- Req#: CTPbedjwH6MELoKEIi2LfYqqS4p5fG41AuDZhQpv2CY-
- You must have knowledge and hands-on experience with a variety of ML algorithms.
- Proficient in using data science platforms like SageMaker.
- Experience with orchestration tools like Airflow or similar tools.
- 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.
Job 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.
Requirements
To be successful in this role
About the company
Notice
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