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DXC Technology is hiring: Machine Learning & AI Engineer (USA Remote) in Bee image - Rise Careers
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DXC Technology is hiring: Machine Learning & AI Engineer (USA Remote) in Bee

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 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. 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/?LicenceIdc38a7700-5aa2-48a3-b95a-22e6e1fb0721&ProductTypeOnlineApplicant&SubTypePG) 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-ERdxc.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 .
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What You Should Know About DXC Technology is hiring: Machine Learning & AI Engineer (USA Remote) in Bee, DXC Technology

Are you an innovative Machine Learning & AI Engineer looking to join a forward-thinking company? Look no further than DXC Technology! We’re on the hunt for a talented individual to join our team remotely in the USA, and we’re excited to expand our horizons in the realm of artificial intelligence and machine learning. At DXC, we help global companies transform their operations, and you’ll play a crucial role in guiding the development of cutting-edge software products. In this position, you will not only develop and implement exciting machine learning models, but you will also lead a team of engineers, mentoring them and providing strategic direction on AI/ML projects. Your expertise in areas such as supervised and unsupervised learning, generative AI, and natural language processing will be central to our mission. We believe in collaboration and continuous learning, so you will work closely with cross-functional teams to ensure we meet project goals efficiently. You'll get to handle the technical intricacies while also focusing on mentorship, overseeing the professional growth of junior engineers. This role is perfect for someone who enjoys working independently within a remote setup while still having a significant impact on team success. If you’re passionate about leveraging technology to improve business processes and customer experiences, while also thriving in a fast-paced, innovative environment, we want to hear from you! Join us at DXC Technology, where your skills can really make a difference!

Frequently Asked Questions (FAQs) for DXC Technology is hiring: Machine Learning & AI Engineer (USA Remote) in Bee Role at DXC Technology
What qualifications are needed to become a Machine Learning & AI Engineer at DXC Technology?

To be considered for the Machine Learning & AI Engineer position at DXC Technology, candidates should possess at least a Bachelor's degree in Computer Science or a related field, along with typically 7 years of relevant work experience in AI, ML, or Generative AI. Experience with machine learning frameworks, including TensorFlow and PyTorch, and a strong programming proficiency in Python are essential. Moreover, proven leadership skills and project management experience will set candidates apart.

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What are the responsibilities of a Machine Learning & AI Engineer at DXC Technology?

As a Machine Learning & AI Engineer at DXC Technology, your responsibilities will include developing and implementing machine learning models, guiding a team of software engineers, and collaborating with cross-functional teams. You will also mentor team members, oversee project tasks, and ensure the successful delivery of AI/ML projects while proactively identifying and resolving any challenges that arise.

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What technologies will I work with as a Machine Learning & AI Engineer at DXC Technology?

At DXC Technology, you'll work with a variety of cutting-edge technologies. This includes developing generative AI solutions using frameworks like LangChain and Hugging Face, and utilizing AWS services such as Sagemaker and Lambda. You’ll also engage with common AI and ML libraries like TensorFlow, PyTorch, and scikit-learn, implementing both supervised and unsupervised learning techniques and contributing to the latest NLP models.

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What is the work environment for Machine Learning & AI Engineers at DXC Technology?

The work environment for Machine Learning & AI Engineers at DXC Technology is purely remote, offering flexibility and the opportunity to collaborate with colleagues across the United States. While you'll work independently, there is a strong emphasis on teamwork, communication, and collaboration with cross-functional teams, ensuring you remain connected and engaged with colleagues.

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What opportunities for career advancement exist for a Machine Learning & AI Engineer at DXC Technology?

At DXC Technology, career advancement opportunities for Machine Learning & AI Engineers are abundant. You’ll have the chance to lead projects, take on key mentorship roles, and shape the technical direction of AI/ML initiatives. Continuous learning and professional development are encouraged, allowing you to evolve your skills and potentially move into higher leadership or specialized roles.

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Common Interview Questions for DXC Technology is hiring: Machine Learning & AI Engineer (USA Remote) in Bee
Can you describe your experience with machine learning algorithms?

Certainly! When answering this question, focus on specific algorithms you've used, such as supervised or unsupervised learning techniques. Provide examples of projects where you've implemented these algorithms, discussing the data sets involved and the outcomes achieved. Emphasize your hands-on experience with popular ML frameworks like TensorFlow or PyTorch.

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What role does mentorship play in your work as a Machine Learning & AI Engineer?

Mentorship is key to nurturing talent and fostering a collaborative environment. In your answer, share specific examples where you've provided mentorship, detailing how it helped your colleagues grow and succeed. Highlight your approach to coaching and giving feedback, showcasing your commitment to team development.

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Describe a project where you had to overcome significant challenges in AI/ML.

In your response, highlight a particular project that had challenges such as data quality issues, algorithm complexities, or timeline constraints. Explain how you identified the problems, the steps you took to resolve them, and the outcome. This shows your problem-solving abilities and resilience.

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How do you stay updated with the latest advancements in AI and machine learning?

Discuss the resources you use to keep current, such as attending webinars, following industry-leading publications, or participating in online courses. By showcasing your commitment to continuous learning, you demonstrate a proactive attitude that is highly valued in the tech industry.

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What tools and frameworks do you prefer for developing machine learning models?

Mention specific tools you are proficient in, like TensorFlow, PyTorch, or scikit-learn. Talk about why you prefer certain tools, referring to their strengths (e.g., ease of use, community support) and how they've enhanced your productivity in past projects.

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Can you explain a deep learning model you’ve implemented?

Provide a concise overview of a deep learning model, such as a CNN or RNN. Describe its purpose, the data it was trained on, and the results it achieved. This not only displays your technical knowledge but also your ability to communicate complex concepts effectively.

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What is your approach to project management in machine learning projects?

Discuss how you prioritize tasks, allocate resources, and communicate with your team. Mention any tools or methodologies you use, such as Agile or Scrum, and share how you ensure projects stay on track and align with business goals.

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How do you handle feedback and criticism on your work?

Emphasize your openness to feedback as a key component of personal growth. Provide examples where constructive criticism improved your work or approach. This response showcases your adaptability and willingness to improve continuously.

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What strategies do you use for ensuring data quality in your AI/ML models?

Data quality is crucial for successful models. Discuss specific strategies you employ, such as data cleaning processes, validation checks, or leveraging version control for datasets. Highlighting your meticulous approach demonstrates your commitment to excellence.

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Why do you want to work for DXC Technology as a Machine Learning & AI Engineer?

When answering this, express your alignment with DXC's mission and values. Reference specific initiatives or projects at DXC that inspire you, and explain how you believe your skills will contribute to their success. This demonstrates your genuine interest in the role and the organization.

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Be an IT services company using the power of technology to build better futures for our customers, colleagues, environment and communities, helping our customers deliver business impact, and be the employer of choice.

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Full-time, remote
DATE POSTED
December 3, 2024

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