Q is an award-winning software development & design agency from Croatia, with offices in Switzerland, the UK, and the US.
We cover a full 360° product lifecycle, from a business idea to the final product, by offering a wide range of IT services. We've helped over 200 clients reach their goals, including Fortune 500 companies as well as the leading tech startups.
Our team consists of top-notch Developers, Project Managers, Product Strategists, Business Analysts, Designers, UX Experts, QA Engineers, and the Support Team. With a unique methodology, we integrate creativity, strategy, and technology in every project, while our people's expertise and experience can provide answers to even the toughest questions.
Whether you're developing a new product, running an online business, building a startup from scratch, or simply looking to expand your development team, Q will help you grow globally.
That is why our motto is:
"Whatever the Q, we got the A".
Opis posla
Are you a proactive, team-oriented, and motivated Data Scientist looking for your next challenge? We're always on the lookout for passionate individuals who share our values and are excited to make an impact.
We value a go-getter attitude, a drive to get things done, and the empathy to truly understand our clients’ needs. Our team takes pride in working hard—and having fun while doing it. We believe in the power of collaboration and bringing like-minded people together to build great things. We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
What is all about?
Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
Tooling: Equip agents with the right toolchains - RAG, vector DBs, third-party APIs-to streamline task execution.
Safety & Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
Mentorship: Coach and review work of junior data scientists/ML engineers.
Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
Kvalifikacije
What we bring to the table:
The location choice is yours: remote, on-site or hybrid
Flexible working hours
Work with new technologies in a high-performance environment
IT community involvement — Meetups, Workshops & Articles