
Machine Learning Engineer
1 week ago
Job description
Job Summary:
- As a Machine learningengineer who willdevelopself-running AIsoftwareto automate predictive models for recommended searches for our AI Engine. Who will designmachine learningsystems, apply algorithms to generate accurate predictions, and resolve data set problems.
What you'll do
- Partner with data scientist working on discovery, prototypes and pilot. Focus on experiment tracking.
- Partner with data scientist & ML engineers to design, develop, and deploy deep & machine learning applications using complex high dimensional features that run efficiently in cloud.
- Design, build, and maintain the core machine learning capabilities, services and platforms.
- Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modelling frameworks and serving infrastructure.
- Help drive optimization, testing, and tooling to improve quality (unit tests).
- Implement integrated monitoring of model performance for reliability and maintenance.
- Monitor model performance, working with data scientists assessing models performance, bias & fairness.
- Work with a wide range of systems, processes and technologies to own and solve problems.
- Continuously improve ML processes, tools and standards.
Work Experience
What you've done
- 3+ Experience deploying production-grade AI applications.
- Strong technical knowledge of python, data structure, flask or fastapi.
- Strong technical knowledge of classical ML approaches as well as novel deep learning methods.
- Proficiency with deep learning frameworks such asTensorFlow/Keras or PyTorch (Basic Understanding is must)as well as packages for machine learning such as scikit-learn and pandas.
- 3+ years experience in ETL and/or data wrangling techniques.
- Fluent with Azure cloud services, AWS
- Fluent in git (version control), Docker, Jenkins.
- Fluent with design and management of APIs.
- Experience with K8s is a plus.
- Experience with distributed systems is a plus.
- Experience with Mlflow, Seldon is a plus
- Experience with ELK, Mongodb is a plus.
- Experience with MLOPS, ML security is a plus.
- Experience in Information Retrieval, Recommender Systems is a plus
- Constant need to learn (infinite curiosity) and overcome the barriers of technology.
- Genuine team spirit and a deep passion for our mission.
- Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
- Experience with Agile methodology for teamwork and analytics product creation. Fluent in Jira, Confluence.
Education:Bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience.
Benefits
- We want you to be your best self and to pursue your passions
- Health and wellness benefits/programs to support holistic employee health
- Growing organization with career pathing and development opportunities
- Tons of perks and extras in every location for all Phenoms
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