Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.

The base We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.

KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.

We are seeking a Senior Machine Learning Engineer to join DS&E. Candidates should possess robust knowledge and hands-on experience in end-to-end ML modeling, including design, development, deployment, monitoring, and maintenance, plus proficiency with cloud computing infrastructure, AWS in particular.

Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience.

Senior Embedded Machine Learning Engineer. Our cameras and devices detect objective evidence, decode it with machine learning, and deliver it into the hands that stop crime.

Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.

Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and experience in deploying machine learning models in a cloud environment using platforms such as AWS SageMaker and GCP Vertex AI.

AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.

We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.

Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for an Engineering Manager working on generative AI models for image synthesis to help us build the next generation of creative tools.

Experience with Machine Learning tools (Scikit-learn, TensorFlow, PyTorch, and building models in areas such as nlp, generative ai , deep learning neural nets. Insatiable thirst / hunger for learning and problem solving.

As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.

Preference is for candidates with experience with common open source scientific computing/machine learning libraries including: scipy, pandas, statsmodel, OpenCV, XGBoost, PyTorch / TensorFlow.

Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.