
Ml Scientist
5 days ago
Key Responsibilities
**Model Development**:
**Cross-Functional Collaboration**:
Work closely with product managers, data scientists, and software engineers to define AI/ML use cases and deliver high-impact solutions.
**LLM Fine-Tuning**:
Evaluate and fine-tune pre-trained Large Language Models (LLMs) for domain-specific tasks and performance improvements.
**Model Deployment**:
Deploy models into production using APIs, Docker containers, and cloud platforms such as AWS, GCP, or Azure.
**Research & Innovation**:
Stay updated with the latest AI/ML advancements, tools, and best practices to drive continuous innovation within the team.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
Strong experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
Proficiency in Python and relevant libraries (NumPy, Pandas, Transformers, etc.).
Experience deploying models in cloud environments.
B. Tech
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