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Junior Ai Machine Learning Python Jobs in Texas (NOW HIRING)

Machine Learning Expertise * Python Proficiency * Data Pipeline Development * Model Evaluation and Validation ATS Optimization Keywords Hard Skills * Machine Learning * Predictive Analytics * Data ...

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$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 ...

... machine learning, and data science solutions. * Proficiency in Python and modern AI/ML libraries and frameworks. * Experience with model evaluation, experimentation, performance measurement, and ...

... machine learning, and data science solutions. * Proficiency in Python and modern AI/ML libraries and frameworks. * Experience with model evaluation, experimentation, performance measurement, and ...

Position Overview The Junior AI Engineer is an early-career builder who develops and ships AI ... Working proficiency in Python or TypeScript, and willingness to become proficient in both. You will ...

Position Overview The Junior AI Engineer is an early-career builder who develops and ships AI ... Working proficiency in Python or TypeScript, and willingness to become proficient in both. You will ...

Junior AI Engineer

San Antonio, TX · On-site

$55K - $126K/yr

As a programmer, you know that machine learning is critical to understanding and processing massive ... Experience in scripting, including with Python, SQL, and API-driven architectures * Knowledge of ...

New

Position Overview The Junior AI Engineer is an early-career builder who develops and ships AI ... Working proficiency in Python or TypeScript, and willingness to become proficient in both. You will ...

In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning ... Strong programming and analytical skills, including experience with Python, SQL, and modern ...

Showing results 21-40

Junior Ai Machine Learning Python information

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 in Texas are hiring for Junior Ai Machine Learning Python jobs?

Cities in Texas with the most Junior Ai Machine Learning Python job openings:

AI Data Scientist - Enterprise AI

Jobtailor

Austin, TX • On-site

$140 - $190/hr

Other

Posted 4 days ago


Job description


  • Design, develop, and deploy AI-powered solutions using LLMs, Generative AI, machine learning, and predictive analytics

  • Develop data pipelines, feature engineering approaches, and analytical workflows

  • Research AI methods, tools, and frameworks for enterprise operations business problems

  • Design and execute experiments evaluating model effectiveness, accuracy, robustness, and operational performance

  • Analyze large-scale structured and semi-structured datasets to generate insights and build predictive models

  • Translate business requirements into technical approaches and communicate AI concepts to technical and non-technical audiences

  • Support AI solution adoption through training, demonstrations, documentation, and stakeholder engagement

  • Collaborate with engineers, data scientists, product owners, business leaders, and technology organizations

  • Contribute to AI best practices, reusable frameworks, and technical standards


Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field

  • 3+ years of experience developing AI, machine learning, and data science solutions

  • Proficiency in Python and modern AI/ML libraries and frameworks

  • Experience with model evaluation, experimentation, performance measurement, and validation methodologies

  • Experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies

  • Ability to collaborate effectively in culturally diverse and distributed teams

  • Preferred: 5+ years of industry experience developing AI, machine learning, and data science solutions

  • Preferred: Experience with Azure, AWS, or GCP

  • Preferred: Version control tools such as GitHub and AI-assisted development tools such as GitHub Copilot

  • Preferred: Experience with RAG, prompt engineering, and AI agents

  • Preferred: Familiarity with MLOps, model monitoring, observability, and enterprise AI governance

  • Preferred: Experience communicating technical concepts to business stakeholders

  • Preferred: Experience working in highly collaborative, matrixed organizations


Core Competencies

Demonstrates expertise in designing and deploying AI-powered solutions, utilizing machine learning, predictive analytics, and data engineering techniques. Proficient in translating complex technical concepts for diverse audiences and fostering collaboration across teams to drive AI solution adoption.


Highest-signal resume keywords

  • AI Solution Development

  • Machine Learning Expertise

  • Python Proficiency

  • Data Pipeline Development

  • Model Evaluation and Validation


ATS Optimization Keywords
Hard Skills

  • Machine Learning

  • Predictive Analytics

  • Data Engineering

  • Feature Engineering

  • Model Evaluation

  • SQL

  • Spark

  • Databricks

  • AI/ML Libraries

  • Experimentation Methodologies


Soft Skills

  • Effective Collaboration

  • Communication Skills


Industry Keywords

  • Artificial Intelligence

  • Data Science

  • Enterprise AI Governance

  • MLOps

  • AI Best Practices


Tools & Technologies

  • Azure

  • AWS

  • GCP

  • GitHub

  • GitHub Copilot

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