Aktana is looking for a Sr. Data Engineer that is responsible for ensuring that Aktana’s system architecture is closely aligned with Aktana’s business strategy. In this role you will drive the design, implementation and deployment of well architected, intelligent solutions that combine state of the art Data Science, Engineering and Operations practices for our core products as well as Aktana as a whole. You will work with cross-functional teams collaborating on building and bringing to market transformative solutions.
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
Why you’ll love working at Aktana…
Aktana is the category creator and leader of intelligent engagement in the global life sciences industry. By ensuring that every customer experience is tailored to individual preferences and needs, Aktana helps life science companies strengthen their relationships with healthcare providers to inspire better patient care. Today, commercial and medical teams from nearly 300 brands use Aktana’s AI-enabled Contextual Intelligence Engine to coordinate and optimize personalized omnichannel engagement at scale. More than half of the top-20 global pharmaceutical companies are Aktana customers. Headquartered in San Francisco, Aktana has offices in every major biopharma region around the world.
Top Skills
What We Do
Aktana is the category creator and leader of intelligent engagement in the global life sciences industry. By ensuring that every customer experience is tailored to individual preferences and needs, Aktana helps life science companies strengthen their relationships with healthcare providers to inspire better patient care. Today, commercial and medical teams from nearly 300 brands use Aktana’s AI-enabled Contextual Intelligence Engine to coordinate and optimize personalized omnichannel engagement at scale.
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