
Senior Software Engineer
2 weeks ago
We are seeking 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 to ensure high performance and reliability.
Responsibilities- Develop, maintain, and optimize backend systems using Python and frameworks like Django, Flask, or FastAPI.
- Build and deploy scalable APIs and microservices for AI/ML-powered applications.
- Design and implement NLP and generative AI models for real-world applications.
- Develop web scraping tools and data pipelines for extraction and processing.
- Implement DevOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
- Ensure system reliability and scalability on cloud platforms such as AWS, Azure, or GCP.
- Debug, optimize, and maintain existing systems to enhance performance.
- Collaborate with cross-functional teams to integrate AI/ML models into production.
- Monitor data security and ensure compliance with industry standards.
- 4+ years of experience in Python backend development.
- Proven expertise in DevOps tools and practices (CI/CD, Docker, Kubernetes, Infrastructure as Code).
- Strong understanding of AI/ML frameworks like TensorFlow, PyTorch, Hugging Face.
- Experience with NLP techniques and libraries (spaCy, NLTK) and generative AI models (e.g., GPT, T5).
- Proficiency in web scraping tools (Scrapy, Beautiful Soup, Selenium).
- Hands-on experience with RESTful APIs, GraphQL, and microservices architecture.
- Knowledge of relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
- Familiarity with cloud services (AWS, Azure, GCP).
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Demonstrable experience with PyTorch and TensorFlow.
- Familiarity with big data tools (Apache Spark, Hadoop).
- Experience with MLOps workflows for AI deployment and lifecycle management.
- Understanding of large-scale data pipelines and data lakes.
- Knowledge of security best practices for web scraping and backend systems.
- Ability to design and optimize distributed, high-availability systems.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Industry: IT Services and IT Consulting
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