R&D Data Analysis and Machine Learning Software Engineer
Overview
Lead data analysis and machine learning engineer to build and deploy algorithms for environmental research. Own end-to-end pipeline from data ingestion to model deployment. Drive impact across cross-functional teams while collaborating with scientists and engineers.
What You'll Do11
- 1Design and implement scalable data pipelines using Spark and Airflow
- 2Develop machine learning models leveraging TensorFlow and PyTorch
- 3Create technical documentation and present findings at stakeholder meetings
- 4Collaborate with researchers to translate scientific requirements into code
- 5Maintain and optimize production environments using Kubernetes
- 6Review peer code to enhance system architecture and performance
- 7Deploy solutions to cloud infrastructure on AWS
- 8Support ongoing maintenance and iteration of analytical tools
- 9Mentor junior developers and foster knowledge sharing
- 10Ensure compliance with data governance and security standards
- 11Adapt quickly to emerging technologies and research needs
Requirements11
- 1Bachelor’s degree in computer science or related field
- 2Three or more years of experience with regression and machine learning algorithms
- 3Proficiency in Python and MATLAB for data processing tasks
- 4Experience with cloud platforms including AWS services
- 5Strong mathematical foundation with statistical analysis skills
- 6Ability to work independently in high-pressure research environments
- 7Demonstrated leadership in technical project delivery
- 8Commitment to maintaining confidentiality of sensitive information
- 9Excellent written and verbal communication abilities
- 10Willingness to learn new technologies and adapt to evolving research directions
- 11Reliable attendance and punctuality
Salary Insight
Salary not disclosed in listing
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