MLOps Engineer
1 day ago
Key Responsibilities
Run and Maintain AI Solutions
- Develop and deploy machine learning models using Python and cloud platforms such as Azure, Google Cloud, and OpenShift.
- Manage and support proprietary AI systems, including in-house GPT-based applications.
- Design, build, and maintain AI-related APIs and backend services to power internal AI solutions.
- Build and sustain cloud-based backend applications with tools like Kubernetes and Docker to support AI platforms.
Optimize Performance and Scalability
- Actively handle service requests and incidents to ensure system reliability and continuous uptime.
- Profile, optimize, and fine-tune models and backend components to meet SLA standards.
- Assess and recommend emerging technologies or architectures to enhance system performance.
- Automate infrastructure deployment (IaC) and CI/CD pipelines for AI operations.
Additional Responsibilities
- Mentor and support junior and mid-level engineers in data science, software development, and data platform management.
- Innovate and strengthen AI platforms to prevent potential operational issues.
Qualifications
Must-Have:
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline.
- 5–7 years of practical experience in data science or software engineering with a focus on cloud technologies.
- Strong proficiency in Python and adaptable to learning other relevant languages.
- Working knowledge of SQL.
Nice-to-Have:
- Master's degree in Computer Science, Software Engineering, or related fields.
- Experience with Python libraries such as SQLAlchemy, FastAPI, and Pydantic.
- Familiarity with OpenAI APIs and large language models (LLMs).
- Background in IT infrastructure (servers and databases).
- Knowledge in prompt engineering.
- Experience with Azure data science services, GCP, and OpenShift.
- Understanding of SAP systems.
- Proficiency with relational databases (e.g., PostgreSQL).
- Hands-on experience with Kubernetes, Docker, cloud services, and CI/CD workflows.
- Advanced Git usage (GitHub, GitOps).
- Skilled in developing APIs that integrate with AI systems.
Job Types: Full-time, Permanent
Pay: RM7, RM10,000.00 per month
Benefits:
- Opportunities for promotion
- Professional development
Application Question(s):
- Available to start immediately?
Work Location: In person
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