Machine Learning Manager Jobs in New Jersey
Machine Learning Manager jobs in New Jersey are open across Jersey City, Princeton, and Hoboken and other New Jersey metros, with employers like Celgene Corporation, Citi, and EY hiring at every experience level. Find a role that fits below and apply directly.
Find Machine Learning Manager JobsOverview
Showing 5 of 8+ Machine Learning Manager jobs
We are seeking a results-driven Generative AI group manager with end-to-end experience for execution and deployment of cutting-edge Generative AI solutions for Services Tech AI team. In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI with a proven track record of successfully delivering complex technology projects.
Key Responsibilities
- GenAI Delivery Leadership: Execute the delivery roadmap for generative AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support.
- Team Leadership & Mentorship: Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap.
- End-to-End Solution Delivery: Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI models. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.
- Stakeholder & Program Management: Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery.
- Cross-Functional Partnership: Collaborate closely with Data Mesh, Cloud Architecture, MLOps, and business unit teams to ensure the seamless integration and operationalization of AI models into our existing technology ecosystem.
- Technical Excellence & Best Practices: Drive the adoption of best practices in software development (CI/CD), MLOps, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery.
- Governance & Ethical Deployment: Implement and enforce robust governance and ethical AI frameworks throughout the delivery process, ensuring compliance with data privacy standards and corporate policies.
Required Technical Skills
- Large Language Models (LLMs) & Fine-Tuning: Deep knowledge of LLMs and advanced fine-tuning techniques. Proficient in Parameter-Efficient Fine-Tuning (PEFT) methods (LoRA, QLoRA, Adapter Tuning, Prefix Tuning), full fine-tuning, instruction tuning, and agentic AI techniques (RLHF, multi-task learning).
- Model Optimization: Expertise in model compression and quantization methods (AWQ, GPTQ, GPTQ-for-LLaMA). Proficiency with optimized inference engines such as vLLM, DeepSpeed, and FP6-LLM.
- Prompt Engineering: Adept at advanced prompt engineering techniques and best practices. Familiarity with frameworks that facilitate effective prompt design and management.
- Retrieval-Augmented Generation (RAG): Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering.
- Machine Learning Frameworks and Cloud Computing: Proficiency in TensorFlow, PyTorch, and Keras. Knowledge of distributed training, parallel processing, and extensive hands-on experience with AWS services for AI/ML.
- Natural Language Processing (NLP) and AI Deployment: Advanced NLP skills (NER, Dependency Parsing, Text Classification, Topic Modeling). Experience with Transfer Learning, Few-shot, and Zero-shot learning. Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for MLOps.
- Data Science, Engineering, and API Development: Strong proficiency in data preprocessing, feature engineering, and handling large-scale datasets. Experience with real-time AI applications, streaming data, and designing RESTful APIs for model integration.
- Generative AI Tools & Platforms: Experienced with LangGraph, Autogen, Crew.ai, LangChain, LlamaIndex, and Hugging Face Transformers. Familiarity with Gen AI APIs (OpenAI, Gemini, Claude) and version control systems like Git.
- AI Compliance & Guardrails: Knowledge of AI compliance frameworks and best practices. Experience implementing guardrails to ensure ethical AI usage and mitigate risks (e.g., Microsoft's AI Guidance Framework).
Required Leadership & Soft Skills
- Delivery Leadership: Proven ability to lead and deliver complex, large-scale technical projects from concept to production.
- Program Management: Expertise in Agile/Scrum methodologies, project planning, resource allocation, and risk management.
- Strategic Execution: Capacity to translate high-level AI strategy into a concrete, actionable delivery plan and execute it effectively.
- Stakeholder Management: Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships with both technical and non-technical stakeholders.
- Pragmatic Innovation: A passion for applying cutting-edge AI technologies to solve real-world business problems in a practical and efficient manner.
- Problem Solving: Proactive and analytical mindset to overcome technical and logistical challenges in a fast-paced environment.
Qualifications
- 15+ Years experience
- 8+ years of experience in AI/ML, with at least 3 years in Generative AI.
- 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
- Extensive hands-on experience with AWS services and infrastructure related to AI/ML.
- A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field
Job Family Group: Technology
Job Family: Applications Development
Time Type: Full time
Primary Location: Jersey City New Jersey United States
Primary Location Full Time Salary Range: $176,720.00 - $265,080.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date: Jun 25, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
We are seeking a results-driven Generative AI group manager with end-to-end experience for execution and deployment of cutting-edge Generative AI solutions for Services Tech AI team. In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI with a proven track record of successfully delivering complex technology projects.
Key Responsibilities
- GenAI Delivery Leadership: Execute the delivery roadmap for generative AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support.
- Team Leadership & Mentorship: Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap.
- End-to-End Solution Delivery: Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI models. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.
- Stakeholder & Program Management: Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery.
- Cross-Functional Partnership: Collaborate closely with Data Mesh, Cloud Architecture, MLOps, and business unit teams to ensure the seamless integration and operationalization of AI models into our existing technology ecosystem.
- Technical Excellence & Best Practices: Drive the adoption of best practices in software development (CI/CD), MLOps, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery.
