Senior Data Scientist (AI)

Location: Hybrid in Porto or Lisbon, Portugal

Company

hirify.global develops data, AI, and machine-learning solutions with multidisciplinary teams for international client projects.

What you will do

• Design, develop, and implement advanced AI and machine-learning models for real-world business problems.
• Define modeling strategies, experimentation approaches, analytical frameworks, forecasting algorithms, optimization models, and capacity-planning models.
• Design and deploy Generative AI and Agentic AI solutions, including AI agents, multi-agent systems, RAG architectures, and agentic workflows.
• Build and optimize agents with reasoning, planning, memory, tool usage, and interaction with enterprise data, APIs, and external systems.
• Ensure deployment, monitoring, validation, lifecycle management, and observability for ML and GenAI solutions according to MLOps practices.
• Lead and mentor Data Science teams, contribute to architecture and code-quality decisions, and communicate results to technical and non-technical stakeholders.

Requirements

• Degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.
• 5+ years of professional Data Science experience.
• Strong Python expertise and experience with PySpark or Spark MLlib.
• Hands-on experience designing and implementing Generative AI and Agentic AI solutions, including AI agents, agentic workflows, and multi-agent architectures.
• Solid understanding of NLP, text analytics, and unstructured data processing.
• Deep knowledge of ML architectures and MLOps lifecycles, including CI/CD for ML, model versioning, monitoring, and retraining pipelines.
• Hands-on experience with NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, and TensorFlow or PyTorch.
• Experience leading Data Science projects end-to-end with MLOps best practices, plus computer vision experience in image preprocessing and analysis.
• Strong experience with LLMs, LangChain, RAG, prompt engineering, tool or function calling, production deployment, evaluation, monitoring, guardrails, and observability for LLM-based applications.
• Strong leadership, communication, autonomy, adaptability, ownership, and collaboration skills; willingness to travel when needed and motivation for international projects.

Nice to have

• 2+ years of experience with SQL.
• Production experience with Java, Scala, or Spark.
• Knowledge of AWS, Azure, GCP, or Cloudera distributed and cloud environments.
• Understanding of Data Governance frameworks.

Culture & Benefits

• Hybrid work with flexibility and work-life balance.
• International projects and opportunities to explore different roles and career paths.
• Continuous learning and development opportunities.
• AI-driven environment using current technologies, with benefits and practical perks.
• Inclusive, equal-opportunity workplace with adjustments available during the selection process.