Machine Learning Engineer
Minneapolis, MN · On-site
Role Summary:- Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions. Ker Responsibilities - Translate data science ...
Machine Learning Engineer
Minneapolis, MN · On-site
Role Summary:- Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions. Ker Responsibilities - Translate data science ...
$106.80K - $138.70K/yr
United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...
$106.80K - $138.70K/yr
United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...
Machine Learning Tutor
Edina, MN · Remote
$40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
Machine Learning Tutor
Edina, MN · Remote
$40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
Machine Learning Engineer III
Minneapolis, MN · On-site
$129.50K - $183.75K/yr
Research & implement appropriate ML algorithms & tools * Select appropriate datasets and data representation methods; Run machine learning tests and experiments * Works on problems of diverse scope ...
Machine Learning Engineer III
Minneapolis, MN · On-site
$129.50K - $183.75K/yr
Research & implement appropriate ML algorithms & tools * Select appropriate datasets and data representation methods; Run machine learning tests and experiments * Works on problems of diverse scope ...
Machine Learning Tutor
Saint Paul, MN · Remote
$40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
Machine Learning Tutor
Saint Paul, MN · Remote
$40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
Machine Learning Tutor
Minneapolis, MN · Remote
$40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
Machine Learning Tutor
Minneapolis, MN · Remote
$40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
Machine Learning Engineer
Minneapolis, MN · On-site
Role Summary:- Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions. Ker Responsibilities - Translate data science ...
Machine Learning Engineer
Minneapolis, MN · On-site
Role Summary:- Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions. Ker Responsibilities - Translate data science ...
Machine Learning Engineer
Minneapolis, MN · On-site
Role Summary:- Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions. Ker Responsibilities - Translate data science ...
Machine Learning Engineer
Minneapolis, MN · On-site
Role Summary:- Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions. Ker Responsibilities - Translate data science ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
Machine Learning Engineer Data Recognition Corporation, Maple Grove MN Company cannot provide ... research and analytics. * Contribute to best practices for model versioning, reproducibility and ...
Machine Learning Engineer Data Recognition Corporation, Maple Grove MN Company cannot provide ... research and analytics. * Contribute to best practices for model versioning, reproducibility and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
Machine Learning Engineer Data Recognition Corporation, Maple Grove MN Company cannot provide ... research and analytics. Contribute to best practices for model versioning, reproducibility and ...
Machine Learning Engineer Data Recognition Corporation, Maple Grove MN Company cannot provide ... research and analytics. Contribute to best practices for model versioning, reproducibility and ...
Research Machine Learning Federated Learning information
What are the key skills and qualifications needed to thrive as a Researcher in Machine Learning Federated Learning, and why are they important?
To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.
What are some common challenges faced when implementing federated learning in a research environment?
One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.
What is a Researcher in Machine Learning Federated Learning?
A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.
What is the difference between Research Machine Learning Federated Learning vs Data Scientist?
| Aspect | Research Machine Learning Federated Learning | Data Scientist |
|---|---|---|
| Credentials | Advanced degrees in CS, ML, or related fields; research experience | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Research labs, academic institutions, tech companies focusing on privacy-preserving ML | Business environments, analytics teams, data-driven departments |
| Industry Usage | Developing federated algorithms, privacy-preserving ML models | Data analysis, modeling, reporting, and insights generation |
Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.
What are popular job titles related to Research Machine Learning Federated Learning jobs in Minnesota? For Research Machine Learning Federated Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Research Machine Learning Federated Learning jobs in Minnesota look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Minnesota are:
- Online Machine Learning
- Machine Learning Biomedical Engineer
- Privacy Preserving Machine Learning
- Ai Machine Learning Drug Discovery
- Home Based Nvidia Machine Learning
- Senior Meta Machine Learning
- Junior Machine Learning
- Artificial Intelligence Machine Learning Physics
- Learning Disability
- Remote Google Machine Learning Engineer
What cities in Minnesota are hiring for Research Machine Learning Federated Learning jobs? Cities in Minnesota with the most Research Machine Learning Federated Learning job openings:
Job description
Role Summary:-
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
Ker Responsibilities
- Translate data science prototypes into production-grade ML services and pipelines.
- Build training and inference code with reproducibility, versioning, and automated testing.
- Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
- Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
- Collaborate with Data Engineering on feature pipelines and data contracts.
- Own production health: drift detection, performance regression, rollback strategies, and incident response.
Required Qualification:-
- 5+ years software engineering with 2+ years shipping ML models to production.
- Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
- Experience with containers and orchestration (Docker/Kubernetes) and API development.
- Understanding of ML system design (data leakage, training-serving skew, drift).
- CI/CD and DevOps practices applied to ML workloads (MLOps).
Nice to have:-
- Experience with feature stores, model registries, and model monitoring stacks.
- GPU optimization and distributed training experience.
- Experience with responsible AI toolkits and compliance requirements.
Role Summary:-
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
Ker Responsibilities
- Translate data science prototypes into production-grade ML services and pipelines.
- Build training and inference code with reproducibility, versioning, and automated testing.
- Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
- Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
- Collaborate with Data Engineering on feature pipelines and data contracts.
- Own production health: drift detection, performance regression, rollback strategies, and incident response.
Required Qualification:-
- 5+ years software engineering with 2+ years shipping ML models to production.
- Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
- Experience with containers and orchestration (Docker/Kubernetes) and API development.
- Understanding of ML system design (data leakage, training-serving skew, drift).
- CI/CD and DevOps practices applied to ML workloads (MLOps).
Nice to have:-
- Experience with feature stores, model registries, and model monitoring stacks.
- GPU optimization and distributed training experience.
- Experience with responsible AI toolkits and compliance requirements.
About Virtusa
Sourced by ZipRecruiter
We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Westborough, MA, US
Year founded
1996