Sr. ML Engineer
Job Description
Job Title: Sr. ML Engineer
Duration: 12 -Months
Location: Beaverton, OR (Remote Prefer PST Time zone)
Key skills: Strong Spark,Python, AWS, SageMaker, Devops(Containerization, CI/CD pipeline) , Airflow (or other orchestration tools), familiarity of Machine Learning algorithms, working experience with all phase of ML life cycle
Project Description:
As a full-stack ML engineer, your primary responsibility is to develop production-grade data science solutions.
This requires expertise in all phases of the ML life cycle. To be successful in this role,
- you must have knowledge and hands-on experience with a variety of ML algorithms, be proficient in using data science platforms like SageMaker,
- have experience with orchestration tools like Airflow or similar tools, and be highly skilled in programming languages like Python, SQL and Spark.
- Additionally, you should be capable of driving the project independently and have the ability to mentor and train other members of the team to achieve the project goals.
- You should be flexible and equipped to pick to build AI product in Consumer space like Personalization and Demand Forecasting
Date Posted
04/12/2023
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Subjectivity Score: 0.9
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