Job Description
Key Responsibilities:
Design & Development:
Lead the design, development, and implementation of end-to-end AI/ML systems and pipelines, from data ingestion to model deployment and monitoring.
Develop and optimize algorithms and models, with a strong emphasis on Generative AI models (LLMs, Diffusion Models, etc.), fine-tuning, and prompt engineering.
Write clean, maintainable, and efficient code in Python and other relevant languages.
MLOps & Deployment:
Implement robust MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD) of ML models, monitoring, and retraining.
Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.
Manage and optimize cloud infrastructure (e.g., AWS, Azure, GCP) for AI/ML workloads.
Research & Innovation:
Stay abreast of the latest advancements in AI/ML, particularly in Generative AI, large language model...
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