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Senior AI Engineer Job Opening In Singapore, Singapore – Now Hiring Eames Consulting Group


Job description

Responsibilities

  • Drive end-to-end application development and delivery for AI/ML initiatives.

  • Design, implement, and deploy scalable AI, ML, and DL models leveraging advanced techniques.

  • Build, fine-tune, and operationalize large language models and agentic AI solutions for enterprise-grade contexts.

  • Utilize leading cloud-based AI services (e.g., Azure OpenAI, AWS AI, or equivalents) for integrating state-of-the-art capabilities.

  • Work closely with data engineering to ensure seamless integration of data pipelines and optimized model deployment processes.

  • Implement MLOps/DevOps best practices for CI/CD, monitoring, and automation of model lifecycles.

  • Translate complex business challenges into technical solutions through close collaboration with stakeholders and cross-functional teams.

  • Continuously optimize deployed models for reliability, scalability, and production readiness.

  • Stay current on advancements in AI, ML, cloud, and data infrastructure, and proactively apply new concepts to drive innovation.

  • Contribute across multiple phases of the SDLC for technologic project delivery, interfacing with technical teams, vendors, and business leaders as needed.

  • Author clear and comprehensive technical documentation and design artifacts.

  • Conduct peer code reviews, unit testing, and remediation of defects identified during quality assurance or user acceptance test stages.

  • Ensure compliance with all internal project governance and external regulatory guidelines (e.g., audit, compliance, data governance).

Requirements

Education

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Experience & Skills

  • Minimum 5 years' experience in AI/ML/DL development, with advanced knowledge in deep learning and generative AI.

  • Strong proficiency in Python and common frameworks such as PyTorch or TensorFlow, and experience with distributed computing (e.g., Apache Spark) and SQL.

  • Hands-on experience with at least one open-source or managed MLOps platform (such as Kubeflow or MLflow).

  • Demonstrated ability to leverage enterprise cloud AI services (e.g., Azure AI or comparable platforms) for solution delivery.

  • Proficiency with data engineering concepts and tooling (e.g., cloud data factories, Delta Lake or equivalent).

  • Production experience deploying generative and agentic AI architectures (e.g., LangChain, semantic kernel, RAG pipelines, prompt engineering, vector databases).

  • Experience working with Agile and Waterfall methodologies in dynamic environments.

  • Solid understanding of DevOps and MLOps, including CI/CD automation, monitoring, version control, and familiarity with secure software development practices (DevSecOps).

EA Licence: 16S8091

EA Reg No.: R

Required Skill Profession

Other General


  • Job Details

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Unlock Your Senior AI Potential: Insight & Career Growth Guide


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Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior AI in Singapore, Singapore, highlighting market share and opportunities for professionals in Senior AI roles.

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Are You Looking for Senior AI Engineer Job?

Great news! is currently hiring and seeking a Senior AI Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Eames Consulting Group adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Senior AI Engineer Job Success

Eames Consulting Group interview tips for Senior AI Engineer

Here are some tips to help you prepare for and ace your Senior AI Engineer job interview:

Before the Interview:

Research: Learn about the Eames Consulting Group's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Final Thought:

To prepare for your Senior AI Engineer interview at Eames Consulting Group, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Eames Consulting Group's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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