AI Engineer

December 9

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Acolad group

WebsiteLinkedInAll Job Openings

Content & Digital Services • Translation • Localisation • Interpretation

1001 - 5000 employees

🤝 B2B

🏢 Enterprise

Description

•Acolad is the global leader in content and language solutions. •Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. •Joining Acolad means a unique opportunity for professional development through a collaborative global environment. •We are seeking a dynamic AI Engineer with proven expertise in deploying machine learning (ML) and deep learning (DL) models into production. •You will play a key role in transforming AI models into production-ready applications. •In this role, you will collaborate with the data science team, driving experimentation and rapid iteration. •A deep understanding of Python, cloud infrastructure (AWS, GCP or Azure) and experience with Large Language Models (LLMs) is essential.

Requirements

•3+ years of experience deploying AI models: Proven experience in putting ML/DL models into production environments at scale. •Expertise in building AI applications: Hands-on experience building AI-driven applications and services, with a focus on delivering practical solutions from experimental models. •Experience with Large Language Models (LLMs): Strong understanding of LLMs, including their experimentation and productionization. •Vector databases: Experience with vector databases for enhanced retrieval and AI performance. •Proficiency in Python and cloud platforms: Deep expertise in Python and experience with cloud platforms such as AWS, GCP, or Azure. •Research and experimentation mindset: Ability to design, experiment and iterate with LLMs and AI models, balancing lean experimentation and structured workflows. •MLOps knowledge: Familiarity with MLOps pipelines, monitoring and optimization techniques for continuous delivery and feedback integration. •Problem-solving and adaptability: Ability to navigate a fast-paced environment, embracing agility and continuous improvement in AI solution development. •Preferred Skills: •Familiarity with prompt engineering techniques, such as few-shot learning and dynamic prompt optimization. •Experience in creating PoCs and transitioning them into scalable, production-grade AI systems. •Knowledge of caching strategies, cost optimization and debugging in LLM-based applications.