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Triunity Software
Iselin, NJ, United States
JD :- In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale. Responsibilities: •Design and develop i
Job Source: Triunity SoftwarePrudential Financial
Newark, NJ, United States
Job Classification: Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you
Job Source: Prudential FinancialTiger Analytics
Jersey City, NJ, United States
Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business val
Job Source: Tiger AnalyticsSeven Seven Software
Newark, NJ, United States
• Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture. • Design and implement Machine learning models and data ingestion pipelines. • Develop and support a platform that enables data scientists to rapidly develop, train, and exper
Job Source: Seven Seven SoftwareJobRialto
Edison, NJ, United States
Technical Skills Primary: 5 years of engineering experience (master's degree in computer science, Engineering, or a related technical field is a plus) Programming Skills Expert knowledge in Python and SQL Comfortable with libraries like pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Keras, hugging face, LangChain Strong track record of impl
Job Source: JobRialtoSynergisticIT
Jersey City, NJ, United States
SYNERGISTICIT wants every Job seeker to be aware that the Job Market is Challenging and to stand out you need to have exceptional skills and technologies which make you stand out from other Job seekers. If your skills and your project work is similar to others then it's difficult to stand out to the clients. Since 2010 we have helped Jobseekers sta
Job Source: SynergisticITDexian
Newark, NJ, United States
F1-OPT Junior Machine Learning Engineer (1-year experience, remote – US/Canada Only) Hiring Type: Full-Time Annual Salary: $47,000-$67,000 This job is for F1-OPT visa holders.** Description: We build digital products for a variety of clients. You will work closely with our senior engineers to design, develop, and maintain high-quality websites
Job Source: DexianRemotely Inc
Newark, NJ, United States
This is a remote position. Junior Machine Learning Engineer (1 year experience, remote) Be part of our future! This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, a
Job Source: Remotely IncBerkeley Heights, NJ, United States
Overall 10+ years’ experience delivering DevOps and MLOps in a Production/Enterprise setting
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 modeling lifecycle and comfortable addressing both functional and technical aspects of model delivery
Experience managing and deploying large distributed systems like Spark, DASK & H20, and heterogeneous platform components
Experienced with programming languages like Python or R and comfortable in understanding the statistical foundations of most used ML algorithms
Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc
Responsibilities Build, install, configure, manage, and scale state-of-the-art machine learning platform in the cloud (Azure preferred) and on-premises powering client’s Data and Analytics products and solutions
Work with data scientists, architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the cloud and on-premises to solve complex problems
Creating and 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 the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services
Qualifications Overall 10+ years’ experience delivering DevOps and MLOps in a Production/Enterprise setting
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 modeling lifecycle and comfortable addressing both functional and technical aspects of model delivery
Experience managing and deploying large distributed systems like Spark, DASK & H20, and heterogeneous platform components
Experienced with programming languages like Python or R and comfortable in understanding the statistical foundations of most used ML algorithms
Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc
Responsibilities Build, install, configure, manage, and scale state-of-the-art machine learning platform in the cloud (Azure preferred) and on-premises powering client’s Data and Analytics products and solutions
Work with data scientists, architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the cloud and on-premises to solve complex problems
Creating and 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 the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services
Job Title: ML Data Scientist
Location: Berkeley Heights, NJ - 100% onsite...
Responsibilities:
• Build, install, configure, manage, and scale state-of-the-art machine learning platform in the cloud (Azure preferred) and on-premises powering client’s Data and Analytics products and solutions.
• Work with data scientists, architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the cloud and on-premises to solve complex problems.
• Creating and 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 the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services.
Qualifications:
• Overall 10+ years’ experience delivering DevOps and MLOps in a Production/Enterprise setting.
• 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 modeling lifecycle and comfortable addressing both functional and technical aspects of model delivery
• Experience managing and deploying large distributed systems like Spark, DASK & H20, and heterogeneous platform components.
• Experienced with programming languages like Python or R and comfortable in understanding the statistical foundations of most used ML algorithms.
• Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc.
• Preferred hands-on experience with 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 Company information
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving our clients’ toughest technology problems, and a commitment to continuous improvement. We focus on three broad areas of digital services: User Experience (UI/UX, Commerce); Engineering (QE/Automation, Cloud, Product/Platform); and Data (Foundation, Analytics, and AI/ML), and have deep expertise in BFSI, healthcare, and life sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.
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Email Alert for Machine Learning Engineer jobs in Berkeley Heights, NJ, United States
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