- Governance & Ethical Deployment: Implement and enforce robust governance and ethical AI frameworks throughout the delivery process, ensuring compliance with data privacy standards and corporate policies.
Required Technical Skills
- Large Language Models (LLMs) & Fine-Tuning: Deep knowledge of LLMs and advanced fine-tuning techniques. Proficient in Parameter-Efficient Fine-Tuning (PEFT) methods (LoRA, QLoRA, Adapter Tuning, Prefix Tuning), full fine-tuning, instruction tuning, and agentic AI techniques (RLHF, multi-task learning).
- Model Optimization: Expertise in model compression and quantization methods (AWQ, GPTQ, GPTQ-for-LLaMA). Proficiency with optimized inference engines such as vLLM, DeepSpeed, and FP6-LLM.
- Prompt Engineering: Adept at advanced prompt engineering techniques and best practices. Familiarity with frameworks that facilitate effective prompt design and management.
- Retrieval-Augmented Generation (RAG): Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering.
- Machine Learning Frameworks and Cloud Computing: Proficiency in TensorFlow, PyTorch, and Keras. Knowledge of distributed training, parallel processing, and extensive hands-on experience with AWS services for AI/ML.
- Natural Language Processing (NLP) and AI Deployment: Advanced NLP skills (NER, Dependency Parsing, Text Classification, Topic Modeling). Experience with Transfer Learning, Few-shot, and Zero-shot learning. Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for MLOps.
- Data Science, Engineering, and API Development: Strong proficiency in data preprocessing, feature engineering, and handling large-scale datasets. Experience with real-time AI applications, streaming data, and designing RESTful APIs for model integration.
- Generative AI Tools & Platforms: Experienced with LangGraph, Autogen, Crew.ai, LangChain, LlamaIndex, and Hugging Face Transformers. Familiarity with Gen AI APIs (OpenAI, Gemini, Claude) and version control systems like Git.
- AI Compliance & Guardrails: Knowledge of AI compliance frameworks and best practices. Experience implementing guardrails to ensure ethical AI usage and mitigate risks (e.g., Microsoft's AI Guidance Framework).
Required Leadership & Soft Skills
- Delivery Leadership: Proven ability to lead and deliver complex, large-scale technical projects from concept to production.
- Program Management: Expertise in Agile/Scrum methodologies, project planning, resource allocation, and risk management.
- Strategic Execution: Capacity to translate high-level AI strategy into a concrete, actionable delivery plan and execute it effectively.
- Stakeholder Management: Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships with both technical and non-technical stakeholders.
- Pragmatic Innovation: A passion for applying cutting-edge AI technologies to solve real-world business problems in a practical and efficient manner.
- Problem Solving: Proactive and analytical mindset to overcome technical and logistical challenges in a fast-paced environment.
Qualifications
- 15+ Years experience
- 8+ years of experience in AI/ML, with at least 3 years in Generative AI.
- 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
- Extensive hands-on experience with AWS services and infrastructure related to AI/ML.
- A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field
Job Family Group: Technology
Job Family: Applications Development
Time Type: Full time
Primary Location: Jersey City New Jersey United States
Primary Location Full Time Salary Range: $176,720.00 - $265,080.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date: Jun 25, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
See All 8 Machine Learning Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Machine Learning Manager Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- Celgene Corporation1
- Citi1
- EY1
- NTT DATA1
- Otsuka1
Top Industries Hiring
- Biotechnology & Pharmaceuticals2
- Accounting & Auditing1
- Automotive1
- Consulting & Professional Services1
- Healthcare & Medical Services1
What New Jersey Employers Look For
The qualifications that appear most often in machine learning manager jobs across New Jersey.
- 5+ years of machine learning experience with at least 2 years managing or leading teams
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience taking machine learning models from prototype to production at scale
- Strong cross-functional collaboration skills with product, engineering, and data teams
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD pipelines
- Graduate degree in computer science, statistics, mathematics, or a closely related field
Machine Learning Manager Jobs in New Jersey: Frequently Asked Questions
How many machine learning manager jobs are there in New Jersey?
There are 8+ machine learning manager openings in New Jersey on Migrate Mate as of June 2026, with the most roles in Jersey City, Princeton, and Hoboken. New positions post regularly as employers across New Jersey hire.
Which New Jersey cities have the most machine learning manager jobs?
Jersey City, Princeton, and Hoboken have the most machine learning manager openings in New Jersey right now, with additional roles spread across smaller metros statewide.
Which companies hire machine learning managers in New Jersey?
Employers hiring machine learning managers in New Jersey include Celgene Corporation, Citi, and EY, based on current listings on Migrate Mate as of June 2026.
Are there remote machine learning manager jobs in New Jersey?
Yes. About 38% of machine learning manager openings tied to New Jersey are remote or hybrid as of June 2026. The rest are on-site roles based in New Jersey metros.
How do I apply for machine learning manager jobs in New Jersey?
You can apply to machine learning manager jobs in New Jersey directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred New Jersey location, then apply to each one that fits.
See All 8 Machine Learning Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Manager Jobs