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Mid Level Aws Sagemaker Jobs in Illinois (NOW HIRING)

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

... AWS SageMaker, Azure ML, Snowflake, etc.). * Serve as a technical advisor and thought leader ... Mentor and support the development of junior and mid-level data scientists through code reviews ...

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

... AWS SageMaker, Azure ML, Snowflake, etc.). * Serve as a technical advisor and thought leader ... Mentor and support the development of junior and mid-level data scientists through code reviews ...

UST Inc

Mid-Level Full Stack Developer

Chicago, IL · On-site

$75K - $113K/yr

Role description Mid-Level Full Stack Developer Lead I - Software Engineering Who We Are: Born ... Utilize Amazon Web Services (AWS) to deploy, manage, and scale applications, leveraging core ...

UST

Mid-Level Full Stack Developer

Chicago, IL · On-site

They are seeking a talented and versatile Mid-Level Full Stack Developer to develop and maintain ... AWS) to deploy, manage, and scale applications, leveraging core services such as EC2, S3, RDS ...

Accenture

AWS (AABG) Mid-Market Technical Architect

Chicago, IL · On-site

$66.75 - $87.50/hr

Choosing Accenture and the AWS Practice will take your AWS experience and skills to the next level ... Mid-market organizations share the same bold ambitions as large enterprises, they are undergoing a ...

Samprasoft

Lead Developer IV

Chicago, IL · On-site

$60.75 - $79.75/hr

... mid-layer with the existing AI logic model. The existing built logic will be migrated out of Foundry and into AWS Sagemaker. This role is expected to lead and interface with the development team ...

Accenture

AWS (AABG) Mid Market Delivery Lead

Chicago, IL · On-site

$66.75 - $87.50/hr

Choosing Accenture and the AWS Practice will take your AWS experience and skills to the next level ... Mid-market organizations share the same bold ambitions as large enterprises, they are undergoing a ...

GRVTY

Mid-Level Systems Engineer

Virginia, IL

... AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB ... What You'll Be Owning GRVTY is seeking a Mid-Level Systems Engineer with a TS/SCI + Poly clearance ...

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Mid Level Aws Sagemaker information

What are the key skills and qualifications needed to thrive as a Mid Level AWS SageMaker Engineer, and why are they important?

To thrive as a Mid Level AWS SageMaker Engineer, you need a solid background in machine learning, Python programming, and data analysis, typically supported by a relevant degree and experience with cloud-based ML solutions. Proficiency with AWS SageMaker, related AWS services (like S3, Lambda, and EC2), and familiarity with infrastructure-as-code tools or relevant AWS certifications are highly valued. Strong problem-solving skills, attention to detail, and effective communication help you translate business problems into deployable machine learning solutions. These skills ensure that models are efficiently developed, deployed, and maintained to meet organizational objectives in a scalable and secure cloud environment.

What are some common challenges faced by mid-level AWS SageMaker professionals and how can they be addressed?

Mid-level AWS SageMaker professionals often encounter challenges such as optimizing model training costs, managing scalable deployments, and ensuring data security within cloud environments. Balancing model accuracy with computational efficiency is key, as is staying updated with the rapidly evolving AWS ecosystem. Collaborating closely with data engineers, DevOps, and business stakeholders is essential for integrating models into production. Continuous learning, leveraging AWS documentation, and participating in internal knowledge-sharing sessions can help address these challenges effectively.

What does a Mid Level AWS SageMaker engineer do?

A Mid Level AWS SageMaker engineer is responsible for designing, building, and deploying machine learning models using AWS SageMaker services. They work with data scientists and engineers to prepare data, train models, and optimize workflows on the AWS cloud platform. Their role often includes automating model deployment, monitoring model performance, and ensuring scalability and security of ML solutions. They also help troubleshoot issues and implement best practices for using SageMaker in production environments.

What is the difference between Mid Level Aws Sagemaker vs Data Scientist?

AspectMid Level Aws SagemakerData Scientist
Required CredentialsAWS certifications, basic data analysis skillsAdvanced degrees in data science, statistics, or related fields
Work EnvironmentCloud platforms, machine learning pipelinesData analysis, modeling, research environments
Industry UsageMachine learning deployment on AWSData analysis, predictive modeling across industries

Mid Level Aws Sagemaker professionals focus on deploying and managing machine learning models on AWS, requiring cloud and ML platform skills. Data Scientists analyze data, build models, and interpret results, often with advanced degrees. While both roles involve machine learning, Mid Level Aws Sagemaker specialists are more cloud deployment-oriented, whereas Data Scientists focus on data analysis and modeling.

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Mid Level Aws Sagemaker jobs near you

Senior Data Scientist

Launch Consulting

Chicago, IL • On-site

$140K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Job Description
Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here.
The Role:
As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques.
Key Responsibilities:
  • Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes.
  • Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP.
  • Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development.
  • Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation.
  • Apply experimental design best practices (e.g. A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting.
  • Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.).
  • Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices.
  • Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing.
  • Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions.
Required Qualifications:
  • 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments.
  • Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face.
  • Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures.
  • Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems.
  • Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases.
  • Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale.
  • Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry.
  • Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment.
  • Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively.
Preferred Qualifications:
  • Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies.
  • Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD).
  • Certifications related to Epic, FHIR, or other health IT platforms are a plus.
  • Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation.
  • Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery.
Benefits & Compensation:
As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
The consulting industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the recruiter to ensure it's from @launchcg.com - and not a domain with an alternative extension like .net, .org or .jobs. Candidate safety is a top priority at Launch.
Launch Consulting is an equal opportunity employer. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your Launch representative, or contact us, so that we can discuss the appropriate alternatives available.

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