Vaiticka Solution
Data Science Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Engineer (AWS) with 9+ years of experience in Data Science/Machine Learning, focusing on NLP and Generative AI. It is a contract position based in Houston, TX, offering a hybrid work environment.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
January 27, 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
#Data Pipeline #NumPy #AI (Artificial Intelligence) #SageMaker #Langchain #Classification #S3 (Amazon Simple Storage Service) #ML (Machine Learning) #Databases #Pandas #Monitoring #Model Deployment #Microservices #NLP (Natural Language Processing) #Deep Learning #Sentiment Analysis #AWS SageMaker #Data Science #PyTorch #Lambda (AWS Lambda) #Deployment #NER (Named-Entity Recognition) #TensorFlow #AWS (Amazon Web Services) #Python #EC2 #OpenSearch
Role description
Position: Data Science Engineer (AWS) – NLP & GenAI
Experience: 9+ Years
Location: Houston, TX (Hybrid)
Employment: Contract
Job Description
• 9+ 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, embedding)
• 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)
Position: Data Science Engineer (AWS) – NLP & GenAI
Experience: 9+ Years
Location: Houston, TX (Hybrid)
Employment: Contract
Job Description
• 9+ 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, embedding)
• 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)
