Description

AI/Client Engineer :

• Proficiency in Programming: Strong coding skills in Python or similar languages commonly used in machine learning and data science.
• Generative AI Expertise: Experience in prompt engineering, familiarity with large language models (LLMs), vision-language models (VLMs), vector databases, and advanced techniques like Tree of Thought for enhancing model capabilities and performance.
• Experience with Client Frameworks: Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Knowledge of Algorithms: Deep understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.
• Data Handling Skills: Expertise in data preprocessing, feature engineering, and handling large datasets using tools like Pandas, NumPy, or similar.
• API Development Experience: Strong API development experience using Fast API, Django etc.
Years of Experience:


 

Key Skills
Education

Any Graduate

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