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 ...
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 ...
Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks. * 80% of model Engineering work & 20% of operations work * Email arbitration with ...
Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks. * 80% of model Engineering work & 20% of operations work * Email arbitration with ...
Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On Target Earnings) The Role: As a Machine Learning Senior Engineer you will be part of all the major ...
Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On Target Earnings) The Role: As a Machine Learning Senior Engineer you will be part of all the major ...
Machine Learning Engineer
Manhattan, NY · On-site +1
$180K - $280K/yr
Machine Learning Engineer Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well -- and we're building the AI to fix it. As a Machine ...
Machine Learning Engineer
Manhattan, NY · On-site +1
$180K - $280K/yr
Machine Learning Engineer Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well -- and we're building the AI to fix it. As a Machine ...
Machine Learning Engineer
Manhattan, NY · Remote
$154K/yr
Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise could directly influence how the world's most advanced AI systems reason, plan, and solve problems ...
Machine Learning Engineer
Manhattan, NY · Remote
$154K/yr
Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise could directly influence how the world's most advanced AI systems reason, plan, and solve problems ...
As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and ...
As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and ...
Machine Learning Engineer (GCP)
Manhattan, NY · Remote
$58.25 - $79.75/hr
Machine Learning Engineer- 2 Positions Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years. Location- Remote Overview: As a GCP ML Engineer, you'll design ...
Machine Learning Engineer (GCP)
Manhattan, NY · Remote
$58.25 - $79.75/hr
Machine Learning Engineer- 2 Positions Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years. Location- Remote Overview: As a GCP ML Engineer, you'll design ...
Machine Learning Engineer
New York, NY · Hybrid
$90K - $254K/yr
We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...
Machine Learning Engineer
New York, NY · Hybrid
$90K - $254K/yr
We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...
Applied Machine Learning Engineer
$170K - $240K/yr
Applied Machine Learning Engineer New York, NY; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with ...
Applied Machine Learning Engineer
$170K - $240K/yr
Applied Machine Learning Engineer New York, NY; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with ...
Machine Learning Engineer
New York, NY · On-site
$148K - $212K/yr
We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...
Machine Learning Engineer
New York, NY · On-site
$148K - $212K/yr
We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...
Machine Learning Engineer
New York, NY · On-site +1
$148K - $212K/yr
We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...
Machine Learning Engineer
New York, NY · On-site +1
$148K - $212K/yr
We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...
Senior Machine Learning Engineer
Manhattan, NY · Remote
$100 - $120/hr
Senior Machine Learning Engineer Harnham, the leading recruitment specialist in Data and AI is currently partnering with a leading Data & Analytics firm in the US who are seeking multiple Machine ...
Senior Machine Learning Engineer
Manhattan, NY · Remote
$100 - $120/hr
Senior Machine Learning Engineer Harnham, the leading recruitment specialist in Data and AI is currently partnering with a leading Data & Analytics firm in the US who are seeking multiple Machine ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
Machine Learning Engineer
New York, NY · On-site
Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...
Machine Learning Engineer
New York, NY · On-site
Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...
Machine Learning Engineer
New York, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
New York, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
Manhattan, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
Manhattan, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...
Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
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. You ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112K - $147K/yr
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. You ...
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
Trainee Machine Learning Engineer information
What engineers make $500,000?
Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.
Can I get into AI with no experience?
The Trainee Machine Learning Engineer role typically requires some foundational knowledge of programming, mathematics, and data analysis. While prior experience is not always mandatory, gaining skills in Python, machine learning frameworks, and completing relevant courses or certifications can improve your chances of entering the field.
Can I learn ML in 3 months?
A Trainee Machine Learning Engineer can acquire foundational knowledge in three months by focusing on core concepts such as algorithms, programming in Python, and data handling. However, mastering advanced topics and gaining practical experience typically requires longer, ongoing learning and project work.
What is the difference between Trainee Machine Learning Engineer vs Junior Data Scientist?
| Aspect | Trainee Machine Learning Engineer | Junior Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, introductory ML knowledge, possibly a degree in CS or related field | Degree in Data Science, Statistics, or related field; some programming experience |
| Work Environment | Internship or entry-level role in tech or AI companies, labs, or startups | Entry-level position in data teams across various industries |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, healthcare, e-commerce, and tech firms |
While both roles are entry-level and involve working with data, a Trainee Machine Learning Engineer focuses more on developing and deploying machine learning models, whereas a Junior Data Scientist emphasizes data analysis, visualization, and insights. The roles often overlap, but the Trainee ML Engineer is more specialized in ML algorithms and model deployment.
Which 5 jobs will survive AI?
For a Trainee Machine Learning Engineer, roles that require complex problem-solving, creativity, and human judgment—such as AI ethics specialists, data scientists, AI product managers, research scientists, and domain-specific consultants—are likely to persist despite advances in AI. These jobs often involve understanding nuanced contexts, strategic decision-making, and interpersonal skills that are difficult for AI to replicate. Developing expertise in areas like critical thinking, communication, and specialized knowledge will enhance job security in the evolving AI landscape.
What are the most commonly searched types of Machine Learning Engineer jobs in New York? The most popular types of Machine Learning Engineer jobs in New York are:
What are popular job titles related to Trainee Machine Learning Engineer jobs in New York? For Trainee Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Trainee Machine Learning Engineer jobs in New York look for? The top searched job categories for Trainee Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Trainee Machine Learning Engineer jobs? Cities in New York with the most Trainee Machine Learning Engineer job openings:
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.
• 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.
About Exaways
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2015