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Metro location, broad AI/generalist skills, and junior generalist title increase applicant competition.
AI/ML engineering skills transfer easily across industries, so background sensitivity is low.
Explicit experience requirement and multiple mandatory tech skills enforce moderate filtering.
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Develop and enhance AI/GenAI based products and solutions including design, development, unit and integration testing.
Participate in entire AI development lifecycle: data collection, preprocessing, model training, evaluation, and deployment.
Work with multiple technologies and databases to enable rapid development, scalability, and security improvements.
3 to 6 months experience in software industry as AI Engineer.
Bachelor's degree in engineering or equivalent.
Proficiency in Python, FastAPI, PyTest, Celery, AI/ML, GenAI, MLOps concepts, object-oriented programming, concurrency, design patterns, REST APIs.
Familiarity with CI/CD tools (Terraform, GitHub Actions), AI frameworks (LangChain, LangGraph), and databases (SQL, NoSQL including MongoDB, MSSQL, Postgres).
Exhibits initiative by proposing and owning projects beyond assigned scope.
Strong troubleshooting skills with logic-based thinking to identify root causes.
Effective and clear communication skills, capable of initiating collaborative discussions and conveying information precisely.