Senior Data Scientist / ML Engineer

Senior Data Scientist / ML Engineer

Location: Remote from Spain (an indefinite Spanish employment contract)

Working hours: readiness to work till 2-3 PM EST hours (8-9 PM CET)

Are you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity for you to join our team as Machine Learning Engineer.

Requirements:

•Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field.

Experience: 5+ years of professional experience in machine learning engineering, AI development, or a closely related role.

Machine Learning & Statistics: Solid understanding of classical ML algorithms (e.g., tree-based models, SVMs, clustering, ensemble methods), feature engineering, model evaluation metrics, and statistical methods (hypothesis testing, regression analysis, probability distributions).

LLM Expertise: Demonstrated project experience with large language models, including:

• Prompt engineering and prompt management strategies;
• LLM application development (end-to-end);
• Fine-tuning of large language models;
• Retrieval-augmented generation (RAG) pipeline design and implementation;
• Practical experience with vector stores such as ChromaDB, pgvector, and PostgreSQL.

AI Agents: Hands-on experience building AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration frameworks. Must demonstrate the ability to design agent architectures, manage tool integration, and handle complex agent workflows.

Programming: Proficiency in Python with a strong emphasis on writing clean, maintainable, production-quality code. Familiarity with software engineering best practices (testing, code review, documentation).

Cloud: Practical experience with Google Cloud Platform (GCP) services for ML workloads (e.g., Vertex AI, Cloud Run, GCS, BigQuery, Compute Engine).

DevOps & MLOps:

Docker: Proficiency in containerization — building, managing, and deploying Docker images and containers.

GitLab: Proficient GitLab skills for version control, merge request workflows, and repository management.

API Development: Experience with FastAPI, including request validation, async handling, and integration with ML model serving. Broader software development experience expected.

At least B2 level of English.

Soft Skills:

• Excellent communication skills
• Strong work ethic and high personal accountability
• Ownership mentality — takes full responsibility for deliverables and outcomes
• Proactive, self-starting approach to identifying problems and driving project success without waiting for direction.

Responsibilities:

• Drive/Participate the ideation, development, and execution of POCs and AI related project
• Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
• Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products