Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown". Key skills include AI/ML application development, Java Spark, LLMs, and Generative AI. Experience in large-scale AI/ML initiatives is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Scala #Data Engineering #AI (Artificial Intelligence) #Java #NLP (Natural Language Processing) #Cloud #PySpark #Data Processing #Databases #ML (Machine Learning) #Deep Learning #Deployment #Big Data #Spark (Apache Spark) #Apache Spark
Role description
Title: Sr. AI/ML Engineer
Job Description:
Mandatory Skills:
designing and developing AI/ML applications and LLM, JAVA Spark.
sound knowledge on GEN AI
LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector databases (FAISS, Pinecone, ChromaDB).
Detailed Description:
• Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, Generative AI, and Big Data Engineering.
• Proven track record in leading large-scale AI/ML initiatives using Java Spark, PySpark, and cloud-native tools.
• Strong hands-on experience in LLMs, RAG with the ability to drive end-to-end solutions from architecture to production.
• Highly skilled Lead Engineer with deep expertise in Large Language Models (LLMs), Java, and Apache Spark to lead the design, development, and deployment of cutting-edge AI/ML-powered data platforms.
• This is a critical role driving innovation in AI-based systems and scalable data processing pipelines.
Title: Sr. AI/ML Engineer
Job Description:
Mandatory Skills:
designing and developing AI/ML applications and LLM, JAVA Spark.
sound knowledge on GEN AI
LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector databases (FAISS, Pinecone, ChromaDB).
Detailed Description:
• Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, Generative AI, and Big Data Engineering.
• Proven track record in leading large-scale AI/ML initiatives using Java Spark, PySpark, and cloud-native tools.
• Strong hands-on experience in LLMs, RAG with the ability to drive end-to-end solutions from architecture to production.
• Highly skilled Lead Engineer with deep expertise in Large Language Models (LLMs), Java, and Apache Spark to lead the design, development, and deployment of cutting-edge AI/ML-powered data platforms.
• This is a critical role driving innovation in AI-based systems and scalable data processing pipelines.
