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Junior Ai Machine Learning Python Jobs in Louisiana

Varsity Tutors

Machine Learning Tutor

New Orleans, LA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Baton Rouge, LA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Autodesk

$86K - $119K/yr

... AI, search, multi-agent solutions, and intelligent automation on Autodesk's customer platforms. You ... Proficiency with the Python machine learning stack, including tools such as Pandas, NumPy, and ...

Indeed

Machine Learning Engineer

Baton Rouge, LA · On-site

Responsibilities * Build AI/ML systems for search, ranking, and recommendations * Develop LLM ... Experience building ML models in Python; solid software engineering and algorithms fundamentals

Bespoke Labs

Machine Learning Engineer

Baton Rouge, LA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bespoke Labs

Machine Learning Engineer

Shreveport, LA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bespoke Labs

Machine Learning Engineer

Kenner, LA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bespoke Labs

Machine Learning Engineer

New Orleans, LA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

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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.

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

Technical Product Owner- AI & Machine Learning

Strategic Staffing Solutions

Baton Rouge, LA • Hybrid

$65/hr

Other

Posted 21 days ago

Job description

Job Description Technical Product Owner - AI & Machine Learning (Contract) Location;: Baton Rouge, LA (Hybrid- 3 days per week) Duration: 6 Months Pay Rate: $65/hr Job Overview: We are seeking a Technical Product Owner to support the delivery of Artificial Intelligence (AI) and Machine Learning (ML) initiatives. This role will work closely with Data Science, Engineering, and Business teams to translate requirements into actionable work, manage product backlogs, and facilitate Agile delivery processes. The ideal candidate has experience working in Agile environments, managing Azure DevOps backlogs, and supporting the successful delivery of data-driven or AI-enabled solutions.

Key Responsibilities Support the delivery of AI and Machine Learning initiatives within established project timelines and objectives. Partner with the Data Science Manager to evaluate, organize, and prepare incoming business requests for technical refinement. Translate business and technical requirements into user stories, acceptance criteria, and prioritized backlog items.

Facilitate Agile ceremonies including sprint planning, backlog refinement, sprint reviews, and related delivery activities. Maintain Azure DevOps (ADO) Boards, ensuring backlog health, sprint tracking, velocity reporting, and delivery metrics remain current. Collaborate with Engineering, Data Science, Project Management, and Portfolio teams to coordinate priorities, timelines, and dependencies.

Clarify requirements and remove delivery roadblocks by working closely with technical teams and stakeholders. Monitor project progress, risks, and dependencies, escalating issues as needed. Maintain project documentation, status reporting, and delivery artifacts.

Recommend improvements to Agile processes, backlog management, and delivery workflows. Required Qualifications Experience as a Product Owner, Technical Product Owner, Product Analyst, Business Analyst, or similar delivery-focused role. Experience supporting Agile, Scrum, SAFe, or other iterative delivery methodologies.

Hands-on experience with Azure DevOps (ADO), including backlog management and sprint planning. Experience supporting Program Increment (PI) Planning, release planning, or multi-sprint delivery initiatives. Experience creating user stories, acceptance criteria, and managing product backlogs.

Understanding of Artificial Intelligence, Machine Learning concepts, and model lifecycle management. Knowledge of cloud platforms, data engineering concepts, and modern data ecosystems. Strong communication, stakeholder management, and organizational skills.

Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications Experience supporting Data Science, Analytics, or Machine Learning teams. Familiarity with MLOps concepts and AI product delivery frameworks.

Experience working within enterprise-scale Agile environments. Knowledge of Azure cloud technologies and data platforms. Success Metrics High-quality backlog management and user story development.

Consistent sprint execution and delivery predictability. Accurate project tracking, reporting, and dependency management. Effective collaboration across business and technical teams.

Timely delivery of project objectives and milestones.

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