Spatial Front, IncSI

AWS Machine Learning Engineer

Spatial Front, Inc. specializes in providing innovative technical solutions and mission support services, excelling in the government IT sector.

Spatial Front, Inc

Employee count: 501-1000

Salary: 100k-170k USD

United States only
Description

SFI seeks an AWS Machine Learning Engineer 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 Bachelor’s or Master’s 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 be authorized 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 - $170,000 annually
  • For information on SFI's benefits please visit http://www.spatialfront.com/pages/career.html
  • 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.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 100k-170k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Spatial Front, Inc

Learn more about Spatial Front, Inc and their company culture.

View company profile

At Spatial Front, Inc. (SFI), we pride ourselves on being an industry leader in technology solutions, providing unparalleled technical and mission support services across various sectors, particularly to government agencies. Since our establishment in 2008, we have focused on leveraging innovative technologies and best practices to meet and exceed the most pressing needs of our clients. Our mission is to deliver cutting-edge solutions that enhance operational efficiency and effectiveness in achieving national priorities.

Our company culture is built on the values of integrity, innovation, dedication, and collaboration. We believe that by fostering an environment of lifelong learning and professional growth, we can empower our team to perform at their best. This collaborative ethos extends to our work with clients, as we prioritize open communication and joint problem-solving. Over the years, we have achieved remarkable growth, boasting a customer satisfaction rating of 98% and consistently being honored as one of the fastest-growing private companies in the U.S. on the Inc. 5000 list. We aim not just to serve but to innovate continuously, adapting to evolving challenges and contributing positively to our communities.

Claim this profileSpatial Front, Inc logoSI

Spatial Front, Inc

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

11 remote jobs at Spatial Front, Inc

Explore the variety of open remote roles at Spatial Front, Inc, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Spatial Front, Inc
Spatial Front, Inc logoSI
United States only

Sr. Business Analyst

Spatial Front, Inc

Employee count: 501-1000

Salary: 70k-110k USD

Spatial Front, Inc logoSI
United States only

ServiceNow Solution Architect

Spatial Front, Inc

Employee count: 501-1000

Salary: 110k-170k USD

Spatial Front, Inc logoSI
United States only

Senior Business Analyst (ServiceNow)

Spatial Front, Inc

Employee count: 501-1000

Salary: 85k-130k USD

Spatial Front, Inc logoSI
United States only

Help Desk Analyst

Spatial Front, Inc

Employee count: 501-1000

Salary: 60k-82k USD

Spatial Front, Inc logoSI
United States only

Senior Application Developer

Spatial Front, Inc

Employee count: 501-1000

Salary: 90k-138k USD

Spatial Front, Inc logoSI
United States only

Software Engineer (Angular Experience Required)

Spatial Front, Inc

Employee count: 501-1000

Salary: 90k-130k USD

Remote companies like Spatial Front, Inc

Find your next opportunity by exploring profiles of companies that are similar to Spatial Front, Inc. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 85,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan
Spatial Front, Inc hiring AWS Machine Learning Engineer • Remote (Work from Home) | Himalayas