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Python Ai Ml Jobs in New York (NOW HIRING)

1 point system

AI/Python Developer

New York, NY · Remote

$51.50 - $71/hr

AI/ML Engineers * Typical project teams range from 1-5 engineers * Agile delivery model with ... Expert-level Python development experience * Proven experience building scalable distributed ...

SysMind Tech

AI/ML - Data Engineer Role

Manhattan, NY · On-site

$90 - $100/hr

Title - AI/ML - Data Engineer Role ( Must have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) Rate - $90 - $100/hr ( Depend on candidates ...

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How ...

Artian AI

Senior Software Engineer - AI/ML

New York, NY · On-site

$150K - $200K/yr

Deep Python engineering experience and a track record of shipping production systems. * Significant experience with applied ML, LLM systems, NLP, retrieval, embeddings, ranking, or agentic ...

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Job Summary : eTeam is a company seeking an AI/ML Engineer specializing in Generative AI. The role ... Responsibilities : • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph ...

Soni Resources

AI/ML Engineer

New York, NY · On-site

$175K/yr

We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that ... experience in Python or R * Experience working with both structured and unstructured data ...

Starr

Senior AI/ML Engineer

Manhattan, NY · On-site

The Senior AI/ML Engineer will be responsible for developing AI/ML solutions to uncover data ... Python, SQL and with data science and data analytics packages working on structured and ...

Bevel

Senior Software Engineer - AI/ML

Manhattan, NY · On-site

$134K - $177K/yr

They are seeking a Senior Software Engineer - AI/ML to ship features across the backend stack ... Python • Strong intuition for algorithms and working with data • Brilliant at math and ...

Savant Bio

AI/ML Engineer

Manhattan, NY · On-site

Required : • 3+ years of hands-on experience building and deploying ML/AI systems • Strong Python development skills, including experience with production-quality ML codebases • Familiarity ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Jersey City, NJ · On-site

$171K - $260K/yr

As a Applied AI/ML Lead at JPMorgan Chase within the Corporate Oversight and Governance team, you ... Solid coding level in Python programming language, with experience in leveraging available ...

Socket.dev

AI/ML Ops Engineer

Manhattan, NY · On-site

$120 - $170/hr

ROLE SUMMARY As AI/ML Ops Engineer, you will own the operational backbone of Blackpoint's AI/ML ... Scripting Languages (Python, Bash) * Query Languages (SQL, SparkSQL) * GitFlow, CI/CD workflows ...

New

JP Morgan Chase

Applied AI/ML Lead

Jersey City, NJ · On-site

As a Applied AI/ML Lead at JPMorgan Chase within the Corporate Oversight and Governance team, you ... Solid coding level in Python programming language, with experience in leveraging available ...

J.P. Morgan

Applied AI/ML Lead

Jersey City, NJ

As a Applied AI/ML Lead at JPMorgan Chase within the Corporate Oversight and Governance team, you ... Solid coding level in Python programming language, with experience in leveraging available ...

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$200K/yr

We are seeking a Senior AI/ML Engineer to help design, build, and scale advanced analytics and ... Strong proficiency in Python and SQL * Experience working with both structured and unstructured ...

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Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What are popular job titles related to Python Ai Ml jobs in New York?

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

What job categories do people searching Python Ai Ml jobs in New York look for?

The top searched job categories for Python Ai Ml jobs in New York are:

What cities in New York are hiring for Python Ai Ml jobs?

Cities in New York with the most Python Ai Ml job openings:

Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in New York as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

AI/Python Developer

1 point system

New York, NY • Remote

$51.50 - $71/hr

Contractor

Posted 23 days ago

Job description

Position Summary

The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.

The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.

Key Responsibilities

  • Define and lead the organization's enterprise AI architecture strategy.
  • Design, build, and deploy scalable AI-powered applications and distributed systems.
  • Provide technical leadership for large-scale AI transformation initiatives.
  • Develop production-quality software and remain hands-on with coding and solution implementation.
  • Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
  • Establish AI governance, best practices, security standards, and ethical AI frameworks.
  • Evaluate emerging AI technologies and recommend strategic investments.
  • Mentor senior engineers and cultivate future technical leaders.
  • Drive adoption of AI-assisted development tools and modern engineering practices.
  • Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
  • Lead technical design reviews and influence enterprise-wide engineering standards.
  • Support multiple project teams operating in quarterly delivery cycles.

Team Environment

  • Cross-functional teams consisting of:
    • Software Engineers
    • Research Scientists
    • Product Managers
    • AI/ML Engineers
  • Typical project teams range from 1–5 engineers
  • Agile delivery model with quarterly planning and execution cycles
  • Strong focus on AI-first software engineering practices
  • Active use of AI-assisted development tooling

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Extensive experience designing and implementing enterprise-scale AI solutions
  • Expert-level Python development experience
  • Proven experience building scalable distributed systems
  • Strong understanding of AI/ML technologies and modern software architecture
  • Experience designing cloud-native applications within AWS and/or GCP environments
  • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
  • Experience leading large technical programs and influencing organizational strategy
  • Excellent communication and stakeholder management skills

Required Technical Skills

Backend Development

  • Python (required)
  • Strong backend engineering experience
  • API and microservices design

Frontend Development

  • Vue.js (preferred)
  • React or Angular acceptable

Cloud & Infrastructure

  • AWS and/or Google Cloud Platform (GCP)
  • Terraform
  • Cloud-native architecture
  • Distributed systems

DevOps & Development Tools

  • GitLab
  • CI/CD pipelines
  • Infrastructure automation

Artificial Intelligence

  • Generative AI technologies
  • AI application architecture
  • AI-assisted development tools
  • Experience with tools such as:
    • Claude
    • Codex
    • GitHub Copilot
    • Similar AI engineering platforms