AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions. If you like a challenging environment where you re working with the best and are encouraged to learn and experiment every day, there s no better place guaranteed! <>What you will doIngest, structure, and analyze a wide range of unstructured data sources;De

Job Title: Senior Machine Learning Engineer Location: Washington DC (Remote) Employment Type: C2C Experience Level: 10+ Years (Overall) Client: Federal Project Eligibility: Must have at least 2 years of stay in the U.S. Technology Stack: AWS SageMaker Studio, Python, PyTorch, OCR,TensorFlow, TF-IDF, OpenCV Good to have: AutoGluon and Microsoft DiT (Document Image Transformer) Key Responsibilities: Maintain, optimize, and enhance existing document and image processing systems for code predictio

About the team The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use advanced AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing a proactive, always- on assistant with cutting-edge speech recognition, natural language understanding, and dynamic dialogue orchestration. By embedding domain knowledge and specialized expertise in these assistants, we empowe

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: At Airbnb, we want to build a world where anyone can belong anywhere - and the first step in that direction

Lead Machine Learning Engineer, Shopping - Feed (Remote) Interested in joining a dynamic remote first engineering team in a fast-paced environment full of greenfield problem-solving? Then Capital One Shopping might be the place for you. Join us in supporting a growth-stage line of business with a startup mindset as we build technology to save our customers money. As a Capital One Machine Learning Engineer (MLE), you'll be part of a fast moving, highly collaborative Agile team dedicated to produ

About the team The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use advanced AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing a proactive, always- on assistant with cutting-edge speech recognition, natural language understanding, and dynamic dialogue orchestration. By embedding domain knowledge and specialized expertise in these assistants, we empower

RESPONSIBILITIES: Kforce has a client that is seeking a fully remote Machine Learning Engineer to join their team. Summary: This candidate will be primarily working on machine learning enablement, with the goal of helping them accelerate their machine learning projects/applications. In this role, you will be assisting other teams for MLOps projects to deliver an end-to-end production ready ML model pipeline for deep learning and non-representation-based ml model using Vertex AI, MLFLOW, TensorF

Job role: Senior ML Platform Engineer (Serving Infrastructure) Location: Remote Duration: Long term Role Overview: We're looking for an experienced engineer to build our ML serving infrastructure. You'll create the platforms and systems that enable reliable, scalable model deployment and inference. This role focuses on the runtime infrastructure that powers our production ML capabilities. Key Responsibilities: Design and implement scalable model serving platforms for both batch and real-time in

Job Title: Machine Learning Engineer (Google Vertex AI Specialist) Type: Contract Duration: 6+ Months Location: Complete Remote Role Overview: We are seeking experienced Machine Learning Engineers specializing in Google Vertex AI to join our team. The successful candidates will be integral in supporting machine learning initiatives, including critical platform migrations, model deployment, and optimization tasks. Key Responsibilities: Lead and support the migration and deployment of machine lear

RESPONSIBILITIES: Kforce has a client in Cincinnati, OH that is seeking an AI/ML Engineer. Responsibilities: * Lead technical ML projects spanning months * Foster a collaborative team environment, promoting growth among junior members * Utilize patterns, frameworks, and tools for automating and deploying ML solutions * Develop tools and processes to monitor and analyze model performance and data accuracy * Collaborate with researchers to optimize and scale ML solutions using DevOps and MLOps be

RESPONSIBILITIES: Kforce has a client that is seeking a Senior Software Engineer, Machine Learning in Brooklyn, NY. About The Team: The Risk Decisioning team keeps Company a safe and trusted marketplace by building advanced and scalable ML technologies to detect and prevent risk and fraud. We currently have 8 Engineers on the team, with a mix of ML Engineers, Applied Scientists, and Full Stack Engineers. About The Role: We are looking for someone who is passionate about applying ML to deliver

Roles and ResponsibilitiesDevelop and implement backend solutions integrating AI capabilities. -Collaborate with the R&D team to iterate on new AI features.Ensure seamless deployment of AI-powered functionalities.Optimize API design for microservices and distributed systems.Job Requirements5-10 years of experience (strong Master s program graduates or professionals with relevant experience). -Strong understanding of backend development, distributed system architecture, and API design.Experience

Role: ML Data Infrastructure Engineer Location: Sunnyvale, CA OPEN FOR 100% REMOTE Duration: 12 Months Candidates should have strong experience in Deep Leaning ML frameworks and model serving technologies which is lacking in most of the resumes. JD: 8+ years of software engineering experience, with 3+ years in ML serving/infrastructure\ Strong expertise in container orchestration (Kubernetes) and cloud platforms Experience with model serving technologies (TensorFlow Serving, Triton, KServe) Deep

NoteW2 only Role: ML Engineer with Microsoft DIT Location: Remote Duration: Long Term ContractNo Positions: 2 Mandatory Skills: Machine learning Python R Language Microsoft DIT

Title: Senior AI Engineer (ML/GenAI) Location : Remote Target Start Date : 3-4 weeks Type: (C, CTH, D) - CTH Pay Rate / Salary (Ranges OK) : Hourly Rate - $100-$110/hr - Salary around $160-$170k **THESE ARE FOCUSED ON CTH - PLEASE DO NOT SEND CANDIDATES THAT WOULDN'T BE INTERSTED AND ELIGIBLE TO CONVERT IN 3-6 MONTHS Selling Point on Client - Our client is investing heavily into building our their product space by leveraging ML/AI. They are expanding these teams signifiacntly and expect to p

Gridiron IT is seeking a ML Engineer to support a federal project in Mclean, VA. We are looking for seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Collaborate with cross-functional teams to design and de

Who are we? Photon has emerged as one of the world s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. For a brief 1 minute video about us, you can check Machine Learning Engineer (Infrastructure) Mountain View, CA Description: Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infras

We are looking for a Senior Machine Learning Engineer to join our team and drive the development of advanced AI-driven solutions. You will be responsible for designing, deploying, and optimizing machine learning models that power real-world applications. This role requires deep expertise in model architecture, data engineering, MLOps, and production-scale AI systems. What you'll do:Design, develop, and deploy scalable, production-ready machine learning models for real-world applications.Architec

Position: Machine Learning AI Engineer Duration: 12+ Months Location: Remote Must Haves Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.Strong project experience with Amazon Web Services and Cloudera Data Platform is must.4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive,4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.Strong experience with REST API deve

AI/ML Engineer - Remote As an AI/ML Engineer, you will play a crucial role designing, building, and deploying machine learning models and AI-powered systems that help drive better decision-making across our platform. As a key strategic investment for the company and product, you will be working on highly impactful and visible outcomes similar to the AI Assistant we recently released. You will work closely with a multidisciplinary, agile team to identify key problems, design AI/ML solutions, pr