Machine learning engineer • usa
We are seeking a Senior ML Engineer to join our team of dedicated machine learning and software engineers.This role involves timely engineering, system development, ML model assessment, constructin...[internal_linking.show_more]
No Relocation Assistance Offered.Job Number #171680 - New York, New York, United States.Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing ...[internal_linking.show_more]
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...[internal_linking.show_more]
DIRECT IN-PERSON INTERVIEW REQUIRED!.Philadelphia, PA OR Washington, DC (100% Onsite).Design and validate ML models that support engineering tooling teams.Enhance existing AIML automation tools (e....[internal_linking.show_more]
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 ...[internal_linking.show_more]
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 ...[internal_linking.show_more]
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...[internal_linking.show_more]
Pittsburgh, Pennsylvania (On-site).We are seeking a highly skilled professional to drive continuous support of production AI models while collaborating closely with a large team of data scientists ...[internal_linking.show_more]
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...[internal_linking.show_more]
Job Title: Machine Learning Engineer.Location: Portland, OR - Onsite (Local only / F2F interview).Experience Level: 5+ years of experience.Bachelor’s or master’s degree in computer science, Machine...[internal_linking.show_more]
Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.Design and implement Mach...[internal_linking.show_more]
Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field?.Do you thrive in a collaborative...[internal_linking.show_more]
Our client, a major insurance and financial services institution, is seeking a Machine Learning Engineer to support the development and delivery of data-driven solutions across key initiatives.The ...[internal_linking.show_more]
We are seeking a highly skilled and motivated Machine Learning Engineer to join our innovative technology team.The ideal candidate will have a strong foundation in machine learning, spatial statist...[internal_linking.show_more]
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...[internal_linking.show_more]
Remote World was founded in 2023 with a simple belief: the future of work is remote, and everyone should have access to quality remote opportunities regardless of their location.We noticed that whi...[internal_linking.show_more]
Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.Building your career? Build it better at.Machine Learning Engineer at (View all jobs) (.A...[internal_linking.show_more]
In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems.You’ll work closely with our engineering team to transform raw dat...[internal_linking.show_more]
Description
We are seeking a Senior ML Engineer to join our team of dedicated machine learning and software engineers. This role involves timely engineering, system development, ML model assessment, constructing data pipelines, composing prototypes, evaluation, operationalization.
Looking for individuals skilled in classical and deep learning, able to build and implement ML solutions for production environments. If you thrive on delivering innovative customer features, adopting new technologies, and contributing to high-visibility projects, this role may be a good match. The atmosphere is dynamic, fast-paced, creative, collaborative, and data-centric.
What you’ll do
Contribute to the backend services supporting ML and Generative-AI functionalities.
Build, develop, implement, and evaluate machine learning models using classical and deep learning approaches, as well as GenAI.
Collaborate with cross-functional teams to integrate ML solutions into existing products and services.
Analyze and improve efficiency, accuracy, scalability, and stability of AI-enabled workflows.
Stay current with the latest advancements in ML and AI technologies.
Guide and support junior team members to aid in the overall development of the ML team.
What you need to succeed
Required Qualifications:
Completed a degree in Computer Science, Machine Learning, or a related field.
5+ years of experience in machine learning engineering roles.
Strong software engineering skills, including version control, code review, and CI/CD practices.
Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Sagemaker.
Experience in developing and deploying ML models in production environments.
Familiarity with cloud platforms (, AWS, GCP, Azure) for ML deployment.
Strong understanding of data structures, algorithms, and system development.
Strong leadership and team-building skills.
Excellent communication and presentation skills.
Familiarity with Generative AI technologies and applications is advantageous.
Familiarity with Retrieval-Augmented Generation (RAG) and other contemporary NLP methods is advantageous.
Having experience with MLOps practices and tools is advantageous.
Having a background in Recommendation Systems is advantageous.
