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Junior Ai Machine Learning Python Jobs in Prosper, TX

Amazech Solutions

Junior AI Engineer

Plano, TX · On-site

We are seeking a Junior AI Engineer to work out of Plano, TX Requirements * Bachelor''s degree in ... Strong Python and SQL skills. * Familiarity with LLMs, RAG, Prompt Engineering, and ML fundamentals.

CBRE

Senior AI Engineer - Talent Community

Richardson, TX

$94K - $130K/yr

Mentor junior AI/ML engineers, providing technical guidance and fostering a culture of continuous ... Conduct research and stay current with advancements in AI, machine learning, deep learning, and ...

Compunnel

Machine Learning Engineer

Plano, TX

The ideal candidate will possess hands-on experience with Azure Databricks, Python-based model ... Experience supporting enterprise-scale analytics, data science, and AI initiatives. * Experience ...

Clevanoo LLC

Be Seen First

Machine Learning Engineer

Dallas, TX · Remote

AI/MLOps Engineer LOCATION: Remote (TX) DURATION: Contract POSITION SUMMARY: Client transforms ... like Python, Java, or Scala Proficiency in machine learning libraries and frameworks, such as ...

Yantran LLC

Python AI ML Engineer

Plano, TX · On-site

Implement machine learning algorithms and models to solve complex business problems. Conduct code ... junior developers, fostering a culture of continuous improvement. Stay updated with the latest ...

Carmax

Sr. Engineer, AI & ML

Dallas, TX

$103K - $142K/yr

... AI system. As a member of the GenAI team , you will have a direct impact on improving the ... Familiarity with MLOps and industry-standard machine-learning Python libraries * Enthusiastic about ...

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Junior Ai Machine Learning Python information

See Prosper, TX salary details

$42.6K

$86.6K

$130K

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

As of Jun 23, 2026, the average yearly pay for junior ai machine learning python in Prosper, TX is $86,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $87,500.00 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.

What job categories do people searching Junior Ai Machine Learning Python jobs in Prosper, TX look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Junior Ai Machine Learning Python jobs? Cities near Prosper, TX with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

AI / Machine Learning Engineer (Python)

Prophecy Technologies

Plano, TX

Full-time

Posted 25 days ago

Job description

Job Summary
We are looking for a Senior AI / Machine Learning Engineer with strong expertise in Python and end-to-end AI solution development. The role involves designing, building, deploying, and optimizing machine learning and deep learning models while contributing to scalable, secure, and high-performance application architectures.
Key Responsibilities
  • Develop, train, optimize, and evaluate machine learning and deep learning models for business use cases
  • Build and deploy end-to-end AI solutions including data ingestion, model development, testing, and production integration
  • Design, develop, and maintain high-performance Python applications and services
  • Ensure scalability, reliability, and security of AI applications
  • Build and integrate RESTful APIs and third-party services
  • Automate workflows, data processing, and reporting using Python
  • Troubleshoot complex application and database issues and implement long-term solutions
  • Contribute to system architecture decisions and technology roadmaps
  • Lead code reviews, enforce best practices, and mentor junior engineers
  • Collaborate with product owners, data analysts, and stakeholders to translate business requirements into technical solutions

Required Skills & Experience
  • Strong hands-on experience with Python for application and AI development
  • Experience developing and deploying machine learning and deep learning models
  • Knowledge of end-to-end AI/ML pipelines including data ingestion, training, evaluation, and deployment
  • Strong understanding of RESTful API design and integration
  • Experience with scalable application architectures and cloud-native services
  • Strong debugging and troubleshooting skills across application and database layers

Competencies
  • Strong analytical and problem-solving skills
  • Ability to translate business problems into technical solutions
  • Leadership and mentoring capabilities
  • Excellent communication and collaboration skills
  • Ownership mindset and attention to code quality and performance

Preferred Skills
  • Experience with cloud platforms and MLOps practices
  • Exposure to system design and architecture planning
  • Familiarity with automation frameworks and CI/CD pipelines
  • Experience working in Agile development environments

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