Medior Data Scientist / AI Engineer

Trinamics; Breda; On-site; EUR 56,000 - 75,000; Full time

Benefits offered by this job

Permanent contract

International team

Development opportunities

Job summary

Trinamics is seeking an AI/ML engineer to build agentic assistants that analyze operational situations, retrieve information and recommend actions. You will design multi-agent workflows that combine data, APIs, models and business rules with multi-step reasoning and human-in-the-loop controls.

You will develop retrieval-augmented generation solutions grounded in structured data, events and knowledge graphs, and evaluate predictive and decision-support models for maintenance, anomaly

Qualifications

• Bachelor's or Master's degree in computer science, artificial intelligence, data science or related field, or equivalent experience.
• Strong Python and PySpark skills with API development, testing, Git, pandas, scikit-learn and TensorFlow.
• Proven experience with Azure, especially Databricks, for ML model development and MLOps.
• Hands-on experience building generative or agentic AI applications using LangGraph, LangChain, Semantic Kernel, Pydantic AI or AutoGen.
• Experience with LLM APIs and platforms such as Azure OpenAI, prompting, structured outputs, RAG, embeddings and vector or hybrid search.
• Experience designing autonomous workflows, decision logic and safe tool execution.
• Familiarity with CRISP-DM and working in exploratory environments.

Responsibilities

• Build agentic assistants that analyse operational situations and recommend actions.
• Design multi-agent workflows combining data, APIs, models and business rules with multi-step reasoning and human-in-the-loop controls.
• Develop retrieval-augmented generation solutions grounded in data and knowledge graphs.
• Analyse data and validate predictive and decision-support models for maintenance, anomaly investigation and root-cause analysis.
• Translate results into actionable insights with domain experts and end users.

Skills

Python

PySpark

API development

Automated testing

Git

pandas

scikit-learn

TensorFlow

Azure Databricks

MLOps

LangGraph

LangChain

Semantic Kernel

Pydantic AI

AutoGen

LLM APIs

prompting

vector search

Education

Bachelor's or Master’s in CS

Data science degree

Tools

Azure Databricks

Kubernetes

Azure OpenAI

Job description

• You build agentic assistants that analyse operational situations, retrieve relevant information and recommend actions.
• You design multi-agent and tool-using workflows that combine data, APIs, models and business rules, with multi-step reasoning, memory and human-in-the-loop controls.
• You develop retrieval-augmented generation (RAG) solutions grounded in structured data, documents, events and knowledge graphs.
• You analyse operational and asset data and develop and validate predictive and decision-support models, for example for maintenance, anomaly investigation and root-cause analysis.
• You apply AI to process mining and explore new use cases and asset types: you assess data availability and quality, define the approach and validate the value.
• You build reusable AI services and APIs that integrate with operational data, digital products and existing cloud services.
• You productise prototypes with solid engineering practices (automated testing, CI/CD, MLOps, observability) and support deployment to production.
• You translate results into actionable insights and recommendations, together with domain experts and end users.
• You follow developments in generative AI, machine learning, process mining and event knowledge graphs, and turn promising research into practical capabilities.

Must-haves

• A bachelor's or master's degree in computer science, artificial intelligence, data science or a related field, or equivalent professional experience.
• Strong Python and PySpark skills, with solid software engineering: API development, automated testing, Git, pandas, scikit-learn and TensorFlow.
• Proven experience with Azure, especially Databricks, for ML model development and MLOps (end-to-end data and ML pipelines).
• Hands-on experience building generative or agentic AI applications, using frameworks such as LangGraph, LangChain, Semantic Kernel, Pydantic AI or AutoGen.
• Experience with LLM APIs and platforms such as Azure OpenAI, and with prompting, structured outputs, RAG, embeddings and vector or hybrid search.
• Experience designing autonomous workflows, decision logic and safe tool execution, and evaluating AI-generated output.
• A security-first mindset: privacy, authorisation, prompt injection, data leakage and responsible AI.
• Familiarity with working according to CRISP-DM.
• Comfortable in exploratory environments where problems and data evolve; you structure and validate new use cases.
• A strong communicator who explains technical results to non-technical stakeholders, with experience working with colleagues around the world.
• Fluent English.

Nice-to-haves

• Experience developing predictive maintenance models.
• Knowledge of event-driven architecture, Kafka, knowledge graphs, or time-series and operational data.
• Experience with Azure AI services, Databricks AI services or Kubernetes.
• Experience evaluating AI systems and designing human oversight and feedback mechanisms.
• Familiarity with industrial automation in warehouse operations.
• Dutch.

Curious about new AI technology but pragmatic about turning it into dependable products? Then we'd like to hear from you.

• A gross monthly salary between € 5,000 and € 6,700, depending on your knowledge and experience.
• Agentic AI that goes into production at real customer sites, not just proofs of concept.
• An international product team (Netherlands and India) with room for experimentation and continuous learning.
• Always a permanent job; no temporary projects.
• After a pre-agreed period, a transfer to the client's payroll is a possibility.
• An extensive package of secondary employment conditions.
• Plenty of opportunities for personal and professional development.