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Python Ml Developer Jobs in Tennessee (NOW HIRING)

MDAEdge

.Net Software Engineering Manager

Nashville, TN · On-site

... Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing); 5+ years managing engineering ... Preferred : • 3+ years with AI/ML and GenAI preferred. • AI/ML (preferred) Company : The world ...

campus4tech

Engineering Manager

Hermitage, TN · On-site

Angular, React * Backend: Node.js, Python, C#, .NET Core, Golang * Experience with SQL & NoSQL ... AI/ML or GenAI What We're Looking For * Strong technical leader who is hands-on and delivery ...

HireRight

Senior Software Engineer (Java)

Nashville, TN · On-site

$120.70K - $158.80K/yr

Overview We are seeking an experienced Senior Java & Python Developer with expertise to join our ... Exposure to ML/AI libraries (scikit-learn, TensorFlow, PyTorch) and workflows (integrating ML ...

HireRight

Senior Software Engineer (Java)

Nashville, TN

$120.70K - $158.80K/yr

We are seeking an experienced Senior Java & Python Developer with expertise to join our growing ... Exposure to ML/AI libraries (scikit-learn, TensorFlow, PyTorch) and workflows (integrating ML ...

HireRight

Senior Software Engineer (Java)

Nashville, TN

$120.70K - $158.80K/yr

Overview We are seeking an experienced Senior Java & Python Developer with expertise to join our ... Exposure to ML/AI libraries (scikit-learn, TensorFlow, PyTorch) and workflows (integrating ML ...

Xsolis

Senior Cloud Security Engineer

Franklin, TN · On-site +1

$110.40K - $151.40K/yr

Define and enforce security controls for AI/ML and GenAI applications * Partner with Data Science ... Familiarity with programming languages (Python, Java, Node.js, C#) * Integrate and optimize ...

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Python Ml Developer information

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Tennessee? For Python Ml Developer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Tennessee look for? The top searched job categories for Python Ml Developer jobs in Tennessee are:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Tennessee as of May 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 2% Contract, and 2% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

.Net Software Engineering Manager

MDAEdge

Nashville, TN • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
MDAEdge is a company seeking a .Net Software Engineering Manager to lead teams in delivering high-quality software solutions. The role involves providing technical leadership, collaborating with cross-functional teams, and ensuring the team's accountability for customer and business outcomes.
Responsibilities:
• Drive accountability for customer and business outcomes by leading teams to solve complex problems with lean, high-quality designs.
• Provide technical leadership, advocating for evolutionary releases like alpha, beta, and MVP while ensuring code integrity, quality, architecture, and alignment with goals.
• Stay hands-on with design, code, reviews, optimizations, and standards to boost team velocity, resolve blockers, address technical debt, and maintain comprehensive quality.
• Learn and experiment with new technologies, mentoring engineers to apply them effectively.
• Develop lean solutions via rapid experimentation, engaging customers and product teams for timely delivery.
• Favor iterative, evidence-based delivery over extensive planning to handle complexity with supportable solutions.
• Collaborate with cross-functional teams (product, experience, delivery, infrastructure, security) to balance feasibility, viability, usability, and value.
• Apply expertise in Agile, DevSecOps, CI/CD, Blue-Green/Canary deployments, and A/B testing to optimize delivery with minimal waste.
• Acquire domain knowledge quickly, translating business needs into engineering plans like sprints and tasks.
• Communicate complex technical concepts clearly, influencing stakeholders with evidence-based arguments.
• Build relationships across levels, fostering co-creation and consensus for feasible solutions.
Qualifications:
Required:
• Bachelor's degree in computer science, software engineering, or related field; advanced degree preferred but experience is key.
• 10+ years in programming (Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing); 5+ years managing engineering teams from inception to delivery.
• 5+ years hands-on with cloud-native engineering (FaaS/PaaS/microservices on Azure).
• Deep knowledge of XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube for rapid, high-quality delivery.
• Strong foundation in software architecture/design (BCD, sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation).
• Excellent interpersonal and organizational skills to manage diverse situations, projects, and priorities with passion, empathy, and care.
• Technical leadership and mentorship.
• Cross-functional collaboration.
• Customer-centric problem-solving.
• Iterative delivery mindset.
• Effective communication and influence.
• Domain knowledge acquisition.
• Agile/DevSecOps/SRE methodologies.
• Angular.
• React.
• Node.js.
• Python.
• Streamlit.
• C#.
• .NET Core.
• Golang.
• SQL.
• NoSQL.
• CI/CD.
• DevSecOps.
Preferred:
• 3+ years with AI/ML and GenAI preferred.
• AI/ML (preferred)
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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