Senior AI/ML Engineer (NLP & Generative AI)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer (NLP & Generative AI) with a contract length of "T+S", offering a pay rate of "unknown". It requires 4+ years of AI/ML experience, expertise in AWS ML stack, and proficiency in Python. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Malvern, PA
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🧠 - Skills detailed
#Python #Langchain #OpenSearch #AWS SageMaker #Databases #Kafka (Apache Kafka) #NLP (Natural Language Processing) #NLG (Natural Language Generation) #AWS (Amazon Web Services) #PyTorch #Model Evaluation #SageMaker #DynamoDB #Monitoring #Lambda (AWS Lambda) #ML (Machine Learning) #AWS Kinesis #AI (Artificial Intelligence) #A/B Testing #Classification
Role description
T+S
USC/GC
onsite day 1
We are looking for a Senior AI/ML Engineer to design and scale next-generation AI applications leveraging Natural Language Processing (NLP), Generative AI, and AWS-native machine
learning systems. This is a hands-on role where you’ll build production-ready models, architect LLM-driven workflows, and deliver real-world impact.
What You’ll Do
• Design and deploy intent detection, classification, and entity recognition models.
• Build natural language generation (NLG) pipelines for chatbots, summarization, and content creation.
• Architect and implement LLM workflows using LangChain and LangGraph (agents, RAG systems, orchestration).
• Develop and scale machine learning pipelines on AWS (SageMaker, Lambda, Bedrock, Step Functions, DynamoDB).
• Fine-tune and integrate foundation models via AWS Bedrock (Claude, Titan, LLaMA, etc.).
• Partner with product, research, and engineering teams to translate business needs into AI-first solutions.
• Lead experimentation, A/B testing, and continuous model evaluation.
• Mentor junior ML engineers and contribute to MLOps, governance, and responsible AI best practices.
What We’re Looking For
• 4+ years in AI/ML engineering with strong focus on NLP and Generative AI.
• Proven experience building production-ready intent detection, text classification, and NLG models.
• Hands-on with LangChain, LangGraph, vector databases (FAISS, Pinecone, Weaviate).
• Deep expertise in AWS ML stack (SageMaker, Bedrock, Lambda, Step Functions, DynamoDB).
• Proficiency in Python and ML frameworks (PyTorch, HuggingFace, scikit-learn).
• Strong MLOps knowledge: model versioning, CI/CD, monitoring, and scaling.
• Experience working with both open-source LLMs (LLaMA, Mistral, Falcon) and commercial APIs (Claude, GPT-4, Titan).
Nice to Have
• Experience with RAG (Retrieval-Augmented Generation) at scale.
• Familiarity with Amazon OpenSearch, Pinecone, or Weaviate for vector search.
• Exposure to streaming data systems (AWS Kinesis, Kafka).
• Contributions to open-source AI/ML or NLP projects.
T+S
USC/GC
onsite day 1
We are looking for a Senior AI/ML Engineer to design and scale next-generation AI applications leveraging Natural Language Processing (NLP), Generative AI, and AWS-native machine
learning systems. This is a hands-on role where you’ll build production-ready models, architect LLM-driven workflows, and deliver real-world impact.
What You’ll Do
• Design and deploy intent detection, classification, and entity recognition models.
• Build natural language generation (NLG) pipelines for chatbots, summarization, and content creation.
• Architect and implement LLM workflows using LangChain and LangGraph (agents, RAG systems, orchestration).
• Develop and scale machine learning pipelines on AWS (SageMaker, Lambda, Bedrock, Step Functions, DynamoDB).
• Fine-tune and integrate foundation models via AWS Bedrock (Claude, Titan, LLaMA, etc.).
• Partner with product, research, and engineering teams to translate business needs into AI-first solutions.
• Lead experimentation, A/B testing, and continuous model evaluation.
• Mentor junior ML engineers and contribute to MLOps, governance, and responsible AI best practices.
What We’re Looking For
• 4+ years in AI/ML engineering with strong focus on NLP and Generative AI.
• Proven experience building production-ready intent detection, text classification, and NLG models.
• Hands-on with LangChain, LangGraph, vector databases (FAISS, Pinecone, Weaviate).
• Deep expertise in AWS ML stack (SageMaker, Bedrock, Lambda, Step Functions, DynamoDB).
• Proficiency in Python and ML frameworks (PyTorch, HuggingFace, scikit-learn).
• Strong MLOps knowledge: model versioning, CI/CD, monitoring, and scaling.
• Experience working with both open-source LLMs (LLaMA, Mistral, Falcon) and commercial APIs (Claude, GPT-4, Titan).
Nice to Have
• Experience with RAG (Retrieval-Augmented Generation) at scale.
• Familiarity with Amazon OpenSearch, Pinecone, or Weaviate for vector search.
• Exposure to streaming data systems (AWS Kinesis, Kafka).
• Contributions to open-source AI/ML or NLP projects.
