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Strong employer brand, mid-level ML role, metro location, and broad skills increase competition.
Core ML, Python, and cloud skills are transferable, so background fit sensitivity is moderate.
Explicit 3-7 year requirement and mandatory Python, ML, cloud, and LLM skills produce moderate shortlisting.
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Implement and optimize AI/ML models using Python with a focus on precision, efficiency, and scalability.
Deploy and scale AI/ML solutions using cloud platforms, primarily Azure, including integration with existing software infrastructure.
Collaborate with cross-functional teams to develop data pipelines, feature engineering systems, and mentor junior team members.
Bachelor's or Master's degree in Computer Science, Computer Information Systems, Engineering, or Mathematics.
Minimum 2 years of professional experience in Python programming specific to AI/ML development.
Proficiency with machine learning algorithms and frameworks, including familiarity with large language models like GPT or BERT.
Hands-on experience with cloud platforms such as Azure or AWS for deploying and managing ML models; On-premise work location required.
Experienced in developing scalable AI/ML solutions with deep expertise in Python and cloud-based deployment (Azure/AWS).
Skilled at prompt engineering and familiar with agent frameworks and large language models indicating advanced NLP capability.
Able to lead technical discussions, provide mentorship, and bridge work between data scientists, software engineers, and AI/ML engineers effectively.