Job Description:
Key Responsibilities:
Generative AI & LLM Development:
- Build and deploy RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.
- Develop agentic AI solutions using LangChain and AWS Bedrock/Foundational Models.
- Fine-tune and optimize LLMs for domain-specific tasks, ensuring accuracy and performance.
- Integrate vector databases (e.g., Pinecone, FAISS) for semantic search and knowledge base management.
Model Training & MLOps:
- Train, evaluate, and deploy machine learning models on AWS SageMaker, including pipeline automation.
- Implement MLOps best practices, including model versioning, CI/CD, monitoring, and performance tracking.
- Collaborate with DevOps and Data Engineering to ensure scalable deployment and data readiness.
Integration & Communication:
- Work closely with product and backend teams to integrate AI features into core applications.
- Communicate model decisions, limitations, and performance to both technical and non-technical audiences.
- Stay current with LLM advancements, foundation models, and emerging frameworks.
- Mentorship & Strategic Advisory: Mentor junior AI/ML resources and collaborate with cross-functional teams to align AI solutions with business goals. Communicate AI/ML strategies and insights to both technical and non-technical stakeholders.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
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