Machine Learning Operations

Job title:

Machine Learning Operations

Company:

Assess First

Job description

AssessFirst opère depuis 2002. Ils ont débuté en se positionnant sur le segment de l’évaluation comportementale. Aujourd’hui, ils sont le leader du recrutement prédictif basé sur l’analyse du potentiel.
Leurs clients évaluent des centaines de milliers de personnes chaque année avec pour objectif de recruter des collaborateurs incroyablement performants et extraordinairement engagés.Ils sont convaincus que le potentiel d’une personne est bien plus puissant et vecteur de succès qu’un simple CV ou qu’une école. Ce qui les intéresse, c’est de savoir “qui tu es” et ce que tu pourras faire plus que ce que tu as déjà fait.Et ce sont ces valeurs qu’ils transmettent aux entreprises du monde entier ! 🌍 (plus de 3500 dans une quarantaine de pays !)Descriptif du posteYour goal : Put AI at the heart of AssessFirst and supplement our existing knowledge.Your missions : You’ll be the backbone of our AI-driven infrastructure, ensuring that our machine learning models seamlessly transition from development to production. Your work will empower our Science and Engineering teams to deliver scalable, robust, and efficient AI solutions that redefine talent management.👉 To do this, you will have to:

• Automate ML workflows: Design and implement CI/CD pipelines tailored for machine learning, leveraging AWS services to streamline the process from data preprocessing to model deployment.
• Streamline deployments: Collaborate with ML Engineers to deploy models in production environments, ensuring scalability and minimal downtime using AWS tools like SageMaker or Lambda.
• Optimize infrastructure: Build and maintain AWS-based solutions to handle large-scale data and machine learning operations, ensuring cost efficiency and reliability.
• Monitor performance: Develop tools and processes to track the performance of models in production.
• Enable reproducibility: Create standardized workflows and versioning systems to ensure consistent model and dataset reproducibility.
• Foster best practices: Establish and advocate for MLOps standards across the company, guiding teams in adopting efficient workflows.
• Stay current: Keep up with advancements in MLOps tools and frameworks, particularly within the AWS ecosystem, to continuously improve our infrastructure.

Your future teamYou’ll be part of the Science team, led by Emeric (Head of Science), and work alongside Konrad (Psychometrician and AI Engineer), Jianqiu (Data Engineer) and Simon (Chief Product Officer).
This cross-disciplinary team thrives on collaboration, where behavioral science meets machine learning to deliver innovative solutions. You’ll also engage closely with the back-end team and product team to turn insights into reality.Find out what the team has to say on our !What we would need…

• Fluent in both English & French 🇬🇧🇫🇷 (requirement)
• Proficiency in Python and ML workflow tools (e.g., Docker, Kubernetes).
• Strong AWS expertise (SageMaker, S3, Lambda, ECS).
• Experience with CI/CD pipelines.
• Knowledge of data pipeline tools.
• Problem-solving mindset and collaborative spirit.

At AssessFirst, you’ll have the chance to:

• Build innovative solutions at the intersection of psychology, machine learning, and technology.
• Join a team that values creativity, collaboration, and curiosity.
• Be part of a company making a real difference in how people and organizations thrive.
• Have a direct impact on the products we build and the lives we touch.

What you would need ?

• Package 80K-95K per year
• Autonomy ! There is a lot of space in AssessFirst, but make sure to take it.
• A really dynamic environment – Be ware, you need to follow our fast speed rythme !
• Give meaning to your work ! Reminder: We have the ambition to transform the world of recruitment ! ✨
• Freedom: This is a full remote position, meaning you can work wherever you want from Europe !
• We offer horizontal or vertical career opportunities 🌟
• A Swile card with €10 per working day.
• Access to coworking spaces up to 5 times/month.
• A strong culture and events to get together: 2 seminars/year and incredible teambuildings!
• Partnership with “Choisir ma crèche”: nurseries all over France.

Our recruitment process1. You are in love with the job and the company2. You complete our questionnaires by applying3. Talent Acquisition Manager, will contact you4. 3 interviews max: with Emeric (your future manager), Tales (our current MLE) and finally Simon (CPO) & David our founder!5. Welcome to the team! 👏6. Go on, you need to apply now !🌍 Diversity and inclusion are part of our values and we encourage everyone to apply (even if you don’t meet 100% of the requirements) regardless of their gender, ethnicity, age or academic/career path.

Expected salary

€80000 – 95000 per year

Location

Paris

Job date

Sun, 19 Jan 2025 06:47:30 GMT

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