Machine Learning Engineer in Texas

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Senior Machine Learning Engineer

Accellor

Dallas, texas

At Accellor, we are a trusted consulting partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail verticals.

We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.

About the Role

We are looking for a skilled Machine Learning Engineer to join our team! This role focuses on scaling machine learning systems and building innovative applications using Generative AI. As part of a...

Full-time

Quantum Machine Learning Engineer (The Quantum AI Trailblazer)

Unreal Gigs

Austin, texas

Are you passionate about merging quantum computing and artificial intelligence to solve problems that classical systems can’t? Do you excel at creating innovative machine learning algorithms designed for quantum systems, unlocking new possibilities in optimization, predictive modeling, and data analysis? If you’re ready to pioneer quantum-enhanced AI, our client has the perfect opportunity for you. We’re seeking a Quantum Machine Learning Engineer (aka The Quantum AI Trailblazer) to develop and implement cutting-edge quantum machine learning (QML) algorithms that redefine the future of AI.

As a Quantum Machine Learning Engineer at our client, you’ll collaborate with quantum physicists, AI researchers, and software developers to build hybrid quantum-classical systems that harness the power of quantum computing for advanced machine learning applications. Your expertise in quantum programming, machine learning, and optimization...

Full-time

Machine Learning Engineer (Robotics) (The Intelligent Automation Specialist)

Unreal Gigs

Austin, texas

Are you passionate about applying machine learning to robotics to enable intelligent, autonomous behavior? Do you excel at building and optimizing algorithms that empower robots to learn, adapt, and perform complex tasks? If you’re ready to create the brains behind robotic systems, our client has the ideal role for you. We’re looking for a Machine Learning Engineer (Robotics) (aka The Intelligent Automation Specialist) to develop and implement machine learning models that advance the capabilities of robotic systems.

As a Machine Learning Engineer in Robotics at our client, you’ll collaborate with robotics, software, and data teams to design algorithms that enhance navigation, perception, and decision-making in real-world environments. Your work will be central in creating robots that learn from their environments, react to changing conditions, and continuously improve.

Key Responsibilities:

...

Full-time

Machine Learning Engineer (The AI Innovator)

Unreal Gigs

Austin, texas

Are you passionate about designing, building, and maintaining data pipelines that support robust data architectures and facilitate seamless data flow? Do you excel in creating scalable solutions that empower data-driven decision-making? If you’re ready to develop and optimize data systems that drive impactful analytics, our client has the perfect role for you. We’re seeking a Data Engineer (aka The Data Pipeline Architect) to build and manage cloud-based data infrastructures that support analytical needs and operational efficiencies.

As a Data Engineer at our client, you’ll collaborate with data scientists, analysts, and software engineers to construct data pipelines and storage solutions that are both efficient and secure. Your role will be critical in ensuring data systems are optimized for performance, reliability, and scalability.

Key Responsibilities:

Design and Implement...

Full-time
MLOps Engineer (Machine Learning Operations Engineer)
Unreal Gigs
Austin, texas
Are you passionate about bringing the best of machine learning and DevOps together to create reliable, scalable, and efficient AI systems? Do you thrive on automating machine learning pipelines, deploying models at scale, and ensuring that AI solutions deliver value in production environments? If you’re excited about optimizing the entire machine learning lifecycle—from development to deployment and beyond—then our client has the perfect opportunity for you. We’re looking for an MLOps Engineer (aka The AI Infrastructure Maestro) to design, automate, and manage robust machine learning pipelines that power the next generation of AI-driven products.
As an MLOps Engineer at our client, you’ll be the glue that connects data scientists, machine learning engineers, and operations teams, ensuring that machine learning models are efficiently deployed, monitored, and maintained. You’ll lead efforts to create scalable infrastructure for...

Full-time
Machine Learning Engineer (The AI Innovator)
Unreal Gigs
Austin, texas
Are you an AI enthusiast with a passion for applying cutting-edge machine learning techniques to solve real-world problems? Do you thrive in environments where you can build intelligent models that drive data-driven decisions and power innovative products? If you’re excited about using machine learning to develop and deploy scalable solutions that make an impact, then our client has the perfect role for you. We’re looking for a Machine Learning Engineer (aka The AI Innovator) to design, implement, and optimize machine learning models that unlock the potential of data.
As a Machine Learning Engineer at our client, you’ll work closely with cross-functional teams to develop intelligent algorithms, process large datasets, and deploy machine learning models that enhance product functionality. Whether it’s building recommendation engines, predictive models, or optimizing existing systems, you’ll be at the forefront of AI...

Full-time
Senior Machine Learning Engineer
Senseye
Austin, texas
Knowledge and experience with a wide variety of machine learning and statistical models, applying these tools to computer vision and tabular problems. Computer vision, in particular, is a foundational activity at Senseye. We are most interested in candidates with a strong computer vision background who will bring new ideas and help us solve some of our hardest challenges. You are comfortable making additions to existing production code based on modeling needs and updates. You understand the unique challenges of modeling compared to software development and have balanced these needs in past projects. You have experience defining modeling problems, preparing data through analysis, wrangling, cleaning, training and testing statistical and machine learning models. You understand the difference between a test score in model building and actual product performance and know how to design processes to quantify this. You are curious, dedicated to learning and improvement, and have no...

Full-time
Machine Learning Engineer
Tiger Analytics
Dallas, texas
Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions

Creating Scalable Machine Learning systems that are highly performant

Building reusable production data pipelines for implemented machine learning models

Writing production-quality code and libraries that can be packaged as...

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