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Mid-level ML generalist role in metro with broad GenAI/NLP and deployment requirements.
Core ML/GenAI and NLP skills are transferable across industries, though LLM specialization narrows fit.
Explicit 3+ years plus mandatory ML/GenAI, LLM, NLP, frameworks, and deployment skills.
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Develop and deploy end-to-end AI/ML solutions to enhance the publishing cycle, improving operational efficiency and decision-making.
Maintain AI infrastructure including data pipelines and model deployment, ensuring scalability and reliability in production environments.
Research and experiment with new AI/ML technologies such as Generative AI, NLP, and large language models to drive innovation and deliver business insights.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Minimum 3 years of experience in AI/ML engineering with hands-on expertise in machine learning algorithms and deep learning frameworks.
Proficiency in Python or R programming and experience with TensorFlow, PyTorch, or scikit-learn frameworks.
Experience working with cloud platforms like AWS, Azure, or Google Cloud for AI/ML deployment.
Experienced AI/ML engineer with demonstrated ability to implement scalable machine learning systems in production environments.
Strong background in NLP, Generative AI, and RAG applications with hands-on model optimization skills.
Able to collaborate effectively with cross-functional teams including data scientists and non-technical stakeholders for operational impact.