ZipRecruiter

Log In

1

Machine Learning Engineer Opt Jobs in Dayton, NJ

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Canals

Machine Learning Engineer

New York, NY · On-site

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office) Job Duties: Kensho Technologies LLC seeks a ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...

RunSybil

Machine Learning Engineer

New York, NY · On-site

About this Role We are seeking talented engineers intent on changing the security industry. If you ... Understanding of both modern and classic machine learning techniques * Equally comfortable with ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Arlo

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale. We're hiring ML Engineer to build and own the infrastructure that powers it -- from training models ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Dayton, NJ

Machine Learning Engineer Opt information

See Dayton, NJ salary details

$32.3K

$131.9K

$198.2K

How much do machine learning engineer opt jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer opt in Dayton, NJ is $131,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $158,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Dayton, NJ?

For Machine Learning Engineer Opt jobs in Dayton, NJ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in Dayton, NJ look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Dayton, NJ are:

What cities near Dayton, NJ are hiring for Machine Learning Engineer Opt jobs?

Cities near Dayton, NJ with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you

Machine Learning Engineer

New York, NY • On-site

Cognizant Technology Solutions
See more jobs at Cognizant Technology Solutionsexternal

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }
Machine Learning Engineer (Agentic AI)
About the Role
As a Machine Learning Engineer, you will make an impact by designing, developing, deploying, and optimizing Agentic AI systems and machine learning solutions that solve complex business challenges. You will be a valued member of the AI and Data Engineering team and work collaboratively with Data Scientists, Data Engineers, Data Analysts, DevSecOps professionals, Product teams, and business stakeholders to deliver scalable, production-ready AI capabilities that create measurable business value.
In this role, you will help build next-generation AI products and services while leveraging modern engineering practices to deliver innovative customer experiences.
In This Role, You Will
  • Design, develop, deploy, and optimize machine learning models and Agentic AI systems that address real-world business challenges.
  • Collaborate with Data Science, Product, Engineering, and DevSecOps teams to develop scalable, secure, and production-ready AI solutions.
  • Build and maintain cloud-native AI applications, data ingestion pipelines, memory frameworks, and model-serving architectures.
  • Implement MLOps and AgentOps best practices, including automated testing, CI/CD/CT pipelines, monitoring, observability, and model governance.
  • Contribute to continuous improvement initiatives by evaluating emerging technologies and applying engineering best practices across AI development projects.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office in New York, New York. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What You Need to Have to Be Considered
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.
  • Experience designing, developing, deploying, and supporting machine learning applications in enterprise environments.
  • Strong programming skills in Python and SQL, with exposure to C++ preferred.
  • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Knowledge of software engineering principles, including object-oriented programming, RESTful APIs, microservices, testing, version control, and system design.
  • Experience developing and deploying ML solutions within cloud-based environments.
  • Familiarity with CI/CD pipelines, automated deployment practices, model versioning, and monitoring frameworks.
  • Knowledge of data engineering concepts, including ETL processes, Spark/PySpark, distributed processing, and large-scale data environments.
  • Strong communication, problem-solving, and collaboration skills.
  • Experience working in Agile development environments. [Global Job...oilerplate | Word]
These Will Help You Stand Out
  • Experience developing Agentic AI applications and autonomous AI workflows.
  • Familiarity with Agent Development Life Cycle (ADLC) methodologies and observability frameworks.
  • Experience using LLM development tools and AI-assisted software engineering platforms.
  • Knowledge of MLFlow, Amazon SageMaker Pipelines, GitHub Actions, Jenkins, CloudBees, or similar MLOps technologies.
  • Understanding of model governance, explainability, drift detection, bias monitoring, and AI risk management practices.
  • Experience working with relational, NoSQL, and graph databases.
  • Knowledge of statistics, probability, linear algebra, predictive analytics, and machine learning optimization techniques.
  • Passion for continuous learning and staying current with emerging AI technologies. [Global Job...oilerplate | Word]

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. [Global Job...oilerplate | Word]
Salary and Other Compensation
The annual salary for this position is anticipated to be between $110,000 and $135,000, depending on experience, qualifications, geographic location, skills, and other job-related factors.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits
Cognizant offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our associates and their families, including:
  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) and Flexible Spending Accounts (FSA), where applicable
  • Company-paid life insurance and disability coverage
  • 401(k) retirement savings plan with company contributions, subject to plan provisions
  • Paid time off, company holidays, and leave programs
  • Employee Assistance Program (EAP)
  • Wellbeing and mental health resources
  • Professional development, training, and certification opportunities
  • Career growth and internal mobility programs
  • Associate recognition and reward programs

Benefits may vary by location and employment status and are subject to change.
Application Deadline
Applications will be accepted until September 30, 2026.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply