machine learning engineer Jobs in baltimore, md

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Machine Learning Engineer, Fast Optimized Inference - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, Grammarly an

Machine Learning Engineer in the Optimization team - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

ML-OPS Engineer

Heliogic LLC

Remote

Full-time

Title: ML-OPS Engineer Remote: Yes Position type: Full-Time Skills: Python, SQL, ML, AWS, Sagemaker, Deep Learning. Train and Deploy ML Models using Python 7+ years of Experience in Machine Learning models in Python Proficiency in ML techniques like Regression, Classification, Clustering, Recommender Systems, Forecasting etc. MLOps experience is a bonus Experience on working on AWS Ability to deploy ML models with REST based APIs Experience with Docker/Kubernetes Experience in working with tool

Sr. DevOps Engineer (Machine Learning)/MLOPS - Fulltime Only

CitiusTech

Remote

Full-time

Role: Sr. DevOps Engineer (Machine Learning)/MLOPS Location: Remote Duration: Fulltime Position Summary This individual will design, build, and maintain the infrastructure that supports our data science and machine learning workflows.The ideal candidate will have deep expertise in cloud platforms, infrastructure as code, and DevOps practices.They will collaborate closely with data scientists, DevOps teams, and other stakeholders to ensure our infrastructure is robust, scalable, and secure.Teamm

Machine Learning Engineer (MLOps)

Xoriant Corporation

Remote

Contract

JOB SUMMARY: We are looking for a Machine Learning Engineer to join Emerging Technology Group to be part of our AI and data insight journey. Additionally, this person will help drive our AI implementations related technologies/solutions to address current and future business opportunities. This person must have strong experience with prompt engineering, designing, developing/deploying ML systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest

Open-Source ML Release Engineer - US Remote

Hugging Face

Remote or New York, New York, USA

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

ML Engineer

Digital Makers Solution

Remote or San Jose, California, USA

Contract

Senior Profiles with 10 Yrs and A Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field. Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies. Backend Server & SDK development - programming languages (GO/GRPC, Java, Python) Google Cloud Platform Vertex AI Components and SDK Experience Experience with React UI is needed Optional : Google Cloud Platform Vertex AI, React, S

Senior Machine Learning Operations (MLOps) Engineer

Natsoft

Remote

Full-time

MLOps Engineer Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFaceStrong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.

Remote ML Ops Engineer

Apex Systems

Remote or Johnston, Iowa, USA

Full-time

Job#: 2029742 Job Description: Apex Systems is seeking a Machine Learning Operations Engineer for our Des Moines, IA based client. This role will deploy internal and external/ open-source ML frameworks/models and pipeline in production Kubefarm ensuring seamless functioning of the pipeline. Interested candidates should send their resume to Hunter at Responsibilities Experience in creating and managing production scale Kubernetes clusters, Deep understanding of Kubernetes networkingAn understand

REMOTE AI/ML Curriculum Engineer

Zachary Piper Solutions, LLC

Remote

Full-time

Piper Companies is seeking a Remote AI/ML Curriculum Engineer for a worldwide organization. In this role, you'll partner with the emerging technology team and product managers to continuously expand and develop the company's curriculum . The Remote AI/ML Curriculum Engineer should possess a strong understanding of AI/ML principles and experience developing courses. Responsibilities of the Remote AI/ML Curriculum Engineer include : Collaborate cross-functionally with engineers, data scientists

Product Software Engineer, ML Platform - US Remote

Hugging Face

Remote or New York, New York, USA

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

ML OPs Engineer // Remote

K-Tek Resourcing LLC

Remote

Full-time

Job Title: ML Ops Engineer Location: (Remote) Employee Type: Full Time Summary: We are seeking a highly skilled and experienced MLOps Engineer to join our team in the USA. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect . Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scal

Lead DevOps Engineer ML OPs experience

CC Pace Systems, Inc.

Remote

Contract

The position is fully remote and requires working EST Business Hours. Lead DevOps Engineer The Lead DevOps Engineer oversees and leads the activities of the junior DevOps departments. They are responsible for the automation and configuration management of the business s servers and provides stable environments for delivery of quality. The idea candidate will act as an evangelist and champion the DevOps culture and be the change agent to help to foster a cultural shift in the software delivery pr

Principal Machine Learning Engineer-Generative AI Applications

Excellerent Technology Solutions

Remote

Third Party, Contract

Urgently Looking for Sr. Machine Learning Engineer, Generative AI Applications Required Skills and Qualifications: Minimum of seven years post-secondary education or relevant work experienceBachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.Minimum of five years software development experience with Python and SQL.Minimum of three years experience building pipelines to deploy NLP and deep learning models into production in a

Post-Sales Machine Learning Solutions Engineer - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

HPC Engineer, Machine Learning Infrastructure - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Sr. Machine Learning/AI Engineer (REMOTE)

Fisec Global

Remote or California, USA

Full-time, Part-time, Third Party, Contract

Minimum 5 yrs in given technologies is must What you will do: Design and develop machine learning algorithms and deep learning applications and systems. Possess deep experience in time series prediction models with E-commerce/retail use cases. Solve complex problems using multilayered data sets, including optimizing existing machine learning libraries and frameworks. Identify potential biases in data distribution and mitigate their impact on real-world model performance. Ensure algorithms gener

Software Engineer (L4), Consumer ML Model Compute /6 Serving Systems

Netflix, Inc.

Remote

Full-time

Netflix is the world's leading streaming entertainment service, with over 230 million paid memberships in over 190 countries, enjoying TV series, documentaries, and feature films across various genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen. Machine Learning/Artificial Intelligence powers numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying an