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4 Days ago

Sr. Python Developer

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Pune, Maharashtra, India
Information Technology
Full-Time
Preferable Crafting Careers

Overview

We are seeking a highly skilled and motivated Python Developer to join our CLIENT. The ideal candidate will have hands-on experience in Python programming, AI/ML integration, and working with advanced libraries such as Langchain, Pandas, and NumPy. This role involves developing scalable applications, integrating AI models, and working in an Agile environment to deliver high-quality solutions.

Key Responsibilities:

  • Design, develop, and maintain efficient, reusable, and reliable Python code.
  • Build and deploy AI-driven applications using Langchain and other relevant frameworks.
  • Perform data analysis and transformation using Pandas and NumPy.
  • Collaborate with data scientists and ML engineers to implement machine learning models into production.
  • Debug and troubleshoot issues across the application stack.
  • Utilize Git for version control and participate in code reviews and CI/CD processes.
  • Work within Agile methodologies, participating in sprint planning, stand-ups, and retrospectives.
  • Write clear technical documentation and contribute to knowledge-sharing sessions.

Key Skills & Qualifications:

Must-Have:

  • Proficient in Python with a solid understanding of object-oriented programming.
  • Experience with Langchain and building applications using LLMs (Large Language Models).
  • Strong knowledge of Pandas and NumPy for data manipulation and analysis.
  • Familiarity with machine learning concepts and integration of ML models.
  • Understanding of AI frameworks and tools.

Solid experience in debugging, testing, and optimizing Python code.

  • Proficient with Git and collaborative development workflows.
  • Experience working in Agile development environments (Scrum/Kanban).

Nice-to-Have:

  • Knowledge of vector databases (e.g., FAISS, Pinecone).
  • Experience with APIs, microservices, or cloud platforms (AWS, GCP, Azure).
  • Familiarity with containerization (Docker, Kubernetes).
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