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Senior Python Ai Jobs in New York (NOW HIRING)

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 LangChain, Pydantic, and scalable AI workflows * Proficiency in prompt engineering and optimization ...

As a senior member of our AI engineering team, you'll provide technical leadership, mentor ... Python (AI/ML development & data processing) * NodeJS with TypeScript (backend services) * AWS ...

AI/Python Developer

New York, NY · Remote

$51.50 - $71/hr

Mentor senior engineers and cultivate future technical leaders. * Drive adoption of AI-assisted ... Expert-level Python development experience * Proven experience building scalable distributed ...

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 LangChain, Pydantic, and scalable AI workflows * Proficiency in prompt engineering and optimization ...

Gen AIML Expert

Iselin, NJ · On-site

$123K - $166K/yr

Senior lead with broad understanding of AI space and expertise in creating/ holding executive ... Expert-level Python, C++, or Java. 2. Frameworks: PyTorch, TensorFlow, JAX.

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and ...

Showing results 41-60

Senior Python Ai information

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

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

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.
What are the most commonly searched types of Python Ai jobs in New York? The most popular types of Python Ai jobs in New York are:
What job categories do people searching Senior Python Ai jobs in New York look for? The top searched job categories for Senior Python Ai jobs in New York are:
What cities in New York are hiring for Senior Python Ai jobs? Cities in New York with the most Senior Python Ai job openings:

Senior AI/ML Engineer

Cross River

Fort Lee, NJ • On-site

$160K - $200K/yr

Full-time

Re-posted 18 days ago


Job description

Who We Are

Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance.

Responsibilities:

  • Build complex multi-agent AI agents that are highly scalable
  • Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
  • Engineer and refine prompts to enhance AI performance and output quality
  • Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
  • Ensure AI applications align with ethical standards, data privacy, and real-world scalability
  • Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face

Requirements:

  • Work with current state of the art LLMs and embedding models
  • Experience building agentic AI systems
  • Experience with debugging traces of LLM calls to identify errors/optimizations
  • Experience with building Retrieval-Augmented Generation (RAG) systems
  • Engineer and refine prompts to enhance AI performance and output quality
  • Knowledge of extracting structured outputs from LLMs
  • Experience using LLM APIs, embedding models, and RAG-based AI architectures
  • Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
  • Knowledge of LangChain, Pydantic, and scalable AI workflows
  • Proficiency in prompt engineering and optimization techniques
  • Some UI/UX experience is a plus

Qualifications:

  • Minimum 5 years of experience in AI/ML development and data engineering
  • Proficiency in programming languages Python
  • Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
  • Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
  • Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
  • Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)

Preferred Qualifications:

  • Experience in NLP, Generative AI, or deep learning models
  • Proven track record of deploying AI solutions at scale
  • Research background in generative AI models
  • Ability to integrate code into real world application
  • Understanding AI ethics, bias mitigation, and responsible AI principles
  • Prior experience in the financial or banking sector is a plus

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00