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Junior Ai Machine Learning Python Jobs (NOW HIRING)

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to ... D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join ... D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or ...

1910

AI Research Scientist III

Boston, MA

Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews ...

1910

AI Research Scientist III

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... junior AI Researchers with their work • Periodically presenting recent AI research at internal ...

1910

AI Research Scientist III

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... junior AI Researchers with their work • Periodically presenting recent AI research at internal ...

1910

AI Research Scientist III

Boston, MA · On-site

... mentor junior researchers. Responsibilities : • Propose and prototype AI and Machine Learning ... Python code, with examples available in code repositories • Familiarity with MLOps and DevOps ...

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Junior Ai Machine Learning Python information

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$46.5K

$94.5K

$142K

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

As of Jul 30, 2026, the average yearly pay for junior ai machine learning python in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

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 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 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.

More about Junior Ai Machine Learning Python jobs
What cities are hiring for Junior Ai Machine Learning Python jobs? Cities with the most Junior Ai Machine Learning Python job openings:
What states have the most Junior Ai Machine Learning Python jobs? States with the most job openings for Junior Ai Machine Learning Python jobs include:
What job categories do people searching Junior Ai Machine Learning Python jobs look for? The top searched job categories for Junior Ai Machine Learning Python jobs are:
Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

AI/Machine Learning Engineer

BeeGenius

Sunnyvale, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.

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