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Python Developer - Artificial Intelligence/Machine Learning Models

Technostacks
Ahmedabad
3 - 5 Years
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3.8white-divider15+ Reviews

Posted on: 17/09/2025

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.


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