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Randstad
Folsom, CA, United States
machine learning engineer. folsom , california posted 1 day ago job details summary $60 - $80 per hour contract bachelor degree category computer and mathematical occupations reference1056348 job details job summary: Randstad Digital is looking for an outstanding ML Engineer for a long term cotnract based out of San JOse, California. The ide
Job Source: RandstadRandstad USA
Folsom, CA, United States
job summary: Randstad Digital is looking for an outstanding ML Engineer for a long term cotnract based out of San JOse, California. The ideal candidate will be experienced with AI/ML, be able to develop and analyze AI models that can be run on Mobile systems. You will contribute to the development of new architectures and products location: FOLSOM
Job Source: Randstad USAMeta
Sacramento
**Summary:** Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving
Job Source: MetaNelnet
Sacramento
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, ass
Job Source: NelnetRandstad US
Folsom
machine learning engineer. + folsom , california + posted 4 days ago **job details** summary + $60 - $80 per hour + contract + bachelor degree + category computer and mathematical occupations + reference1056348 job details job summary: Randstad Digital is looking for an outstanding ML Engineer for a long term cotnract based out of San JOse, Califor
Job Source: Randstad USNelnet
Sacramento
Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across th
Job Source: NelnetMeta
Sacramento
**Summary:** Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the worl
Job Source: MetaMeta
Sacramento
**Summary:** Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the worl
Job Source: MetaSacramento, CA, United States
Job Type
Full-time
Description
About 11:59
We are 11:59, a professional services firm that helps forward-thinking public and commercial sector clients unlock the full potential of their transformation and modernization efforts. With a team led by former Big 4 Consulting Executives, we bring the Art of the Possible to life, delivering unbiased strategies that are independent from resource constraints, while generating true value and advantage based on what is possible today so that our clients are ready for tomorrow.
As a firm that’s built on the curiosity of our experts, we employ an integrated, agile talent model to deliver modern technology. Our clients hire us for our shared commitment to their mission, the collaborative approach of our team members, and our track record of delivering breakthrough solutions and results.
At 11:59, we don’t just showcase the art of the possible, we deliver it.
Summary:
11:59 is looking for experienced ML Engineers to drive the design, development, and deployment of new innovative AI solutions for our clients across multiple industries. The ideal candidate will have a robust understanding of machine learning models' lifecycle, from design to deployment and scaling, combined with hands-on experience in the rapidly evolving field of ML Ops.
Requirements:
Collaborating with team members to analyze client use cases and develop recommendations for potential AI solutions
Applying AI concepts, algorithms, and techniques such as machine learning, deep learning, computer vision, natural language processing, speech recognition, etc. to solve real-world problems
Designing, developing, testing, and deploying AI solutions using ML Ops best practices
Providing technical guidance and support to other developers and stakeholders on AI best practices and standards
Staying updated on the latest trends and developments in AI research and industry
Qualifications:
Master’s (or Bachelors) degree or higher in computer science, engineering, mathematics, or related field
Minimum of 3 years of experience in developing and deploying real-world AI solutions following ML Ops best practices
Experience working with common ML languages such as Python, SQL, etc.
Experience using a variety of AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Experience working with major cloud platforms like AWS, Azure, and/or Google Cloud
Strong knowledge of AI concepts, algorithms, and techniques such as machine learning, deep learning, computer vision, natural language processing, speech recognition, etc.
Experience in working with large-scale data sets and databases
Experience in using agile methodologies and tools such as Git, Jira, etc.
Ability to work independently and as part of a team
Nice-to-Have Skills/Experience:
Use advanced language models like ChatGPT-4(Data Analysis) or CoPilot to accelerate project development
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
Hands-on experience with ML Ops tools like MLflow, Kubeflow, TFX, or similar
Compensation:
Competitive salary $105,000 - $160,000 (depending on experience)
Performance bonus 401(k) with company match
Medical, dental, and vision insurance
Paid time off
Applicants must be able to work in the United States without the need for current or future visa sponsorship. No Corp to Corp.
Salary Description
$105,000 - $160,000 annually
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Email Alert for Machine Learning Engineer jobs in Sacramento, CA, United States
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