AI/ML Engineer

Role and Responsibilities:

The AI/ML Engineer supports the development anddeployment of scalable and optimized artificial intelligence (AI) and machinebuilding and implementing algorithms to extract, transform, and load largevolumes of real production-ready AI/ML solutions.

Job Summary Critical Work Functions and Key Tasks:

. He/She conducts modelexperiments, monitors performance, and troubleshoots issues to ensure stabilityand effectiveness in environment.

. He/She is proficient inprogramming, scripting, and statistical methods, and familiar with theplatforms used to.

. The AI/ML Engineer is alsoexpected to apply good practices in responsible AI and data governance.

. He/She should have working andcomply with requirements under the Personal Data Protection Act (PDPA).

Conduct research on artificial intelligence (AI)/machinelearning (ML) models and algorithms:

. Research and implement machinelearning algorithms and tools for AI/ML model development.

. Identify appropriate algorithmsbased on user requirements.

. Select appropriate datasets anddata representation methods for analysis.

. Evaluate AI/ML models forproduction.

. Build and assess AI/ML models

. Develop codes to package theAI/ML models for scaling.

. Develop AI/ML developmentpipeline and infrastructure.

. Develop scalable data pipelinesto extract, transform, load and integrate unstructured data from varioussources.

. Scale AI/ML models forproduction.

. Support continuous improvementof AI solutions.

. Deploy AI/ML models insolutions.

. Test the operation andperformance of the deployed models.

. Identify bugs during deploymentand create bug fixes to address issues.

. Engage in code reviews toimprove AI/ML models

. Perform statistical analysis andfine tuning of the model using test results.

. Prepare documentation to outlinedata sources, models and algorithms used and developed.

. Research and implement machinelearning algorithms and tools for AI/ML model development.

Requirements / Qualifications Requirements:

. Bachelor's or master's degree incomputer science, Engineering, or a related field.

. Proven experience as a GenAIEngineer, with a focus on Azure and OpenAI integration.

. Experience with AWS and GoogleGenAI services is preferred.

. Strong programming skills inlanguages such as Python and/or Java.

. Experience with Azure services,including Azure Machine Learning, Azure Cognitive Services, and AzureFunctions.

. Familiarity with OpenAItechnologies, such as GPT-3/4 and reinforcement learning frameworks.

. Solid understanding of machinelearning algorithms and deep learning frameworks.

. Proficiency in datapreprocessing, feature engineering, and model evaluation techniques.

. Strong problem-solving andanalytical skills

. Excellent communication andcollaboration abilities.

. Ability to work independentlyand as part of a team in a fast-paced environment.

Preferred Qualifications:

. Experience with AWS services,such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.

. Knowledge of Google Cloudservices, including Google Cloud AI Platform, Google Cloud Functions, andGoogle Cloud AutoML.

. Experience with cloud-baseddeployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.

. Knowledge of containerizationtechnologies such as Docker and Kubernetes.

. Familiarity with DevOpspractices and tools for CI/CD pipelines.

. Contributions to open-sourceGenAI or cloud service integration projects.