WE MOVE MOUNTAINS PTE. LTD. Hiring! Full Time AI MLOps (Machine Learning Operations) Engineer in , Earn up to SGD 9,000 - Ricebowl

ABOUT THE ROLE

Our client, an international organization in the defence sector, is seeking a dynamic AI MLOps Engineer to join its team in Singapore.

As an AIMLOps Engineer, you will work alongside the DevSecOps team to rapidly prototype AI-powered solutions, conduct proofs of concept (PoCs), and develop high-impact AI use cases that enhance software development across code specification, implementation, testing, and delivery.

This is a hands-on, fast-paced role suited to an individual who thrives at the intersection of AI innovation, MLOps, and software engineering and enjoys turning emerging technologies into practical, scalable solutions.

This is a rare and exciting opportunity for someone passionate about AI and machine learning to work on innovative, real-world applications in a highly specialised technology environment

IMPORTANT: APPLICATIONS VIA GREETSQUARE ONLY (JOB LINK BELOW)
Please take note of the application process before applying.

This is a confidential recruitment opportunity and all applications must be submitted exclusively through the Greetsquare platform. To ensure a fair and consistent shortlisting process, applications submitted through other channels will not be considered.

As part of the selection process, shortlisted candidates will be evaluated based on their Greetsquare profile and Video Profile and may also be required to participate in a video interview .

This is your opportunity to go beyond your resume and showcase your communication style, personality, and the professional behind your qualifications and experience.

The REAL you - something beyond AI!

If you are interested in this opportunity, please ensure that your Greetsquare profile is complete, your video profile has been uploaded, and your personal information is fully updated before submitting your application via the link below:

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Please note that incomplete profiles and / or missing video profiles may affect your eligibility for consideration

Key Responsibilities

AI Use Case Development and Prototyping

• Develop and rapidly iterate on AI-driven prototypes that support and streamline developer workflows, including code specification, code generation, and testing automation.
• Collaborate with product and DevSecOps teams to identify high-impact AI use cases that improve software development and delivery efficiency.
• Drive proof of concept (PoC) initiatives, transforming experimental AI ideas into feasible and scalable solutions
• Implement automation to improve repeatability and reduce manual tasks in the development pipeline, such as auto-code generation, static code analysis, and intelligent error detection.
• Integrate automation tools that improve developer productivity, streamline testing, and optimize release cycles.
• Stay current with the latest advancements in Al and machine learning technologies.

MVP Development and Iterative Testing

• Build Minimum Viable Products (MVPs) for new AI solutions, focusing on quick deployment, testing, and user feedback.
• Establish efficient testing and evaluation frameworks to assess the effectiveness of AI models and rapidly iterate on improvements.
• Collaborate with developers and QA teams to integrate AI-based prototypes into the broader software lifecycle and measure productivity impact.

End-to-End ML Pipeline Development

• Design and deploy scalable ML pipelines tailored to rapidly evolving prototypes, with robust model training, testing, deployment, and monitoring processes.
• Manage versioning, model retraining, and performance tracking to ensure the continuity of high-quality AI solutions in the production environment.
• Collaborate with cross-functional teams to iterate on solutions based on developer feedback and usage data.
• Establish version control, deployment, and monitoring standards for ML models across the production environment.
• Develop tools and processes for A/B testing, canary releases, and other ML model rollout techniques.
• Ensure ML models are efficiently integrated within the internal Software Factory.

Collaboration with DevSecOps Team

• Work closely with DevSecOps engineers to integrate ML workflows with existing CI/CD pipelines.
• Enhance and support security measures for ML processes, ensuring compliance with DevSecOps policies and protocols.
• Write scripts and automate workflows to manage ML pipeline processes, ensuring faster, reliable, and secure model deployments.
• Integrate automation into DevSecOps workflows, ensuring repeatability and reducing manual intervention.

Documentation and Compliance

• Document AI use cases, PoCs, MVPs, and best practices for the integration of AI within the DevSecOps workflow.
• Create guidelines for evaluating AI model effectiveness, usability, and productivity impact.

Qualifications

Education and Experience

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 2-3 years of experience in MLOps, or AI experimentation with a strong focus on rapid prototyping and MVP development.

Technical Skills

• Proficiency in Python, Golang, Rust or other relevant languages.
• Experience with ML frameworks (TensorFlow, PyTorch, LangChain), deployment platforms (Kubernetes) and ML pipeline tools (Kubeflow, MLflow).
• Familiarity with CI/CD tools (GitLab CI)
• Knowledge of infrastructure-as-code (IaC) tools like Terraform.
• Understanding of data pipelines and tools (e.g., Apache Kafka, Spark) for data processing and transformation.
• Experience in developing Restful APIs for Al models.
• Good understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
• Knowledge of Retrieval Augmented Generation (RAG) techniques.
• Familiarity with prompt engineering techniques like instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.

Prototyping and Experimentation Skills

• Demonstrated experience in developing MVPs and iterating on product prototypes with quick turnaround times.
• Skilled in conducting PoCs and building scalable solutions based on experimental results and user feedback.
• Ability to work in a fast-paced, agile environment with a focus on continuous experimentation and learning.

Soft Skills

• Strong problem-solving skills and an innovative mindset geared towards improving developer productivity.
• Excellent collaboration and communication skills to work effectively across DevSecOps, product, and developer teams.
• Self-driven, adaptable, and capable of managing multiple AI-driven projects in a dynamic setting.

Preferred Skills

• Experience with AI models for code generation, automated testing, and intelligent debugging.
• Knowledge of security protocols and compliance measures for integrating AI within a DevSecOps environment.
• Experience with Agile methodologies.
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana) and model explainability tools.

This is a unique opportunity to drive innovation at the intersection of AI and software development, directly impacting the productivity of our development teams. If you’re passionate about rapid prototyping, AI experimentation, and building scalable solutions that empower software developers, we’d love to have you on our team.

REMINDER - HOW TO APPLY

This position is advertised on behalf of a client by Greetsquare, operated by We Move Mountains Pte Ltd | UEN 202540174G.

IMPORTANT: APPLICATIONS VIA GREETSQUARE ONLY

All applications for this position must be submitted exclusively through the Greetsquare platform as follow:

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Applications submitted through any other channel will not be considered.

As part of our shortlisting process, candidates will be evaluated through their Greetsquare Profile and Video Profile — giving you the opportunity to showcase not only your qualifications and experience, but also the professional behind them.

Before applying, please ensure that your Greetsquare profile is complete, up to date, and includes your Video Profile. An incomplete profile or missing Video Profile may affect your consideration for the role.

Don't miss out on this opportunity because your profile isn't ready.

Go beyond your resume. Show us who you really are.

Complete your profile. Upload your Video Profile. Apply now.

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