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Python Ai Ml Jobs in New York (NOW HIRING)

Artian AI

Software Engineer - AI/ML

New York, NY · On-site

$125K - $150K/yr

Strong Python engineering skills and experience building production software. * Experience with ... Nice to Have * BS in Computer Science, AI/ML, or a closely related technical field, or equivalent ...

Octaura

AI/ML Software Engineer

New York, NY · On-site +1

$130K - $160K/yr

Develop, train, evaluate, and deploy machine learning models using Python-based ML frameworks (e.g., scikit-learn, PyTorch, or TensorFlow). * Architect and implement Agentic AI systems, including ...

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$210K/yr

Write scalable, maintainable, and high-quality Python code for AI and ML applications * Optimize performance, scalability, reliability, and cost efficiency of AI and ML services * Integrate AI and ML ...

Compunnel

PHD AI/ML Data Scientist

New York, NY · On-site

Key Responsibilities • Design, develop, and deploy advanced AI/ML models using Python. • Build predictive and statistical models to solve complex business problems. • Analyze large and complex ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

Aismm

AI/ML Engineer

Manhattan, NY · On-site

$100 - $125/hr

We're hiring an AI/ML Engineer to develop machine learning models for social media automation ... Requirements Experience with Python, TensorFlow, PyTorch, and NLP . Strong background in data ...

Starr Insurance Companies

AI/ML Engineer

New York, NY · On-site +1

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Python analytics experience with a proven track record in advanced analytics as well as hands-on ...

Octaura

AI/ML Software Engineer

New York, NY · On-site

$130K - $160K/yr

Develop, train, evaluate, and deploy machine learning models using Python-based ML frameworks (e.g., scikit-learn, PyTorch, or TensorFlow). * Architect and implement Agentic AI systems, including ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Jersey City, NJ · On-site

$150 - $200/hr

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 ...

Adidev Technologies Inc

AI/ML

Hoboken, NJ · On-site

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 ...

Mitchell Martin Inc.

Python Developer with AI

Manhattan, NY · On-site

$55.25 - $76.25/hr

... Python Developer with AI expertise. This contract position requires strong skills in object ... implement AI/ML models and applications in production environments. • Collaborate on the ...

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 ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Strong skills in Python, AI model deployment, and AWS services (Lambda preferred) * Knowledge of ... Minimum 5 years of experience in AI/ML development and data engineering * Proficiency in ...

Adidev Technologies Inc

AI/ML

Hoboken, NJ · On-site

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 ...

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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 September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.

Software Engineer - AI/ML

Artian AI

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 16 days ago

Key responsibilities

  • Build and improve AI/ML components that enable autonomous enterprise workflows.

  • Develop evaluation frameworks to measure agent performance, accuracy, reliability, latency, and failure modes.

  • Collaborate with engineering teams to integrate AI capabilities into end-to-end workflows and design systems for observability and debugging.

Job description

About Artian
Artian AI is building agentic AI automation for financial services. Our platform enables reliable, autonomous AI agents to execute business-critical workflows across regulated enterprise environments.
We are an in-person team in New York, building at the intersection of AI, enterprise software, workflow automation, and financial services. We move with urgency, take ownership, communicate transparently, and care deeply about doing excellent work. We are looking for people who are grounded under pressure, learn quickly, earn trust with teammates and customers, and want to help define how AI agents are deployed safely and effectively in the enterprise.
About the Role
Artian AI is looking for a Software Engineer - AI/ML to help build the intelligence layer of our agentic AI platform for financial services. You will work on the systems that enable AI agents to understand complex workflows, reason over enterprise data, interact with tools, and complete business-critical tasks reliably.
This role is ideal for an engineer who has strong software fundamentals, applied machine learning experience, and a practical orientation toward shipping production systems. You should be excited by the challenge of turning fast-moving AI capabilities into dependable software used by financial institutions.
What You'll Do
  • Build and improve AI/ML components that power autonomous enterprise workflows.
  • Work with large language models, embeddings, retrieval systems, classifiers, ranking systems, and agentic workflow architectures.
  • Develop evaluation frameworks to measure agent performance, accuracy, reliability, latency, and failure modes.
  • Prototype new AI capabilities and productionize the ones that create customer value.
  • Collaborate with backend, product, and solutions engineering to integrate AI capabilities into end-to-end workflows.
  • Design systems for observability, debugging, and continuous improvement of AI agents in production.
  • Stay current with developments in applied AI and bring a pragmatic lens to which techniques should be used in enterprise environments.

What We're Looking For
  • Strong Python engineering skills and experience building production software.
  • Experience with applied machine learning, LLMs, NLP, embeddings, retrieval, ranking, or agentic systems.
  • Familiarity with ML tooling such as PyTorch, scikit-learn, vector databases, model evaluation frameworks, or data pipelines.
  • Ability to reason from first principles about model behavior, failure modes, latency, accuracy, and reliability.
  • Comfort working in ambiguity and quickly turning prototypes into robust software.
  • Strong communication skills and a bias toward ownership.
Nice to Have
  • BS in Computer Science, AI/ML, or a closely related technical field, or equivalent industry experience.
  • Experience building LLM-powered products, agent frameworks, or retrieval-augmented generation systems.
  • Experience with financial services, regulated workflows, compliance, auditability, or enterprise data environments.
  • Experience designing AI evaluations, human-in-the-loop systems, or production monitoring for ML systems.
  • Experience at an early-stage startup or in a high-ownership engineering environment.

Why Join Artian
  • Build applied AI systems for real enterprise use cases, not demos.
  • Work on hard problems in reliability, automation, financial services, and AI governance.
  • Join an in-person team with high ownership and direct customer impact.
  • Help define how autonomous agents operate in regulated enterprise environments.

Apply