The role involves implementing AI features like computer vision and NLP, improving search quality, building Python APIs, and collaborating on solutions.
Ready to embark on a journey of opportunity? Join a team of 750+ employees in 20 countries in the first consultancy originating from CEE. We bring together digital and advisory as an international collaboratory where every talent can shine, every employee can become a partner, and every partner can become a shareholder. We are explorers, uplifting, transparent, and diverse by our core organisational values.
Do you believe technology should work for the people and not vice versa? Then join our dynamic digital team! We specialise in product design, creative solutions, digital marketing, web and mobile app development, e-commerce, and custom solutions. With our focus on innovation and quality, we help businesses thrive in the digital landscape. Let’s team up to shape the future of technology-driven solutions and have fun along the way!
Take the step towards your journey with us and join us as a AI/ ML Developer in EU!
You will:
- Implement end-to-end AI features depending on the project, including: Computer Vision(detection/recognition pipelines, image preprocessing, evaluation, inference integration), NLP/Transformers (text classification, extraction, summarization, embeddings-based workflows), RAG / semantic search (ingestion -> chunking -> embeddings -> retrieval -> answer generation);
- Improve retrieval quality using two-stage search (vector retrieval + reranking using cross-encoders/rerankers) when relevant to the project;
- Work with vector search / vector databases in local and cloud setups: Self-hosted (Docker) and client environments, as well as cloud-managed search stacks (e.g., OpenSearch vector search, Azure AI Search hybrid/vector search);
- Build and maintain Python backend APIs (FastAPI/Django) that serve AI pipelines reliably (auth integration, error handling, basic performance considerations);
- Package solutions with Docker, help run deployments in cloud environments, and support debugging in dev/stage/prod;
- Collaborate with software engineers, data engineers, and consultants to deliver working solutions under real project timelines.
Requirements:
- 2+ years of Python development (or equivalent strong practical experience) and ability to ship working backend services;
- Hands-on experience building at least two of: Computer Vision pipeline or NLP/Transformer-based pipeline, or RAG / semantic search pipeline;
- Familiarity with embeddings + vector search concepts (indexes, filtering/metadata, similarity search);
- Comfort with Docker, Git, and Linux basics (running services locally, troubleshooting dependencies);
- Practical mindset: you can translate requirements into an implementable pipeline and iterate quickly;
- Upper-intermediate English;
- Experience with IaaS cloud solutions (e.g., AWS, Azure, GCP), cross-encoders as rerankers, OpenSearch vector search, Azure AI Search hybrid retrieval and semantic reranking concepts, or basic ML serving/performance awareness would be a plus.
In Lithuania, the salary range for this position depends on candidate experience and starts from 18 EUR/ hour for a Middle-level position.
Top Skills
Azure Ai Search
Cloud Solutions
Django
Docker
Fastapi
Git
Linux
Opensearch
Python
Similar Jobs
Big Data • Cloud • Fintech • Professional Services • Software
As a Scanner Engineer, you'll build and maintain payroll integrations, improve shared libraries, and collaborate with a cross-functional team to provide solutions. You'll engage in reverse engineering web and mobile apps to enhance our real-time income data platform.
Top Skills:
BeautifulsoupCeleryDockerGCPGitKubernetesPlaywrightPython
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Responsible for driving business development and sales targets in Data & AI, managing stakeholder engagements, and providing technical support while leading complex sales proposals.
Top Skills:
5G6GAIApi MonetizationBusiness Support SystemsCloudGenaiMicro-Services ArchitectureOperations Support Systems
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead the transaction monitoring team to ensure compliance with financial regulations, investigate suspicious transactions, and improve operational procedures.
Top Skills:
SQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
