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Python Ml Developer Jobs in Iowa (NOW HIRING)

HyVee

QA Automation Engineer I

West Des Moines, IA

Learn and apply ML-based element locator strategies to reduce test brittleness and support self ... Solid Python/JavaScript fundamentals including data structures, functions, object-oriented concepts ...

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Python Ml Developer information

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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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What cities in Iowa are hiring for Python Ml Developer jobs? Cities in Iowa with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Iowa as of July 2026, with employment types broken down into 82% Full Time, 7% Part Time, 1% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
AI Integration Specialist

AI Integration Specialist

Precision of New Hampton

New Hampton, IA

Full-time

Medical, Retirement

Posted 14 days ago

Job description

--Must be legally authorized to work in the United States as a U.S. resident or through a permanent U.S. visa (e.g. Permanent Resident/Green Card.--

--Must Be Near or Relocate to New Hampton, IA--

Precision of New Hampton, an industry leader and a forward-thinking manufacturing company dedicated to enhancing operational efficiency and product quality through innovative technologies. We are seeking an AI Integration Specialist to drive the adoption of artificial intelligence solutions within our manufacturing processes.

The AI Integration Specialist will be responsible for designing, implementing, and managing AI-driven solutions to optimize manufacturing operations. This role involves collaborating with cross-functional teams to identify opportunities for AI integration, developing scalable AI models, and ensuring seamless deployment into existing systems. The ideal candidate is a proactive problem-solver with expertise in AI, machine learning, and manufacturing processes.

Key Responsibilities

  • Opportunity Identification: Analyze current manufacturing processes to identify areas where AI can improve efficiency, quality, or cost-effectiveness.
  • Solution Development: Design and develop AI models, including machine learning algorithms, predictive analytics, and computer vision systems, tailored to manufacturing needs.
  • Integration: Collaborate with engineering and IT teams to integrate AI solutions into existing manufacturing systems, such as automation tools, IoT devices, and ERP platforms.
  • Data Management: Collect, preprocess, and manage large datasets from manufacturing equipment and sensors to support AI model training.
  • Testing and Validation: Conduct rigorous testing to ensure AI solutions are reliable, accurate, and compatible with production environments.
  • Training and Support: Train staff on AI tools and provide ongoing support to ensure successful adoption and utilization.
  • Performance Monitoring: Monitor and optimize AI systems to maintain high performance and adapt to changing manufacturing requirements.
  • Compliance and Safety: Ensure AI implementations comply with industry regulations and safety standards.

Qualifications

  • Experience:
    • 3+ years of experience in AI or machine learning development.
    • 2+ years of experience in manufacturing or industrial environments.
    • Proven track record of integrating AI solutions into operational systems.
  • Technical Skills:
    • Proficiency in programming languages such as Python, R, or C++.
    • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
    • Knowledge of manufacturing systems (e.g., SCADA, MES, PLCs).
    • Familiarity with IoT, robotics, or computer vision applications.
    • Strong understanding of data analytics and database management.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and collaboration abilities.
    • Ability to work in a fast-paced, dynamic environment.
  • Preferred Certifications: AI/ML certifications (e.g., Google Professional Machine Learning Engineer, AWS Certified Machine Learning).

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health
  • 401(k) with company provided 6% annually
  • Professional development opportunities.

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