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Python Ml Developer Jobs in Glendale, CA (NOW HIRING)

3ds

AI/ML Developer

Long Beach, CA · On-site

$140K - $160K/yr

... python and experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit ... prompt engineering, prompt optimization, model evaluation, and AI agent design patterns • ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

The ideal candidate will bring deep expertise in Python, cloud-based AI deployment (Azure), and ... of DevOps experience , including CI/CD pipelines * 7+ years of MongoDB or similar database ...

Programmers.io

Lead AI/ML Engineer

Torrance, CA · On-site

$105K - $138K/yr

Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience with Infrastructure ... Demonstrated ability to review, refactor, and improve developer code Strong knowledge of:

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

The ideal candidate will bring deep expertise in Python, cloud-based AI deployment (Azure), and ... of DevOps experience , including CI/CD pipelines * 7+ years of MongoDB or similar database ...

Staffingine LLC

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

AI/ML engineer Job Location: Los Angeles, CA Job Type: Contract * 6 8 years of Handson experience ... Extensive experience in Python programming languages along with popular frameworks such as Flask ...

Circadia Health

ML Ops Engineer

El Segundo, CA · On-site

... DevOps, or a closely related infrastructure role. * Strong proficiency in Python for ML pipeline development, tooling, and automation. * Hands-on experience with ML pipeline orchestration tools ...

Circadia Health

ML Ops Engineer

El Segundo, CA

... DevOps, or a closely related infrastructure role. * Strong proficiency in Python for ML pipeline development, tooling, and automation. * Hands-on experience with ML pipeline orchestration tools ...

Circadia Health

ML Ops Engineer

El Segundo, CA · On-site

... DevOps, or a closely related infrastructure role. * Strong proficiency in Python for ML pipeline development, tooling, and automation. * Hands-on experience with ML pipeline orchestration tools ...

Staffingine LLC

AI/ML Engineer

Los Angeles, CA · On-site

AI/ML Engineer Job Location: Los Angeles - California - USA Job Type: Contract * 3-5 years of ... Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience ...

CreatorIQ, Inc

ML Engineer

Los Angeles, CA · On-site

$132K - $165K/yr

Machine Learning Engineer, Applied AI As a MLE you'll join our Product Innovations team and work ... Strong Python; comfort with the modern data/ML stack * Hands-on experience deploying and monitoring ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Glendale, CA

Python Ml Developer information

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$14

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How much do python ml developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python ml developer in Glendale, CA is $62.09, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $70.53 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 Glendale, CA? For Python Ml Developer jobs in Glendale, CA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Glendale, CA look for? The top searched job categories for Python Ml Developer jobs in Glendale, CA are:
What cities near Glendale, CA are hiring for Python Ml Developer jobs? Cities near Glendale, CA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Glendale, CA as of July 2026, with employment types broken down into 81% Full Time, 8% Part Time, 1% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $129,141 per year, or $62.1 per hour.
AI ML Engineer

AI ML Engineer

Tata Consultancy Services

Los Angeles, CA • On-site

Full-time

Re-posted yesterday

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 210 rated it services

Job description

Job Summary:
Tata Consultancy Services is seeking an AI ML Engineer who will design, build, and deploy production-grade Machine Learning and Generative AI solutions. The role requires strong Python expertise and practical experience in taking ML and GenAI use cases from development to deployment, focusing on LLM-based applications and document processing pipelines.
Responsibilities:
• Design and implement AI/ML solutions using Python and modern ML frameworks
• Develop and optimize Prompt Engineering strategies for LLM-based systems
• Build and deploy Retrieval-Augmented Generation (RAG) pipelines
• Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications
• Develop and orchestrate Agentic AI workflows with tool/function calling
• Implement vector search solutions using Vector Databases
• Ensure CI/CD integration and cloud deployment (Azure preferred)
• Establish observability, monitoring, and evaluation frameworks for AI systems
• Collaborate with cross-functional teams to deliver production-ready AI features
Qualifications:
Required:
• Python (Expert level)
• Machine Learning & Model Training
• Training, evaluation, fine tuning
• Tagging and labeling workflows
• Generative AI & LLMs
• Prompt engineering for LLM-based applications
• Document Processing
• Document extraction, parsing, and chunking
• Handling structured & unstructured data
• Embeddings & Vector Search
• Embedding generation
• Vector database integration
• Databases
• Vector Databases
• MongoDB
• Production-grade ML Engineering
• Scalable, production-ready ML/GenAI solutions
• BACHELOR OF COMPUTER SCIENCE
Preferred:
• Azure OpenAI preferred
• Azure preferred
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

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Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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