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Python Ml Developer Jobs in Burbank, IL (NOW HIRING)

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

... ML workflows. * Excellent engineering fundamentals: Python, SQL, bash, Git. * Experience with big ... data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm.

VOLT

AI Technical Architect

Chicago, IL · On-site

$68.25 - $82.50/hr

We're seeking a senior AI/ML Engineer with minimum 9-10 yrs experience who can serve as a Technical ... Strong programming skills in languages such as Python, SQL/NoSQL etc. * Build analytical approach ...

Adidev Technologies Inc

AI/ML

Chicago, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Adidev Technologies Inc

AI/ML

Des Plaines, IL · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks

Pwc

GenAI Python Systems Engineer-Manager

Chicago, IL

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Adidev Technologies Inc

AI/ML

Des Plaines, IL · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks

Adidev Technologies Inc

AI/ML

Chicago, IL · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks

Pwc

GenAI Python Systems Engineer-Manager

Rosemont, IL

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Burbank, IL

Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python ml developer in Burbank, IL is $59.87, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $67.98 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 cities near Burbank, IL are hiring for Python Ml Developer jobs? Cities near Burbank, IL with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Burbank, IL as of July 2026, with employment types broken down into 80% Full Time, 9% Part Time, 1% Temporary, 9% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $124,521 per year, or $59.9 per hour.
Senior Manager of Data, AI Engineering

Senior Manager of Data, AI Engineering

Syndigo

Chicago, IL • Hybrid

Other

Posted 21 days ago

Job description

**This is a hybrid position that requires 2 days per week in the office at our Chicago location**

We're looking for a results-driven Senior Manager of Data, AI Engineering to build, scale, and lead high-performing teams delivering production-grade AI systems. This role sits at the intersection of engineering, data science, and product - owning the end-to-end lifecycle from concept through deployment, monitoring, and continuous optimization.

You'll play a critical role in shaping our AI strategy, translating business needs into scalable solutions, and driving execution discipline across complex, enterprise-grade systems.

HOW WE'LL BE WINNING TOGETHER DAY TO DAY

  • Lead and scale AI/ML engineering teams delivering production-ready systems (not just prototypes)
  • Drive end-to-end ownership of ML lifecycle: data pipelines, model development, deployment, observability, and iteration
  • Partner cross-functionally with Product, Data Science, Architecture, and Engineering to align priorities and execution
  • Translate business requirements into AI/ML solutions, technical roadmaps, and delivery plans
  • Establish and improve engineering execution standards (planning, estimation, delivery, quality)
  • Ensure scalability, reliability, and cost efficiency of AI/ML systems in production
  • Build and evolve MLOps practices, including monitoring, model health, and performance optimization
  • Use data and metrics to drive decision-making, prioritization, and continuous improvement
  • Coach, mentor, and develop engineering talent while raising the overall performance bar
  • Communicate complex AI concepts clearly to executive stakeholders

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

  • 8-12+ years in software engineering, with 4-6+ years in AI/ML or data platforms
  • 2-4+ years managing and developing engineering teams
  • Proven experience leading teams delivering production-grade AI/ML systems
  • Strong experience with:
  • ML pipelines, model deployment, and MLOps
  • Modern AI stack (Python, Databricks, cloud platforms, APIs, LLM/GenAI frameworks)
  • Enterprise-scale data systems and architectures
  • Experience driving end-to-end delivery from concept to production and ongoing optimization
  • Track record of improving engineering execution and delivery predictability
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
  • Experience in enterprise SaaS, data, or AI-driven organizations
  • Background in high-growth or transformation environments preferred

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