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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 ...

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 ...

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 ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Mentor junior engineers and guide best practices in ML development Stay current with emerging ML ... Strong programming skills in Python (additional languages are a plus) * Experience working with ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN

$100K - $138K/yr

Mentor junior engineers and guide best practices in ML development Stay current with emerging ML ... Strong programming skills in Python (additional languages are a plus) * Experience working with ...

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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 5 days ago

Job description

Junior AI Solutions Engineer – AI Taskforce
TenCate | Flexible (USA / Global)
Reports to: CIO (via AI Taskforce)
Experience Level: Early career (0–3 years)
Travel: Minimal (role dependent)
About TenCate
TenCate Grass is the global leader in synthetic turf systems, operating a vertically integrated value chain from polymer to recycling. As AI becomes central to how we innovate, optimize operations, and serve customers worldwide, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce. This team drives scalable, governed, and business-aligned AI solutions across our global operations in EMEA, USA, and APAC.
Position Overview
We are seeking a Junior AI Solutions Engineer to join the TenCate AI Taskforce. In this role, you will support the design, development, and deployment of enterprise AI solutions within a governed delivery framework. You will collaborate with business stakeholders, product owners, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.
This is an ideal role for early-career professionals looking to build a strong foundation in enterprise AI engineering, with mentorship, structured processes, and exposure to global operations.
Key Responsibilities
AI Solution Development
  • Support development of AI solutions across commercial, operational, and marketing domains
  • Work within the enterprise AI stack (Claude, Azure, Fabric, Copilot, Power BI)
  • Assist in building models, workflows, and integrations aligned with business needs
AI Lifecycle Execution
  • Support testing, deployment, and optimization of AI solutions
  • Assist with monitoring data quality, model performance, and system reliability
  • Help maintain pipelines, integrations, and reusable components
Governance amp; Compliance (Critical)
  • Operate strictly within the AI Taskforce delivery model
  • Follow architecture, security, and data governance standards
  • Participate in structured intake, validation, and approval processes
Collaboration amp; Stakeholder Engagement (Critical)
  • Work closely with business stakeholders, product owners, and IT governance teams
  • Help translate business requirements into technical solutions
  • Collaborate with senior engineers and cross-functional teams across regions
Adoption, Training amp; Documentation
  • Assist with user onboarding and training for new AI solutions
  • Help create documentation, playbooks, and knowledge materials
  • Gather user feedback and support continuous improvement
Continuous Learning amp; Growth
  • Build hands-on experience in enterprise AI delivery
  • Develop skills in AI engineering, data pipelines, and system integration
  • Contribute to reusable components and internal best practices
Example AI Domains You Will Support
  • Data Scraping and Modeling: AI-based agents for locating potential turf sales leads via public information
  • Commercial Intelligence: AI-driven insights from Salesforce to support sales teams
  • Supply Chain Optimization: Predictive models for planning, quality, and logistics
  • Circular Economy amp; Sustainability: AI supporting ONE-DNA™ recyclability and traceability
  • Risk amp; Regulatory Monitoring: Automated compliance and sustainability reporting
Qualifications
Required
  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
  • 0–3 years of experience (internships included)
  • Foundational knowledge of Python, SQL, and data processing
  • Understanding of APIs and system integration
  • Familiarity with Microsoft ecosystem (Azure, Power Platform, Copilot)
  • Basic understanding of AI/LLM tools (e.g., Claude, Copilot)
  • Awareness of data quality, security, and governance principles
Preferred
  • Exposure to enterprise environments or governed delivery models
  • Experience with Power BI, Azure ML, or Fabric
  • Prior involvement in AI, data, or automation projects
  • Completed coursework, certifications, or professional development programs in usage of AI modeling for data management or application development.
Behavioral Profile
  • Eager to learn and grow within an enterprise environment
  • Structured, disciplined, and detail-oriented
  • Strong team player with excellent communication skills
  • Curious but pragmatic about AI capabilities and limitations
  • Open to coaching, feedback, and continuous improvement
Growth Path
This role provides a clear development trajectory toward:
  • AI Solutions Engineer
  • AI Platform Engineer
  • AI Architect
Success Criteria
  • Demonstrated learning progression in AI and enterprise IT
  • Effective contribution within governance frameworks
  • Strong collaboration across business and IT teams
  • Delivery of AI solutions that are adopted and used by the business
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.
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.

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