AI ML Ops Engineer

Job Description:

Mandatory Skills

• Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup.

• Experience in designing and implementing machine learning models using scikit-learn and TensorFlow.

• Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch.

• Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock.

• MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes).

• API Development: Ability to develop and maintain APIs following RESTful principles.

• Technical proficiency in Elastic, Python, YAML, and system integrations.

Nice to Have:

• Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python.

• Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI. AND 8+ years of experience

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.

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