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Remote, mid-level generalist AI role with broad stack increases applicant competition.
AI/ML model building and cloud deployment skills are broadly transferable across industries.
Explicit 3+ years plus mandatory ML frameworks, cloud, and integration skills increases shortlisting strictness.
Design, develop, and optimize AI/ML models focusing on integration challenges such as anomaly detection and data transformation.
Collaborate with cross-functional teams including product managers, engineers, and data scientists to integrate AI into products.
Monitor and continuously improve deployed AI functionalities while staying updated on AI advancements.
At least 3 years of experience in designing and developing AI solutions with proven integration of AI models into software applications.
Proficiency in Python and/or Java programming languages.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
Familiarity with cloud platforms like AWS, Azure, or GCP for AI model deployment.
Experienced in applying advanced machine learning and deep learning to solve complex integration challenges.
Capable of working effectively in both independent and collaborative team environments.
Skilled in end-to-end AI model lifecycle including data preparation, training, evaluation, deployment, and troubleshooting.