Position: AI Solutions Developer ConsultantWork Type: Part TimeExperience: 7+ yearsWork timing: Any 3 hours Required skill sets: AI, Machine Learning, Cloud Computing, Azure OpenAI and Prompt EngineeringLocation: WFHRemuneration: Hourly basis
The ideal candidate will have a strong background in AI, Machine Learning, and Cloud Computing, with specific expertise in Azure OpenAI and Prompt Engineering. You will be responsible for designing, developing, and deploying AI solutions leveraging the latest AI technology advancements to solve complex business problems.
Key Responsibilities:Design, develop, and deploy AI solutions using Azure OpenAI.Craft and optimize prompts to achieve desired outcomes from AI models.Integrate AI solutions with existing systems and workflows.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Implement and maintain scalable and secure AI applications on Azure.Monitor and evaluate the performance of AI models and make necessary adjustments.Stay updated with the latest advancements in AI and machine learning technologies.Provide technical guidance and support to other team members.
Required Skills and Qualifications:Bachelor’s degree in Computer Science, Engineering, or a related field.Proven experience in AI and machine learning development.Strong proficiency with Azure OpenAI and other Azure AI services.Expertise in prompt engineering and crafting effective prompts for AI models.Experience with cloud computing platforms, preferably Azure.Solid understanding of data structures, algorithms, and software design principles.Proficiency in programming languages such as Python, Java, or similar.Excellent problem-solving skills and attention to detail.Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:Degree in Computer Science, Engineering, or a related field.Experience with other AI frameworks and libraries.Knowledge of natural language processing (NLP) techniques.Familiarity with data privacy and security best practices.