Offer summary

Qualifications:

Proven experience in developing, training, and deploying machine learning models., Strong proficiency in Python and relevant libraries such as Pandas, Transformers, and FastAPI., Familiarity with natural language processing and large language models., Experience with tools like Elasticsearch, Git, Docker, Kubernetes, and MongoDB..

Key responsibilities:

Develop and maintain components of the semantic search engine and recommendation systems.

Perform data preprocessing and cleanup to ensure high-quality input for ML models.

Collaborate with team members to integrate ML solutions into the platform.

Participate in brainstorming sessions to pitch and develop innovative ideas for the product.

Job description

Due to the extraordinary variety of goods and better pricing structure in US e-commerce, global shopping in US retail markets has been popular for many years now. However, this industry is mostly used by a handful of tech savvy users, who understand how e-wallets, VPN’s and other technologies work, enabling them to buy overseas. We are building this platform, so the remaining majority of global shoppers are also able to gain access to the vast online shopping sites in the USA.

We are looking for strong mid-level or senior ML engineer. Your salary will depend on your knowledge and seniority level:

As a ML engineer you will work with various components of the system including but not limited to:

Semantic search engine
Product and service recommendations
Data preprocessing and cleanup

We expect you to have real-world experience developing, training and deploying ML models. The technology stack we use:

Python and libraries (Pandas or Polars, Transformers, Fastapi)
Natural language processing (NLP)
Large language models (LLM)
Elasticsearch
Git, Docker, Kubernetes
MongoDB
Azure

Salary

Gross salary from 5,000 EUR based on skills and experience.

Location

Work from anywhere - see you online. We have offices in old-town Vilnius when you need or feel like coming in.

What about perks?

Outgrow your role. Join other initiatives. Build your skills and test your strengths.
Learn. All the time. Would you like to attend conferences or take paid training? There is a budget for that.
We will not let you become obsolete. But whatever you do - give it your best.
Pitch your ideas about anything. We build startups! Let’s build yours together.
Work hard, play hard. Adrenaline junkie or zen. Or a casual all-nighter in the city.
Take time off. Even if you don't - still do. Don’t feel bad about taking a day with a same-day notice. We have all been there. Just be respectful of your responsibilities and to your team.
Additional health insurance. Take care of yourself. It just makes sense.

About Us

We build cool stuff and have fun doing it. Adroiti is a stack-agnostic technology incubator company. Founded a decade ago, we wondered a lot, built a lot, and learned a lot. We are a diverse group of 90+ engineers, artists, facilitators, avatars and entrepreneurs, empowered by technology. We aim to build disruptive, meaningful, and incremental innovations. We are informal, and we relish adaptive work culture.

Required profile