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You will be updated with latest job alerts via emailJob 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:
Bachelors or Masters degree in Computer Science Engineering or a related field. Equivalent experience will also be considered.(edited)
Required Experience:
Senior IC
Full-Time