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.
