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

Interested candidates, please submit your profile to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted.

EA Licence: 17S8795 | EAP: R1108333

Exciting role to lead laboratory trials, applications and organize team resources on a daily basis, including technical support to customers, new/alternative raw materials evaluation, identifying the new vendors and alternative raw materials & product development to meet specific requirements to support target market concrete. You will also provide support in the implementation of sales strategies and policies in the assigned area.

Role

Product Application & Development

• Evaluate new/alternative raw materials and existing product formulation optimization to improve margin or reduce complexity.
• Act as technical service provider, troubleshooter and technical consultant to handle customer complaints including site visits, follow up as well as prepare investigation report.
• Ensure all records are well documented by recording and reviewing all test results, including analyzing results and report findings. Implement reporting procedures by reporting to supervisor of any abnormal results and recommend improvement ways.
• Support business by providing technical guidance/assistance to customer for product applications, including mix design optimization and troubleshooting to enhance pre and post sales service.
• Responsible for the accurate preparation of samples according to product formulation, to cater for laboratory evaluation as well as upon customer requests.
• Act as the interface of sales/marketing personnel and technical service laboratory/product training to meet customer expectations and solve technical related problems.
• Maintain an up-to-date working knowledge of newly developing technologies and manufacturing practices and share with sales/marketing personnel.

Technical Service & Support

• Carry out and ensure that activities such as material preparation, trial mix, product demo and making wet and dry samples etc are in accordance to standard/in-house procedures in order to maintain a high level of reliability & quality in and outside of the laboratory.

• Provide technical inputs/recommendations to strategy development and implementation based on analysis of product performance in comparison to competitor products.
• Provide technical support to customers as troubleshooters and technical consultant, including handling/follow up complaints on technical related issues.
• Supervise team members by providing advice and technical direction including daily planning, work assignment and prioritization of work.
• Provide expertise in technical support to sales team & customer for both pre & post sales business.
• Visit & establish relationship/connection with customers to collect field information of customer expectation/problems on product performance/technical service needs to verify product design suitability to application.
• Manage & prioritise resources while providing guidance to concrete team in execution of their responsibilities.
• Identify & provide for team members’ development needs to further enhance skills & knowledge, and for continuous team improvement in providing support for the business.
• Ensure all lab equipment used are well maintained by ensuring proper set-up, use and maintenance of all lab equipment to ensure quality & reliability of test results.
• Communicate with independent laboratories & other external parties for all construction chemicals products related testing.
• Liaise and support production and QC team on any new product production (QC specifications and manufacturing procedures) or some product troubleshooting pertaining to customer complaints.
• Maintain confidentiality of information eg BOM and raw materials.
  
  

Requirements

• Degree/Diploma in Chemistry, Chemical Engineering Civil Engineering or related, with at least 5 years in a laboratory environment working with construction chemical.
• 5 years or more in a technical support role related to the construction chemical industry.
• Experience in ready mix concrete industry will be an added advantage.
• Able to cultivate team-work culture, analytical & problem-solving skills.
• Required to work in the lab & outdoor.
• Able to work out of usual hours and off days due to business requirements.
• Able to travel as per business needs.
• Strong leadership and innovative.

Interested candidates, please submit your profile together with relevant project experience to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted.

EA Licence: 17S8795 | EAP: R1108333

Exciting opportunity with a leading regional logistics and supply chain group — building out their next-generation data platform to power AI and analytics at scale.

Role

• Architect and build scalable data pipelines using Apache Spark, Kafka, and Airflow
• Design and manage cloud-based data lakes and warehouses (Snowflake, BigQuery, or Databricks)
• Implement data quality frameworks, governance policies and monitoring
• Collaborate with data scientists and analysts to ensure data is readily available for modelling
• Drive adoption of best practices in data modelling, CI/CD and infrastructure-as-code

Requirements

• 5+ years of data engineering experience with at least 2 years on big data technologies
• Strong command of SQL and Python; experience with dbt, Spark or Flink
• Hands-on cloud experience: AWS, GCP or Azure data services
• Familiarity with streaming data architectures (Kafka, Kinesis)
• Excellent communication skills — ability to work with both technical and business stakeholders

Interested applicants, please submit your profile to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 | EAP: R1108333

Exciting opportunity with a rapidly growing AI-driven healthcare analytics company as an MLOps Engineer who will bridge the gap between data science and production engineering. You'll build and maintain the infrastructure that enables data scientists to ship models faster, more reliably, and at scale — across Singapore and across Asia.

Role

• Build and maintain ML pipelines and CI/CD workflows for model training, evaluation and deployment
• Manage model registries, versioning and experiment tracking (MLflow, Weights & Biases)
• Set up monitoring for model drift, data quality and system performance in production
• Containerise and orchestrate ML workloads using Docker, Kubernetes and cloud-native tools
• Collaborate with data scientists to translate prototypes into maintainable, production-ready systems

Responsibilities

• 3+ years in a DevOps, platform engineering or MLOps role
• Hands-on experience with ML pipeline tooling: Kubeflow, MLflow, Metaflow or similar
• Proficiency in Python and infrastructure-as-code (Terraform, Helm)
• Cloud platform experience: AWS, GCP or Azure — ML services a strong plus
• Solid understanding of the full ML lifecycle from data ingestion to model serving

Interested applicants, please submit your profile to submitCV@talentreq.com for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 | EAP: R1108333