GenAI Developer

Roles & ResponsibilitiesDesign, develop, and train generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for applications such as content generation, data synthesis, and automation.Implement and optimize machine learning algorithms to enhance the performance and capabilities of generative AI systems.Prepare and preprocess datasets for training and evaluating generative AI models, ensuring data quality and integrity.Collaborate with software engineering teams to integrate generative AI functionalities into existing systems and applications.Optimize AI models for efficiency, scalability, and performance across different platforms and environments.Stay updated with the latest advancements in generative AI and related fields and apply new techniques and methodologies to ongoing projects.Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and robustness.Create detailed documentation for AI models, processes, and best practices to facilitate knowledge sharing and maintainability.Work closely with data scientists, product managers, and other stakeholders to understand requirements and deliver AI-driven solutions that meet business needs.Adhere to ethical guidelines in AI development, addressing issues such as bias, fairness, and transparency in AI models.Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.Minimum of 5 years of experience in AI/ML development or a related role.Proven experience in developing and deploying generative AI models and solHands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.Proficiency in programming languages such as Python, Java, or C++.Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing.Knowledge of API development and integration.Familiarity with containerization and orchestration tools like Docker and Kubernetes.Experience with version control systems (e.g., Git)."MUST HAVE" Skills

Knowledge and experience implementing RAG and fine-tuning GenAI solution using the relevant Azure resources and services.Experience with developing Custom Copilots using Microsoft Copilot Studio. Custom Connector and Extension development experience a plus.Experience with developing Gen AI solutions using Azure OpenAI, Azure AI Search and Azure AI Studio for RAG and fine-tune LLM for GenAI solutions.Must possess expertise in prompt engineering to facilitate gen ai solution testing and usage.Agile / ADO experienceKnowledge and experience in implementing distributed architecture patterns (e.g. web applications, REST/microservices). Azure experience a plus.Knowledge and experience in implementing GenAI solutions using a defined GenAl life cycle process.Java development experience