster), distributed compute (e.g. Spark), and large-scale storage (e.g. Iceberg)
• A track record of building evaluation frameworks and using them to drive measurable algorithmic improvements
• Experience managing performance and cost at genuinely large data scale
• Strong cross-functional communication, with the ability to adjust detail level by audience and align stakeholders with conflicting priorities

Nice to Haves

• Experience in streaming TV advertising or programmatic advertising

Our Values

At Vibe, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions.

You'll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort.

This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with real ownership over hard problems in a market that's moving fast.

If that sounds like the best version of your career, we want to meet you.

What We Offer

Pour les candidats basés en France, la rémunération est déterminée en fonction du marché local.

Chez Vibe, Nous Voulons Que Vous Construisiez Quelque Chose, Possédiez Quelque Chose, Et Progressiez Vite. Voici Comment Nous Le Prouvons

• Variable pay — based on objectives you hit. No arbitrary targets.
• Hybrid flexibility — We're in the Heart of Paris and our team is in 3x a week!
• Health insurance — Full coverage via Alan.
• Meal vouchers — Via Swile.
• Annual offsite — The whole team, once a year, somewhere worth the trip.
• Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide.

Our Interview Process

• We respect your time. Here's exactly what to expect — no surprises, no ghosting.
• Recruiter screen — 30 min. We'll share context; you'll share yours.
• Manager interview — Meet the person you'd work with directly.
• Take-home assignment + live debrief — A real problem, not a trick. We'll work through it together.
• Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.
• Offer — Fast. We don't let good decisions sit.
• Reference checks — Two calls, handled with discretion.

Equal Opportunity

Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.

Referral Instructions

Being referred? Ask your contact to submit your application directly on your behalf.

Position description

Business unit

Operations, Data & IT - IT & Digital

Job title

AI Technical Expert F/M

Contract type

Permanent

Candriam Group Presentation

Candriam is a global multi-specialist asset manager and a recognized pioneer and leader in sustainable investment. For more than 25 years, Candriam has offered innovative and diversified investment solutions across many asset classes including fixed income, equities, absolute return , asset allocation and illiquid assets.

As a Responsible Employer, Equal Employment Opportunity is crucial to Candriam. We are committed to building the best global team that represents a variety of backgrounds, perspectives, and skills. We provide an inclusive work environment and support wellbeing and work-life balance.

Mission

The AI Technical Expert will join the Transformation and Innovation Team, which plays a transversal role across Candriam’s organization.

The team is responsible for:

• Driving strategic transformation initiatives across IT and Business domains
• Accelerating innovation and fostering a culture of continuous improvement
• Identifying, prioritizing, and developing high-value automation and AI use cases
• Ensuring strong alignment between technology solutions and business strategy

The team acts as a catalyst between Business Units and IT Domains, ensuring that AI initiatives deliver measurable business value while fully complying with Candriam’s security, governance, and regulatory standards.

Within this context, the AI Expert will strengthen the team’s internal artificial intelligence capabilities, contribute to the definition and execution of the AI roadmap, and support the responsible, secure, and scalable adoption of advanced analytics, automation, and generative AI solutions across the organization.

Responsabilities

• Design, implement, and maintain AI/machine learning solutions.
• Consume existing APIs and develop robust APIs and microservices supporting business applications.
• Work closely with business teams to identify high-value use cases and translate them into technical solutions that deliver measurable impact.
• Ensure that solutions respect security, data privacy, compliance requirements and Candriam Standards and Policies
• Stay up to date with emerging AI technologies (including generative AI) and assess their potential for business adoption.
• Actively contribute to Candriam’s AI Community of Practice and help foster knowledge sharing, best practices, and cross-team collaboration.

Profile

Profile & Education

• Master's degree in Information Technology, Computer Science, Engineering, or a related field (or equivalent university degree).
• Fluency in French and English is required;

________________________________________

Experience
We are open to different levels of seniority depending on expertise and impact potential.

You bring:

• Proven experience as a Developer, AI Engineer, Data Engineer, ML Engineer, or Agentic AI specialist.
• Strong understanding of Asset Management and financial products (e.g., funds, portfolios, risk metrics, performance analysis).
• Experience working in Agile environments (Scrum, SAFe, or similar) and contributing to digital transformation initiatives within complex organizations.

________________________________________

Technical Skills

• Strong programming capabilities in Python and/or another modern language (e.g., Java, Scala, C#, etc.), with production-grade coding standards.
• Hands-on experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, LangChain, etc.).
• Experience designing and consuming APIs, and building microservices-based architectures.
• Familiarity with cloud platforms (Azure, AWS, GCP), MLOps tooling, and CI/CD pipelines.
• Exposure to Power Automate or similar workflow automation tools is a plus.
• Good understanding of data security, privacy, and regulatory requirements in financial services.

Job location

Candidate criteria

Education

• Master's Degree II / Bac+5

Minimum Level Of Experience Required
2-5 years

Languages

• English (C1 - Fluent)
• French (C1 - Fluent)

Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion.

Our mission is simple: make circular fashion the norm, not the exception.

Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way.

Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US.

Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry.

Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day.

About The Role
We are seeking a
Foundational Machine Learning Engineer
for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and spearhead the MLOps strategy with our Director of Data, prioritizing system maintainability, engineering hygiene, and the reliable deployment of complex models, ensuring all our ML models across the board deliver high-throughput, low-latency business impact.

