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Junior Ai Machine Learning Python Jobs in Florida

Document solutions and provide technical guidance to stakeholders Qualifications: * 2-5+ years experience in AI, machine learning, or data science roles * Strong programming skills in Python, R, or ...

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Contract Job Summary We are seeking an experienced Python AI/ML Engineer to design, develop, and implement machine learning solutions for AI and automation initiatives. The ideal candidate will have ...

Strong engineering skills, including Python, CUDA, C++. * Experience building distributed deep ... machine learning and AI to power our analytics and tackle the market's and our clients' most ...

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Junior Ai Machine Learning Python information

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.

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Posted 16 days ago


Job description

AI / ML Engineer

We partner with companies pushing the boundaries of technology - and we're looking for AI / ML Engineers who are passionate about building intelligent systems that solve real-world problems. If you love working with data, designing machine learning models, and turning complex algorithms into scalable solutions - we want to hear from you.

Responsibilities:

  • Design, develop, and deploy machine learning models and AI solutions
  • Work with large datasets to build, train, and optimize algorithms
  • Collaborate with data scientists, engineers, and product teams to integrate AI into products
  • Monitor and improve model performance, accuracy, and scalability
  • Stay up-to-date with the latest AI/ML research, tools, and frameworks
  • Document solutions and provide technical guidance to stakeholders

Qualifications:

  • 2–5+ years experience in AI, machine learning, or data science roles
  • Strong programming skills in Python, R, or similar languages
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Familiarity with data processing tools like SQL, Spark, or Hadoop
  • Understanding of model deployment techniques and cloud platforms (AWS, GCP, Azure)
  • Ability to translate complex problems into practical AI solutions
  • Bonus: Advanced degree in Computer Science, Data Science, or related fields