Team Lead Backend Engineer - Data & ML Ops services (Data Engineering Team)

Your Missions

Lead a team of four to:

• Design and build scalable applications for Monk ML Engineers to facilitate common tasks such as:

• Training, running, and evaluating machine learning models

• Retrieving, transforming, and storing data

• Engage with ML Engineers to identify and address bottlenecks and pain points in the R&D processes.

• Define ML ops best practices to help scale the data infrastructure.

• Champion a data-centric approach to leverage all our unstructured and structured data, including active learning, confident learning, and dataset iteration. Help avoid common ML issues (e.g., under-specification, fruitless model fiddling) and work on the critical lever of high quality data.

• Integrate and balance the needs of multiple stakeholders and constraints, including algorithm performance, quality of life for ML scientists, and cost-efficiency of labeling and infrastructure.

Required Skills

• Extensive experience in backend and software engineering, building scalable backend applications.

• Strong theoretical and practical experience in Python.

• Ability and enthusiasm for leading by example and working within a small team. Proficiency in SQL and NoSQL databases, with the ability to use them effectively.

• Engineering skills related to data-intensive applications, including scalability, reliability, robustness, and observability.

• Team Lead Backend Engineer - Data & ML Ops services DataEng Team) 1

• A mindset for data-oriented decision-making, with an obsession for measuring results and acting on data.

• A general understanding of Deep Learning Models and the constraints related to building and using them at scale.

• A good level of English proficiency.

Our Company Stack

• Backend: Python, Flask, Rabbitmq, OpenAPI

• Databases: SQL Postgres with sqlalchemy, BigQuery with DBT

• Infrastructure: GCP, Kubernetes, CircleCI

• ML: Python, Torch, ClearML

• Frontend: JS, TS, React

Contract:

• Type of contract : CDI

• Salary : €80,000.00 -€100,000.00 -base & performance bonus & RSU’s

• Location : Paris, France (Hybrid)

Benefits

At Monk, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—You. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

• We have great benefits including :

• Hybrid work environment: possibility of being in mostly remote or working in the office Restaurant tickets with Swile and sport via Gymlib

• Fair and competitive compensation

• Health Insurance with Alan

• Annual Hackathons with some amazing prizes!

• The premises are at WeWork Marais: the ecosystem is top notch and super dynamic.

The team boasts a strong engineering core, with members hailing from different institutions such as Ecole Polytechnique, CentraleSupélec, and many renowned universities, supported by AI experts including professors from l’X and PhDs from ENS.

We want you to feel comfortable being yourself at work every day. We accept you for who you are and consider everybody, on an equal opportunity basis, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you submit an application, Monk collects your personal data for the purposes of managing Monk’s recruitment related activities. Consequently, Monk may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to Monk and its affiliated entities across the world. By submitting your application, you expressly give your consent to this use and processing of your personal data.

Preferred Qualifications

• At least 5 years of experience in back-end development

• A minimum of 2 years as a tech lead, team lead, or product owner

• Master’s Degree (or higher) in Computer Science, Mathematics, Physics, or a related field

Interview process

• Fit interview (30min)

• Technical Interview 1 (1h)

• Technical Interview 2 (1h to 1h30)

• C-level interview (30 min)