AI/ML Engineer
Role details
Job location
Tech stack
Requirements
Ernst & Young Advisory Services Sdn Bhd is looking for a highly skilled AI/ML Engineer in Málaga. The ideal candidate should have 1-2 years of experience in Data Science, proficiency in NLP and Generative AI, and an understanding of various AI technologies.
You will design and implement AI models, develop APIs, and collaborate within cross-functional teams. An inclusive culture with flexible work-life balance, comprehensive wellness programs, and career development opportunities awaits you., * 1-2 years of experience in Data Science and Artificial Intelligence.
- Hands-on experience with Generative AI techniques.
- Strong programming skills in Python with CI/CD knowledge.
Responsabilidades
- Design and implement AI models and systems.
- Develop APIs for AI applications.
- Collaborate across teams for project success., API Development Cloud Platforms Generative AI
Formação académica
Bachelor's or Master's in Computer Science, Engineering, AI or related field, We are seeking a highly skilled and experienced AI/ML Engineer with a minimum of 1-2 + years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs. The ideal candidate should have an understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. To qualify for the role, you must have
- Experience: 1-2 + years in Data Science and Artificial Intelligence, with hands-on experience in GenerativeAI (GenAI).
- Generative AI Expertise: knowledge of prompt engineering, fine-tuning models, RAGs and experience with Agentic AI approaches.
- Frameworks & Tools: Proven experience with at least one framework such as LangChain, LangGraph, AutoGen, Semantic Kernel, vector databases or equivalent for building AI applications.
- Programming & Engineering: Advanced skills in Python, following best software engineering practices including Git, CI/CD pipelines, and version control.
- API Development: Experience building APIs using Flask, FastAPI, or similar frameworks.
- NLP Skills: Solid understanding of Natural Language Processing (NLP) techniques, including tokenization, embeddings, and string similarity.
- Cloud Platforms: Hands-on experience with Azure, AWS, or other cloud environments for AI deployment.
- Collaboration & Communication: Strong interpersonal skills with the ability to collaborate effectively across cross-functional teams.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
Ideally, you'll also have
- Trusted AI Practices: Knowledge of AI ethics, fairness, transparency, and accountability in AI systems.
- Deployment & Scalability: Hands-on experience with Docker, Kubernetes, and other tools for deploying scalable AI models.
- Monitoring & Reliability: Experience implementing monitoring, logging, and performance tracking to ensure AI model reliability.
- Analytical & Problem-Solving Skills: Ability to translate complex business requirements into practical AI solutions.
Benefits & conditions
Flexible Work-Life Integration Comprehensive Well-Being Programs Empowering Career Development Recognized Performance and Rewards Meaningful Volunteering Opportunities