Job Description:
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.
The ideal candidate for this role will have a strong technical background in machine learning, Generative AI and artificial intelligence.
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.
Compensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $84,100 - $156,100.
Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology is an Equal Opportunity/Affirmative Action employer . All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age or genetic information. DXC's commitment to diversity and inclusive selection practices includes ensuring qualified long-term unemployed job seekers receive equal consideration for employment. View postings below.
We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters . To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.
Postings link (https://mandatoryview.com/?LicenceId=c38a7700-5aa2-48a3-b95a-22e6e1fb0721&ProductType=OnlineApplicant&SubType=PG)
Disability Accommodations
If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email (GSS-HR-ER@dxc.com) .
Please note: DXC will respond only to requests for accommodations due to a disability.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .
