Vaiticka Solution
Data Science Engineer (AWS) – NLP & GenAI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Engineer (AWS) – NLP & GenAI for a contract position in Houston, TX. Requires 12+ years in Data Science, strong AWS skills, NLP expertise, Generative AI experience, and proficiency in Python and Deep Learning frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
January 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Pandas #Deep Learning #SageMaker #NLP (Natural Language Processing) #Python #ML (Machine Learning) #Deployment #Databases #Lambda (AWS Lambda) #Classification #NER (Named-Entity Recognition) #EC2 #Microservices #OpenSearch #NumPy #Monitoring #PyTorch #Sentiment Analysis #Model Deployment #AI (Artificial Intelligence) #Data Science #Langchain #TensorFlow #AWS (Amazon Web Services) #Data Pipeline #S3 (Amazon Simple Storage Service) #AWS SageMaker
Role description
Job Title Data Science Engineer (AWS) – NLP & GenAI
Job Location: Houston, TX (Hybrid)
Job Type – Contract
Job Description:
Key Skills & Requirements:
• 12+ years of experience in Data Science / Machine Learning
• Strong hands-on experience with AWS (SageMaker, S3, Lambda, EC2, Bedrock preferred)
• Solid expertise in NLP (text classification, NER, sentiment analysis, embeddings)
• Practical experience with Generative AI / LLMs (prompt engineering, fine-tuning, RAG)
• Proficiency in Python, Pandas, NumPy, Scikit-learn
• Experience with Deep Learning frameworks: PyTorch / TensorFlow
• Knowledge of MLOps (model deployment, CI/CD, monitoring)
• Experience with APIs, microservices, and data pipelines
Nice to Have:
• Experience with LangChain / LlamaIndex
• Vector databases (Pinecone, FAISS, OpenSearch)
-Thanks & regards
Akram Khan
Job Title Data Science Engineer (AWS) – NLP & GenAI
Job Location: Houston, TX (Hybrid)
Job Type – Contract
Job Description:
Key Skills & Requirements:
• 12+ years of experience in Data Science / Machine Learning
• Strong hands-on experience with AWS (SageMaker, S3, Lambda, EC2, Bedrock preferred)
• Solid expertise in NLP (text classification, NER, sentiment analysis, embeddings)
• Practical experience with Generative AI / LLMs (prompt engineering, fine-tuning, RAG)
• Proficiency in Python, Pandas, NumPy, Scikit-learn
• Experience with Deep Learning frameworks: PyTorch / TensorFlow
• Knowledge of MLOps (model deployment, CI/CD, monitoring)
• Experience with APIs, microservices, and data pipelines
Nice to Have:
• Experience with LangChain / LlamaIndex
• Vector databases (Pinecone, FAISS, OpenSearch)
-Thanks & regards
Akram Khan
