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AI/ML Engineering
Machine Learning Operations Engineer
Principal
Bulgaria, Croatia, Egypt, Poland, Portugal, Spain
Remote
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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!
What project we have for you
We are seeking a highly experienced and hands-on Principal AI/ML Architect & Applied AI Lead to drive the design, development, and operationalization of enterprise-scale AI systems across research and production environments.
This role combines deep technical expertise in Machine Learning, Generative AI, distributed data systems, and cloud-native architectures with strategic leadership capabilities. The ideal candidate will lead complex AI initiatives end-to-end — from experimentation and research to scalable deployment in global enterprise environments.
The position requires a strong balance between:
- technical leadership,
- hands-on implementation,
- AI strategy,
- cross-functional collaboration,
- and mentoring of engineering and data science teams.
What you will do
- Lead the design and implementation of AI/ML solutions across multiple business domains.
- Drive enterprise adoption of Large Language Models (LLMs), Generative AI, NLP/NLU, and advanced analytics solutions.
- Define AI architecture standards, MLOps best practices, and scalable deployment strategies.
- Evaluate emerging AI technologies and identify opportunities for innovation and operational impact.
- Translate research initiatives into production-ready AI solutions.
- Architect scalable distributed data-processing systems capable of handling large-scale datasets and real-time pipelines.
- Design and optimize cloud-native AI platforms using modern data engineering frameworks.
- Lead cloud migration and modernization initiatives from on-premises environments to Azure and/or AWS.
- Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and containerized environments.
- Ensure reliability, scalability, observability, and cost-efficiency of AI infrastructure.
- Design and implement enterprise-grade chatbot and conversational AI platforms.
- Lead development of Retrieval-Augmented Generation (RAG), agentic workflows, and LLM orchestration systems.
- Define governance, evaluation, and monitoring strategies for GenAI systems.
- Collaborate with research teams to operationalize LLM-based applications securely and responsibly.
- Lead cross-functional teams composed of data scientists, ML engineers, software engineers, and business stakeholders.
- Mentor engineers and researchers in AI/ML best practices, architecture, and software engineering standards.
- Coordinate global AI initiatives across distributed teams and multiple geographies.
- Communicate technical concepts effectively to executive and non-technical audiences.
- Support innovation programs and AI adoption strategies across the organization.
What you need for this
Requirements:
- Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
- 10+ years of experience in AI/ML, data science, or distributed systems engineering.
- Proven experience designing and deploying production-grade AI solutions at enterprise scale.
- Strong background in both research and industrial AI environments.
- Experience leading global or distributed technical teams.
- Demonstrated success delivering AI transformation initiatives.
- Large Language Models (LLMs)
- Generative AI systems
- NLP / NLU
- Apache Spark
- Databricks
- Delta Lake
- SQL / NoSQL databases
- Distributed computing architectures
- Streaming and batch processing pipelines
- Azure and/or AWS
- Docker
- Kubernetes
- CI/CD pipelines
- Infrastructure-as-Code
- MLOps frameworks
- Python
- Scala
- Experience with AI governance and responsible AI practices.
- Experience building AI platforms serving multiple teams or business units.
- Experience optimizing cloud infrastructure and reducing operational costs.
What it’s like to work at Intellias
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.
Skills
artificial_intelligence
