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Python Gen Ai Jobs in New Jersey (NOW HIRING)

cloudingest inc

W2 ONLY -Product owner

Morristown, NJ · On-site

Senior Product Owner for Transform - covers Gen AI work for the tribe across our platforms. Will be ... Familiarity with Python, SQL, and data visualization tools, along with an understanding of AI/ML ...

Staffingine LLC

QA Automation

Princeton, NJ · On-site

Contract * Advanced proficiency in automation tools and technologies, including Java, Python ... Exposure to Generative AI (GEN AI) tools is preferred. * Experience in performance testing is ...

Virtusa Corporation

Senior Consultant

Jersey City, NJ · On-site

... with next-gen AI testing paradigms to lead niche skills groups. Build automated evaluation ... Requires expert-level Java, Python, and Node.JS scripting alongside advanced hands-on automation ...

Virtusa Corporation

Senior Consultant

Jersey City, NJ · On-site

... with next-gen AI testing paradigms to lead niche skills groups. Build automated evaluation ... Requires expert-level Java, Python, and Node.JS scripting alongside advanced hands-on automation ...

Apex Systems

Generative AI Engineer

Jersey City, NJ · On-site

Build and deploy a Gen AI inferencing platform with open-source toolsets, and build inferencing ... Python * MongoDB * Node.js Professional Skills: * Ability to adhere to processes and demonstrate ...

Fairygodboss

Senior Application Security Analyst

Roseland, NJ · On-site

$103K - $135K/yr

Lead comprehensive security assessments across a variety of platforms, including Gen AI, web ... Expertise in programming languages such as Python or Ruby, with additional experience in Java or

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Python Gen Ai information

What is a Python Gen AI engineer?

A Python Gen AI engineer is a professional who develops and implements generative artificial intelligence solutions using the Python programming language. They design, build, and deploy AI models capable of generating new content such as text, images, or code, often using frameworks like TensorFlow or PyTorch. These engineers work with large datasets, fine-tune pre-trained models, and integrate AI systems into applications to solve real-world problems. Their expertise bridges the gap between software engineering and machine learning, particularly in the emerging field of generative AI.

What are the key skills and qualifications needed to thrive as a Python Gen AI engineer?

To thrive as a Python Generative AI Engineer, you need a solid background in Python programming, machine learning, and deep learning, typically supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as relevant certifications, is common. Strong problem-solving abilities, creativity, and effective communication are standout soft skills for this role. These skills and qualities are essential for building, optimizing, and deploying innovative AI models that address real-world challenges.

How does a Python Gen AI engineer typically collaborate with cross-functional teams on machine learning projects?

As a Python Gen AI engineer, you will frequently work alongside data scientists, product managers, and software engineers to develop and deploy generative AI models. Collaboration often involves participating in model design discussions, translating business requirements into technical specifications, and integrating AI solutions into existing products. Effective communication and teamwork skills are crucial, as you may also be responsible for explaining complex model behaviors and results to non-technical stakeholders. Regular code reviews, sprint meetings, and joint problem-solving sessions are common aspects of the work environment.

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

AspectPython Gen AiData Scientist
Required CredentialsProficiency in Python, AI frameworks, and machine learningDegree in Data Science, Statistics, or related fields; Python skills often required
Work EnvironmentTech companies, AI startups, R&D labsCorporate, finance, healthcare, tech industries
Industry UsageDeveloping AI models, automation, NLP applicationsData analysis, predictive modeling, business insights
Search & Comparison IntentFocus on AI development with PythonData analysis and insights with Python skills

Python Gen Ai specialists focus on developing AI models and applications using Python, often working in AI-specific environments. Data Scientists analyze data to generate insights, frequently utilizing Python as a tool. While both roles require Python skills, Python Gen Ai roles are more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

What cities in New Jersey are hiring for Python Gen Ai jobs?

Cities in New Jersey with the most Python Gen Ai job openings:

Infographic showing various Python Gen Ai job openings in New Jersey as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 2% Temporary, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Applied AI/ML - Senior Associate

Jersey City, NJ • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

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Re-posted 4 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 rated banks

Job description

You will join a collaborative Data Science team that builds secure, stable, and scalable AI/ML solutions. You will work with partners across technology and the business to turn ideas into production-ready capabilities that drive measurable outcomes.


As a Applied AI ML Senior Associate at JPMorgan Chase within COGT, you serve as a seasoned member of Data Science team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various corporate technology business functions in support of the firm's business objectives.

Job Responsibilities
  • Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment.
  • Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.
  • Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.
  • Hands on experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques.
  • Strong experience in natural language processing (NLP) and its applications.
  • Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
  • Working with other team members to productionize end-to-end AI/ML solutions.
  • Engaging in research and development of innovative relevant solutions.
  • Coaching and mentoring other AI/ML team members towards both personal and professional success
  • Collaborating with other teams across the firm to attain the mission and vision of the team and the firm. Engaging with stakeholders and understanding business requirements.
  • Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.
Required Qualifications, Capabilities, and Skills
  • Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
  • 5+ years of applied experience in data science, machine learning, or related areas.
  • Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
  • Experience LLM Orchestration and Agentic AI libraries
  • Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
  • Experience in building AI Agents, Agentic frameworks.
  • Experience in building and managing data lakes and data processing workflows using Databricks.
  • Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
  • Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
  • Strong troubleshooting and problem-solving skills.
  • Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.
Preferred Qualifications, Capabilities, and Skills
  • Understanding of AWS component.
  • Experience integrating AI/ML models into data pipelines is a plus.
  • Experience with version control (Git) and CI/CD pipelines.
  • Experience in PySpark is a plus.
  • Financial service background
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