OverviewJob Title : AI Engineer.
EY GDS is actively recruiting an accomplished AI Engineer to join our dynamic, innovation-driven team.
We are looking for an expert with rich experience in deploying machine learning models and using Azure IA services.
The successful candidate will work closely with data science and analytics teams in a multidisciplinary setting, bringing a consultancy mindset and flexibility in adopting new technologies.As an AI Engineer at EY GDS, you will collaborate with data scientists, data analysts, and data engineers to push the boundaries of what's possible.ResponsibilitiesDesign, develop, and deploy machine learning models addressing our business needs.Utilize cloud-based AI services (Azure, GCP, AWS, Databricks) and Gen AI to develop intelligent AI solutions and GenAI Agents.Build AI applications suitable for both on-premises and cloud environments.Streamline efficient data pipelines for data ingestion, processing, and the deployment of production models.Collaborate with Data Scientists to transform prototypes into scalable software solutions.Work with Data Analysts and Data Engineers to ensure optimal data use and efficient resource allocation.Stay on top of the latest AI technologies and implement them to continually improve solutions.Desired ExperienceA minimum of 3 years of experience as an AI or Machine Learning Engineer or similar role.Proven experience deploying machine learning models and managing data science pipelines.Hands-on experience with Cloud AI services and Gen AI (Azure, AWS, Databricks, GCP).
A track record of developing, implementing, and maintaining AI solutions in a business context.Proven experience working within a multidisciplinary team of Data Scientists, Analysts, and Data Engineers.RequirementsA bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.Strong proficiency in Python, with in-depth knowledge of libraries like NumPy, Scikit-learn, TensorFlow, or PyTorch.Demonstrable understanding of machine learning algorithms, principles, and their real-world application.Understanding of data structures, data modeling, and software architecture.Soft SkillsExcellent communication skills, both written and verbal.A consulting mindset with the capacity and enthusiasm to learn and implement new technologies.A resilient mindset to overcome challenges in different projects.Familiarity with agile / scrum methodology and software development life cycle principles.Ability to communicate complex AI concepts to non-technical business leaders.Commitment to staying informed about the latest AI / ML trends as the field evolves.Additional InformationWe are looking for passionate individuals excited about the potential of AI and ML technologies to solve complex real-world problems.
If this resonates, we strongly encourage you to apply.References : ; Artificial Intelligence Engineer | Sales-Hub | LinkedIn; AI & Prompting Engineer | NEORIS | LinkedIn; Python Financial Markets Developer | KWA Analytics | LinkedIn; Senior Machine Learning Engineer | DigitalOcean | LinkedIn; Machine Learning Engineer | IBM | LinkedInEY refers to the global organization and may refer to one or more of the member firms of Ernst & Young Global Limited.
Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
#J-18808-Ljbffr
Ai Engineer • Xico, Veracruz, México