Senior Python Developer (AI Image Processing)

Overview

Exp : 4-6 yrs

Contract Duration : 6-12 months

Location : Bangalore – Whitefield [Hybrid – at least 3 days a week in Office]

Responsibilities:

• Develop and maintain Python-based applications for image processing and analysis.

• Design and implement algorithms for image enhancement, segmentation, and feature extraction.

• Collaborate with cross-functional teams to integrate image processing solutions into existing systems.

• Optimize and improve the performance of image processing pipelines.

• Conduct research and stay updated with the latest image processing and machine learning advancements.

• Troubleshoot and resolve issues related to image processing and software development.

• Document code and processes, ensuring best practices are followed.

Soft Skills:

• Should be able to contribute as an individual contributor

• Should be able to execute his/her responsibility independently

• Excellent problem-solving skills and attention to detail.

• Focus on self-planning activities

• Firm with communication skills

Mandatory Skills:

• Proven experience in Python programming and image processing.

• Strong understanding of image processing techniques and libraries (e.g., OpenCV, PIL, scikit-image, SITK).

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.

• Familiarity with software development tools and version control systems (e.g., Git)

Nice-to-have Skills:

• Experience with deep learning models for image recognition and classification.

• Knowledge of cloud platforms (e.g., AWS, Azure) for deploying image processing solutions.

• Familiarity with data visualization tools and techniques

Send your resume on recruiter.plausibilitysolution@gmail.com with below details:

• Current CTC:
• Expected CTC:
• In Hand Salary:
• Ready to relocate to Bangalore:
• Ready to work for Contractual period Y/N?:

Job Types: Full-time, Contractual / Temporary
Contract length: 6-12 months

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Location Type:

• In-person

Schedule:

• Day shift

Work Location: In person

Expected Start Date: 01/03/2025