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Moderate: strong employer brand and visible ML role, but senior gen-AI specialization limits broad applicant pool.
Medium because core ML/GenAI skills transfer across industries, though NLP experience favors similar domains.
High due to mandatory machine-learning, GenAI framework expertise and CI/CD deployment requirements.
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Design, develop, and fine-tune machine learning models, including Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI.
Conduct research to advance generative AI algorithms and techniques and maintain comprehensive documentation of models and experiments.
Collaborate with senior team members and stakeholders to capture requirements and execute projects using Agile methodology.
Proficiency in Python programming language.
Experience developing machine learning models with Sklearn, PyTorch, or TensorFlow.
Experience with NLP libraries such as Spark NLP, Hugging Face, or NLTK.
Experience with GenAI frameworks (LangChain, AutoGen, CrewAI) and use of Github and CI/CD pipelines for model deployment.
Has strong expertise in Generative AI implementation and research.
Experienced working in Agile development environments with cross-functional collaboration.
Capable of managing end-to-end ML model lifecycle including development, documentation, and deployment.