ZipRecruiter

Log In

1

Junior Ai Machine Learning Python Jobs in North Carolina

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer. The role involves deploying ... Python Preferred : • MLOps/CI/CD • Responsible AI • Multi-step reasoning agents • Low ...

E-Solutions, Inc.

AWS Data Scientist

Charlotte, NC · On-site

Design and implement end to end machine learning ML pipelines using services such as Amazon ... EEO/AA/M/F/Vet/Disability. | AWS Data Scientist 1Machine Learning,Python,AWS,lambda,AI,Amazon ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

AI & Machine Learning • Assist in building and monitoring AI models using SAS Viya and other ... with Python, R, SQL, or other data programming languages. • Understanding of ethical AI, data ...

Tror AI for everyone

Gen AI ML Engineer

Charlotte, NC · On-site

Gen AI ML Engineer Location :Charlotte, NC Hire type : Contract Qualifications • Bachelor ... Python, and experience with machine learning development, deployment, frameworks (like TensorFlow ...

next page

Showing results 1-20

All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in North Carolina

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.

What are popular job titles related to Junior Ai Machine Learning Python jobs in North Carolina? For Junior Ai Machine Learning Python jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in North Carolina look for? The top searched job categories for Junior Ai Machine Learning Python jobs in North Carolina are:
What cities in North Carolina are hiring for Junior Ai Machine Learning Python jobs? Cities in North Carolina with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower

Wilmington, NC • On-site, Remote

Contractor

Posted 5 days ago

Job description

Hello,
I hope this message finds you well.
I'm reaching out to share an exciting opportunity that I believe aligns with your experience and expertise in the field for my client. If you are interested, I'd love to connect and share more details.
GenAI Engineer
100% Remote
**NO H1B Candidates** REST ALL CAN APPLY **
Only W2 Candidates
Experience - 10+ Years
Job description:-
Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,
AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch.
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim.
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.
Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.
Best regards,

Apply