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Machine Learning Engineer Opt Jobs in Hackettstown, NJ

Samprasoft

Sr Machine Learning Engineer

Piscataway, NJ · On-site

$55.75 - $73.75/hr

Machine Learning Engineer / Architect Experience • 7+ years' experience in designing and developing enterprise class AI Platforms and solutions • 3+ years of experience with enterprise fully ...

Deloitte

AI Solutions Architect

Morristown, NJ · On-site

$65 - $85.75/hr

... machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models • Collaborating with architects, engineers, data scientists, and ...

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 · On-site

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 ...

United IT Solutions

Lead GCP DevOps DATA Engineer

Califon, NJ · On-site

$117.10K - $140.60K/yr

Collaborate closely with Data Scientists and Machine Learning Engineers to understand data ... requirements for model training, evaluation, and serving. Prepare, transform, and curate large ...

Keylent Inc

ML Ops Engineer

Berkeley Heights, NJ · On-site

Min. 10+ Summary Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (Client) /Deep Learning (DL) platform using Client/DL frameworks, High ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

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 ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

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 ...

Stouffers

Senior Data Scientist

Bridgewater, NJ · On-site

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

$107.50K - $147.60K/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 ...

Zimmerman Advertising

Data Scientist

Bridgewater, NJ · On-site

Perform data analysis and feature engineering to support machine learning model development. * Stay up to date with the latest advancements in machine learning and MLOps and evaluate new technologies ...

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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 Jun 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 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 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 job categories do people searching Machine Learning Engineer Opt jobs in Hackettstown, NJ look for? The top searched job categories for Machine Learning Engineer Opt jobs in Hackettstown, NJ are:
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
Machine Learning Engineer

Machine Learning Engineer

Exaways Corporation

Berkeley Heights, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description Summary:
• Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (ML) /Deep Learning (DL) platform using ML/DL frameworks, High-Performance Computing (HPC) machines, Data Science tools, products & services in cloud and on-premises for client's data & analytics organization.
• Role will expose you to cutting edge technologies related to ML/DL and the ideal candidate will be driven, focused and enthusiastic about learning new technologies and implement them.
Responsibilities:
• Build, install, configure, manage, and scale state-of-the-art machine learning platform in cloud (Azure preferred) & on-premises powering client's Data & Analytics products and solutions.
• Work with data scientists, architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in cloud and on-premises to solve complex problems.
• Creating & maintaining ML/DL pipelines and overall ML/DL workflow orchestration including but not limited to data collection, prep, transform, analyze, experiment, train, validate, serve, monitor, etc.
• Implement ML/DL solutions addressing performance, scalability, and the governance/ traceability of machine learning models
• Iterate quickly through latest technologies, products, frameworks, and R&D on latest information related to ML/DL frameworks, tools & services.
Qualifications:
• 4+ years' experience delivering DevOps and MLOps in a Production/Enterprise setting
• Bachelor's degree required; Masters preferred in Computer Science or Data Science
• Excellent written and oral communication and presentation skills.
• Experienced in a technical role involving platform and infrastructure operation.
• System administration experience of Unix or Linux systems.
• Container-based deployment experience using Docker and Kubernetes.
• Proficient with the machine learning modelling lifecycle and comfortable addressing both functional and technical aspects of model delivery
• Experience with managing, deployment of large distributed systems like Spark, DASK & H20 and heterogenous platform components.
• Experienced with programming languages like Python or R and comfortable in understanding statistical foundations of most used ML algorithms.
• Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, Spark Mllib, etc.
• Preferred hand-on experience IBM Watson Machine Learning systems or related preferred
• Preferred hands-on experience with HPC - Nvidia, CUDA
• Preferred experience with configuration Management tools like Ansible, puppet
• Preferred experience in monitoring and performance analysis of Machine Learning platforms using tools like Grafana and Zabbix.

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