AI Engineer

Talentreq Partners Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Talentreq Partners Pte Ltd is seeking an experienced ML engineer to design, build, and deploy ML systems accelerating biotech R&D from drug discovery to clinical data analysis. You will design models for molecule property prediction and protein analysis, build scalable pipelines, and collaborate with wet-lab scientists and clinicians to translate research questions into AI solutions.

The role involves deploying models to production, evaluating foundation models, and ensuring reproducibility and

Qualifications

• Bachelor's/Master's/PhD in Computer Science, Bioinformatics, Computational Biology, or related field.
• At least 2 years of experience building and deploying ML models in production.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with biological/chemical data formats (FASTA, SMILES, PDB, etc.) is a strong plus.
• Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools.
• Understanding of statistics, experimental design, and scientific rigor.
• Strong communication skills for cross-functional collaboration with scientists.

Responsibilities

• Design and implement ML/AI models for molecule property prediction and related analyses.
• Build and maintain data pipelines for large-scale biological datasets.
• Collaborate with wet-lab scientists and clinicians to translate research questions into AI solutions.
• Deploy models into production systems (APIs, internal tools, lab platforms).
• Evaluate and integrate foundation models (protein language models, cheminformatics tools).
• Ensure reproducibility, validation, and documentation to meet scientific standards.
• Monitor model performance and iterate based on feedback.
• Stay current with AI advances in life sciences.

Skills

Python

ML frameworks

Data pipelines

Cross-functional collaboration

Communication

Bio data formats

Education

Bachelor's/Master's/PhD in Computer Science, Bioinformatics, Computational Biology

Tools

PyTorch

TensorFlow

scikit-learn

MLOps

AWS/GCP/Azure

FASTA/SMILES/PDB

Job description

Opportunity for an experienced professional to design, build, and deploy machine learning systems that accelerates biotech research and development — from drug discovery and molecular modeling to clinical data analysis and lab automation.

Role

• Design and implement ML/AI models for applications such as molecule property prediction, protein structure analysis, genomic data interpretation, or clinical trial optimization
• Build and maintain data pipelines for processing large-scale biological and chemical datasets
• Collaborate with wet-lab scientists, computational biologists, and clinicians to translate research questions into AI/ML solutions
• Deploy models into production systems (APIs, internal tools, or lab platforms)
• Evaluate and integrate relevant foundation models (e.g., protein language models, cheminformatics tools)
• Ensure reproducibility, validation, and documentation of models to meet scientific and regulatory standards
• Monitor model performance and iterate based on experimental or clinical feedback
• Stay current with advances in AI applied to life sciences (e.g., AlphaFold-style models, generative chemistry)

Requirements

• Bachelor's/Master's/PhD in Computer Science, Bioinformatics, Computational Biology, or related field
• At least 2 years of experience building and deploying ML models in production
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with biological/chemical data formats (FASTA, SMILES, PDB, etc.) is a strong plus
• Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools
• Understanding of statistics, experimental design, and scientific rigor
• Strong communication skills for cross-functional collaboration with scientists

EA Licence: 17S8795 | EAP: R1108333