1

Junior Ai Machine Learning Python Jobs in Woodmere, NY

Goodfire is a research company focused on building safe and powerful AI systems through ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

Job Summary : Goodfire is a research company focused on understanding and designing AI systems ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

... g., Python, R, C, C++) • 1+ year of experience using statistics and probability (e.g ... enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model ...

... for machine learning (e.g., Python, R, C, C++)1 + year of experience using statistics and ... Assists in the development of optimized software to enable AI models deployed on hardware (e.g ...

New

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets * Use SQL for large-scale data ...

AI Engineer

Jersey City, NJ · On-site

$95 - $135/hr

Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or ... Proficiency in Python, Java, or Go. * Translating user experience design into code using Angular ...

About Tonic.ai Tonic.ai builds the data infrastructure behind modern AI. Our products de-identify real enterprise data for safe use in training and evaluation, and generate synthetic environments ...

Showing results 41-60

Junior Ai Machine Learning Python information

See Woodmere, NY salary details

$48.8K

$99.3K

$149.1K

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

As of Aug 20, 2026, the average yearly pay for junior ai machine learning python in Woodmere, NY is $99,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $100,300.00 per year, depending on experience, location, and employer.

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 near Woodmere, NY are hiring for Junior Ai Machine Learning Python jobs?

Cities near Woodmere, NY with the most Junior Ai Machine Learning Python job openings:

AI/Machine Learning Labor Workforce Planning/HR Specialist

Network Temp Inc

New York, NY • On-site

$75 - $90/hr

Full-time

Re-posted 3 days ago


Job description

Description

Job Title: AI/Machine Learning Labor Workforce Planning/HR Specialist


Job Description:

We are seeking a highly skilled AI/Machine Learning Labor Workforce Planning Specialist to join our team. This role will focus on aligning workforce planning and capacity modeling with future organizational needs in the field of artificial intelligence and machine learning. The ideal candidate will have a strong background in AI and data science, along with experience in developing job descriptions and career pathways.


Key Responsibilities:

- Conduct workforce planning and capacity modeling for AI/ML roles to align with future organizational needs.

- Design standardized job families and role levels specifically for AI and data science positions.

- Define core and technical competencies for each AI-related job classification.

- Develop comprehensive job descriptions and career pathways that promote internal growth and development.

- Benchmark comparable roles across public sector healthcare and government/tech sectors to inform compensation and titling strategies.

- Develop and deliver recommendations for a sustainable talent architecture that aligns with the NYC H+H strategy.

- Recommend a scalable framework for talent management in AI and data science.

- Collaborate with technical leadership, including the Senior Director of AI & Engineering, to ensure alignment with organizational goals.


Skills and Qualifications:

- Strong understanding of artificial intelligence and machine learning concepts.

- Experience in workforce planning and capacity modeling.

- Proven ability to design job families and role levels in technical fields.

- Excellent analytical and benchmarking skills.

- Strong communication and collaboration skills.

- Ability to develop clear and concise job descriptions and career pathways.

- Familiarity with public sector healthcare and government/tech sector roles is a plus.

- Experience working with technical leadership and cross-functional teams.


We encourage candidates from diverse backgrounds to apply and join our mission to enhance our workforce in the AI and data science domains.

Requirements

? Demonstrated expertise in workforce planning, job architecture, and competency framework design, preferably within large, matrixed, public sector organizations.

? Strong working knowledge of AI/ML roles, skills, and team structures, with the ability to translate technical functions into HR-friendly frameworks.

? Proven experience conducting compensation benchmarking.

? Exceptional ability to synthesize stakeholder input, industry research, and organizational context into clear, scalable deliverables (e.g., job families, career ladders, competency models).

? Strong project management skills with a track record of executing complex projects on aggressive timelines.

? Familiarity with public sector constraints and civil service considerations 

Excellent verbal and written communication skills, including experience presenting frameworks and recommendations. 

QUALIFICATIONS   FOR THE JOB

EDUCATIONAL LEVEL: Master's degree preferred in HR, Organizational Development, Data Science, or related field.

KNOWLEDGEABLE IN:

-Job architecture and career pathing

-AI/ML functions and team structures

-Healthcare and public-sector workforce frameworks

-Compensation benchmarking


EQUIPMENT/MACHINES OPERATED:

Standard office equipment (computer, telephone, scanner, copier)

COMPUTER PROGRAMS/SOFTWARE OPERATED 

- Microsoft Office Suite

- Google Office

- Job Descriptions Management Tool

YEARS OF EXPERIENCE: 

4+ years in workforce strategy, HR consulting, or organizational design; 2+ years supporting AI, data science, or technical teams preferred.