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Tech Lead ML Engineer H/F

Company Description

Devoteam est un leader du conseil en stratégie digitale, plateformes technologiques, cybersécurité et business transformation.

Avec 10 000 collaborateurs en Europe, Moyen-Orient et Afrique, Devoteam accompagne les entreprises en mettant depuis plus de 25 ans la Technologie au service de l’Homme.

Devoteam Innovative Tech France accompagne nos clients dans leurs stratégies de modernisation de plateformes en s'appuyant sur les plus grands Cloud providers du marché et sur des technologies modernes innovantes. 

Notre communauté  

  • + de 1000 collaborateurs experts de leur domaine répartis sous forme de Tribes et Squads, travaillant sur des projets multi-cloud et cloud hybride impactants

  • Des expertises techniques liées aux enjeux du secteur IT : Hybrid Platform, Cloud & DevOps Platform, FinOps & Agile@scale, Project et SysOps Automation 

  • Un environnement technologique stimulant, à travers nos partenaires : Gitlab, OVHcloud, VMware, SUSE, Dynatrace, Hashicorp, VEEAM, etc.

  • Une vraie communauté de Tech enthousiastes qui partagent leurs savoirs : événements, Friday Talks sur des sujets techniques, rédaction d'articles... 

Pour en savoir plus sur nos trajectoires de carrière, découvrez le parcours de Nesrine !

Job Description

Vos principales responsabilités en tant que Tech Lead - ML Engineer 

Voici une liste non exhaustive de vos missions au quotidien, nous vous faisons confiance pour les prendre en main et les enrichir à votre façon 😉

  • Leader le développement et l'amélioration des modèles de Machine Learning, ainsi qu’aux évolutions de plateformes de mise à disposition de LLMs.

  • Optimiser la démarche de mise en production: créer et déployer des pipelines de données robustes pour les data scientists et data analysts (collecte, stockage, transformation et exploitation)

  • Accompagner les Data Scientists dans le cadre du processus de développement ML (conception, mise en œuvre et gestion) afin de vous assurer que les solutions sont reproductibles, testables et évolutives 

  • Collaborer avec les parties prenantes (spécialistes métier, domain managers, architectes, data scientists) pour faire évoluer les solutions

  • Etre responsable de la mise en œuvre des principes MLOps en vous appuyant sur les bonnes pratiques de la data science et du développement de logiciel (intégration continue, déploiement continu, monitoring, gestion des modèles, testing, versioning, reproductibilité).

  • Coacher, mentorer et coordonner les équipes, promouvoir les bonnes pratiques et piloter la veille technique et technologique. 

Où réaliserez-vous vos missions ? Chez des clients grands comptes de la banque, de l’assurance, de l’industrie, du retail de la Défense, du luxe ou encore de l’énergie, porteurs de projets innovants.

Selon les projets, voici les technologies que vous serez amené.e à rencontrer :

  • Langages de programmation : Python, Java

  • Frameworks: Pandas, Keras, Tensorflow, Scikit-Learn, Numpy, Pyspark

  • Plateformes: Databricks, Kafka, Spark

  • DevOps et CI/CD : GitLab, Jenkins, Sonar, GitOps, Kubernetes, Docker

  • MLOps et Big Data : Airflow, ML Flow, MLOps

  • Bases de données : PostgreSQL, Oracle, ElasticSearch, MongoDB

  • Systèmes d'exploitation : RedHat

 

Qu’implique le rôle de Tech Lead en interne?

  • Animer une communauté interne de ML engineers: assurer une veille et leur garantir une projection en termes de trajectoire de carrière

  • Participer aux avant-ventes en appui aux commerciaux pour faire rayonner nos offres

  • Prendre part aux missions de recrutement et de validation de compétences

  • Co-construire avec le Squad Leader et autres TLs la trajectoire de la squad et son évolution

Qualifications

Ce que vous apporterez à la Tribu ?

[Les compétences idéales] 

De formation supérieure en école d'ingénieurs ou université, vous avez acquis au moins 10 ans d’expérience dont 5 sur des projets de Machine Learning (supervisés et non supervisés) en production.

Vous avez déjà pu acquérir une expérience en tant que Tech Lead ou avez déjà managé une équipe. Vous avez développé une forte capacité à collaborer avec des architectes, data engineers, data scientists etc. pour mener à bien la fabrication de solutions tout en garantissant la qualité.

D’un point de vue technique, vous disposez des compétences suivantes:

  • Design, développement et implémentation de solutions techniques

  • Maîtrise des pipelines ML, de la conception à la production.

