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Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI
Acosta requires legally authorized to work in the United States and/or Canada without the current or future need for employer‑sponsored work authorization
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain)
Understanding of responsible AI principles, including fairness, transparency, and data privacy
Seeing
LLMs & Generative AI: Strong understanding of Large Language Models, fine‑tuning, and RAG pipelines
Ability to rapidly learn and apply new AI tools and frameworks in a fast‑evolving technology landscape
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables)
Bachelor's Degree in Technology Industry is preferred or equivalent work experience
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering
Listening
Familiarity with MLOps practices and tools for model lifecycle management and monitoring
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response
Experience with cloud‑based development environments, particularly Microsoft Azure

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89% of jobs ask for a resume

Don't let the perfect job slip away—upload your resume and we'll personalize your results instantly.

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