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Senior AI Engineer

2 weeks ago

Athens, Attica, Greece Workable Full time €40,000 - €80,000 per year

For over 31,000 growing businesses and HR teams seeking a comprehensive, all-in-one HR suite, Workable emerges as the premier solution. We uniquely combine the world's most widely adopted Applicant Tracking System (Workable Recruiting) with a full-spectrum employee management system (Workable HR). At Workable, we empower companies to focus on what truly matters: hiring the right people and fostering their growth.

While we take HR seriously, we maintain a lighthearted and collaborative culture. At Workable, you'll find smart people who have fun, learn, innovate, and help others do the same. We respect everyone, we hire the best, and make sure every experience is special.

We're looking for a Machine Learning Engineer to join our AI Team and help solve real-world AI/ML challenges across our product ecosystem. You'll design and build production-grade solutions, contribute directly to our evolving in-house AI/ML stack, including LLM- and VLM-powered features, and help shape the future of AI at Workable.

As part of a cross-functional environment, you'll collaborate closely with engineering, product, design, QA, and operations teams to integrate intelligent features that deliver real impact.

Responsibilities

  • Develop and apply advanced AI models, including transformer-based architectures and proprietary in-house large language and vision-language models (LLMs/VLMs), to power document parsing, semantic search & ranking, classification and personalized recommendation systems.
  • Drive end-to-end AI product development, from problem discovery and rapid prototyping to model deployment and iterative performance tuning.
  • Design, prompt, fine-tune, and evaluate LLMs and VLMs, leveraging internal datasets, synthetic data, and prompt engineering to optimize task-specific outcomes.
  • Deliver production-grade AI systems, wrapping models as robust APIs and scalable services, while contributing to testing, observability, CI/CD, and model-serving infrastructure.
  • Continuously monitor and adopt advances in modern AI/ML ecosystems, including open-source models, commercial APIs, MLOps frameworks, and multimodal learning techniques.
  • Communicate complex ML findings effectively, through actionable reports, visualizations, and internal presentations.

Requirements

  • BSc/MSc or PhD in Electrical & Computer Engineering, Computer Science, Machine Learning, or a related field.
  • You'll be a great fit if you have:
    • 3+ years of experience applying machine learning to real-world problems, or equivalent PhD-level research experience
    • At least 2 years of hands-on experience in building and deploying ML/AI systems in a production environment
  • Proficiency in recent NLP techniques and LLM/VLM workflows, including tokenization, text representation, prompt engineering, fine-tuning, and quantization, coupled with hands-on experience using both proprietary and open-source Transformer-based architectures.
  • Strong Python coding skills and experience with PyTorch and ML techniques (hyperparameter optimization, quantization) are required..
  • Familiarity with Linux-based development, Git workflows, and software engineering best practices (e.g., testing, CI/CD).
  • Experience working with relational databases (e.g., PostgreSQL, MySQL) and handling structured/unstructured data at scale.

Extra credit will be given to candidates with:

  • Experience with large-scale vector search engines (e.g., FAISS, ElasticSearch, Weaviate, Milvus) for semantic search or retrieval-augmented generation (RAG).
  • Experience with MLOPs tools, such as MLFlow
  • Solid understanding of data engineering workflows, including designing and maintaining ETL pipelines for ML data preprocessing and feature generation.
  • Cloud deployment experience, especially with ML pipelines and inference on GCP, AWS, or Azure.
  • Proficiency in containerization and orchestration, such as using Docker, Kubernetes, or similar tools for scalable ML service deployment.

Benefits

Our employees enjoy benefits that make them more productive and contribute directly to the development of their professional skills. We want to be able to attract the best of the best and make sure they keep getting better. On top of an exciting, vibrant and intellectually challenging environment, we are offering:

  • Comprehensive Health Coverage: A robust health insurance plan that includes coverage for your dependents.
  • Competitive Compensation: An attractive salary paired with a performance-based bonus plan.
  • Flexible Work Model: Enjoy the best of both worlds with a hybrid setup—two days working from home and three in the office.
  • Top-Tier Tools: Apple gear and access to the latest productivity tools to help you excel.
  • Stay Connected: A mobile data plan to keep you online wherever you are.
  • Delicious Perks: Fresh, tasty food at the office to fuel your productivity.
  • Relocation Bonus: To help you settle in smoothly in Athens.

Workable is most decidedly an equal opportunity employer. We want applicants of diverse background and hire without regard to colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.