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Machine Learning Engineer Opt Jobs in Hackettstown, NJ

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · On-site

$180K - $220K/yr

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · Hybrid

$180K - $220K/yr

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Deloitte

AI Solutions Architect

Morristown, NJ

$64.75 - $85.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Monitise

AI Engineer

Berkeley Heights, NJ

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Nestle

Senior Data Scientist

Bridgewater, NJ

Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning methods to solve business challenges. * Experience working with relational database and cloud ...

Deloitte

Senior AI Engineer - SFL Scientific

Morristown, NJ

$107K - $147K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Monitise

Senior Data Engineer/Analyst

Berkeley Heights, NJ · On-site

$89K - $113K/yr

Conduct analytics and support development of machine learning and predictive model pipelines and ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Concord Advice

Data Scientist Intern

Florham Park, NJ · On-site

... machine learning, programming, and business operations. • Build, test, and monitor various machine learning models. • Work with Azure cloud computing and MLOps pipeline to create end-to-end ...

New

Apply Early

Concord Advice

Data Scientist Intern

Florham Park, NJ · On-site

... machine learning, programming, and business operations. • Build, test, and monitor various machine learning models. • Work with Azure cloud computing and MLOps pipeline to create end-to-end ...

New

Concord Advice

Data Scientist Intern

Florham Park, NJ · On-site

... machine learning, programming, and business operations. • Build, test, and monitor various machine learning models. • Work with Azure cloud computing and MLOps pipeline to create end-to-end ...

New

Apply Early

Pwc

CTIO AI Engineering Manager

Florham Park, NJ

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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

Machine Learning Engineer Opt information

See Hackettstown, NJ salary details

$32.5K

$133.1K

$199.9K

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

As of Jul 4, 2026, the average yearly pay for machine learning engineer opt in Hackettstown, NJ is $133,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $160,200.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

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 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 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 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 cities near Hackettstown, NJ are hiring for Machine Learning Engineer Opt jobs? Cities near Hackettstown, NJ with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
AI / Machine Learning Engineering Lead

AI / Machine Learning Engineering Lead

Everest

Warren, NJ • On-site

$180K - $220K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title:
AI / Machine Learning Engineering Lead
Company:
Everest Reinsurance Company
Job Category:
Technology
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
About the Role:
We are looking for a talented AI Solution Engineer to join our innovative team. This role involves designing and implementing advanced AI models to solve complex business problems, particularly within the insurance sector. The ideal candidate will have a strong statistical background and be proficient in machine learning and data analysis.
This is a hybrid position based in Warren, NJ working 3 days onsite, 2 remote.
We are not considering fully remote candidates at this time.
Key Responsibilities:
  • Design and Develop AI Models: Create and implement AI models with a robust statistical foundation. Ensure models are scalable and can be integrated into existing systems.
  • Performance Evaluation: Develop and utilize metrics to evaluate the performance of AI models. Continuously monitor and refine models to maintain high performance and accuracy.
  • Data Analysis: Analyze large datasets to extract meaningful insights and patterns. Validate AI models against existing benchmarks and datasets.
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to align AI solutions with business objectives. Communicate findings and recommendations to non-technical team members.

Skills Needed:
  • Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with frameworks such as TensorFlow, PyTorch, or similar.
  • Statistical Analysis: Strong background in statistics and probability. Ability to apply statistical methods to real-world data.
  • Programming: Expertise in Python and/or R for data analysis and model development. Familiarity with SQL and other database technologies.
  • Data Analysis: Skilled in data preprocessing, cleaning, and transformation. Experience with data visualization tools to present findings effectively.
  • Insurance Domain Knowledge: Experience working with insurance datasets, including claims and underwriting data.
  • Understanding of industry-specific challenges and regulatory requirements.

Qualifications:
  • Education: A bachelor's degree in computer science, Statistics, Data Science, or a related field is required. A master's degree or relevant certifications (e.g., in machine learning or data science) are a plus.
  • Experience: 7-9 years of overall experience, including 3-5+ years in AI/ML development and deployment. Prior experience in the insurance industry is highly desirable.
  • Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work collaboratively in a team environment.
  • Adaptability: Ability to stay current with the latest AI trends and technologies and apply them to improve existing solutions.

The base salary range for this position is $180,000 - $220,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
#LI-KG1
#LI-Hybrid
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
Everest U.S. Privacy Notice | Everest (everestglobal.com)

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