Responsibility
- You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems that powers the Aera platform.
- You will be working in a highly-collaborative environment with other experts in data science and engineering.
- Transform business problems into data problems.
- Research and build statistical/machine-learning models.
- Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management.
- Collaborate with other team members to build data-science products and services using the Aera platform.
About You
- Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred.
- 4+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting.
- Hands-on experience with software development, including translating ML models into scalable production services.
- Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach.
- Strong in Python.
- Experience in Full-Cycle Data Science projects.
- Experience in implementing machine learning algorithms using libraries such as scikit-learn, PyTorch, Tensorflow.
- Hands-on experience with software development, including translating ML models into scalable production services.
- Experience in working with large data sets and distributed systems for machine learning such as Dask and Ray.
- Familiarity with Large language models, multi-agent frameworks and RAG applications.
- Excellent verbal and written communication skills.
- You take complete ownership of your work and are self-driven.
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