Senior Python AI Engineer - ML, MLOps & AI Tools

DXC Technology; Petaling Jaya; On-site; MYR 90,000 - 120,000; Full time

Job summary

DXC Technology in Petaling Jaya, Malaysia is seeking an experienced AI/ML Developer to develop and optimize solutions for various business use cases. The ideal candidate will have over 5 years of experience in Python development with a strong focus on AI/ML and familiarity with cloud platforms.

The role emphasizes collaboration with Data Scientists and engineers in an Agile environment, pushing for innovative solutions using the latest technologies. You will contribute to production deployment and maintain MLOps pipelines for efficiency.

Qualifications

• 5+ years of experience in Python development with AI/ML focus.
• Strong experience with ML/DL frameworks like TensorFlow and PyTorch.
• Hands-on experience with LLMs including fine-tuning and prompt engineering.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with API development frameworks like FastAPI or Flask.

Responsibilities

• Develop, integrate, and optimize AI/ML solutions for business use cases.
• Translate requirements into scalable AI applications.
• Work closely with Data Scientists and architects in an agile setup.
• Support production deployment and industrialization of AI models.
• Build and maintain MLOps pipelines for monitoring.

Skills

Python development with AI/ML focus

Machine Learning frameworks (TensorFlow, PyTorch)

Experience with LLMs

Cloud platforms (AWS, Azure, GCP)

MLOps and CI/CD pipelines

API development (FastAPI, Flask)

Databases (SQL, NoSQL)

Docker and Kubernetes

Testing and code quality (pytest)

Git (GitHub/GitLab)

Job description

DXC Technology in Petaling Jaya, Malaysia is seeking an experienced AI/ML Developer to develop and optimize solutions for various business use cases. The ideal candidate will have over 5 years of experience in Python development with a strong focus on AI/ML and familiarity with cloud platforms.

The role emphasizes collaboration with Data Scientists and engineers in an Agile environment, pushing for innovative solutions using the latest technologies. You will contribute to production deployment and maintain MLOps pipelines for efficiency.