Responsibilities
-
Design, develop, and implement GenAI solutions that integrate with Azure and AWS platforms.
-
Collaborate with cross-functional teams to gather requirements and define project objectives.
-
Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.
-
Develop and maintain scalable and efficient codebase for GenAI applications.
-
Optimize GenAI models and algorithms for performance and accuracy.
-
Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.
-
Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.
-
Provide technical guidance and mentorship to junior team members.
-
Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.
Requirements
-
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
-
Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration.
-
Experience with AWS and Azure GenAI services is preferred.
-
Strong programming skills in languages such as Python and/or Java.
-
Experience with Azure services, including Azure WebApp services, Azure AI Services, and Azure Functions.
-
Experience with Large Language model integration with APIs, building AI agents and working with multi-modal models.
-
Understanding of machine learning algorithms and deep learning frameworks.
-
Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
-
Strong problem-solving and analytical skills.
-
Excellent communication and collaboration abilities.
-
Ability to work independently and as part of a team in a fast-paced environment.
-
Experience with AWS services, such as Amazon ECS, Fargate, Lambda, Dynamo DB, Bedrock etc.
-
Good to have knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML.
-
Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.
-
Knowledge of containerization technologies such as Docker and Kubernetes.
-
Familiarity with DevOps practices and tools for CI/CD pipelines.
-
Contributions to open-source GenAI or cloud service integration projects.
We are a team of young professionals with an entrepreneurial mindset come together to redefine the talent that accelerate innovation, growth, and sustainability of the business.
We live in a world of complexity and uncertainty, whether its economy or business. And its technology that drives constant change. A business needs the right people, working collaboratively and effectively and that’s where we come in.
Exa- is a new brand that is locally breaded with an international exposure. We bring in a strong persuasion, collaborating with the expertise and network of professionals across IT.
We value and believe in our team, and we start with understanding a candidate’s ambitions. Aspiring ahead with them by - coaching, guiding, investing in their training, and upskilling throughout their career.