At a Glance
- Tasks: Build and integrate cutting-edge AI solutions into enterprise environments.
- Company: Join a forward-thinking tech company in Singapore.
- Benefits: Long-term role with competitive salary and growth opportunities.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 4+ years in ML engineering, strong Python skills, and cloud experience.
The predicted salary is between 60000 - 80000 € per year.
This ML Ops / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects and DevOps teams to design, implement and optimize AI pipelines and infrastructure.
Key Responsibilities
- Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
- Ensure seamless deployment and integration between cloud/prem environments (AWS).
- Integrate AI models into production environments using containerized platforms such as OpenShift.
- Implement and maintain network security protocols to safeguard AI systems and data pipelines.
- Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
- Monitor and optimize system performance, reliability, and scalability.
- Support CI/CD processes and infrastructure for AI model deployment and updates.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in Machine Learning engineering or AI system integration.
- Bash and Unix/Linux command-line toolkit is a must-have.
- Hands-on experience with OpenShift, Docker, Kubernetes.
- Knowledge of cloud platforms (e.g. AWS) is a must-have.
- Exposure to data and network security and compliance in AI systems.
- Knowledge of API integration and microservices architecture.
- Proficiency in Python used both for automation and ML-related tasks.
- Knowledge of Workflow Orchestrator, such as Ctrl-M.
- Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
- Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
- Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.
Soft Skills
- Excellent communication skills.
- Attention to detail.
- Strong problem-solving mindset with a can-do attitude.
- Strong Organizational skills.
- Visual Thinking.
Key Domain/ Technical Skills
- MLOps & AI Platform Engineering
- Cloud, Container & Infrastructure Integration
- Security & Enterprise Integration
Integration Engineer in London employer: CLPS Global
As an Integration Engineer at our Singapore location, you will be part of a dynamic team that thrives on innovation and collaboration. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and hands-on experience with cutting-edge AI technologies. Enjoy the unique advantage of working in a vibrant city known for its technological advancements and diverse community, making your role both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Integration Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI pipelines or cloud integrations. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to MLOps and integration. Practice explaining your past projects and how you tackled challenges, as this will help you stand out during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Integration Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML Ops and integration engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills:Since this role involves a lot of technical work, make sure to mention your proficiency in Python, Linux scripting, and any experience with tools like OpenShift or AWS. We’re looking for those hands-on experiences that set you apart!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at CLPS Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Linux shell scripting, and OpenShift. Brush up on your knowledge of AWS and containerisation tools like Docker and Kubernetes, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to AI integration or MLOps. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you tackled complex problems effectively.
✨Understand AI Workflows
Familiarise yourself with AI workflows and how they translate into engineering solutions. Be ready to discuss how you’ve collaborated with cross-functional teams in the past and how you can contribute to optimising AI pipelines in this role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
