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Python Developer - Artificial Intelligence / Machine Learning Models

Python Developer - Artificial Intelligence / Machine Learning Models

Technostacks InfotechAhmedabad
15 days ago
Job description

Job Summary :

We are looking for an experienced AI / ML Python Developer to join our team.

The ideal candidate will have over three years of professional experience, with at least two years focused on developing and implementing AI / ML projects.

You will be responsible for building, deploying, and maintaining machine learning models and integrating them into our enterprise systems.

Key Responsibilities :

AI / ML Development :

  • Design, build, and deploy machine learning models and algorithms to solve business challenges.
  • Collaborate with data scientists and engineers to translate models into production-ready code.
  • Utilize tools like NumPy and Pandas for efficient data processing and manipulation.

System Integration :

  • Work with various APIs to integrate AI / ML solutions into existing enterprise systems.
  • Deploy applications on AWS using Docker and Kubernetes.
  • Ensure solutions are scalable, reliable, and adhere to best practices for system integration and architecture patterns.
  • Collaboration & Workflow :

  • Participate in the full Software Development Life Cycle (SDLC).
  • Work within an Agile framework to deliver high-quality code in a fast-paced environment.
  • Visualize data and model performance using libraries like Matplotlib and Seaborn.
  • Required Skills & Qualifications :

    Experience : Minimum of 3+ years of professional experience in Python development.

    AI / ML Expertise :

  • At least 2 years of direct experience with AI / ML project development.
  • Solid understanding of core machine learning fundamentals and concepts.
  • Technical Skills :

  • Proficiency in Python and its data processing libraries (NumPy, Pandas).
  • Experience with data visualization tools (Matplotlib, Seaborn).
  • Familiarity with APIs and system integration.
  • Hands-on experience with cloud platforms, specifically AWS.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Methodology :

  • Strong understanding of SDLC and Agile methodologies.
  • (ref : hirist.tech)

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