7–10 yrsPuneHybridDirect career pageEst. 22–35 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy scalable, production-grade AI/ML solutions emphasizing classical machine learning models and optimization.
- Apply deep learning, computer vision, and image processing techniques to build intelligent solutions with clear domain understanding.
- Own the end-to-end model lifecycle including feature engineering, evaluation, tuning, deployment, monitoring, and maintenance of AI/ML systems.
Minimum Requirements
- 7 to 10 years of work experience in machine learning and AI model development and deployment.
- Strong proficiency in classical machine learning core algorithms, feature engineering, and model optimization.
- Hands-on experience with production-grade AI/ML deployment including cloud platforms and MLOps practices.
- Master's or PhD degree in Computer Science, AI, Computer Vision, or related field.
Ideal Candidate Profile
- Demonstrates strong expertise in traditional machine learning with practical problem-solving skills grounded in analytics.
- Has solid foundational knowledge in deep learning, computer vision, and image processing, and can differentiate and apply each effectively.
- Experienced in software engineering best practices to deliver reliable, maintainable AI/ML solutions at scale with production readiness focus.