Machine Learning Engineer (12-Month Contract)

About the Role Our client is seeking a Data Scientist / Machine Learning Engineer to support the development, deployment, and optimization of machine learning solutions that enable data-driven decision-making. The successful candidate will work closely with business stakeholders, data engineers, and technical teams to transform complex datasets into actionable insights and predictive models. Key Responsibilities • Analyze large and diverse datasets to identify trends, patterns, and business insights. • Develop, train, validate, and optimize machine learning models for predictive and classification use cases. • Perform data preparation, feature engineering, and model evaluation activities. • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions. • Design and conduct experiments, hypothesis testing, and statistical analyses to support business objectives. • Work closely with data engineering teams to prepare and optimize datasets for modelling and analytics. • Develop data visualizations and dashboards to communicate findings and recommendations effectively. • Monitor and maintain machine learning models in production environments to ensure performance and accuracy. • Contribute to the continuous improvement of data science and machine learning best practices. Requirements • Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related discipline. • Minimum 3 years of relevant experience in Data Science, Machine Learning, Artificial Intelligence, or related fields. • Strong proficiency in Python and SQL. • Hands-on experience developing and deploying machine learning models in production environments. • Good understanding of statistics, predictive analytics, machine learning algorithms, and model validation techniques. • Experience with data visualization tools such as Power BI, Tableau, or equivalent. • Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. • Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders. Preferred Skills • Experience with Spark, Databricks, Airflow, Azure Data Factory, AWS Glue, or similar data platforms. • Familiarity with MLOps practices, CI/CD pipelines, Docker, or Kubernetes. • Exposure to Generative AI, Large Language Models (LLMs), or AI foundation models will be advantageous. • Experience working with large-scale datasets and distributed computing environments. 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 andie.lin@achievegroup.asia 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.