[T03] Data Scientist / Machine Learning Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking an experienced ML Engineer to translate business problems into analytical solutions and build production-ready AI systems in Singapore.

You will design, train, and deploy ML models, collaborate with software and DevOps teams, and continuously improve model performance. Strong Python/SQL skills and hands-on experience with TensorFlow or PyTorch are required.

Qualifications

• 3+ years 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 and DBMS.
• Experience with TensorFlow or PyTorch and at least one BI/visualisation tool such as Qlik Sense.

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 validation techniques, hyperparameter tuning, and optimisation methods.
• Deploy ML models into production environments and integrate them with applications via APIs.
• Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions.
• Monitor deployed models, troubleshoot issues, and improve model accuracy and efficiency.
• Present findings to technical and non-technical stakeholders.
• Stay current with advancements in AI, ML, and data science; recommend new tools and best practices.

Skills

Python

SQL

Data Wrangling

Data Visualisation

DBMS

Tools

TensorFlow

PyTorch

Qlik Sense

SQL

Python

Kubernetes

Docker

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:PythonSQLData WranglingData VisualisationDatabase Management Systems (DBMS)
• Experience with one or more of the following:TensorFlowPyTorchRSASQlik 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

(EA Reg No: 20C0312)