  • Excellentes compétences en Python.

  • Expérience de déploiement de Large Language Models et l'écosystème LLMOps

  • Maîtrise des bonnes pratiques de développement (design patterns, craftsmanship, industrialisation de code, tests..) et le Data Engineering

  • Capacité à concevoir des architectures micro services

 

[Cherries on the cake🍒]

  • Expérience pratique avancée sur un cloud provider (AWS/Azure/GCP).

  • Bonne compréhension des enjeux liées aux Expérience DevOps (Kubernetes, Docker, CI/CD), et d'infrastructure as code (Terraform, Ansible, etc.)

 

Et qu’est ce que Devoteam vous offre en échange?

  • Un CDI, pour se projeter ensemble sur le long terme

  • Un salaire attractif en lien avec votre expérience et les tendances du marché

  • Une base de travail en Ile de France et un accord télétravail permettant une meilleure flexibilité 

  • Des avantages comprenant mutuelle, prévoyance santé, CSE, mais aussi des compensations de vos frais internet et installations relatives au télétravail

  • Des challenges organisés tout au long de l’année avec de très jolis gains (voyages, matériels technologiques, accès à des événements….)

  • Un plan de carrière personnalisé avec des formations et certifications en lien avec votre trajectoire en bénéficiant des cursus, labs, formateurs du premier partenaire AWS en France

  • De multiples possibilités de mobilité, géographique mais aussi inter communauté, vous permettant d’évoluer en fonction de vos appétences technologiques ou métier mais aussi selon des projets plus personnels 

  • Un esprit de communauté fort autour de vos technologies de prédilection, au travers d’événements internes vous permettant d’interagir, célébrer et continuer d’apprendre

  • Une réelle possibilité de rayonner et partager vos connaissances et votre vision par le biais de conférences, meetups ou articles 

  • Plus de 30 clubs Happiness@Devoteam qui te permettent de partager et laisser libre cours à tes passions (running, art, football, musique, gastronomie, yoga, …)

 

Intéressé.e 🙋‍♀️🙋‍♂️?

N’attendez plus et postulez à l’offre !

Additional Information

Comment se déroule le processus de recrutement chez Devoteam ?
- Talent Acquisition Interview : l'objectif est de faire le point sur vos compétences, votre niveau d'anglais et de valider vos éléments de motivation 
- Tech & Business Interview : cet entretien vise à approfondir vos compétences techniques et à vérifier leur adéquation avec nos besoins lors d'un échange avec un expert métier
- Leadership Interview : il permet d'évaluer votre potentiel, vos ambitions et d'envisager votre évolution au sein de Devoteam.
Nous privilégions au moins un entretien en présentiel. Une prise de référence est demandée et, selon votre profil, des tests (techniques, anglais, personnalité...) peuvent vous être adressés.
Si votre candidature est retenue, nous vous faisons parvenir une proposition présentant les conditions d'embauche. En cas d'acceptation, le contrat de travail est formalisé.

Le Groupe Devoteam oeuvre pour l'égalité des chances, pour la promotion de ses collaboratrices et de ses collaborateurs au mérite et lutte activement contre toute forme de discrimination. Nous sommes convaincus que la diversité contribue à la créativité, au dynamisme et à l'excellence de notre organisation. Chaque candidature est donc considérée indépendamment de tout critère discriminatoire.

Average salary estimate

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What You Should Know About Tech Lead ML Engineer H/F, Devoteam

Are you ready to take your career to the next level? Devoteam is on the lookout for a talented Tech Lead ML Engineer to join our innovative team at our Levallois-Perret office. As a Tech Lead ML Engineer, you will be at the forefront of developing and enhancing machine learning models, alongside improving the deployment platforms for Large Language Models. You won't just be writing code; you'll optimize data pipelines for data scientists and analysts, ensuring that each step from data collection to transformation is both robust and efficient. Collaborating closely with various stakeholders, including Data Scientists and domain managers, will be pivotal in evolving solutions that meet client needs. Your role will combine technical excellence with leadership — mentoring and guiding a community of ML engineers, promoting best practices, and ensuring we stay ahead of the technological curve. At Devoteam, every project presents an opportunity to learn and grow, particularly within sectors such as banking, insurance, retail, and luxury. The technologies you’ll work with are cutting-edge, including Python, Kafka, Kubernetes, and more. Devoteam fosters a stimulating environment where creativity meets high-quality standard practices, helping you develop your career long-term while contributing to impactful projects. If you’re passionate about tech and eager to lead, we want to hear from you!

