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Achieve Group

Machine Learning Engineer

Achieve Group
Switzerland · Contract · Mid-Senior

We are partnering with a leading technology services organisation to hire a Data Scientist / Machine Learning Engineer who is passionate about turning data into actionable business insights and building machine learning solutions at scale.

This is an excellent opportunity to work on enterprise-level data and AI initiatives while collaborating with stakeholders, data engineers, and technology teams across the business.


What You'll Be Doing

• Develop, train, and optimize machine learning models for predictive and classification use cases

• Perform exploratory data analysis, feature engineering, and model validation

• Translate business challenges into data-driven solutions and actionable recommendations

• Design experiments, statistical analyses, and hypothesis testing frameworks

• Create compelling visualizations and insights for business stakeholders

• Monitor and improve machine learning models in production environments

• Work closely with data engineering teams to build scalable analytical solutions


What We're Looking For

• Min 3+ years of experience in Data Science, Machine Learning, AI, or related fields

• Strong hands-on experience with Python and SQL

• Solid understanding of machine learning algorithms, statistics, and predictive analytics

• Experience deploying ML models in production environments

• Exposure to cloud platforms such as Azure, AWS, or GCP

• Strong communication skills with the ability to engage both technical and business stakeholders

Bonus Points

• Experience with Databricks, Spark, Airflow, Azure Data Factory, or AWS Glue

• Familiarity with MLOps, Docker, Kubernetes, or CI/CD practices

• Exposure to Generative AI, LLMs, or AI foundation models


Why Apply?

✅ High-impact AI and machine learning projects

✅ Opportunity to work with enterprise-scale datasets

✅ Collaborative and innovative environment

✅ Attractive compensation package

✅ Exposure to modern cloud and AI technologies


Important Eligibility Requirement

This position supports a government-regulated project and is subject to mandatory security clearance requirements.

Applicants must be eligible to obtain and maintain the required security clearance as part of the project onboarding process. Candidates who do not meet the client's clearance eligibility requirements will not be able to be considered for this role.


If you are passionate about technology, enjoy solving problems, and want to build your career within a professional enterprise IT environment, we would love to hear from you.


How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to [email protected] for a confidential discussion


Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!


By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.


Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.


Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.


We regret that only shortlisted candidates will be notified.

Key Skills

Ranked by relevance

machine learning ai cloud aws data analysis kubernetes python docker spark mlops cicd
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Posted
Jun 16, 2026
Type
Contract
Level
Mid-Senior
Location
Singapore

Industries

IT Services IT Consulting Software Development Technology Information Media

Categories

Engineering Information Technology Research

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