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Urgent! Senior ML Ops Engineer Job Opening In Singapore, Singapore – Now Hiring Illumina
What if the work you did every day could impact the lives of people you know?
Or all of humanity?At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world.
Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.Working at Illumina means being part of something bigger than yourself.
Every person, in every role, has the opportunity to make a difference.
Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.
Our team develops Next Generation Sequencing (NGS) solutions used by researchers and clinicians worldwide, providing sample-to-answer pipelines with high reliability, speed, and accuracy of results.
We develop machine learning solutions across Illumina’s portfolio, from sequencing functions to analysis and interpretation algorithms.
DRAGEN, our secondary analysis platform, has industry leading performance and is used for clinical and research work.
We also develop algorithms for on-sequencer pipelines including super-resolution, basecalling, denoising.
Advanced AI applications drive transformational genetic insights that improve understanding of human biology, cancer and rare disease.
We are seeking an ML Ops engineer to join our team.
This role will develop, implement, and optimize data pipelines for ML systems across Illumina’s products, including DRAGEN and high-throughput sequencing systems like Novaseq X, the highest throughput sequencer in the industry.
You will collaborate with cross-functional teams (ML, implementation, bioinformatics, optics and imaging, test) to store and process petabytes of highly heterogenous data (images, sequencing output, population data, truth sets, DNA, RNA, multi-omics, variant calls).
Responsibilities:
You will create and maintain code, documentation, testing and deployment frameworks, tools and infrastructure, working closely with engineers, researchers and domain experts on AI/ML models and pipelines
Work with experts across software engineering, hardware engineering, ML and data science, optics and imaging, precision motion, embedded systems, test
Develop environments for building, testing, tracking production AI models and data across data pipelines used in primary and secondary genomic analysis
Benchmark, track and document model performance, enable continuous improvement of pipelines
Be a technical expert to help internal customers & teams to develop AI models within a consistent ML environment, automate training and data/model management
Participate in setting the long-term roadmap for technical solutions using ML across multiple pipelines
Stay up to date on best practices and drive adoption of standardized processes across the team and wider organization
Standardize the management of ML models, operationalize ML pipelines; support release, activation, monitoring
All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.
Qualifications:
Bachelors or Masters in Computer Science or a related technical field, or equivalent experience
2+ years of relevant experience in machine learning and operations, ideally in a hands-on MLOps role (extraordinary applicants with less experience also considered)
Experience deploying APIs and packages
Experience with ML ops platforms (MLFlow, W&B etc; Kubernetes/Docker, dask, rapids.ai, Ray, similar)
Experience with ML frameworks (Tensorflow, keras, Pytorch, xgboost, sklearn)
Strong Python coding skills – experience with unit testing, code reviews, version control
Strong background and interest in ML Ops, Dev Ops, Data Engineering
Self-starter, good problem-solving skills, ability to push forward project objectives both through individual effort and team collaboration
Experience with CI/CD platforms, ability to design a technical roadmap and influence/build alignment
All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.
Additional Nice-to-Haves:
Bioinformatics, ML, software engineering principles, software test, applied math background and/or experience
NGS knowledge
Distributed compute for big data - HPC, dask, Ray etc.
Experience with AWS, GCP, Azure
Visualization experience (plotly, matplotlib, etc)
Familiarity with bioinformatics workflows primary and/or secondary analysis pipelines
Experience with revision control (git, github Actions)
Experience with ML acceleration technology (FPGA, GPU, etc)
Strong Linux/Unix fundamentals
Strong documentation and presentation skills
Machine learning experience/knowledge
Degree and Job Experience Requirements:
The candidate could have a degree from any of the following fields: Bioinformatics, Biology, Physics, Electrical Engineering, Computer Science, Software Engineering, Applied Math, related topics
Bachelor’s, Master’s, or Ph.D.
Job experience: the role can be morphed to accommodate candidates from recent graduates to experienced professionals
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Unlock Your Senior ML Potential: Insight & Career Growth Guide
Real-time Senior ML 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 Senior ML 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 32599 jobs in Singapore and 29231 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Senior ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Illumina is currently hiring and seeking a Senior ML Ops 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: Senior ML Ops 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 Illumina adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior ML Ops 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 Senior ML Ops Engineer typically include Computer Occupations 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.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior ML Ops Engineer interview at Illumina, 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 Illumina'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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