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Independent Contractor Aws Machine Learning Jobs in Tennessee

AI Engineer

Nashville, TN · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

This role is ideal for an engineer with a strong foundation in AI, machine learning, or data ... Familiarity with cloud platforms including Microsoft Azure and AWS. * Experience working with:

Senior Software Engineer Applied AI

Nashville, TN · On-site

$118K - $156K/yr

... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... Infrastructure as code across multiple environments (we run on AWS) * Managed compute, data ...

New

Data Scientist

Franklin, TN · On-site

$90 - $130/hr

The Data Scientist drives the organization's advanced analytics, machine learning, and AI ... Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business ...

The Data Scientist drives the organization's advanced analytics, machine learning, and AI ... Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... conduct, and independence requirements. The Opportunity As part of the Data and Analytics ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

AI Solutions Engineering Delivery Lead

Nashville, TN · On-site

$99K - $130K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... independence requirements. The Opportunity : The AI Solutions Engineering Delivery Lead will ...

Showing results 41-60

Independent Contractor Aws Machine Learning information

What does an independent contractor AWS machine learning do?

An Independent Contractor specializing in AWS Machine Learning works on a freelance or contract basis to design, develop, and deploy machine learning solutions using Amazon Web Services. They may help clients with data preparation, model training, and integration of machine learning models into existing systems using AWS tools like SageMaker, Lambda, and S3. Their responsibilities often include consulting on best practices, optimizing workflows, and ensuring scalable, secure machine learning infrastructures in the cloud.

What skills and qualifications are needed to thrive as an independent contractor AWS machine learning?

To thrive as an Independent Contractor AWS Machine Learning Specialist, you need expertise in machine learning algorithms, data analysis, and proficiency with Python, as well as a strong understanding of AWS services like SageMaker and Lambda. Familiarity with cloud-based ML tools, experience with data pipelines, and AWS certifications such as AWS Certified Machine Learning – Specialty are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate with clients and deliver solutions efficiently. These skills ensure you can design, implement, and optimize machine learning models in scalable cloud environments, meeting diverse client needs.

What are common challenges faced by independent contractors working on AWS machine learning projects, and how can they be managed?

Independent contractors in AWS Machine Learning often face challenges such as staying updated with rapidly evolving AWS services, managing project scope with limited resources, and ensuring data security and compliance. To address these, it's important to regularly participate in AWS training, maintain clear communication with clients about project expectations, and follow best practices for security and data handling. Proactively setting up efficient workflows and leveraging AWS documentation and community forums can also help manage technical and logistical hurdles.

What is the difference between Independent Contractor Aws Machine Learning vs Data Scientist?

AspectIndependent Contractor Aws Machine LearningData Scientist
CredentialsCertifications in AWS, Machine Learning, and cloud computingDegree in Data Science, Statistics, or related field; often certifications like SAS or Python
Work EnvironmentFreelance, project-based, remote or on-site in cloud environmentsFull-time, corporate or research settings, often in office or remote
Employer & IndustryClients across various industries using AWS cloud servicesOrganizations in tech, finance, healthcare, and research sectors

While both roles involve data analysis and machine learning, an Independent Contractor Aws Machine Learning specializes in deploying models on AWS cloud platforms as a freelancer, whereas a Data Scientist typically works within organizations analyzing data and building models in a more permanent role.

What are the most commonly searched types of Aws Machine Learning jobs in Tennessee?

The most popular types of Aws Machine Learning jobs in Tennessee are:

What cities in Tennessee are hiring for Independent Contractor Aws Machine Learning jobs?

Cities in Tennessee with the most Independent Contractor Aws Machine Learning job openings:

Senior/Lead Data Scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Re-posted 15 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,619 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Job Summary:
Starbucks is a company known for celebrating coffee and rich tradition, and they are seeking a Senior/Lead Data Scientist. In this role, you will guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems.
Responsibilities:
• Develop and apply analytical models (statistical and/or machine learning) to improve decision-making, performance, and customer/partner outcomes.
• Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non-technical stakeholders.
• Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).
Qualifications:
Required:
• 4+ years in data science, applied analytics, or a closely related field
• BA/BS in a quantitative field (or equivalent practical experience)
• Proficiency with Python or R and SQL
Preferred:
• MS/PhD in a quantitative discipline (or equivalent advanced experience)
• Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
• Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
• Familiarity with experiment design / causal inference and translating results into business actions
• Demonstrated ability to mentor others and influence cross-functional partners toward adoption
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Starbucks employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Starbucks logo

About Starbucks

Sourced by ZipRecruiter

Starbucks Corporation is an American multinational chain of coffeehouses and roastery reserves. It is one of the largest coffeehouse chains in the world. Starbucks was founded in Seattle, Washington in 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker. The company's initial focus was on selling whole coffee beans and coffee-making equipment. Over the years, Starbucks has expanded its operations and become known for its distinctive coffeehouse atmosphere and high-quality coffee products. The company offers a wide range of beverages, including various coffee-based drinks, teas, hot chocolates, and other specialty drinks. Starbucks also serves a variety of food items such as pastries, sandwiches, salads, and snacks. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. In addition to its traditional coffeehouses, Starbucks has expanded its brand to include different store formats. This includes drive-thru locations, express stores, and even upscale Reserve Roasteries and Reserve Bars that offer a more immersive coffee experience. Starbucks is also known for its ethical sourcing practices. The company has implemented programs such as Coffee and Farmer Equity (C.A.F.E.) Practices, which promote environmentally friendly and socially responsible coffee production. Starbucks has a commitment to ethically sourcing its coffee beans and has made efforts to support sustainable farming practices and improve the livelihoods of coffee farmers. The Starbucks brand has a global presence, with thousands of stores in countries around the world. It has become a symbol of premium coffee and a popular destination for coffee lovers worldwide. The company's success has made it an iconic brand and a significant player in the global coffee industry.

Industry

Food services and drinking places and restaurants

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US