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Machine Learning Engineer From Home Jobs in New Jersey

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

Showing results 41-60

Machine Learning Engineer From Home information

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding using tools like Python and TensorFlow. Remote work is common in this field, provided the engineer has a reliable internet connection, access to necessary hardware, and effective communication skills.

What are the most commonly searched types of Machine Learning Engineer jobs in New Jersey?

The most popular types of Machine Learning Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Machine Learning Engineer From Home jobs?

Cities in New Jersey with the most Machine Learning Engineer From Home job openings:

Machine Learning Engineer Vice President

Citigroup Inc.

Jersey City, NJ • On-site

$142.32 - $213.48/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 hours ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end-to-end platform services with a focus on scalability, reliability, and performance. You will be a key player in driving the implementation of new AI-driven systems and programs that will impact all business line at Citi globally.

Responsibilities
  • Architect and Build AI Solutions: Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies.

  • Implement RAG Solutions: Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.

  • Develop AI Workflows: Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.

  • Drive DevOps Best Practices: Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.

  • End-to-End Project Ownership: Manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.

  • Rapid Prototyping: Perform and lead quick proof-of-concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.

  • Ensure System Integrity: Appropriately assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintaining transparency in reporting and managing control issues.

  • Collaborate and Innovate: Work closely with cross-functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.

Required Qualifications
  • Experience: 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.

  • Programming Skills: Strong object-oriented programming skills with expert-level proficiency in Python.

  • AI/ML Expertise: Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models.

  • Application Development: Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.

  • DevOps Knowledge: Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.

  • Architectural Understanding: Solid understanding of modern software development practices, including microservices architecture and API design principles.

  • Data Proficiency: Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.

  • Problem-Solving: Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.

Education

Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience

Desired Skills
  • Cloud Architecture: Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi-tenant).

  • Large-Scale Systems: Experience designing and implementing microservices-based architectures for large-scale platforms in complex environments.

  • Leadership: Demonstrated leadership, project management skills, and a proven track record of self-motivation and continuous learning.

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

$142,320.00 - $213,480.00

  • 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

AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).

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.

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What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Citigroup Inc logo

About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US