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Junior Ai Machine Learning Python Jobs in Woodmere, NY

ZT Systems

Principal AI / Machine Learning Engineer

Secaucus, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...

ZT Systems

Principal AI / Machine Learning Engineer

Secaucus, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...

ZT Systems

Principal AI / Machine Learning Engineer

Secaucus, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT ... Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate ...

Errgo

Junior Machine Learning Engineer

Manhattan, NY · On-site

$85 - $110/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML ... Write Python code for data preprocessing, feature engineering, and model evaluation * Help build ...

New

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Strong programming skills in Python and modern ML frameworks * Excellent understanding of ...

New

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All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Woodmere, NY

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:

Junior Ai Machine Learning Python jobs near you

Agentic AI / Machine Learning Consultant

Vertical Relevance, Inc.

Manhattan, NY • On-site

$180 - $240/hr

Other

Posted 2 days ago

New

Job description

Vertical Relevance is seeking an Agentic AI/ Machine Learning Consultant to join our team. In this role, you will be responsible for the end-to-end design, development, and deployment of advanced ML/AI solutions. You’ll work closely with clients to deliver impactful outcomes, leveraging Cloud services and cutting‑edge technologies in the NY Metro Area.

As an Agentic AI/Machine Learning Consultant, you will collaborate with cross‑functional teams to implement technical solutions that solve complex business challenges. This position requires strong technical expertise, excellent communication skills, and a passion for driving customer success. At Vertical Relevance, we believe in teamwork, automation, continuous learning, and ownership. If you’re ready to innovate and make a measurable impact, we’d love to hear from you!

Key Responsibilities
  • Experience delivering end‑to‑end ML/AI solutions from problem framing through deployment and monitoring from a consultant perspective.
  • Design scalable AI/ML architectures using AWS, Azure, and GCP services.
  • Optimize RAG pipelines including chunking, embeddings, hybrid search, and re‑ranking.
  • Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG).
  • Design and implement knowledge graphs and ontologies.
  • Build data ingestion pipelines for structured and unstructured data.
  • Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch.
  • Implement self‑hosted embedding models in secure environments.
  • Ensure compliance with PHI/PII data security requirements.
  • Collaborate with cross‑functional teams and act as a technical advisor.
  • Mentor team members and contribute to technical thought leadership.
Required Qualifications
  • 10+ years building and deploying ML/AI solutions in AWS, GCP, or Azure.
  • Strong expertise in RAG systems and retrieval optimization.
  • Experience with vector databases and hybrid search techniques.
  • Knowledge of knowledge graph design and entity resolution.
  • Expert in Python and R.
  • Experience with LLM platforms such as OpenAI, Anthropic, or Gemini.
  • Strong communication and client‑facing skills working with clients.
  • LinkedIn Profile with picture.
  • ID might be requested for technical interviews and tests.
Preferred Qualifications
  • Experience with Amazon Neptune or other graph databases (required).
  • Familiarity with information retrieval metrics.
  • Experience with self‑hosted embeddings.
  • Healthcare domain knowledge (payer/claims).
  • Experience with agentic AI frameworks such as LangGraph or MCP.
About Vertical Relevance

Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right‑sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation.

Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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