
Senior Python Developer
1 week ago
We are looking for a highly skilled Senior Python Developer with expertise in backend development, DevOps practices, and AI/ML technologies. The ideal candidate will have experience in building robust, scalable applications, integrating advanced NLP and generative AI solutions, and implementing efficient web scraping systems. You will play a critical role in designing, deploying, and maintaining applications, ensuring high performance and reliability.
Responsibilities:- Develop, maintain, and optimize backend systems using Python and its frameworks (e.g., Django, Flask, FastAPI).
- Build and deploy scalable APIs and microservices to support AI/ML-powered applications.
- Design and implement NLP and generative AI models for solving real-world problems.
- Develop efficient web scraping tools and pipelines for data extraction and processing.
- Implement DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
- Ensure system reliability and scalability by working with cloud platforms (AWS, Azure, or GCP).
- Debug, optimize, and maintain existing systems to improve performance and scalability.
- Collaborate with cross-functional teams to integrate AI/ML models into production environments.
- Monitor and ensure data security and compliance with industry standards.
- 4+ years of experience in Python development with a strong focus on backend systems.
- Proven expertise in DevOps tools and practices (CI/CD, Docker, Kubernetes, Infrastructure as Code).
- Solid understanding of AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar.
- Experience with NLP techniques, libraries (spaCy, NLTK), and generative AI models (e.g., GPT, T5).
- Proficiency in web scraping frameworks and tools (e.g., Scrapy, Beautiful Soup, Selenium).
- Hands-on experience with RESTful APIs, GraphQL, and microservices architecture.
- Familiarity with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
- Knowledge of cloud services and infrastructure (AWS, Azure, GCP).
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Pytorch and TensorFlow's tangible demonstrable experience is a must.
- Familiarity with big data tools (e.g., Apache Spark, Hadoop).
- Experience with MLOps workflows for AI model deployment and lifecycle management.
- Understanding of large-scale data processing pipelines and data lakes.
- Knowledge of security best practices for web scraping and backend systems.
- Ability to design and optimize distributed systems for high availability.
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