Machine Learning & AI Engineer (USA Remote)

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 Technical Specialist/Lead to join our team. This role combines hands-on development with mentorship and strategic advisory responsibilities. The ideal candidate will have a strong technical background in machine learning, Generative AI and artificial intelligence, along with proven leadership and coaching abilities. You will be responsible for guiding design and development efforts, mentoring team members, and providing strategic direction for AI/ML projects.

In this role, you will take ownership of your responsibilities, offering expertise in process improvement and best practices implementation, and sharing your knowledge and ideas with the team.

Key Responsibilities

• Support and Development:
  • Guide a team of software engineers in developing software products and solutions, providing guidance, code reviews, and technical support.
  • Collaborate with cross-functional teams to define project requirements, ensuring successful delivery of software projects.
  • Assist in the professional growth and mentorship of team members through regular feedback, coaching, and career development planning.
  • Contribute to the execution of the software engineering strategy, participating in strategic discussions and technology assessments.
  • Manage project tasks and assignments, prioritizing and planning work to meet project goals.
  • Monitor project timelines, resource allocation, and budgets to ensure efficient project execution.
  • Proactively identify and mitigate project risks, resolving issues as they arise.
  • Promote a culture of innovation, collaboration, and continuous learning within the team.

• Hands-on Development:
  • Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques.
  • Implement generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face.
  • 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.
  • Ensure 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.

• Mentorship:
  • Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth.
  • Provide technical guidance and support, helping team members overcome challenges and achieve project goals.
  • Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives.
  • Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning.

• Strategic Advisory:
  • Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products.
  • Provide strategic insights and recommendations to support decision-making processes.
  • Communicate effectively with stakeholders at various levels, including technical and non-technical audiences.

Qualifications

• Bachelor’s degree in a relevant field (e.g., Computer Science) or equivalent combination of education and experience.
• Typically, 7+ years of relevant work experience in AI/ML/GenAI
• 10+ years of overall work experience. With proven ability to  manage projects and activities.
• Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
• Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT.
• Experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face.
• Proficient programming skills in Python and experience with cloud platforms like AWS.
• Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc., is a plus.
• Proven experience leading a team of data scientists or machine learning engineers on complex projects.
• Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines.
• Excellent communication skills and the ability to convey complex technical concepts to diverse audiences.

Preferred Qualifications

• Experience in setting technical direction and strategy for AI/ML projects.
• Ability to mentor and coach junior team members, fostering growth and development.
• Proven track record of successfully managing AI/ML projects from conception to deployment.

Work Environment

• Remote work within the United States of America.