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Data Scientist (AWS Experience )

Company:
Spatial Front
Location:
North Bethesda, MD, 20852
Posted:
May 16, 2025
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Description:

Job Description

Salary: 100k-170k

Description

SFI seeks a Data Scientist to join our team in developing an AI-driven platform that enhances the accessibility and analysis of structured and unstructured data. This role involves implementing advanced search capabilities, machine learning models, and a knowledge graph to extract insights, identify patterns, and support data-driven decision-making.

This role is focused on machine learning model development, NLP, and AI-driven automation using AWS Bedrock, SageMaker Unified Studio, and Comprehend. The ideal candidate has 5+ years of experience in LLM deployment, ML model training, NLP, and RAG (Retrieval-Augmented Generation) techniques. The role involves developing scalable AI models for generative and predictive analytics, text processing, and intelligent automation, leveraging AWS-native AI/ML solutions.

Primary Responsibilities:

Develop, train, and fine-tune LLMs and ML models using AWS Bedrock, SageMaker Unified Studio, and Comprehend.

Design and implement Retrieval-Augmented Generation (RAG) pipelines to improve LLM responses.

Use SageMaker Unified Studio to manage the end-to-end ML lifecycle, including data preparation, training, tuning, and deployment.

Build, deploy, and optimize NLP models for text classification, sentiment analysis, and entity recognition.

Implement automated ML training pipelines, leveraging MLOps best practices in AWS.

Collaborate with data engineers and software developers to integrate AI models into cloud-based applications.

Utilize AWS Neptune for knowledge graphs to enhance LLM retrieval efficiency.

Monitor, validate, and retrain models to ensure high performance in production environments.

Stay up to date with AWS AI/ML advancements and recommend emerging tools and techniques.

Requirements

A Bachelors or Masters degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.

5+ years of experience in machine learning, LLM deployment, NLP, or AI-driven automation.

Hands-on experience with AWS Bedrock for LLM fine-tuning, RAG, and generative AI applications.

Proficiency in AWS SageMaker Unified Studio for managing the full ML model lifecycle.

Experience using AWS Comprehend for NLP model development.

Proficient in Python and SQL, with strong knowledge of data preprocessing and ML model tuning.

Experience implementing vector databases, embeddings, and search pipelines for RAG architectures.

Ability to work in an Agile environment and adapt to rapid changes in project requirements.

Desired Skills & Qualifications

Experience with AWS Neptune for graph-based ML to improve knowledge retrieval in LLMs.

Familiarity with AWS Elasticsearch for AI-driven search solutions.

Knowledge of AWS Lambda, Glue, Step Functions, and other serverless computing services.

Experience with business intelligence tools such as Tableau or Power BI.

Understanding of SAFe or other Agile frameworks.

Certifications:Preferred but not required:

AWS Machine Learning Specialty or equivalent AI/ML certifications.

Additional Information

In order to meet the clearance requirements for this opportunity, candidates must beauthorized to work in the US

All candidates will be subject to a complete background check to include, but not limited to Criminal History, Education Verification, Professional Certification Verification, Verification of Previous Employment and Credit History.

Public Trust background investigations can take approximately four to eight weeks and requires fingerprinting.

Other Information

The salary for this position is$100,000 - $170,000annually

This position requires 1-2 days per week in office located in Rockville, MD

For information on SFI's benefits please visit

This is a full-time W2 position.

Please no agencies, third parties, or Corp-to-corp.

Spatial Front Inc. is an Equal-opportunity Employer, all qualified applicants will receive consideration for employment.

Spatial Front Inc. participates in E-Verify.

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