Machine Learning Engineer (ML) - Permanent Role

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking an experienced Senior Data Scientist / Machine Learning Engineer to analyze data, build ML models, and deliver analytics solutions for customers in the delivery service sector.

You will shape data-driven decisions and collaborate with cross-functional teams to deploy production-ready models. You will train, evaluate, and deploy models, monitor performance, and stay current with ML advancements.

Qualifications

• At least 3 years of implementation and deployment experience in machine learning and statistical data analysis on large datasets.
• Experience translating business questions into analytical problems using Python, R, SAS, SQL and visualization tools.
• Proficiency in Data Wrangling, Data Visualization, DBMS, SQL and Python.
• Experience with Scrum or Agile development is preferred.
• Experience with listed tools such as Kubernetes, Docker/Podman, Power BI, MS Access, SharePoint is advantageous.

Responsibilities

• Perform data analysis and insights; use statistics and visualization to communicate findings to stakeholders.
• Develop, train, and deploy ML models and algorithms to solve business problems.
• Train and evaluate models using cross-validation, hyperparameter tuning, and ensemble methods.
• Deploy models into production; implement APIs and integrate with systems for real-time decisions.
• Monitor model performance and iteratively improve models based on feedback.
• Stay up-to-date with advances in ML/AI and assess new tools and methodologies.

Skills

Data Wrangling

Data Visualization

DBMS

SQL

Python

Tools

Kubernetes

Docker/Podman

Power BI

MS Access

SharePoint

TensorFlow

PyTorch

Qlik Sense

Job description

We are seeking an experienced Senior Data Scientist / Machine Learning Engineer to join our dynamic team. As a Senior Data Scientist / Machine Learning Engineer, you will play a key role in analyzing and presenting data, developing and implementing machine learning models and algorithms to solve complex business problems. Your expertise will contribute to enhancing the delivery service of analytics solutions and products to our customers.

Job Responsibilities

• Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.
• Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyper parameter optimization, and ensemble methods.
• Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.

Job Requirements

• Shall have at least three (3) years of implementation and deployment experience in machine learning and statistical data analysis on large datasets.
• Shall have experience in translating business questions into analytical problems and using statistical techniques to derive actional insights using statistical software (Python, R, SAS), database languages (SQL), visualization tools (Qlik Sense), and deep learning framework (TensorFlow, PyTorch).
• Shall have the following skillsets: Data Wrangling, Data Visualization, DBMS, SQL, Python
• Preferably have completed at least one (1) project using Scrum or equivalent Agile development framework.
• Experience in these products/tools would be advantageous: MS Access (Front-end), SharePoint (Back-end), Power BI (Visualisation), Kubernetes, Docker/Podman, Microservices Architecture, DevSecOps Methodology

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [e-mail] for immediate processing.

Only shortlisted candidates will be notified.