
Chief Machine Learning Architect
3 days ago
Job Overview
We are a team of developers building an end-to-end MLOps platform.
We're looking for a junior Machine Learning Engineer to collaborate with our development and product teams and work with MLOPs experts in exciting areas like machine learning, deep learning, DevOps, and AI.
The ideal candidate is a recent graduate who wants to learn how to create and fine-tune models from large amounts of raw information and optimize them. You will work with our team to build ML/DL data pipelines extracting valuable business insights, analyzing trends, and helping us make better decisions.
We expect you to be highly analytical with a knack for analysis, math, and statistics, and a passion for machine learning and research. Critical thinking and problem-solving skills are also required.
Key Responsibilities:
- Research and analyze valuable data sources, automating processes.
- Perform preprocessing of structured and unstructured data.
- Review large amounts of information to discover trends and patterns.
- Create predictive models and machine-learning algorithms.
- Modify and combine different models through ensemble modeling.
- Organize and present information using data visualization techniques.
- Develop and suggest solutions and strategies to business challenges.
Requirements:
- Graduate role, no experience necessary, remote opportunity.
- Knowledge of SQL and Python; familiarity with Scala, Java, or C++ is a plus.
- Familiarity with Kubernetes and/or similar container system.
- Strong math and analytical skills, with business acumen.
- Strong communication and presentation skills.
- Good problem-solving abilities.
- BSc or BA degree in Computer Science, Engineering, or other relevant area.
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