Key Responsibilities:

Design, develop, and train machine learning and deep learning models.
Experiment with different model architectures to enhance performance.
Integrate AI models into existing systems and applications.
Deploy and maintain models in production environments.
Optimize models for speed, scalability, and cost-efficiency.
Research and explore new techniques for optimizing Large Language Models (LLMs).
Collaborate with data engineers, software engineers, product managers, and other teams.
Clearly communicate technical concepts to non-technical stakeholders.
Define project requirements and deliverables with cross-functional teams.
Monitor and improve model performance using feedback and new data.
Document the development process, models, and algorithms.
Prepare reports and presentations on project progress and outcomes.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Min 5 years Proven experience in machine learning, deep learning, and AI model development.
Hands-on experience with AI frameworks like TensorFlow or PyTorch.
Proficiency in Python; experience in Java, GoLang, or is a plus.
Experience with training and deploying Large Language Models (e.g., GPT, LLAMA).
Strong problem-solving and analytical skills.