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Machine Learning Engineer Associate
Skills
Computer ScienceData ManipulationData ScienceMatplotlibNumpyPandasPattern Recognition
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree or equivalent experience in Computer Science, Data Science, Engineering, or a related field
- Proficiency in Python with experience in data manipulation, analysis, and visualization using libraries such as Pandas, NumPy, and Matplotlib
- Basic understanding of machine learning frameworks such as PyTorch, TensorFlow or Scikit-learn
- Familiarity with cloud computing platforms, preferably GCP, is a plus
- Familiarity with CI/CD pipelines to automate testing, building, and deploying ML models
- Experience in using version control systems like Git for tracking changes in ML code and models
- Understanding of Generative AI and deep learning architectures for computer vision and NLP
- Strong problem-solving abilities and a keen interest in learning and applying machine learning concepts
- Ability to work effectively in a collaborative team environment
Day to day
- Work closely with a team of data scientists, senior ML engineers, and other stakeholders to support the design, implementation, optimization, and operationalization of AI and machine learning solutions
- Contribute to the development, deployment, and management of ML models on leading cloud computing platforms
- Assist in various stages of the ML lifecycle, learning and growing your skills under the guidance of experienced professionals