AI Engineer
AI Engineer
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Job Description
Job Description:
Core Responsibilities of an AI Engineer
Must have
- Integrate CI/CD pipelines
- Manage containers (e.g. Docker Kubernetes)
- Automate deployment and scaling processes
- Model Development & Deployment: Build scalable AI/ML models for real-world applications including NLP computer vision and GenAI use cases123.
- Data Engineering: Preprocess large-scale structured and unstructured datasets optimize pipelines and extract insights7.
- MLOps & Automation: Implement best practices for training deployment and monitoring of AI systems using tools like MLflow Docker and cloud platforms (AWS Azure GCP)4.
Good to have
- Collaboration: Work with cross-functional teamssoftware engineers data scientists product managersto integrate AI into products1.
- Research & Innovation: Stay updated with the latest AI trends research papers and tools (e.g. LangChain RAG LLMs)5.
- Mentorship: Guide junior engineers and contribute to team development3.
Skills & Qualifications
- Programming: Strong in Python with experience in TensorFlow PyTorch Scikit-learn and data manipulation libraries (Pandas NumPy)
- AI Concepts: Deep understanding of supervised/unsupervised learning NLP deep learning and GenAI.
- Tools & Frameworks: Experience with vector databases containerization orchestration and prompt engineering.
Soft Skills: Critical thinking stakeholder engagement conflict management and team building
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. Were committed to fostering an inclusive environment where everyone can thrive.
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Employment Type
Full-Time
