Buffalo Grove, IL

Data Jobs in Buffalo Grove, IL

4 jobs found

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Today

AWS AI Engineer

Hudson Manpower Buffalo Grove, IL 🇺🇸 Remote

Buffalo Grove, IL

Today

Full time AI Amazon Web Services Artificial Intelligence

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Job Description

Hudson Manpower is looking for a Senior AWS AI Engineer to design and deliver production-grade AI and ML services on AWS, with a focus on retrieval-augmented generation and fine-tuning large language models. The role supports enterprise automation and governance through AWS-native microservices, enabling scalable AI solutions across business processes. This position is based in Buffalo Grove, Illinois, with remote work options available.

Responsibilities

Direct, hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services spanning infrastructure, machine learning, and AI platform offerings.
Develop LLM-based applications, incorporating Retrieval-Augmented Generation (RAG) with LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Partner with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Communicate effectively in English, both verbally and in writing.

Requirements

7 years of hands-on software engineering experience with a strong focus on Python.
Experience with AWS services, especially Bedrock, SageMaker, ECS, and Lambda.
Familiarity with AWS Organizations and policy guardrails (SCP, AWS Config).
Experience with Retrieval-Augmented Generation (RAG) architectures and using LangChain and similar frameworks.
Proficiency in fine-tuning large language models, building datasets, and deploying ML models to production.
Strong background in Infrastructure as Code best practices with experience building Terraform modules for AWS.
Solid experience with Git-based version control, code reviews, and DevOps workflows.
Proven track record of delivering production-ready software with release pipeline integration.

Technologies

Python
AWS Bedrock, SageMaker, ECS, Lambda
AWS Organizations, SCP, AWS Config
LangChain
Transformers, PyTorch, TensorFlow
Terraform, Terraform Sentinel
AWS Step Functions, DynamoDB, S3
Hugging Face
Node.js, Golang
GitHub

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Referral bonuses

Minimum Knowledge, Skills, and Abilities Required

7 years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, particularly Bedrock or SageMaker.
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid background in implementing RAG architectures and LangChain.
Experience with Infrastructure as Code practices and Terraform module development for AWS.
Strong Git-based version control, code reviews, and DevOps workflows.
Demonstrated success delivering production-ready software with release pipeline integration.

Nice-To-Haves

AWS or relevant cloud certifications
Policy as Code development such as Terraform Sentinel
Experience with Hugging Face, Golang, or Node.js
Exposure to FinOps and cloud cost optimization
Data science background or experience with structured and unstructured data
Awareness of data privacy and compliance best practices (PII handling, secure model deployment)

What You’ll Get

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

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11d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Buffalo Grove, IL 🇺🇸 Remote

Buffalo Grove, IL

11d ago

Full time AI Ai Ml Amazon Bedrock

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Job Description

This senior GenAI and Machine Learning Data Scientist role is a remote W2 position with a base in Buffalo Grove, IL. It calls for a seasoned professional (10+ years) to prototype PoCs and MVPs using AI and ML techniques in Python, leveraging leading ML frameworks.

Requirements

AI/ML Knowledge: Strong foundation in artificial intelligence, deep learning, and machine learning principles, with the ability to translate concepts into prototypes and practical solutions.
Programming Skills: Proficiency in Python and experience with tooling such as Hugging Face, Langchain, and the OpenAI API to build and iterate models.
Deep Learning Frameworks: Hands-on experience with TensorFlow, Keras, and PyTorch for model development and experimentation.
Cloud Platforms: Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia Nim for deployment, hosting, and experimentation environments.
Multi-Modal Data and AI Tools: Experience working with multi-modal data and intelligent agent-based tools to design integrated AI systems.
Mindset: Self-motivated, collaborative, and innovative problem solver with a passion for advancing AI and GenAI initiatives.

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Benefits

100% Remote

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1mo ago

Data Engineer - AI and Analytics

CVS Health Buffalo Grove, IL

Buffalo Grove, IL

1mo ago Closed

$79k - $159k/yr Full time Analytics Big Data Bigquery

This position is no longer accepting applications (closed Jun 25, 2026).

Job Description

Data Engineer - AI and Analytics at CVS Health in Buffalo Grove, IL, onsite, focused on designing, building, and maintaining large-scale data pipelines and data products to support healthcare decision-making and consumer touchpoints in a cloud-based environment.

