ZipRecruiter

Log In

1

Python Ml Developer Jobs in Germantown, MD (NOW HIRING)

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems. * Strong Python proficiency and ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer Location: Reston VA - In person interviews so need Local In EAST coast only​ Core ... Develop high-performance Python microservices (FastAPI/Flask) enabling scalable data pipelines ...

SES

Python AI Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and ... programming skills in Python, SQL and experience with AWS. Priority Order of Skills is AWS, Gen AI ...

Quevera LLC

Python API Developer - SWE1

Annapolis Junction, MD · On-site

$51.25 - $70.75/hr

Quevera has exciting opportunities for Python API Developers to support the design and delivery of ... In this role you will build scalable and secure APIs, integrate AI/ML capabilities, and deploy ...

SES

Python Gen AI Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and ... programming skills in Python, SQL and experience with AWS. Priority Order of Skills is AWS, Gen AI ...

Apex Systems

ML Engineer

Mclean, VA · On-site

$70 - $75/hr

Strong proficiency in Python * Deep expertise with AWS services, including ECS, EC2, EKS, S3, and ... ML Pipeline Orchestration * CI/CD Automation * Model Monitoring & Governance Programming & Data ...

New

next page

Showing results 1-20

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Germantown, MD

Python Ml Developer information

See Germantown, MD salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python ml developer in Germantown, MD is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.31 per hour, depending on experience, location, and employer.

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.
What are popular job titles related to Python Ml Developer jobs in Germantown, MD? For Python Ml Developer jobs in Germantown, MD, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Germantown, MD look for? The top searched job categories for Python Ml Developer jobs in Germantown, MD are:
What cities near Germantown, MD are hiring for Python Ml Developer jobs? Cities near Germantown, MD with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
AI Developer/ AI Engineer (Python Development background)

AI Developer/ AI Engineer (Python Development background)

Sage IT Inc

Reston, VA • On-site

$52.25 - $72/hr

Other

Posted 5 days ago

Job description

Job Title: AI Developer with Python

Location: Reston, VA(Onsite)

Job Description

We are seeking a highly skilled AI Developer with a strong Python development background to design, develop, and deploy AI/ML-based applications and solutions. The ideal candidate should have hands-on experience in Python programming, machine learning frameworks, API integrations, and cloud technologies, along with a passion for building scalable AI-driven systems.

Key Responsibilities:

  • Design, develop, and implement AI/ML solutions using Python.
  • Build and optimize machine learning and deep learning models.
  • Develop scalable backend services and APIs for AI applications.
  • Work with structured and unstructured data for model training and analysis.
  • Integrate AI models with enterprise applications and cloud platforms.
  • Collaborate with cross-functional teams including Data Engineers, DevOps, and Business stakeholders.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Monitor, troubleshoot, and improve model performance in production environments.
  • Implement automation workflows and AI-powered tools.
  • Maintain code quality, documentation, and best development practices.

Required Skills:

  • Strong experience in Python development.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or Hugging Face.
  • Knowledge of Generative AI, LLMs, NLP, or Computer Vision concepts.
  • Experience with REST APIs, FastAPI, Flask, or Django.
  • Hands-on experience with data processing libraries like Pandas, NumPy, and PySpark.
  • Familiarity with vector databases, embeddings, and RAG architecture is a plus.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
  • Understanding of SQL/NoSQL databases.
  • Strong problem-solving and analytical skills.

Apply