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Mid-level generalist ML role, metro location, strong brand, and broad GenAI/NLP skills drive high competition.
Core ML and NLP skills are highly transferable across industries, enabling candidates from diverse sectors.
Explicit 3+ years requirement plus mandatory ML frameworks, GenAI/LLM and cloud skills increase filtering strictness.
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Develop and deploy end-to-end AI/ML solutions to improve operational efficiency and data accuracy in the publishing cycle.
Ensure scalability, reliability, and optimization of AI/ML models and infrastructure for production environments.
Research and experiment with new AI/Gen AI technologies and communicate insights to non-technical stakeholders.
Bachelor's or master's degree in computer science, engineering, or related field.
3+ years of experience in AI/ML engineering with strong knowledge of machine learning algorithms and deep learning frameworks.
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with Generative AI, LLMs, building RAG applications, NLP, and cloud platforms like AWS, Azure, or Google Cloud.
Experienced in applying AI/ML techniques specifically in natural language processing and generative AI domains.
Skilled in optimizing ML models for scalability and production deployment within complex systems.
Able to bridge technical and non-technical teams through effective communication and data storytelling.