Senior Python AI Engineer
Quick Summary
Job Description: DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services,
DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on dxc.com.
Responsibilities
~1 min read- →
Develop, integrate, and optimise AI/ML solutions for business use cases
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Translate requirements into scalable AI applications (APIs, microservices)
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Work closely with Data Scientists, architects, and business/IT teams in an agile setup
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Support production deployment and industrialization of AI models
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Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate development
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Break down complex problems into structured prompts and validate AI-generated code
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Build and maintain MLOps pipelines (training, versioning, monitoring)
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Ensure code quality through testing, validation, and performance optimisation
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Optimise applications for scalability, latency, and cost efficiency
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Contribute to technical documentation (code, APIs, models, reusable prompts)
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Stay updated on emerging AI technologies and share best practices with the team
Requirements
~1 min read5+ years of experience in Python development with AI/ML focus
Strong experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain)
Hands-on experience with LLMs (fine-tuning, prompt engineering, RAG, agents)
Experience using AI coding tools (Copilot, ChatGPT, Claude, Cursor) for development
Strong knowledge of cloud platforms (AWS, Azure, or GCP)
Experience with MLOps and CI/CD pipelines for AI solutions
Good understanding of data engineering (data pipelines, preprocessing, feature engineering)
Experience with databases (SQL, NoSQL, Vector DBs)
API development experience (FastAPI, Flask, REST)
Familiarity with Docker and Kubernetes
Strong focus on testing and code quality (pytest, unittest, coverage tools)
Experience with Git (GitHub/GitLab)
Nice to Have
~1 min readExperience in Computer Vision and/or NLP
Strong problem-solving and analytical thinking
Ability to structure problems and write effective AI prompts
Critical mindset towards AI-generated code
Pragmatic approach balancing speed and quality
Strong collaboration and communication skills
Self-driven with strong ownership
Agile and adaptable mindset
Willingness to share knowledge and mentor others
Agile, fast-paced innovation environment
Close collaboration with cross-functional teams (data, engineering, business)
Strong focus on AI-driven development and rapid delivery
English-speaking environment (mandatory)
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
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.
Location & Eligibility
Listing Details
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- September 30, 2026
Signal breakdown
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