Required Skills : ,Python, Enterprise Data Management, API, Data Architect, Vector Databases, Large Language Model (LLM)

As a Engineer, you will leverage your expertise in Python, Large Language Models (LLM), Vector Databases, API, Data Architecture, and Enterprise Data Management to drive innovative solutions.

With 6 to 10 years of experience, you will play a crucial role in developing and managing data systems that support our company's mission and impact society positively.

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 ML 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.
• Model Deployment: Proven experience in deploying machine learning models into production environments, using tools like Docker, Kubernetes, or cloud services like Google Cloud Platform.