Data scientist

Lambdanalytique is looking to expand!

We’re a fully funded startup. We truly believe that it’s our team that drives this company and its success so far, and we are looking for talents to join us. We want people who encompass our values of being self-driven, authentic, and interested in pushing the envelope of AI/deep learning.


We believe in the change we can bring with our technology. Our technology is on the forefront of AI and deep learning with real world application. We work together with video game companies to leverage AI to automate game arts generation. Our products are in image generation sector.

Our team consists of people with a variety of backgrounds who enjoy leading initiatives and are self motivated (besides trusting you with the work, we don’t believe in clocking people’s hours, we offer flexible office hours), hungry to learn more (we are happy to support and pay for that too!), are team players (we love doing team activities like micro-brewery sampling), and are passionate in seeing how we can change the world together.


Train, test, and validate computer vision deep learning models.

Design, develop, and maintain the data pipelines that power our real and synthetic data pipelines in our products and services.

Work with the Data Science and ML engineering teams to design, develop, and deploy ML models.

Monitor data quality and integrity

Deploy deep learning models on the edge platforms

Optimize data pipelines and ML models for performance and efficiency


Background in Computer Science/Software Engineering (or strong experience working as a software developer)

Excellent knowledge of Python

Two years of experience in deep learning and computer vision

Experience in building, testing, training, and deploying production-ready ML workflows

Experience with deploying deep learning models on edge or in the cloud

Experience with databases such as SQL, NoSql

Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch, CUDA)

Cross-team solid communication and collaboration skills

Preferred qualifications

Experience with generation models such as GAN or diffusion model


We offer a competitive salary, vacation, and a comprehensive benefits package (including extended health, vision, and dental).

Can be 100% Remote, just benefit from work from home to achieve work life balance.

If you are interested and passionate about doing things that really matter send us your resume and join us on this amazing journey.

Job Type: Full Time

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