Responsibilities

Design, build, and maintain scalable data pipelines to assemble large, complex datasets across CVS lines of business.
Partner with cross-functional teams to create tools that deliver actionable insights and integrate them with consumer touchpoints.
Utilize modern tools to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data.
Contribute to delivering industry-leading data products and software with a customer-first, collaborative mindset.
Collaborate with diverse teams in an agile environment to provide innovative data solutions for business challenges.

Requirements

At least 1 year of hands-on experience with SQL and NoSQL databases.
At least 1 year of Python development experience.
At least 1 year working with data warehouses, including data modeling, technical architectures, and related infrastructure components.
At least 1 year building high-volume ETL/ELT processes and data pipelines.
At least 1 year designing and implementing data engineering solutions in cloud environments, preferably GCP; AWS or Azure are acceptable alternatives.
At least 1 year using reporting and analytics tools.
At least 1 year focusing on query optimization, data structures, transformations, metadata, dependencies, and workload management.
At least 1 year working with big data and cloud architectures.
Experience building agentic AI solutions.
Experience solving complex systems and challenging analytical problems.
Strong collaboration and communication skills within and across teams.
Experience with Git, CI/CD pipelines, and other DevOps best practices.
Experience creating Bash shell scripts and using UNIX utilities and commands.
Understanding of software development methodologies including waterfall and agile.
Ability to leverage multiple tools and programming languages to analyze and integrate data from disparate sources.
Knowledge of API development.
Google Professional Data Engineer Certification.
Knowledge of microservices and SOA.
Formal SAFe and/or agile experience.
Previous healthcare experience and domain knowledge.

Technologies

Python
SQL
NoSQL
Data warehouses
ETL/ELT
GCP
AWS
Azure
Git
CI/CD
Bash scripting
UNIX utilities and commands
API development
Google Professional Data Engineer Certification
Microservices and SOA

Benefits

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources based on eligibility
Bonus, commission or short-term incentive program

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is $79,310.00 - $158,620.00 per year. This range represents the base salary for positions within this job grade and may vary by experience, education, geography, and other factors. This position is eligible for a CVS Health bonus, commission, or short-term incentive program in addition to base pay.

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2mo ago

Senior Data Engineer - AI and Analytics

CVS Health Buffalo Grove, IL

Buffalo Grove, IL

2mo ago Closed

$102k - $204k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

Benefits

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families
Other resources, based on eligibility

Location and compensation

Location: Buffalo Grove, IL on site

Salary: USD 101,970 - 203,940 per year

Employment type: Full time

Anticipated weekly hours: 40 hours

Bonus eligibility: Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range

Responsibilities

Design, develop, and maintain scalable data pipelines to assemble large, complex datasets supporting multiple CVS lines of business
Partner with cross-functional teams to build analytics tools that deliver actionable insights and integrate them with consumer touchpoints
Tackle intricate data challenges by applying modern storage, processing, transformation, and enrichment techniques for terabyte to petabyte scale healthcare data, with security in mind
Operate in a dynamic, agile environment with cross-functional teams to deliver innovative data solutions for business needs
Address challenges linked to large-scale structured and unstructured data

Requirements

SQL: 3–5+ years
NoSQL: 3–5+ years
Python: 3–5+ years
Data warehousing, data modeling, and related infrastructure components: 3+ years
ETL/ELT and building high-volume data pipelines: 3+ years
Reporting and analytics tools: 3+ years
Query optimization, data structures, transformation, metadata, dependency, and workload management: 3+ years
Big data and cloud architecture: 3+ years
Modern data pipelines on a major cloud platform, preferably GCP; AWS or Azure also acceptable: 3+ years
Deployment and scaling of apps in containerized environments (Kubernetes, AKS): 3+ years
Real-time and streaming technologies (Azure Event Hubs, Azure Functions, Kafka, Spark Streaming): 3+ years
Gaining complex requirements and managing relationships with key stakeholders: 1+ year
Independent delivery of project deliverables: 1+ year

Technologies

SQL
NoSQL
Python
Google Cloud Platform (GCP)
AWS
Azure
Kubernetes
AKS
Azure Event Hubs
Azure Functions
Kafka
Spark Streaming
Git
CI/CD
Bash
UNIX utilities and commands
API development
Google Professional Data Engineer Certification

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Data Jobs in Buffalo Grove, IL

AWS AI Engineer

GENAI / MACHINE LEARNING AI / DATA Scientist

Data Engineer - AI and Analytics

Senior Data Engineer - AI and Analytics

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