Leverage existing AI models and frameworks, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to address complex business challenges.
Collaborate with cross-functional teams to gather requirements and translate them into effective AI solutions.
Fine-tune and optimize AI models for specific applications, ensuring high performance and accuracy.
Experiment with various AI models, libraries, and techniques to identify the best solutions for specific problems.
Develop custom AI solutions when necessary, utilizing machine learning, deep learning, natural language processing, and computer vision techniques.
Integrate AI solutions seamlessly into existing systems and workflows, working closely with data scientists and software engineers.
Document and communicate technical designs, processes, and best practices to ensure clarity and knowledge sharing.
Requirements & Skills:
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Strong programming skills in languages such as Python, Java, or C++.
In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI technologies.
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Proficiency in software development best practices, version control systems, and agile methodologies.
Excellent problem-solving skills with the ability to think critically and analytically.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
