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Urgent! Algorithm and AI Engineer Job Opening In Singapore, Singapore – Now Hiring ThermoFisher Scientific
**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
Thermo Fisher Scientific Inc.
is the world leader in serving science, with annual revenue exceeding $40 billion and extensive investment in R&D.
Our Mission is to enable our customers to make the world healthier, cleaner and safer.
The customers we serve fall within pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions and government agencies.
Our innovations drive scientific breakthroughs, from groundbreaking research to routine testing and real-world applications.
**How will you make an impact?**
You will play a pivotal role in designing and delivering reliable, robust AI applications, algorithms, and frameworks that elevate the quality and performance of our product offerings.
You will collaborate with and learn from a dedicated team of algorithm and software developers, revolutionizing healthcare through low-cost and high efficiency diagnostic systems.
**What will you do?**
+ Develop, prototype, and deploy AI applications—including chatbots, copilots, and autonomous agents—optimized for safety, performance, and cost-efficiency.
+ Build and optimize retrieval-augmented generation (RAG) pipelines (indexing, chunking, embedding, reranking, grounding).
+ Implement parameter-efficient methods (LoRA/QLoRA/PEFT) and model optimization workflows.
+ Prepare, clean and facilitate the annotation of datasets for LLM model training and improvement.
+ Apply context engineering ( **prompt design** , tool calling, memory, compression, window strategy).
+ **Establish evaluation: golden sets, RAG/grounding scores, toxicity, A/B tests, latency & cost measurements** .
+ Integrate tools via Model Context Protocol (MCP) and other agent frameworks.
+ Design and implement robust, multi-turn conversational agents with clear handoff strategies—such as transitioning to human support or fallback responses—alongside integrated safety guardrails and seamless deployment across web, mobile, and internal platforms.
+ Operate in production: tracing, **prompt** /version lineage, drift detection, incident response, SLOs.
+ Collaborate with cross-functional teams, including software, hardware, and data science, to ensure algorithms meet product requirements and are well-integrated into production systems.
+ Contribute to code quality, documentation, and reproducibility, ensuring algorithm reliability and transparency.
+ Stay up-to-date on new technologies and industry standards to continuously enhance development and evaluation methodologies.
**How will you get here?**
**Education**
Master’s degree in Computer Sciences, Mathematics, Bioinformatics or a related field; PhD or equivalent experience is highly preferred.
**Experience and skills Required**
+ Ideal candidates will have a minimum of 2 years of experience in AI development and evaluation.
Recent graduates who have conducted relevant research are also encouraged to submit their applications.
+ Hands-on experience with major LLMs/APIs or frameworks (OpenAI, LangChain or Anthropic, Hugging Face etc).
+ Strong prompt & context engineering.
+ Strong programming skills in Python and familiarity with Java or JavaScript for integration tasks.
+ Understanding of data preprocessing, distributed training and model evaluation.
+ Experience fine-tuning LLMs (i.e. GPT, LLaMA, Mistral) using PEFT techniques like LoRA/QLoRA.
+ Strong communication skills, and the ability to present work to both technical specialists and non-experts.
+ Ability to work both independently and collaboratively.
+ Highly motivated and fast learner: able to proactively scope ambiguous tasks, set clear goals, ship small iterations, seek feedback, and reliably follow through.
**Preferred**
+ Familiarity with RAG frameworks with vector search (e.g., FAISS/pgvector/Pinecone), hybrid search, rerankers, citation/grounding.
+ Experience with MLOps tools (MLflow, Kubeflow, Docker, CI/CD) and cloud services.
+ Hands-on experience in building agents or chatbots.
+ Evaluation: RAGAS/G-Eval or similar; offline/online metrics and A/B frameworks.
+ Data systems: SQL/NoSQL, message queues, object storage; schema design for documents & metadata.
+ Understanding of AI safety principles, hallucination mitigation, and factuality evaluation techniques.
+ Hands-on experience with AWS SageMaker, Bedrock, and Step Functions, along with other relevant AWS services, to build, deploy, and orchestrate AI agents in scalable, production-grade workflows.
+ Experience in the biotechnology industry is a plus.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
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Unlock Your Algorithm and Potential: Insight & Career Growth Guide
Real-time Algorithm and Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Algorithm and in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6370 jobs in Singapore and 6152 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Algorithm and roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ThermoFisher Scientific is currently hiring and seeking a Algorithm and AI Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Algorithm and AI Engineer Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ThermoFisher Scientific adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Algorithm and AI Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Algorithm and AI Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Algorithm and AI Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Algorithm and AI Engineer interview at ThermoFisher Scientific, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ThermoFisher Scientific's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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