
Lead Data Modeling Expert
5 days ago
Job Overview
We are seeking a skilled Data Scientist to design and implement machine learning models, write production-ready code, and collaborate with cross-functional teams to drive business outcomes.
Responsibilities:
- Develop and deploy AI/ML models using Python, PyTorch, scikit-learn, and other relevant libraries.
- Extract insights from complex data and communicate findings to stakeholders.
- Design and implement data-driven solutions, including real-time and batch processing systems.
- Collaborate with engineers to build scalable and efficient data pipelines.
- Develop and maintain RESTful APIs to serve machine learning models.
- Work with databases, including data modeling, schema design, and query optimization.
- Work with GitHub, Docker, and cloud platforms to ensure smooth deployment and management of models.
- Stay up-to-date with industry trends and advancements in AI/ML.
Requirements:
- 5+ years of experience in data science and machine learning.
- Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.
- Experience with machine learning model development, deployment, and maintenance.
- Strong understanding of data structures, algorithms, and software design patterns.
- Experience with databases, including relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB).
- Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.
- Familiarity with Agile development methodologies and Scrum framework.
Nice to Have:
- Experience with time series forecasting and analysis.
- Knowledge of deep learning frameworks like TensorFlow or Keras.
- Familiarity with natural language processing (NLP).
- Experience with data visualisation tools like Matplotlib or Plotly.
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