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AI Engineer for Transformation Project

Remote from Spain·Added today (last checked 11 Nov)

Intellias

30 open roles

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Our summary

Work mode: Remote (Bulgaria, Croatia, Poland, Portugal)
English: Required
Experience: 5+ years
Education: Master's degree

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Skills

Nice to have

Requirements

What we're looking for

5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions.
Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field.
Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation.
Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI.
Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems.
Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring.
Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn.
Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent.
Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments.
Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring.
Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations.
Proficiency with version control (Git) and software engineering best practices for collaborative ML development.
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Nice to have

Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment.
Experience with model serving and inference optimization tools such as vLLM.
Experience working with feature stores, real-time data pipelines, or streaming AI systems.
Experience with distributed training or large-scale model training frameworks.
Experience with multimodal AI systems (vision-language models, audio-text, document AI).
Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.).
Experience contributing to open-source ML projects or publications in peer-reviewed venues.
An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack.

The role

Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!

Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.

What you'll do

Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment.
Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges.
Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions.
Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring.
Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints.
Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring.
Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies.
Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks.
Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization.
Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning.
Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements.

About Intellias

Intellias is an AI-enabled product engineering and digital solutions partner, operating in the IT services industry. The company has over 20 years of engineering experience, employs more than 3,000 AI-enabled engineers, and serves over 170 enterprise clients worldwide. Intellias delivers digital products across mobility, healthcare and life sciences, financial services and insurance, retail, and iGaming, with a global network spanning 17 countries and 23 offices.

Intellias has a presence in Spain, with a validated office location in Malaga. The company's global delivery model and focus on senior engineering talent make it a relevant employer for international professionals, particularly those with expertise in software engineering, data engineering, AI/ML, and cloud infrastructure. With roles open in Spain across various engineering and architecture disciplines, Intellias offers opportunities for experienced professionals to work on complex, enterprise-scale projects.

Industry: IT Services
Founded: 2002
Employees: 3,000–5,000
Headquarters: Lviv, Ukraine
In Spain: Malaga

Good to know if you are moving

Intellias has a validated office in Malaga, Spain, which is a key location for its Spanish operations.
The company operates in 17 countries with 23 offices, offering potential for international mobility and collaboration.
Intellias focuses on senior and mid-level engineering talent, with 96% of engineers at that level, indicating a high-skill environment.
The company serves over 170 enterprise clients worldwide, providing exposure to large-scale, cross-industry projects.
Intellias has been operating for over 20 years, indicating stability and long-term client relationships.

In their own words

About the company & team

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

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