Ofertes d'ocupació de Científic/a de Dades a València

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. Python TSQL Azure Docker Cloud Coumputing Kubernetes Microservices Git Hadoop AWS Spark Big Data Machine Learning Power BI Tableau Office

Data Scientist

• Hiring across multiple levels.
• Travel to the office in Valencia

Our client, an IT Consultancy, are looking for a Data Scientists to join the team on a permanent basis.

You will play a leading role in designing, developing, and supporting advanced AI and data‑driven solutions as part of a software delivery team.

Responsibilities

AI, Machine Learning & Agentic Systems:

• Lead the development and deployment of Agentic AI Models, including autonomous workflows, tool‑using AI agents, retrieval‑augmented systems (RAG), and multi‑agent orchestration.
• Build and optimise LLM‑based solutions

MLOps / LLMOps / Productionisation

• Implement end‑to‑end MLOps , CI/CD for ML, monitoring, and drift detection
• Build and maintain LLMOps frameworks, including model evaluation harnesses, safety testing, observability, and prompt‑versioning.

Data Science Delivery & Engineering

• Lead data collection, cleansing, transformation, feature engineering, analytics, and visualisation.
• Build high‑quality, reusable code aligned to modern engineering best practices.

Innovation & Thought Leadership

• Stay current with advancements in AI, LLMs, agent‑based systems, MLOps/LLMOps, and cloud technologies.

Requirements

• Must be fluent in English

Technical Skills

• Experience with supervised, unsupervised, deep learning, NLP, embeddings, and multimodal models.
• Expertise in LLMs, fine‑tuning, prompt engineering, vector databases, RAG pipelines, and model evaluation.
• Hands‑on experience delivering Agentic AI systems.
• Strong Python and SQL skills, with tools such as Pandas, NumPy, Scikit‑learn, PyTorch, TensorFlow.
• Experience with big data frameworks (Spark, Databricks, Hadoop) and cloud platforms (Azure, AWS, GCP).
• Strong knowledge of software engineering fundamentals: APIs, microservices, Git, Docker, testing, CI/CD.

MLOps & LLMOps

• Experience building production‑grade MLOps pipelines.
• Familiarity with LLMOps tooling: evaluation harnesses, monitoring, prompt management, and safety layers.
• Knowledge of vector stores (FAISS, Milvus, Pinecone), orchestration (Airflow, MLflow), and containerisation (Docker, Kubernetes).

Preferred Qualifications

• Experience in consulting, software engineering, or technology delivery.
• Background in AI ethics or model governance.
• Experience with Power BI or Tableau.

If you have the desired skills and experience and would like to find out more please apply to this advert by following the link and attaching a copy of your most recent CV. If successful we will be in touch to discuss the role in more detail.