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Machine learning engineer • usa

Last updated: 1 day ago

Machine Learning Engineer

GivzeyUnited States
Full-time

We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions.In this role, you'll have the opportunity to shape and create our ma...Show more

Machine Learning Engineer

ProsumREMOTE PST, CA, US
Remote
Full-time
Quick Apply

We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance.This role focuses on ...Show more

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
Full-time
Quick Apply

We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role.You will architect and implement innovative ML solutions, working closely with dat...Show more

Machine Learning Engineer

Ikigai LabsCambridge, MA, US
Full-time
Quick Apply

Company Description The Ikigai platform unlocks the power of generative AI for tabular data.We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI ...Show more

Machine Learning Engineer

J5 ConsultingHerndon, US
Full-time
Quick Apply

J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities.Our services improve Information System networking ...Show more

Machine Learning Engineer

InsideHigherEdColumbus, Ohio, United States
Full-time

Screen reader users may encounter difficulty with this site.For assistance with applying, please contact.If you have questions while submitting an application, please review these.Current Employees...Show more

 • Promoted

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, US
Full-time
Quick Apply

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi...Show more

Machine Learning Engineer

Seven Seven SoftwaresNewark, NJ, US
Full-time

Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.Design and implement Mach...Show more

Machine Learning Engineer

WorkNovas LLCRichmond, VA, United States
Full-time
Quick Apply

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the Role We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, buil...Show more

Machine Learning Engineer

ProSidian Consulting, LLCAlexandria, Virginia, United States
Full-time

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis located...Show more

Machine Learning Engineer

replicastudiosLas Angeles, California, United States
Full-time

At Replica we're building the world's leading AI Voice Platform for the next generation of games and movies.We're always on the lookout for great talent to join our team (remotely or at our office)...Show more

Machine Learning Engineer

AMG & Associates, Inc.Lincoln, Nebraska, United States
Remote
Full-time
Quick Apply

We specialize in providing cutting-edge machine learning solutions to our clients in various industries.We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our...Show more

Machine Learning Engineer

NuclearnPhoenix, Arizona, United States
Full-time +1

Machine Learning Engineer .AI-powered software for the nuclear and utility industries—tools that keep critical infrastructure reliable, efficient, and safe.Our software integrates AI-driven workflo...Show more

Machine Learning Engineer

Pelham Berkeley SearchJersey City, NJ, US
Permanent
Quick Apply

The Data Management Engineering team is embarking on a transformative journey to define, enable, and drive our data strategy.We aim to engage with partners across technology, data, business, and op...Show more

Machine Learning Engineer

SynergisticITDenver, CO, US
Full-time

Ready to Stand Out and Get Noticed by Top Tech Employers?.At SynergisticIT, we don't just build skills—we build success stories.Since 2010, we've helped thousands of job seekers land full-time role...Show more

Machine Learning Engineer

Rebel Space TechnologiesLong Beach, Hybrid, California, USA
Permanent

Rebel Space Technologies is seeking a talented and experienced Machine Learning Engineer to join our team.At Rebel Space, our mission is to protect critical space infrastructure through enhanced ob...Show more

Machine Learning Engineer

DEKA Research & DevelopmentManchester, NH, US
Full-time
Quick Apply

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning.If you want to design distributed systems, deploy production ML...Show more

Machine Learning Engineer

Intuitive SurgicalSunnyvale, CA, United States
Full-time

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at.Were a team of engineers, clini...Show more

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Machine Learning Engineer

Machine Learning Engineer

GivzeyUnited States
30+ days ago
Job type
  • Full-time
Job description

Machine Learning Engineer

We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms
  • Analyze large datasets and extract meaningful insights
  • Collaborate with cross-functional teams to integrate ML solutions into existing systems
  • Optimize ML models for performance and scalability
  • Stay current with the latest advancements in machine learning and AI
  • Create and implement big data processing pipelines and architectures
  • Design and build scalable data infrastructure to support ML applications

Requirements:

  • US Citizen
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3+ years of experience in machine learning or AI development
  • Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)
  • Solid understanding of machine learning algorithms and statistical modeling
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
  • Proven ability to create and implement big data solutions from scratch
  • Comfortable setting up and managing distributed computing environments
  • Experience in designing and implementing data pipelines for large-scale data processing
  • Proficient in working with various database systems, both SQL and NoSQL, depending on the use case
  • Strong skills in data modeling and database design for machine learning applications
  • Excellent problem-solving and analytical skills
  • Strong communication skills and ability to work in a team environment

Preferred Qualifications:

  • Experience in creating and managing real-time data streaming architectures
  • AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty
  • Experience with AWS machine learning services
  • Proficiency in using AWS big data services
  • Knowledge of serverless architectures on AWS (e.g., Lambda)
  • Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)
  • Understanding of AWS security best practices for machine learning and data processing workflows



What you'll do day-to-day:

  • Be a member of a world-class team focused on inventing solutions that have the ability to impact the world
  • Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base
  • Help build a beautiful, intuitive product that revolutionizes the nonprofit industry
  • Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles