Machine Learning Engineer needed at takealot.com
takealot.com’s job vacancy, Career and Recruitment
Job title : Machine Learning Engineer jobs in Not specified
Job Location : Not specified,
Deadline : September 16, 2022
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Your responsibilities will include:
- Work with a firehose of customer data.
- Analyze, build, evaluate and productionise machine learning models.
- Touch all aspects of the business in your domain.
- Brainstorm new ideas and concepts to solve specific use cases.
- Work with teammates on design and code reviews.
- Keep abreast of developments in the machine learning domain.
The skills and attributes we need:
- Be creative
- Be flexible
- Be a team player
- Be data oriented
- Take pride in your work
- Be a good communicator
Qualifications & Preferred Experience:
- Degree in Computer Science or Engineering (alternatively a degree in a related field with work experience as a software engineer).
- Three (3) years’ experience applying machine learning to real-world problems.
- Three (3) years’ commercial software development experience.
- Strong understanding of statistical analysis, modeling and machine learning techniques.
- Strong knowledge of different types of recommendation systems.
- Experience building backend systemcs at sale with a strong focus on data processing and machine learning.
- Experience working within an agile team that is operationally hands-on and an advocate of that culture.
- Experience with Python
- Experience with Linux
- Experience with BigQuery.
- Experience with TensorFlow, Scikit-learn, PyTorch and Pandas.
- Experience with deploying machine learning to production environments.
- Data Mining and Big Data experience.
Bonus Skills and Experience:
- MSc (master of science) or PhD (doctorate).
- Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
- Experience with Elasticsearch.
- Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended or MLflow.
- Experience with serving machine learning models, such as TensorFlow Serving or KServe.
How to Apply for this Offer
Interested and Qualified candidates should Click here to Apply online
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