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Mid-level, generalist AI role in metro with broad skills and remote collaboration, increasing applicant competition.
Requires specialized ML/production skills but applicable across industries, making background moderately transferable.
Explicit 3–5 years, mandatory ML production experience and specific ML libraries increase filtering strictness.
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Design, train, and optimize AI/ML models using frameworks like Kubeflow, PyTorch, TensorFlow, with focus on deep learning, NLP, and computer vision.
Translate business use cases into scalable AI model architectures including feature engineering and pre-processing.
Collaborate with Data Engineers and stakeholders to integrate models into production, ensuring compliance, explainability, and business value realization.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
3 – 5 years of experience designing and deploying AI/ML models in production environments.
Strong Python skills with deep familiarity in ML/DL libraries (Kubeflow, PyTorch, TensorFlow, scikit-learn).
Demonstrated success with practical AI applications (agents, vision, forecasting) and understanding of model lifecycle and deployment readiness.
Experienced AI engineer comfortable designing explainable and scalable models aligned with business requirements.
Skilled at collaborating across technical and non-technical teams globally including India, US, and Europe.
Practitioner familiar with model governance, compliance, AI ethics, and cloud technologies (preferably Google Cloud).