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Metro location and popular ML role increase applicants, but specialized transformers/LLM requirements limit it.
Role requires specialized ML/AI and transformer experience, making hires less transferable across non-ML industries.
Explicit 7–10 years plus mandatory deep learning, NLP, LLM and MLOps skills creates high filtering.
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Lead advanced data science projects with extensive hands-on application of deep learning and NLP techniques including transformer architectures and large language models.
Design, develop, and optimize AI agents and prompt engineering workflows to enhance enterprise AI capabilities.
Implement MLOps best practices for scalable model deployment, ensure AI security, compliance, and manage large-scale datasets (image, video, text) effectively.
7–10 years of overall IT experience with minimum 6+ years in hands-on Data Science work.
Strong Python programming skills with experience in TensorFlow, PyTorch, deep learning, NLP, and LangGraph framework.
Bachelor’s or Master’s degree in Computer Science, Electronics & Communication, Electrical Engineering or related field; Master’s degree in AI, Deep Learning, or Computer Vision preferred.
Experience with Databricks, Azure cloud ecosystem, and working knowledge of UNIX/Linux environments.
Experienced in designing and fine-tuning transformer-based models and applying transfer learning techniques in production environments.
Proficient in implementing MLOps including model versioning, CI/CD pipelines, and automated deployment at enterprise scale.
Strong understanding of AI security, compliance, governance, and capable of mentoring junior team members in cross-functional settings.