F
Machine Learning Engineer
F
Machine Learning Engineer
fpt asia pacific pte. ltd.- Posted 6 days ago
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Job Description
Job Description
- Develop and maintain backend services for Data and ML
- Optimize and manage databases
- Deploy applications to Azure cloud leveraging on the full spectrum of the Azure cloud services
- Automate model training, testing and deployment using CI/CD
- Understand and implement metrics to verify effectiveness and soundness of the ML model
Requirements
- Formal education in Computer Science or a related field, such as Software Engineering or Data Engineering
- 5 years of relevant work experience in developing backend services and working with relational databases
- Experience working on Microsoft Azure, OpenAI, Claude
- Experience working on Generative AI apps
- Experience working with cloud services, preferably Azure
- Experience with Python and related ML libraries (eg. Pandas, Pytorch)
- Experience with database languages (e.g. SQL)
- Experience with CI/CD, preferably Jenkins
- Experience with Docker
- Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts
- Experience in Agile working environment
Preferred requirements
- Experience with Dagster/Airflow is preferred
- Experience with Snowflake is preferred
- Experience with Azure OpenAI API is preferred
- Good to have experience with using coding agents in development
More Info
Key Skills
About Company
Skills:
Azure Databricks, XGBoost, Spark, Python, Etl, scikit-learn, governance frameworks, data quality validation, pipeline orchestration, model performance tracking, Production Monitoring, cloud data platforms, drift detection, feature engineering
Skills:
Python, Sql, experimentation, Modeling
Skills:
Sql, Machine Learning, statistical evaluation, decision systems, data pipelines, production programming language, backend services
Skills:
retargeting , Machine Learning, Jax, C, Tensorflow, Pytorch, Animation, Python, Physics-based Character Control, Autoregressive Transformer Motion Models, Motion Synthesis, reinforcement learning, Motion Diffusion, Generative Models, Motion Matching, VAEs, Flow Matching Models, Blending
Skills:
statistical data analysis , data wrangling , Machine Learning, Qlik Sense, Power Bi, SAS, Sql, Tensorflow, Pytorch, Docker, Data Visualization, Dbms, Kubernetes, Python, DevSecOps Methodology, R, Microservices Architecture, Podman