Frequently Asked Questions (FAQs) for Tech Lead ML Engineer H/F Role at Devoteam
What are the responsibilities of a Tech Lead ML Engineer at Devoteam?

As a Tech Lead ML Engineer at Devoteam, your responsibilities include leading the development and optimization of machine learning models, deploying robust data pipelines, and collaborating with data scientists to ensure scalable and effective solutions. You will also implement MLOps practices and mentor junior engineers, contributing to a tech-savvy community.

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What qualifications do I need for the Tech Lead ML Engineer position at Devoteam?

To be a Tech Lead ML Engineer at Devoteam, you should have a higher education in engineering or a related field and at least 10 years of experience, with 5+ years focused on machine learning projects. Experience in leadership, knowledge of MLOps, and proficiency in programming languages such as Python are also essential.

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What technologies does the Tech Lead ML Engineer at Devoteam work with?

As a Tech Lead ML Engineer at Devoteam, you will work with diverse technologies, including Python, various frameworks like TensorFlow and Keras, along with databases like PostgreSQL and cloud providers such as AWS, Azure, or GCP. Your role will involve using tools for CI/CD and MLOps to streamline deployments.

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What kind of projects will I be working on as a Tech Lead ML Engineer at Devoteam?

At Devoteam, Tech Lead ML Engineers engage with high-profile projects across multiple sectors, including banking, insurance, retail, and more. You’ll lead innovative initiatives that push technological boundaries while enhancing business transformation for our clients.

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How does Devoteam support career growth for Tech Lead ML Engineers?

Devoteam is committed to fostering career growth for Tech Lead ML Engineers through personalized career plans, access to training and certifications, and opportunities to participate in industry events, ensuring you remain at the forefront of technological advancements.

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Common Interview Questions for Tech Lead ML Engineer H/F
Can you describe your experience with machine learning projects?

When discussing your experience, focus on specific projects you've led or contributed to, outlining your role in designing and deploying machine learning models and the technologies used. Highlight the impact these projects had on business outcomes or technical advancements.

Join Rise to see the full answer
How do you ensure the quality and scalability of your machine learning solutions?

Emphasize your approach to incorporating best practices such as version control, testing, and the use of MLOps principles. Mention how you collaborate with your team to maintain quality and scalability throughout the development process.

Join Rise to see the full answer
What is your leadership style when mentoring junior ML engineers?

Describe your hands-on mentoring approach, focusing on fostering an environment of open communication, providing constructive feedback, and setting clear expectations. Highlight how you encourage junior engineers to contribute their ideas and solutions.

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Can you give an example of a challenging ML problem you've solved?

When providing an example, detail the problem, the solution you proposed, and the outcomes. Address the techniques or methodologies used and how you collaborated with your team or stakeholders to resolve the issue effectively.

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How do you stay updated with the latest trends and technologies in machine learning?

Explain your strategies for continual learning, such as attending conferences, reading research papers, participating in workshops, or being part of professional networks. Highlight the importance of staying informed to maintain a competitive edge.

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What tools and frameworks are you most proficient in for ML projects?

List the tools and frameworks you have expertise in, such as TensorFlow, Scikit-Learn, or Keras. Discuss how you've used these tools in past projects to achieve success and the importance of choosing the right tool for each task.

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How do you approach data pipeline optimization?

Describe your methodical approach to optimizing data pipelines, focusing on data collection, transformation, and storage. Discuss specific techniques you’ve utilized to enhance performance and reduce bottlenecks.

Join Rise to see the full answer
What is your experience with CI/CD in machine learning projects?

Share your understanding and experiences in implementing CI/CD practices in ML projects, such as automation of testing, deployment, and monitoring. Explain how this contributes to more efficient workflows and higher-quality outputs.

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How do you manage stakeholder expectations in ML projects?

Discuss your strategies for effective communication, setting realistic timelines, and delivering frequent updates to stakeholders. Emphasize the importance of transparency and collaboration in meeting their needs.

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Why do you want to work at Devoteam as a Tech Lead ML Engineer?

Express your enthusiasm for the role and the values of Devoteam, citing specific aspects such as commitment to innovation, collaborative culture, and opportunities for career development that resonate with your personal and professional goals.

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Founded in 1995 and based in Ill-de-France, France, Devoteam is a leading consulting firm focused on digital strategy, tech platforms and cybersecurity. By combining creativity, tech and data insights, we empower our customers to transform their b...

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Full-time, hybrid
DATE POSTED
March 21, 2025

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