Data Scientist & ML Engineer — Production ML & Analytics

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

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.