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2 weeks ago
As a Senior Data Scientist, you will be responsible for designing and implementing AI/ML models to drive strategic business outcomes. This role involves developing and deploying machine learning models, extracting insights from complex data, and building scalable, data-driven solutions.
Key Responsibilities:
- 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 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 AWS to ensure smooth deployment and management of models.
- 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.
- Competitive salary and benefits package.
- Opportunity to work on complex and challenging projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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