Lead AI Engineer at Euromonitor

Vilnius, Vilnius County, Lithuania -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

6500.0

Posted On

12 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Science, AI, Machine Learning, NLP, Deep Learning, LLMs, RAG, Feature Engineering, Data Processing, Cloud Environments, MLOps, Experimentation, Collaboration, Communication, Technical Mentorship

Industry

Market Research

Description

Who we are Euromonitor International leads the world in data analytics and research into markets, industries, economies, and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. What you will be doing You’ll be joining a brand-new AI and R&D team at the ground floor — shaping the technical direction and building the foundation for scalable, production-grade AI systems. Reporting to the Head of AI and R&D, and working closely with software engineers, as well as cross-functional stakeholders, you’ll lead early-stage experimentation on cutting-edge projects involving agentic LLMs, Retrieval-Augmented Generation (RAG), and fine-tuning of foundation models. Your focus will span from proof-of-concept development to prototype design, validating new ideas and establishing the technical pathways toward scalable AI solutions that drive real business value. Key responsibilities Lead the design and execution of data science and AI initiatives from ideation to prototype Build, train, and evaluate LLM-based models and pipelines, including RAG and fine-tuning approaches Develop high-quality, well-documented Python code and reusable components for experimentation Collaborate with AI/ML engineers and software developers to move prototypes toward production readiness Design and maintain experimentation frameworks and model evaluation protocols Guide data exploration, feature engineering, and data quality assessments Stay at the forefront of research in LLMs, multi-agent systems, and applied generative AI Provide technical mentorship to junior team members and help shape the data science culture Communicate insights, results, and recommendations clearly to both technical and non-technical audiences Strong proficiency in Python and modern data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, Plotly) Proven experience in AI/ML model development, with hands-on exposure to LLMs, RAG pipelines, and/or fine-tuning Solid understanding of machine learning principles, NLP, and deep learning architectures Experience designing and implementing proof-of-concept and prototype solutions Familiarity with vector databases, embedding models, and prompt engineering techniques Experience with data processing, feature engineering, Data Labeling and evaluation metrics Strong problem-solving and experimentation mindset; ability to move fast and iterate Excellent communication skills and ability to work collaboratively in a fast-moving R&D environment Exposure to cloud environments (AWS, GCP, or Azure) and MLOps practices (Nice to have) Experience leading small teams or mentoring other data scientists and/or machine learning engineers What you'll get form us: Be a pioneer: Join a brand-new AI team and become one of the first engineers shaping its future Flexibility: Enjoy flexible working hours and a hybrid setup Global exposure: Work with stakeholders across multiple offices worldwide Cutting-edge tech: Experiment with emerging AI technologies, including LLMs and innovative approaches Collaboration: Partner with diverse teams and contribute to exciting, high-impact projects The salary range for this position is between €5,000 and €6,500 / month gross. #LI-HYBRID #LI-AO1 Why work for Euromonitor? Our Values: We seek individuals who act with integrity We look for candidates who are curious about the world We feel that as a community, we’re stronger together We seek to enable people to feel empowered We welcome candidates who bring strength in diversity International: not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis. Hardworking and sociable: our staff know how to work hard and know also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of other groups to be involved with. Committed to making a difference: We believe that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It gives all new starters a donation amount on joining us which they can give to a charity of their choice. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights. Excellent benefits: we offer competitive salaries, enhanced healthcare and pensions, plus generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times to each day. Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent. Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.

Responsibilities

Lead the design and execution of data science and AI initiatives from ideation to prototype. Collaborate with AI/ML engineers and software developers to move prototypes toward production readiness.