Senior Python Developer

Job Summary:

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.Key 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.

Qualifications:

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.

Preferred Skills:

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.

Education:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent experience will also be considered. (edited)