
Team Lead - AI Application
Salary undisclosed
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- Salary up to $14,000 + Bonus
- Hybrid working arrangement from Monday to Friday
- Define engineering scope of work based on defined features and requirements.
- Integrate software engineering, QA, DevSecOps and ML-ops frameworks, guidelines and processes taking into account industry best practices, into software development activities.
- Collaborate with both internal & external stakeholders to define software features and implement software products that meet the business needs.
- Manage team's resources and work performance to match individual aspiration with stakeholders' requirements.
- Keep abreast of new AI and Software engineering practices and technologies, and continuously improve S&S CoE's engineering internal workflow and practices.
- min. Degree in Computer Science, Data Science or any relevant discipline
- min. 6 years of relevant work experience relating to software engineering
- Experience in designing, developing, and monitoring machine learning and deep learning solutions using Docker, Kubernetes or Kubeflow
- min. 3 years working in Cloud environment (AWS / Azure)
- Competent in Python programming language, and able to do Bash & PowerShell Scripting on Linux Operating system.
- Good to have experience in AI-related technologies, AI/ML, Data Science and Data Analytics.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data not required at this application stage.
- To withdraw consent, email [email protected].
- All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
ScienTec Consulting Pte Ltd - 11C5781
- Salary up to $14,000 + Bonus
- Hybrid working arrangement from Monday to Friday
- Define engineering scope of work based on defined features and requirements.
- Integrate software engineering, QA, DevSecOps and ML-ops frameworks, guidelines and processes taking into account industry best practices, into software development activities.
- Collaborate with both internal & external stakeholders to define software features and implement software products that meet the business needs.
- Manage team's resources and work performance to match individual aspiration with stakeholders' requirements.
- Keep abreast of new AI and Software engineering practices and technologies, and continuously improve S&S CoE's engineering internal workflow and practices.
- min. Degree in Computer Science, Data Science or any relevant discipline
- min. 6 years of relevant work experience relating to software engineering
- Experience in designing, developing, and monitoring machine learning and deep learning solutions using Docker, Kubernetes or Kubeflow
- min. 3 years working in Cloud environment (AWS / Azure)
- Competent in Python programming language, and able to do Bash & PowerShell Scripting on Linux Operating system.
- Good to have experience in AI-related technologies, AI/ML, Data Science and Data Analytics.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data not required at this application stage.
- To withdraw consent, email [email protected].
- All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
ScienTec Consulting Pte Ltd - 11C5781