Academic Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
Certifications in AI/ML, Cloud (AWS/Azure/GCP), or application development frameworks are desirable.
Professional Experience:
8–10 years of professional experience in AI/ML, software engineering, or application development.
Proven track record of building and deploying AI-powered applications at scale in enterprise environments.
Strong experience with Python, Java/JavaScript, or similar programming languages for AI integration.
Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud AI platforms (AWS SageMaker, Azure AI, Bedrock, etc.).
Exposure to GenAI/LLM-based applications, prompt engineering, and API-based deployments is highly desirable.
At least 3+ years of leadership/managerial experience managing teams of developers/engineers.
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