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Tier-1 brand, mid-level ML role, and generalist AI skillset increase candidate competition.
ML, LLM and cloud skills transfer across industries with moderate domain bias.
Explicit years and mandatory ML/Python/cloud skills create moderate gating filters.
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Develop and implement AI and ML models using Python, focusing on precision, efficiency, and scalability.
Deploy and scale AI/ML models on cloud platforms, especially Azure, integrating them into existing software infrastructure.
Collaborate with cross-functional teams to build data pipelines, feature engineering systems, and provide technical mentorship to junior 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 for AI/ML development.
Strong proficiency in machine learning algorithms and frameworks; familiarity with large language models like GPT or BERT.
Experience with Azure or AWS cloud platforms, including machine learning services; work schedule is on-premise.
Experienced in end-to-end AI/ML model development and deployment with practical cloud infrastructure expertise.
Skilled in prompt engineering and optimizing ML models for scalability and performance.
Capable of technical leadership including mentoring junior engineers and collaborating effectively across AI, data science, and software engineering teams.