Staff Engineer, AI/ML Algorithms Operations

Thermo Fisher Scientific Inc.; Singapore; On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a mid-career developer passionate about AI and generative technologies. This exciting role involves tackling complex, data-intensive challenges in the omics science domains. You will design and develop deep learning models, optimize algorithms, and collaborate with multi-functional teams to integrate AI solutions into innovative products. With hands-on experience in modern AI technology, you will play a pivotal role in driving advancements that contribute to a healthier and safer world. If you are eager to make a significant impact in the genomics revolution, this opportunity is for you.

Qualifications

• 3+ years of experience in developing and deploying machine learning models.
• Proficient in Python and relevant machine learning libraries.

Responsibilities

• Design and develop robust deep learning models for genomics applications.
• Collaborate with teams to deploy scalable AI solutions.

Skills

Machine Learning

Deep Learning

Python

Data Preprocessing

Feature Engineering

Version Control (Git)

Education

Bachelor's in Computer Science

Master's in a relevant field

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Job description

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 pioneering research to routine testing and real-world applications.

Summary of Opportunity

Do you thrive on building systems that push the boundaries of AI and GenAI? Are you driven to address complex, real-world challenges with dynamic software that services like an experienced agent? Are you driven to create products that truly make a difference – making the world healthier, safer, and cleaner every day? If so, we’d love to discuss the innovative products we’re developing. You'll have the opportunity to immerse yourself in complex, data-intensive challenges in the omics science domains. You'll have the opportunity to use groundbreaking research in AI to develop novel algorithms and techniques in this unique, compelling, growing industry.

We are seeking a mid-career developer with a strong interest and background in AI and generative AI technologies. You will work with deep learning models, optimize algorithm performance, and drive innovation with AI-powered solutions. You will collaborate with multi-functional teams to integrate AI/ML solutions into products and services. This role offers hands-on experience with modern AI technology. Join us and be a part of the genomics revolution!

Responsibilities

• Design and develop robust deep learning models for use in genomics, image processing, time-series analysis, and genomics-adjacent applications.
• Develop and implement data processing pipelines for large-scale genomics datasets (e.g., sequencing data, variant calling data, gene expression data).
• Optimize model performance for real-world scenarios, considering factors like data variability, noise, and computational efficiency.
• Collaborate with multi-functional teams to deploy scalable AI solutions and integrate AI models into customer-facing applications.
• Implement automated testing and monitoring systems to assess model quality and performance.
• Deploy and maintain ML models in production environments, ensuring scalability and reliability.
• Present technical findings and progress updates to team members and partners.

Education

BS in Computer Science, Mathematics, Statistics or a related field; a Master’s degree is highly preferred.

Required Qualifications

• 3+ years of experience in developing and deploying machine learning models.
• Proficient in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with data preprocessing and feature engineering techniques.
• Experience with basic ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Familiarity with version control systems like Git.

Desired Qualifications

• Master's or Ph.D. in a relevant field.
• 5+ years of experience in developing and deploying machine learning models for genomics data analysis.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Expert in Python. Experience with C++/Java is a plus.
• Experience with MLOps practices and tools.
• Knowledge of LLMs, LangChain, LlamaIndex, and RAG frameworks.