ML Engineer

Job Opportunity: ML Engineer

What We Offer

Join our thriving high-tech development business that is rapidly expanding, catering to a diverse clientele across Europe and North America.

We believe in synchronicity, but we also value flexibility. We're always eager to listen to your needs and accommodate them to the best of our ability.

Responsabilities:

Willing to take ownership of machine learning projects that include state-of-the-art solutionsParticipating in the research and design of new solutions and complex architecturesBeing proactive in proposing new tools, solutions, and methodologiesWorking with object trackers deployed in edge hardware, using the latest NLP models, building generative models for image and video, work with the latest libraries and frameworks (LangChain, Diffusers, TensorRT, etc)

Requirements:

Required tools: Python, Tensorflow, Docker, SQL, AWS (or GCP, Azure), Git
Experience in software development roles
Knowledge of popular machine learning techniques and algorithms
Experience in NLP, Computer vision, LLMs or Predictive Analytics
Advanced English
Good communication skills, proactive and eager to take on new challenges and learn new things
Good interpersonal skills and teamwork interest
Familiarity with Scrum or Agile methodologies


It's a plus:

Experience in Pytorch and DevOps, experience with Raspberry Pi or Jetson devicesExperience leading teams



Extra Points:

We highly value personal projects that highlight your technological prowess and ability to self-direct. We see these as shining examples of potential and initiative!
Excellent communication skills.
Desire to work in a multidisciplinary and cross-functional team.
 

Remuneration:

Compensation in US dollars as contractor.

This is a remote position, allowing you to work from anywhere.

If you are seeking a stimulating work environment, growth opportunities, and a team passionate about technology, look no further! Join 1950Labs and become a part of our success.

To apply, please submit your CV. We look forward to getting to know you and discussing how you can contribute to our team.