Machine learning lead [up to 30k]

placeKuala Lumpur calendar_month 

about the company

with a strong focus on delivering real business outcomes, our client specializes in data strategy, governance, advanced analytics, AI, digital product design, and engineering.

about the job
  • develop monitoring tools to ensure optimal performance of deployed deep learning systems.
  • implement MLOps best practices for model version control and managing region-specific inference pipelines.
  • write Python scripts to automate and manage data flow between various hosted machine learning endpoints.
  • collaborate with the engineering team to design, implement, and fine-tune deep learning models.
knowledge, skills and experience
  • proficient in machine learning frameworks.
  • hands-on experience with cloud services, particularly AWS.
  • skilled in containerizing deep learning models using tools such as Docker.
  • experienced in deploying containerized deep learning models to cloud platforms.
  • exposure to Infrastructure as Code (IaC) tools is an added advantage.

how to apply

interested candidates may contact Hua Hui at +6017 960 0313 for a confidential discussion.
  • experience
5 years
  • skills

Python, PyTorch, Tensorflow, SQL, AI, Gen AI, ML, MLOps, AWS, Docker, K8, Databricks, Snowflake, LLM, - qualifications

diploma or Bachelor’s degree in Computer Science, Information Technology, or a related field
  • education

Bachelor Degree

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Senior mlops engineer [up to 25k]

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libraries including scikit-learn, PyTorch, and Tensorflow  •  have experience with the end-to-end Machine Learning SDLC how to apply interested candidates may contact Hua Hui at +6017 960 0313 for a confidential discussion. show more  •  experience   5.  ..