What You Will Do

• Short-Term Impact (First 6 Months): Partner closely with the Operations squads and Data Scientists to accelerate ML and RAG prototypes into resilient, production-ready code. You will directly integrate with the team to deploy, optimize, and scale heavy-width CV and VLM models focused on fraud detection and luxury product authentication, immediately improving our trust and safety ecosystem.
• Mid-Term Foundation (MLOps Lifecycle & Infrastructure): Lead the end-to-end foundational groundwork of our ML lifecycle by designing robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring. You will scale infrastructure by automating continuous retraining pipelines that handle diverse deployment cadences (from daily fraud detection to weekly recommendations), design resilient multi-model architectures, and critically evaluate the technical overhead and TCO of our in-house tools against enterprise-grade platforms to ensure long-term resilience.
• Long-Term Vision (Centralizing 360-Degree MLE Capabilities): Act as a pioneer and cornerstone hire for the ML engineering discipline at Vestiaire Collective, setting the technical standards to help scale the AI/ML organization. You will transition into a centralized foundational role, moving beyond single-squad operations to mentor the team and provide horizontal ML infrastructure support to multiple domains, including Search, Discovery, Pricing, Marketing, and Data Platforms.

Who You Are
Must-Haves:

• Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and productionizing ML systems.
• Production Infrastructure: Proven expertise in deploying low-latency, high-throughput ML inference services (using FastAPI, TorchServe, Triton Inference Server, or Ray Serve) across both classical lightweight and heavy-width ML models (PyTorch/TensorFlow). Strong preference for AWS (EKS, EC2, SageMaker) / Snowflake and Open Source ecosystems over GCP/Azure.
• MLOps & Pipelines: Deep experience building automated, continuous model retraining pipelines to handle concept drift (ranging from daily to weekly cycles). You have orchestrated decoupled, multi-model AI architectures using tools like Airflow, Kubeflow, or Metaflow, and possess strong expertise in model registry and tracking tools like MLflow or Weights & Biases.
• Feature Stores: Hands-on experience evaluating, building, or extensively leveraging online (Redis, DynamoDB) and offline (Snowflake, S3) Feature Stores in a production environment. Familiarity with frameworks like Feast or custom dbt-based pipelines is highly valued.
• Strategic Builder Mindset: You are an analytical builder who thinks long-term. You can successfully evaluate TCO for bespoke internal systems versus enterprise tools, anticipate technical liabilities, and design robust architectures that handle unpredictable peak traffic surges.
• Collaboration & Engineering Hygiene: Strong cross-functional communication skills. You excel at translating complex ML prototypes into highly scalable production code backed by strict version control, rigorous testing, and CI/CD best practices, seamlessly connecting data science innovation with backend engineering execution.

Nice-to-Haves:

• Relevant Domain Expertise: Background in E-commerce, Single-SKU Marketplaces, Search & Recommendation, Trust & Safety, or Counterfeit Detection.
• Vision, Edge & Optimization: Hands-on experience with Vector Databases, Visual RAG pipelines, deploying Deep Learning VLM models, and optimizing models for edge computing or low-latency inference (e.g., ONNX, TensorRT).

Infrastructure & Observability:
Advanced experience with containerization (Docker, Kubernetes), Infrastructure as Code (Terraform), and data transformation workflows (dbt). Familiarity with setting up advanced monitoring for model performance, concept drift, and system health (Datadog, Prometheus).

What We Offer

• Purpose-driven work at scale Join a company reshaping the fashion industry towards circularity, you directly contributes to reducing waste and extending the life of luxury items
• High-impact scope & ownership Work on products used globally, where your decisions have immediate, measurable impact on millions of users across 70+ countries
• A truly international environment Collaborate with a diverse team of 50+ nationalities across Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City
• Career acceleration in a fast-moving scale-up Take ownership early, grow fast, and shape your path, as an expert or a future leader
• Learning & growth as a priority Dedicated budget, continuous feedback culture, and opportunities to work on cutting-edge topics (AI, marketplace dynamics, scalability, etc.)
• Flexible ways of working Hybrid model (typically 2 days remote per week), with trust and autonomy at the core of how we operate
• Give back through action 2 paid days per year to support a cause of your choice and actively contribute to positive impact beyond your day-to-day role
• Competitive compensation & benefits Including bonus, health coverage, lunch vouchers, Gym-Pass, and additional legal perks depending on your location

Research shows that candidates from underrepresented backgrounds including women, people with disabilities, and other marginalized communities, are less likely to apply unless they meet 100% of the criteria.
At Vestiaire Collective, we believe diversity drives better decisions, stronger products, and more meaningful impact.
If this role excites you but your experience doesn’t align perfectly, we still encourage you to apply, your perspective could be exactly what we’re looking for.
Vestiaire Collective is proud to be an equal opportunity employer.
PS: We take candidate experience seriously, and your safety too !

Vestiaire Collective will only contact you through official email addresses ending in
@vestiairecollective.com
or
no-reply@hire.lever.co
.

We will never:

• Contact you via WhatsApp, Telegram, or similar platforms
• Ask for payment or banking information at any stage of the process

If you receive a suspicious message, please report it to:
talentacquisition@vestiairecollective.com
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.