Job Overview:

We are seeking an experienced Senior GenAI Engineer to join our team at CVS. The ideal candidate will have a strong foundation in AI, deep learning, and machine learning, with expertise in developing prototypes, Proof of Concepts (PoCs), and Minimum Viable Products (MVPs). You will work with cutting-edge technologies and tools to help shape the future of AI-driven solutions.

Key Responsibilities:

Develop prototypes, PoCs, and MVPs using AI/ML techniques and frameworks.
Work collaboratively with cross-functional teams to build scalable and impactful AI solutions.
Utilize deep learning frameworks (TensorFlow, Keras, PyTorch) and machine learning principles to solve complex business problems.
Integrate multi-modal data and AI tools for creating intelligent, agent-based systems.
Implement and manage AI models using platforms like Google Model Garden, Amazon Bedrock, and Nvidia Nim.
Design and implement robust machine learning pipelines with a focus on scalability and performance.
Provide technical leadership and guidance to junior engineers and cross-functional teams.

Primary Skills:

Programming Languages: Python, PySpark
AI/ML Tools: Great Expectations, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX)
ML Frameworks: TensorFlow, Keras, PyTorch, Sci-Kit Learn, CNTK, MXNet
Distance Metrics: Hamming Distance, Euclidean Distance, Manhattan Distance
AI/ML Platforms: Hugging Face, Langchain, OpenAI API
Cloud Platforms: Google Model Garden, Amazon Bedrock, Nvidia Nim
Tools & Technologies: KubeFlow, BentoML

Job Requirements:

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
Programming Expertise: Proficient in Python, with hands-on experience using Hugging Face, Langchain, and OpenAI API.
Deep Learning Frameworks: Hands-on experience with TensorFlow, Keras, and PyTorch.
Cloud Platforms: Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia Nim.
Multi-Modal Data and AI Tools: Experience with multi-modal data and agent-based tools for intelligent system development.

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