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Machine Learning Engineer Opt Jobs in Hackettstown, NJ

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.

Google Cloud Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Google Cloud Data Engineer Are you ready to step up to the New and take your technology expertise ... Knowledge in machine learning algorithms especially in recommender systems * Extracting, Loading ...

Strong programming skills in R and/or Python for data preprocessing, data analysis, statistical modeling, and machine learning, as well as solid SQL skills for data querying and manipulation. Strong ...

Azure Data Engineer

Montague, NJ · On-site

$97K - $117K/yr

Knowledge of machine learning concepts and frameworks. Experience with CI/CD practices and tools for data engineering. Familiarity with containerization technologies such as Docker and Kubernetes.

GCP Senior Big Data Engineer

Basking Ridge, NJ · On-site

$57.50 - $76/hr

... Machine Learning algorithms and 4) High performance serving infrastructure for both internal ... As a GCP Big Data Engineer - You should be comfortable with Big Data Technologies like Hadoop, Hive ...

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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:
Associate AI/ML Engineer (RAG/LLM)

Associate AI/ML Engineer (RAG/LLM)

UnitedHealth Group

Basking Ridge, NJ • Remote

$77K - $137K/yr

Full-time

Retirement

Posted 2 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.   

We are seeking an entry-level AI Engineer to help build and optimize our machine learning systems. In this role, you will work on data-matching projects, automate workflows, and implement Retrieval-Augmented Generation (RAG) patterns to improve data processing accuracy.

Location: If New Jersey is based this role will be hybrid. Open to remote for outside of New Jersey

If you reside in the state of New Jersey, you'll enjoy the flexibility to telecommute* as you take on some tough challenges.

Primary Responsibilities:

  • Model Support: Assist in building and tuning machine learning and NLP models
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
  • RAG Development: Support the implementation of RAG pipelines and search systems
  • Data Pipelines: Write Python code to clean, transform, and prepare large datasets
  • Cloud Integration: Help deploy and run AI models within cloud environments
  • Model Support: Assist in building and tuning machine learning and NLP models.
  • RAG Development: Support the implementation of RAG pipelines and search systems.
  • Data Pipelines: Write Python code to clean, transform, and prepare large datasets.
  • Cloud Integration: Help deploy and run AI models within cloud environments.

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in computer science, Data Science, or a related field
  • 2 years of experience programming skills in Python and standard ML libraries
  • 1 Knowledge of RAG pipelines, vector databases, or LLM workflows 

Preferred Qualifications:

  • Hands-on experience with AWS services and architecture 
  • Basic understanding of infrastructure tools like Terraform 

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $77,000 to $137,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.  

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO, #GREEN


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