Software Architect: AI & Machine Learning (REMOTE)

Job Description:

DXC Technology (NYSE: DXC) helps global companies run their mission critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience. Learn more about how we deliver excellence for our customers and colleagues at DXC.com.

At DXC we use the power of technology to deliver mission critical IT Services that our customers need to modernize operations and drive innovation across their entire IT estate. We provide services across the Enterprise Technology Stack for business process outsourcing, insurance, analytics and engineering, applications, security, cloud, IT outsourcing, and modern workplace.

Our DXC Insurance Services help our customers optimize and transform operations, lower costs, increase agile new channels to growth. Our people, technology and best practices improve and automate highly complex business processes middle and back offices- while facilitating customer experience transformation.

We are seeking a highly skilled and experienced AI/ML Architect to join our dynamic team. The ideal candidate will have a strong technical background in machine learning and artificial intelligence, along with expertise in technical advising and project leadership. This role involves designing and implementing end-to-end AI/ML solutions, collaborating closely with cross-functional teams to align technical strategies with business objectives.

Key Responsibilities:

• Design and Implementation:

  • Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques.
  • Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT.
  • Implement generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face.
  • Ensure the development of robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring.

• Technical Proficiency:

  • Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python.
  • Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources.

• Technical Advisory and Mentorship:

  • Provide technical guidance and support to cross-functional teams in integrating AI/ML solutions into business processes and products.
  • Offer technical insights and recommendations to support decision-making processes.
  • Lead strategic discussions and technology assessments to ensure alignment of AI/ML projects …