BUILD ML MODEL THAT CAN REDEFINE THE NORMAL!
Looking for talented engineers to help us create artificial intelligence products - who enjoy diverse and difficult engineering challenges – especially in computer vision. You will be tasked to build and train machine learning models, and deploy production ML solutions in larger ecosystems. To succeed in this fast-tracked role, you will need to learn about devops, production software development & architecture, and how to be responsible for a project and - eventually - for a team.
KEY RESPONSIBILITIES
- Designing and developing machine learning and deep learning systems
- Running machine learning tests and experiments
- Study and transform data science prototypes
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Deploy applications in new or legacy application ecosystems – often as add-ons
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
PERSON SPECIFICATION
- You are never satisfied with your code quality and are eager to learn more about writing clean code and designing good architectures.
- You love taking on responsibility, working independently. Without any bureaucracy.
- Ability to write robust code in Python, Java and R.
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- You have 0-1 years of software development experience and are very familiar with Python.
- Familiarity with tools to deploy production ML solutions (Docker, Kubernetes, AWS, Prefect, MLFlow,Seldon, Dask, etc.)
- You have experience in deploying solutions to production.
- You are an excellent communicator.
- You studied Computer Science – majoring in machine learning. We relax this requirement if an applicant can demonstrate a strong portfolio in ML.
WHY IT'S FUN + EXCITING?
You will never be bored and ingrain yourself as a part of a fun start-up culture. This role was created to facilitate the birth of a revolutionary open-source software system and other commercial applications where you will be able to explore the total business, solution, and experience cycle of your creations.
WORKING HOURS
Due to working with partners in different time zones and culture, the incumbent is expected to work from Sunday to Thursday in a calendar week from 10.00 AM to 06.00 PM. Work is now resumed on-site as COVID-19 restrictions are relaxed.
How to apply?
- Step 1: Fill out our Jr. ML Engineer questionnaire
- Step 2: Receive email on and take part in an ML engineering challenge where you will be asked to develop an ML solution
- Step 3: Interview with management (during November 2021) where you will be asked to demonstrate the solution
- Step 4: Offer to successful applicants