- UpvoteDownvoteShare Job
- Suggest Revision
Machine Learning Engineering - Dallas, TX (Hybrid) Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
The Hartford is seeking a Director and Data Engineer within Actuarial to lead data engineers in designing, developing, and implementing modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Fundamentals.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
They must be comfortable engaging with non-technical ends users to understand objectives and leverage (the candidates) understanding of available machine learning designs to blueprint solutions and oversee technical implementations, done by others.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
4 years of direct experience with production deployments of AI solutions, including machine learning solution design, pipeline development, support, and management. The Senior Solutions Architect - AI and ML Operations Engineering will be a leader in the AI Transformation offering of FTI's Digital Transformation practice.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Learning & Development: Our lifelong learning philosophy means you'll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor's degree in engineering, computer science, information systems or related field. They must have knowledge and experience with "black box" AI capabilities for traditional tasks such as image and video recognition, speech to text, language translation and chatbots, along with a deep understanding of the intellectual property and data privacy issues inherent in using pre-trained generative AI platforms.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our Digital Transformation Practice helps corporates, private equity firms and other constituencies build long term competitive advantage, accelerate revenue growth and drive investment valuations while optimizing cost.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will also work closely with data management, software engineering, computational modelling, and machine learning team members with access to industry-leading biologics R&D data across AstraZeneca.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Bachelors's or Masters degree in computer science, artificial intelligence, machine learning, data Science, or related. Experience with machine learning, such as k-nearest neighbors, random forests, ensemble methods and their corresponding implementation packages in R (Caret, RandomForest, Rweka, etc.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Particular areas of excellence include 2D materials and devices, widebandgap and ultrawidebandgap devices, nanoelectronic, nanophotonic materials and devices, terahertz electronics and communications, wireless communications, cognitive radio and dynamic spectrum access, Internet of Things, big data and machine learning, smart grids and power electronics.
$90,000 - $120,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our ideal candidate exhibits a proactive attitude with an appreciation for learning and approaches their work with vigor and determination. Works with the Engineering Tools/PLM team across all sites and lucid IT to understand the out-of-the-box (OOTB) capabilities and limitations of the current toolsets including Design, CAD/PLM, Simulation (e.g., FEA, CFD, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago
learning job Title: engineering
FEATURED BLOG POSTS
How Does Salary Pay Work? (Compared to Hourly Pay)
At the bottom of each job advertisement, companies label a role as salaried or hourly. Both methods will get you paid (yay), but each in very different ways. So, it's essential to figure out how does salary pay work? While employees paid by the hour are paid based on how long they work, employers pay salaried employees a fixed amount.
The Quiet Quitting Phenomenon
The term, quiet quitting, was coined in 2009, but only now is it gaining traction as young Millennials and Gen Z workers are experiencing record levels of burnout. With the pandemic and the state of the economy, young employees are feeling the pressure. So, quiet quitting comes into effect when that pressure is exasperated by work stress and no managerial support.
How Does Salary Range Work (With Examples)
What are your salary expectations? Do you know? Establishing a salary that compensates you fairly and keeps you happy at work can feel like taking a shot in the dark. And employers sure don’t make learning budgets easy!
Guide to Hiring a Teenager
Teenagers are full of life. They bring energy and adaptability that may be hard to get from older workers, but does that mean that hiring teens is beneficial? Well, it depends. As you debate whether or not you should integrate teenagers into your workforce, there are some things that you should know first.
10 Best Tips to Find a Job When Relocating
Are you planning to move? That’s great news, but now you might wonder what that means for your job. Some people are lucky – they can relocate and keep working the same position as always, just remotely. For others, however, this isn’t an option. They must search for and land a job in their soon-to-be new city. This can be intimidating, given that getting a new job even under normal circumstances can be challenging. Now you’ll have to overcome additional hurdles. This article provides valuable tips on how to find a job in another state. Because it can be done! Read on to learn how.
How to Re-apply for Your Old Job Professionally
Have you recently started a new job only to find that you miss your old one? Maybe you didn’t realize how good you had it, and now you regret leaving. Don’t worry. You’re not the first person to feel this way, and you might even be able to return to your old job if you play your cards right.
Looking for New Candidates?
Before the turn of the century, recruiters could put their "help wanted" ads in the newspaper, and applications would pour in. Since then, recruiting has turned a new page. The use of the internet and other technologies allows recruiters to broaden their candidate pool for the simple reason being