
Data Solutions Architect
10 hours ago
Job Title: Data Solutions Architect
We are seeking an experienced Data Solutions Architect to design, develop, and deploy scalable data-driven solutions.
- Design advanced data models to support strategic business objectives.
- Implement robust data pipelines that integrate seamlessly into production environments.
- Work closely with cross-functional teams to turn data into actionable insights and drive measurable business outcomes.
- Develop and deploy machine learning 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 efficient data architectures.
- Develop and maintain RESTful APIs to serve machine learning models.
- Work with databases, including data modeling, schema design, and query optimization.
- Stay up-to-date with industry trends and advancements in AI/ML.
- 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, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with GitHub, Docker, and AWS.
- Familiarity with RESTful API design and development.
- Experience with real-time and batch processing systems.
- Excellent communication and collaboration skills.
- 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, Seaborn, or Plotly.
- Knowledge of Agile development methodologies and Scrum framework.
- Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.
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