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Ai Ml Python Developer Jobs in Alabama (NOW HIRING)

AI / ML Engineer

Huntsville, AL · On-site

$85K - $199K/hr

... Digital Engineering teams in Huntsville, Alabama design, build, and integrate emerging AI/ML ... Proficiency in Python and at least one additional language (Java, C++). * Strong understanding of ...

AI / ML Engineer

Huntsville, AL · On-site

$100 - $125/hr

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML ... Proficiency in Python and at least one additional language (Java, C++). * Strong understanding of ...

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML ... Proficiency in Python and at least one additional language (Java, C++). * Strong understanding of ...

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML ... Proficiency in Python and at least one additional language (Java, C++). * Strong understanding of ...

... ML technologies. The ideal candidate should have strong Python programming skills and hands-on experience building production-ready AI applications. Key Responsibilities * Design and develop ...

Python Developer

Birmingham, AL · On-site

$47 - $65/hr

We are seeking a Python Developer to support and improve IT Service Management processes through ... Microsoft Copilot and other AI-assisted tools to improve development, documentation ...

Senior AI/ML Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Senior AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence ... Python, ML framework, training/inference pipelines, distributed processing, scalable ML, and ...

Senior AI/ML Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Senior AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence ... Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed ...

Senior AI/ML Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Senior AI/ML Engineer Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence ... Strong knowledge/background in Python, ML framework, training/inference pipelines, distributed ...

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Ai Ml Python Developer information

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

AspectAi Ml Python DeveloperData Scientist
Required SkillsPython, Machine Learning, AI frameworks, coding, deploymentPython, Statistics, Data Analysis, Machine Learning, Visualization
Work EnvironmentDevelopment, coding, model deployment in tech teamsData analysis, research, reporting in various industries
Common Industry UsageAI product development, automation, machine learning solutionsData analysis, business insights, predictive modeling

While both roles involve Python and machine learning, Ai Ml Python Developers focus on building and deploying AI models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ mainly in their primary focus: development versus analysis.

What cities in Alabama are hiring for Ai Ml Python Developer jobs?

Cities in Alabama with the most Ai Ml Python Developer job openings:

AI / ML Engineer

Huntsville, AL • On-site

Deploy
Marketing • 1 - 10 employees

$85K - $199K/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

DEPLOY's Client's Cyber Works and Digital Engineering teams in Huntsville, Alabama design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms.
This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.


Core Responsibilities:

  • Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.
  • Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.
  • Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.
  • Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).
  • Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.
  • Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.
  • Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.

Minimum Requirements:

  • Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).
  • Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in Python and at least one additional language (Java, C++).
  • Strong understanding of data structures, data modeling, and software architecture.

Highlighted Skills & Experience:

  • Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.
  • Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.
  • AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.
  • Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.
  • Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).
  • Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).
  • Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.
  • Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.

Why This Role Matters:
You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.

About DEPLOY's Client

For the past 43 years, DEPLOY's client has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DEPLOY"s client provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.

Why employees love working for DEPLOY's client

DEPLOY"s client is committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:

  • Competitive health, dental and vision insurance with affordable premiums
  • Flexible work schedules
  • Two different flexible spending account options
  • Company paid life insurance with options for employee paid additional
  • Performance bonus program
  • Education reimbursement program
  • Company paid personal leave for approved philanthropic activities
  • Vacation, Sick & Holiday leave
  • Robust 401k profit sharing plan
  • Opportunities for internal promotions
  • Employee referral incentive program
  • Rewards and gifts for service anniversaries

Disability Accommodation for Applicants - DEPLOY's client is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures.