Machine Learning & AI Engineer (USA Remote)

$84,100 - $156,100/Yr

DXC Technology - Austin, TX

Full-time - Mid Level

Remote - Austin, TX

Professional, Scientific, and Technical Services

About the position

The Machine Learning & AI Engineer at DXC Technology is responsible for leading software development projects focused on machine learning and artificial intelligence. This role involves guiding a team of engineers, collaborating with cross-functional teams, and implementing innovative AI solutions to enhance business processes. The ideal candidate will possess a strong technical background in machine learning, generative AI, and project management, ensuring the successful delivery of complex software products.

Responsibilities

• 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.
• 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, 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.
• 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.
• 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.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Health insurance coverage
• Dental insurance coverage
• Vision insurance coverage
• Employee wellness programs
• Life insurance
• Disability insurance
• Retirement savings plan
• Paid holidays
• Paid time off