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Junior Ai Machine Learning Python Jobs in La Puente, CA

... • Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch ... Hadrian builds AI-powered automated factories that manufacture precision parts for defense ...

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

We're excited about the work we are doing in AI. Founded on our many years of experience and ... Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow * Experience with RF ...

Requirements * Strong experience with Python, Machine Learning, and Predictive Modeling ... LLMs and AI Agents * Data Warehousing & ETL Systems Join us as we build the intelligence layer ...

Machine Learning Engineer

Torrance, CA · On-site

$160K - $300K/yr

By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and ... Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow ...

... AI). Our tight knit hardware and software team is comprised of experts in product and UX ... Proficiency in Python and PyTorch (or similar frameworks) * Solid understanding of signal ...

AI Architect

Los Angeles, CA · On-site

$200 - $250/hr

AI Architecture Define and evolve reference architectures for AI, machine learning, and generative ... Strong programming skills in Python and experience building data and AI pipelines. * Experience ...

AI/ML Developer

Long Beach, CA · On-site

$140K - $160K/yr

... python and experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit ... AI agent design patterns • Familiarity with AI orchestration frameworks such as LangChain ...

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Junior Ai Machine Learning Python information

See La Puente, CA salary details

$46.9K

$95.4K

$143.3K

How much do junior ai machine learning python jobs pay per year?

As of Sep 8, 2026, the average yearly pay for junior ai machine learning python in La Puente, CA is $95,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $96,400.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What cities near La Puente, CA are hiring for Junior Ai Machine Learning Python jobs?

Cities near La Puente, CA with the most Junior Ai Machine Learning Python job openings:

Machine Learning Engineer

Ascent Developer Solutions

Los Angeles, CA • On-site

Full-time

Re-posted 6 days ago


Job description

ROLE SUMMARY 

The Machine Learning Engineer is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities. 

ESSENTIAL DUTIES 

Data and analysis 

  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities. 
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment. 
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities. 
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights. 
  • Assist in fostering a culture of test & learn within the company. 

Leadership  

  • Serve as analytics consultant to a broad variety of line-of-business teams. 
  • Partner with technology teams on product changes and impacts on data/performance. 
  • Mentor junior analysts on various data science techniques. 

 QUALIFICATIONS 

  • Bachelor's degree in quantitative field. 
  • 5-7 years of experience in analytical or consulting roles. 
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's. 
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments. 
  • Must have deployed several models to production. 
  • Exposure to data engineering skills. 
  • Strong communication and partnership skills, effective cross-department collaboration skills. 
  • Self-starter who can work under limited supervision. 
  • Mentoring skills to help develop junior analysts. 

WORK ENVIRONMENT 

  • This role works on-site from Ascent's Encino office 2 days per week 

THE PAY 

Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year.