JBS Technologies Inc

AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown" and a pay rate of "unknown". Requires 4+ years in Python, big data systems, LLMs, and NLP. Experience with trading platforms like Bloomberg is a plus.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 27, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#PySpark #Big Data #AI (Artificial Intelligence) #Hugging Face #Langchain #Spark (Apache Spark) #Microservices #Transformers #Data Science #Hadoop #NLP (Natural Language Processing) #ML (Machine Learning) #Data Processing #Classification #Python #Scala #"ETL (Extract #Transform #Load)" #Databases
Role description
Need Good Hands On Exp on AI/ML Development Exp working with Trading Platforms Such as Bloomberg a Plus Required Qualifications β€’ 4+ years of professional experience in Python software development. β€’ Proven experience working with big data systems, particularly Hadoop, PySpark, or related technologies. β€’ Practical experience using LLMs, vector databases, embedding pipelines, and retrieval-augmented generation (RAG) architectures. β€’ Familiarity with NLP tasks such as classification, summarization, and information extraction. β€’ Experience building or maintaining APIs and microservices. β€’ Experience with Model Context Protocol (MCP) for managing prompts and contextual data across LLM applications. Preferred Qualifications β€’ Familiarity with LLMOps tools and scalable inference strategies. β€’ Prior work with LangChain, Hugging Face Transformers, or vLLM runtime environments. β€’ Data scientist–related experience, such as collaborating on model training and evaluation, aligning data processing logic to ML objectives, or working on feature engineering and experimentation pipelines. β€’ Background in financial services, enterprise software, or regulated environments.