Senior Machine Learning Engineer

We are an 800+ strong team whose ideas underpin successful exits, IPOs, strong financial results and competitive advantages as well as novel processes, new business models and great user experiences. We focus on e-commerce, mobility, and transport & logistics, while always keeping an eye on emerging segments as well. We rethink processes, business models and architecture, not to mention tech stacks. This approach opens doors for our people to find their own ways and solutions and bring their own ideas to life, learning and advancing both within and across teams and departments. We say no to office politics and pointless meetings. We celebrate curiosity, experimentation, and passion beyond code. We are very open to people growing both within and beyond their teams and departments. And this is where we suggest starting today. Our Product & Innovation Unit's culture celebrates curiosity, experimentation, and passion beyond code. We offer a politics-free environment that encourages personal growth and cross-team collaboration. Our Product & Innovation Unit's culture celebrates curiosity, experimentation, and passion beyond code. We offer a politics-free environment that encourages personal growth and cross-team collaboration.Join our team in developing an LLM-based Customer Support Assistant aimed at improving support team efficiency by up to 50%. This solution is designed to help companies streamline their customer support operations and enhance productivity. We have already made progress in building the product, and your contribution would help us move forward more quickly. This position is currently open only for applications located in Lithuania. In this role, you will

Contribute to creating quality solutions and products for our clients

Accelerate your AI expertise by working shoulder-to-shoulder with experienced AI specialists

Bring engineering best practices to the current team environment

Contribute to decisions regarding the project roadmap

Make prototypes that quickly prove the feasibility of solutions

Design and implement solutions that meet client needs

What you will bring

Proven skills in Python programming

Proven experience in prompt engineering, model fine-tuning, working with embedding models, evaluations and implementing LLM observability best practices

Experience with commercially available APIs for content generation, embeddings, function calling, fine-tuning, etc., and proficiency in fine-tuning prompts for high-quality outcomes

High curiosity to stay up to date with the evolution of AI field

Knowledgeable in Linux and DevOps methodologies, including the use of Git, Jira, and Docker

Experience working in an Agile environment

Fluency in both Lithuanian and English languages

Experience in product development, as well as familiarity with related methodologies and mindset, would be considered a plus

What we offer

A working culture that is high performing, ambitious, collaborative and fun

Health insurance and a yearly training budget (local and international conferences, language courses), employee-led workshops

Flexible working hours

Unlimited WFH (work from home) policy

Extra vacation days: 2 after working at NFQ for two years and 4 after four years on our team

Bonus for referrals

For those who dream of traveling: WFA (work from anywhere) possibilities in NFQ - approved countries

Office perks and team activities