
Data Science and Engineering Lead
3 days ago
About the Opportunity
We are looking for a highly skilled Data Science and Engineering Lead to join our team and lead the development of cutting-edge AI and ML solutions using Python.
Key Responsibilities:
- Lead the development of scalable AI and ML solutions using Python and relevant frameworks.
- Build and optimize machine learning models, pipelines, and frameworks for real-world applications, ensuring scalability and performance.
- Collaborate with cross-functional teams to deliver high-quality software and ensure smooth integration with existing systems.
- Develop and maintain RESTful APIs and microservices using Python and relevant frameworks.
- Mentor junior and mid-level developers to foster growth and maintain a high-performing team.
- Analyze and improve system performance, scalability, and security across different components.
- Stay up-to-date with the latest trends, technologies, and best practices in Python development, AI/ML, and distributed systems.
Requirements:
- 8+ years of professional experience as a Python developer.
- Proven expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
- Solid experience with distributed computing technologies (e.g., Apache Spark, Dask, Kafka, or similar).
- Proficiency in designing and developing RESTful APIs and microservices.
- Familiarity with blockchain technologies and concepts (e.g., smart contracts, consensus mechanisms, or DLT).
- Strong problem-solving skills with an emphasis on data-driven decision-making.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Knowledge of database systems (SQL and NoSQL) and data modeling.
- Excellent understanding of software development life cycle, version control (Git), and CI/CD pipelines.
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