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Junior Full Stack Machine Learning Engineer Jobs in Illinois

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

Our products are delivered with a full monitoring solution to ensure our products continue to ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Lead Machine Learning Engineer

Chicago, IL

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end ... For additional information, please see our full Thoughtworks AI Policy for Recruitment. EEO ...

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars ...

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Other AWS services not mentioned above (Hosted DBs, SQS, Machine Learning) * Terraform Additional ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Showing results 21-40

Junior Full Stack Machine Learning Engineer information

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Illinois? The most popular types of Full Stack Machine Learning Engineer jobs in Illinois are:
What cities in Illinois are hiring for Junior Full Stack Machine Learning Engineer jobs? Cities in Illinois with the most Junior Full Stack Machine Learning Engineer job openings:

Senior Machine Learning Engineer

RIT Solutions, Inc.

Chicago, IL • On-site

$107K - $147K/yr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer to help build algorithmic assets and features that enhance the guest experience and operational efficiencies at Hyatt. The role involves designing and implementing product architectures for machine learning models and collaborating with various teams to ensure successful integration and execution.
Responsibilities:
• Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
• Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
• Implement and productionize final solutions via infrastructure-as-code pattern.
• Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
• Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
• Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
• Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.
• Partner with data architecture, data governance, and security team to ensure solutions meet required standards.
Qualifications:
Required:
• 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required
• Expertise in AWS cloud services
• Expertise in Python, SQL, PySpark, Docker
• Experience with streaming and batch data architectures at scale
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts
• Excellent communication and teamwork skills
• master's degree in computer science, software engineering, or related fields required
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.