Job Overview
Our client currently looking for Senior Data (ML) Engineer
What you’ll own and accomplish…
- Partner with product managers, data scientists, engineers to execute and deliver team charter.
- Work with engineers and data scientists to design and build generic ML model lifecycle management pipelines to create, deploy, monitor, upgrade, downgrade and deprecate ML models
- Design and help implement data models and data pipelines that are scalable, reusable and repeatable for the machine learning models with good understanding of Aktana’s core solutions and the Life Science Domain.
- Work with Data Scientists to identify and select the best of breed ML frameworks, libraries and platforms to build ML models and solutions.
- Work with Data Scientists to design and implement reusable software components.
- Work with Data Scientists to implement and test Prototype ML models
- Work with ML Engineers to design and translate ML prototypes into production solutions that can serve multiple customers with minimum configuration and maximum automation.
- Advice/Document best practices with respect to data partitioning, data storage, system performance monitoring/tuning, memory management, model scalability, model performance monitoring/tuning and data quality monitoring/tuning.
What you’ll need to be successful…
- MS/PhD degree in Computer Sciences or Engineering or Data Science.
- Relevant experience with a proven track record of developing algorithms and machine learning products for production ready recommendation or prediction systems using languages and big data platforms such as Python, R, Spark and Java.
- Aptitude to quickly learn, understand and abstract complex data models
- In depth understanding and appreciation of continuous delivery, cloud platforms (AWS), observability, infrastructure as code, configuration management, containers, operations and automation
- Strong scripting skills in Python/Groovy/Shell
- Experience with machine learning tools and frameworks (e.g. Pyspark, Scikit, Numpy, Pandas, TensorFlow, R ML packages).
- Experience in implementation of traditional machine learning algorithms and deep learning models.
- High-energy self-starter with a passion for your work, attention to detail, and a positive attitude.
- Excellent interpersonal and communication skills.
- Experience/Knowledge of Life Sciences Domain a plus
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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