Python Developer - Artificial Intelligence/Machine Learning Models
Technostacks
Date: 2 weeks ago
City: Ahmedabad, Gujarat
Contract type: Full time
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 :
Experience: Minimum of 3+ years of professional experience in Python development.
AI/ML Expertise
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.
- 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.
- 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.
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.
- 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).
- Strong understanding of SDLC and Agile methodologies.
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