Senior AI/ML Engineer

N-iX; España; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working format

Competitive salary & package

Mentorship program & trainings

Job summary

N-iX is seeking a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem. You will own production-ready ML/LLM projects from business understanding through deployment and monitoring, collaborating with data engineers, analysts, and domain experts to build scalable AI solutions.

Ideal candidates have 4+ years in ML/AI, strong Python and ML framework skills, and hands-on experience with LLMs, NLP, GenAI, and RAG architectures.

Qualifications

• 4+ years of experience in machine learning, AI engineering, or related fields.
• Strong Python skills and hands-on experience with ML frameworks.
• Hands-on experience with LLMs, NLP, or GenAI applications.
• Experience with designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Understanding of the ML lifecycle from data prep to deployment and monitoring.
• Experience working with structured and unstructured data.
• Ability to translate business needs into production AI solutions and communicate decisions.

Responsibilities

• Design and develop AI/ML solutions for production use within Palantir Foundry and AIP.
• Implement LLM/NLP and RAG solutions with prompt engineering, embeddings, and vector search.
• Own end-to-end lifecycle from experimentation to deployment and monitoring.
• Collaborate with data engineers to ensure data quality and scalable processing.
• Communicate technical decisions and model limitations to non-technical stakeholders.

Skills

Python

LLMs / GenAI

RAG architectures

Vector databases

Data processing

Communication

English proficiency

Tools

Palantir Foundry

Foundry AIP

Docker

Kubernetes

Cloud platforms (AWS/GCP/Azure)

Job description

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing