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Junior Ai Machine Learning Python Jobs in Tennessee

CTI

Junior AI Developer

Memphis, TN · On-site +1

$60K - $78K/yr

... machine learning, or backend development. General Skills: Must have strong software engineering ... The ideal candidate brings hands-on experience with Python and modern data tooling and is ...

Brooksource

AI Engineer (Intermediate)

Franklin, TN · On-site

$65 - $80/hr

... machine learning solutions. * Experience working with Large Language Models (LLMs), prompt engineering, and AI APIs. * Experience building AI applications using Python or similar programming ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine ...

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Junior Ai Machine Learning Python information

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Tennessee? For Junior Ai Machine Learning Python jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Tennessee look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Tennessee are:
What cities in Tennessee are hiring for Junior Ai Machine Learning Python jobs? Cities in Tennessee with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

Junior AI Solutions Engineer - AI Taskforce

Tencate Grass

Chattanooga, TN

Full-time

Re-posted 26 days ago

Job description

Junior AI Solutions Engineer – AI Taskforce

TenCate
Location: Flexible, USA / Global
Job Type: Full-Time
Experience Level: Early Career, 0–3 Years
Travel: Minimal, depending on role requirements
Reports To: Chief Information Officer, through the AI Taskforce

Company Overview

TenCate Grass is a global leader in synthetic turf systems, operating a vertically integrated value chain from polymer production through recycling. As artificial intelligence becomes increasingly important to innovation, operational efficiency, and customer service, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce.

The AI Taskforce develops scalable, governed, and business-aligned AI solutions supporting TenCate operations across EMEA, the United States, and APAC.

Position Summary

TenCate is seeking a Junior AI Solutions Engineer to support the design, development, and deployment of enterprise AI solutions within a governed delivery framework.

This position will collaborate with business stakeholders, product owners, senior engineers, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.

The role is ideal for an early-career professional seeking to build a strong foundation in enterprise AI engineering through mentorship, structured processes, and exposure to global business operations.

Key Responsibilities

Responsibilities include, but are not limited to:

  • Support the development of AI solutions across commercial, operational, and marketing functions.

  • Work within TenCate’s enterprise AI technology stack, including Claude, Azure, Microsoft Fabric, Copilot, and Power BI.

  • Assist with building AI models, workflows, integrations, and reusable components aligned with business requirements.

  • Support the testing, deployment, monitoring, and optimization of AI solutions.

  • Help monitor data quality, model performance, system reliability, and solution adoption.

  • Assist with maintaining data pipelines, system integrations, and technical components.

  • Follow established architecture, cybersecurity, data-governance, and compliance standards.

  • Participate in structured project intake, validation, documentation, and approval processes.

  • Help translate business requirements and operational challenges into practical technical solutions.

  • Collaborate with senior engineers and cross-functional teams across global regions.

  • Assist with user onboarding, training, playbooks, and knowledge materials for new AI solutions.

  • Gather user feedback and support continuous improvement after implementation.

  • Research emerging AI capabilities and contribute to internal best practices.

Qualifications and Experience

  • Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Zero to three years of relevant experience, including internships, academic projects, or professional experience.

  • Foundational knowledge of Python, SQL, and data-processing concepts.

  • Basic understanding of APIs, data pipelines, and system integration.

  • Familiarity with the Microsoft ecosystem, including Azure, Power Platform, or Copilot.

  • Basic understanding of AI and large language model tools, such as Claude or Copilot.

  • Awareness of data quality, cybersecurity, privacy, and governance principles.

  • Ability to translate technical concepts into clear, business-focused communication.

  • Strong analytical, organizational, and problem-solving skills.

  • Coursework, certifications, or hands-on projects involving AI, data, software development, or automation preferred.

Technical Skills and Core Competencies

  • Foundational Python and SQL programming.

  • Data processing, validation, and quality monitoring.

  • API and system-integration fundamentals.

  • Basic AI and large language model application development.

  • Familiarity with Azure, Microsoft Fabric, Power Platform, Copilot, or Power BI.

  • Technical documentation and process development.

  • Structured problem-solving and attention to detail.

  • Strong written and verbal communication skills.

  • Cross-functional collaboration and stakeholder engagement.

  • Curiosity, sound judgment, and a pragmatic understanding of AI capabilities and limitations.

Preferred Experience

  • Exposure to enterprise environments or governed technology-delivery models.

  • Experience with Power BI, Azure Machine Learning, or Microsoft Fabric.

  • Previous involvement in AI, data, software, or automation projects.

  • Completed coursework, certifications, or professional-development programs involving AI modeling, data management, or application development.

Example AI Domains

  • Data Scraping and Modeling: AI-based agents that identify potential turf sales leads using public information.

  • Commercial Intelligence: AI-driven Salesforce insights supporting sales teams.

  • Supply Chain Optimization: Predictive models supporting planning, quality, and logistics.

  • Circular Economy and Sustainability: AI solutions supporting ONE-DNA™ recyclability and traceability.

  • Risk and Regulatory Monitoring: Automated compliance and sustainability reporting.

Growth Path

This position offers a development path toward roles such as:

  • AI Solutions Engineer.

  • AI Platform Engineer.

  • AI Architect.

Success Criteria

  • Demonstrated growth in AI engineering and enterprise IT capabilities.

  • Effective contribution within established governance frameworks.

  • Strong collaboration with business stakeholders and IT teams.

  • Delivery of AI solutions that are adopted and used by the business.

  • Consistent development of reliable documentation and reusable technical components.

Work Environment

This position offers flexible location options based on business and role requirements. The Junior AI Solutions Engineer will collaborate with stakeholders and technical teams across EMEA, the United States, and APAC.

Minimal travel may be required depending on assigned projects and business needs.

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship. TenCate is unable to provide visa sponsorship for this position.

Equal Employment Opportunity

TenCate is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

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