Senior/ Machine Learning Engineer

talentsis pte. ltd.; Singapore; On-site; SGD 72,000 - 108,000; Full time

Job summary

talentsis pte. ltd. in Singapore seeks a hands-on Data Scientist/ML Engineer to translate business problems into analytics and AI solutions. You will design, train, and optimise models, deploying them via APIs and collaborating with software and DevOps teams to scale production-ready AI systems.

You will monitor models, communicate insights to technical and non-technical stakeholders, and stay current with AI advancements, applying best practices and new tools where applicable.

Qualifications

• 3+ years hands-on experience in machine learning implementation, deployment, and analysis of large datasets.
• Strong ability to translate business requirements into analytical solutions using ML techniques.
• Proficient in Python, SQL, Data Wrangling, Data Visualisation, and DBMS.
• Experience with TensorFlow and/or PyTorch; experience with RSA.
• Experience deploying ML models into production environments.
• Familiarity with Agile development methodologies such as Scrum (preferred).

Responsibilities

• Perform exploratory data analysis to uncover trends and actionable insights from large datasets.
• Translate business problems into analytical and machine learning solutions.
• Design, develop, train, and optimise ML models and algorithms.
• Evaluate model performance using validation, hyperparameter tuning, and optimisation methods.
• Deploy models into production environments and expose via APIs.
• Collaborate with software engineering and DevOps to build scalable AI solutions.
• Monitor deployed models, troubleshoot issues, and improve accuracy and efficiency.
• Present findings to technical and non-technical stakeholders.
• Stay current with AI advancements and recommend tools and best practices.

Skills

Python

SQL

Data Wrangling

Data Visualisation

DBMS

TensorFlow

PyTorch

RSA

Tools

Kubernetes

Docker

Podman

Power BI

Microsoft Access

SharePoint

Microservices Architecture

DevSecOps

Job description

Key Responsibilities

• Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets.
• Translate business problems into analytical and machine learning solutions.
• Design, develop, train, and optimise machine learning models and algorithms.
• Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
• Deploy machine learning models into production environments and integrate them with existing applications through APIs.
• Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions.
• Monitor deployed models, troubleshoot issues, and continuously improve model accuracy and efficiency.
• Present analytical findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay current with advancements in AI, machine learning, and data science, recommending new tools and best practices where applicable.

Requirements

• Minimum 3 years of hands-on experience in machine learning implementation, deployment, and statistical data analysis involving large datasets.
• Strong experience translating business requirements into analytical solutions using statistical and machine learning techniques.
• Proficient in: Python, SQL, Data Wrangling, Data Visualisation, Database Management Systems (DBMS).
• Experience with one or more of the following: TensorFlow, PyTorch, RSA, Qlik Sense.
• Experience deploying machine learning models into production environments.
• Familiarity with Agile development methodologies such as Scrum is preferred.

Nice to Have

Experience with any of the following technologies would be advantageous:

• Power BI
• Microsoft Access
• SharePoint
• Kubernetes
• Docker or Podman
• Microservices Architecture
• DevSecOps practices

Work Location

East / West