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Metro-based generalist ML/GenAI role with broad skill requirements attracts many applicants.
Core ML, Python, and data skills are highly transferable across industries, lowering background sensitivity.
Explicit 1–3 years plus required Python, SQL and ML framework experience moderately tightens shortlisting.
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Develop and deploy AI/ML models including supervised, unsupervised learning, and GenAI solutions like LLMs and chatbots.
Build rapid prototypes and Minimum Viable Products (MVPs) to prove AI and ML concepts.
Collaborate with AI Engineers and teams to integrate models into enterprise applications and ensure data pipeline support.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
1-3 years of experience in data science, machine learning, or AI-related roles.
Proficiency in Python and SQL; experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
Experience in model deployment is expected; exposure to GenAI technologies is a plus.
Experience executing practical AI/ML projects from PoCs to deployable MVPs in a collaborative team environment.
Demonstrated knowledge of GenAI technologies including LLMs, RAG systems, and chatbot development.
Familiarity with data preprocessing, model evaluation, and continuous improvement in AI/ML systems.