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Junior Ai Machine Learning Python Jobs in New York

Point72

Machine Learning Engineer

New York, NY · On-site

This role will apply the latest AI technologies to solve various real-world problems and streamline ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Point72

Machine Learning Engineer

Manhattan, NY · On-site

This role will apply the latest AI technologies to solve various real-world problems and streamline ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

From computer vision models that understand what is happening inside an oven to embedded AI systems ... Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or similar ...

Point72

Machine Learning Engineer

New York, NY

This role will apply the latest AI technologies to solve various real-world problems and streamline ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Strivector Corp

Machine Learning

Manhattan, NY · On-site

Required : • Development experience in Python or R (C, C++, Java, etc is a plus) • Machine Learning experience • Deep understanding of statistical learning methods • Strong communications and ...

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

Expert‑level proficiency in Python. * Experience with modern deep learning frameworks, such as ... Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

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 ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

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 ...

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Junior Ai Machine Learning Python information

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 are popular job titles related to Junior Ai Machine Learning Python jobs in New York?

For Junior Ai Machine Learning Python jobs in New York, the most frequently searched job titles are:

What job categories do people searching Junior Ai Machine Learning Python jobs in New York look for?

The top searched job categories for Junior Ai Machine Learning Python jobs in New York are:

What cities in New York are hiring for Junior Ai Machine Learning Python jobs?

Cities in New York with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you

Machine Learning Engineer

NYU Langone Hospitals

Manhattan, NY • On-site

$84.58 - $126/hr

Other

Posted 14 days ago

NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

14th of 889 rated healthcare providers

Job description

Position Summary

We have an exciting opportunity to join our team as an Engineer II – Applied AI. As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will drive specific projects forward in collaboration with data scientists, business units, and IT partners across various verticals including corporate services, the office of science and research, clinical, and pathology.

Job Responsibilities
  • Design and implement AI/ML applications using our technology stack and best practices in software development.
  • Collaborate with data scientists to build and fine‑tune high‑performing AI models and implement modern techniques from relevant published papers.
  • Develop scalable and robust pipelines to support large data‑processing tasks.
  • Implement internal security and data protection standards in AI applications; maintain AI system risk and security practices.
  • Support the team in preparing for technical reviews and internal documentation (architecture, IT security, AI).
  • Collaborate with stakeholders to meet team objectives; gather feature requirements, identify AI opportunities, create tickets, participate in backlog refinement, execute tickets, and conduct code review.
  • Stay updated with the latest industry trends and advancements in AI and cloud technologies; share and demonstrate learnings with the team.
  • Provide technical guidance and coaching to less experienced team members.
  • Participate in all phases of AI software development life cycle, including analysis, prototyping, development, evaluation, testing, deployment, refactoring, and technical support.
Minimum Qualifications
  • Bachelor's degree in computer science, software engineering, or a related field.
  • 1–3 years of hands‑on experience in AI solution development.
  • Strong programming skills in Python or other languages commonly used in AI development.
  • Substantial knowledge of AI, machine learning, and deep learning.
  • Experience with AI platforms such as PyTorch or TensorFlow.
  • Experience building large‑scale and/or compute‑intensive applications on clusters (HPC, Spark, Kubernetes).
  • Understanding of software development principles and methodologies, including data structures, data modeling, and software architecture.
  • Excellent problem‑solving skills and the ability to work in a team environment.
  • Excellent verbal and written communication skills.
Preferred Qualifications
  • Master's degree in computer science, data science, software engineering, or a related quantitative discipline.
  • 3–5 years of hands‑on experience in AI solution development.
  • Basic understanding of at least one cloud platform (Azure, AWS, GCP) and cloud‑native development tools, and experience using their AI/ML toolchain.

Qualified candidates must be able to effectively communicate with all levels of the organization.

Benefits: NYU Grossman School of Medicine offers a comprehensive benefits and wellness package including financial security benefits, a generous time‑off program, employee resource groups, and a holistic wellness program focused on physical, mental, nutritional, sleep, social, financial, and preventive care. These programs are designed to support employees at all stages of life.

NYU Grossman School of Medicine is an equal‑opportunity employer and is committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.

Salary Range: $84,577.92 – $126,000.00 annually. Actual salaries depend on experience, specialty, education, and hospital need. The range does not include bonuses, differential pay, or other compensation.

To view the Pay Transparency Notice, please click here.

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