Job Description Develop and implement techniques or analytic applications to transform raw data into meaningful information for driverless technology company. Duties may include: Exploring, prototyping, validating, and iterating new algorithms. Driving efforts to optimize, supervise and refine on-road performance for models on the path to production. Act as a technical leaders within the department who guides current and future technology choices. Enable others engineers on the team to be more e
Job Description Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Duties may include: Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts to optimize, supervise and refine on-road performance for models in production. Be considered one of the technical leaders of the department who guides current and future technology choices. Consider the business and operational impact for different technology trad
Job Description Research, design, develop and test robotic and machine learning applications for driverless technology company. Duties may include: Design and develop vehicle path planning algorithms. Research, implement, evaluate, and deploying deep-learning based methods for planning for autonomous vehicles. Design and develop complex, highly scalable, and latency optimized software. Improve and deliver reliable software through continuous integration, automated testing and code reviews. May t
Job Description Research, design, develop and test robotic and machine learning applications for an AV company. Duties may include: Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. Formulate problem statements specific to autonomous operations and design innovative solutions to address them. Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and
**REMOTE - Must be local to Orlando, FL | Bilingual (English/Spanish) preferred | AI/ML Experience is a must** Our Client's new AI Center of Excellence is building a lean, impact-driven team to weave best-in-class AI chatbots, adaptive-learning engines, analytics into every corner of our academic and administrative ecosystem. If you love turning cutting-edge SaaS platforms into secure, FERPA-compliant services that faculty, staff, and students actually use, we want to meet you. Qualifications: F
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Director, Data Scient
One of our staffing partners is looking for one of its clients a Machine Learning Engineer with strong data engineering skills to help bridge the gap between raw data and intelligent decision-making. Role Overview: You ll be responsible for designing, developing, and deploying machine learning models while also building and maintaining the data infrastructure that powers them. This hybrid role is perfect for someone who thrives at the intersection of ML and data engineering. Key Responsibilities
Job Description Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View , you are expected to report to that location three times a week, at minimum. Role: The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonom o
Job Description Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View , you are expected to report to that location three times a week, at minimum. Role: The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonom o
Position: ML Ops Engineer (AWS GovCloud Databricks) Duration: 12+ months contract Location: Charlotte, NC (100% remote) JOB DESCRIPTION SKILLS NEEDED : Bachelor's degree in computer science, Engineering, Applied Mathematics or related field4 to 6 years of strong experience with AWS Gov Cloud environments, Export Control FedRAMP environmentsOverall 8 to 10 years of solid experience in the areas of data engineering, machine learning data science4 to 6 years of strong experience with the following
What You'll DoArchitect and implement Cora s core AI agent framework and orchestration logic Build advanced Retrieval-Augmented Generation (RAG) pipelines for enterprise-scale data Develop contextual memory and knowledge graph systems that learn and evolve over time Create robust AI observability and quality assurance systems Develop predictive models to assess customer health, churn risk, and growth signals Implement sentiment analysis and intent detection modules Design intelligent feedback lo
Location: Chandler, AZ Salary: Depends on Experience Description: Our client is currently seeking a skilled AI/ML Software Engineer to support their Information Security applications within the organization. This job will have the following responsibilities: You will utilize your strong AI capabilities and GenAI knowledge in order to automate and be more productive new foundation models. Qualifications & Requirements: GenAI experienceService development with Java, C#, or PythonService orch
Job Title: AI / ML Engineer - (Only W2) Location: Phoenix Onsite Experience: 9 + Years. Preferred: (W2 / 1099) Duration: Long Term. Job DescriptionWe are looking for an expert in AI / Machine Learning Engineer. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. ResponsibilitiesUnde
Job Title: AI/ML Engineer Location: Phoenix, AZ( Onsite) Experience Level: 8+ years Job Type: Contract Job Description: We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML a
Overall experience of at least 12+ years is needed Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage. Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms. Experience implementing and supporting end-to-end Machine Learning workflows and patterns. Expert level programming skills in Python and experience with Data Science and ML packages and frameworks. Proficiency with containerization techno
Description W2 only / hybrid in Phoenix (3 days onsite per week) - open to candidates who will relocate Client: Fortune 50 company within the financial services domain. Projects Supporting: This person will be joining the Enterprise AI/ML org, specifically the AI Services team. This team helps use and optimize AI & ML for the document process (recognizing, classifying, extracting data, etc). Day to Day Duties: The Machine Learning engineer will be responsible for deploying models, ensuring mo
Core skills 8+ years experience in Machine learning specially in productionized models3 years of implementation experience as a customer facing consultantNLP experience and infrastructure management skills- dockers/ pipeline management-LLMs -application through productionSetup DBDEMOS -RAG Models or experience with Databricks RAGS- ML practice team coding assignmentNeed people with Deep ML Production level experience. Example profiles are: - Deep physics, math, engineering - Production level ML
Role: Sr AI/ML Architect Location: 100 % Remote Duration: 12+ Months Reports to: Director of AI and Analytics Engineering About the Role We are seeking a highly skilled Solutions Architect to support the buildout and evolution of our AI and Analytics Engineering platform, with a strong emphasis on Databricks, Mosaic AI, and enterprise-scale data systems.In this role, you will contribute to the design and implementation of scalable, maintainable, and interoperable AI and analytics solutions that
Job Title - AI/ML Developer (No data Scientist- Its a developer role) Location - Remote Duration - 12+ Months 11+ years of experience required Experience in developing code in Python and TypeScript is needed, with an understanding of Gen AI Job Summary: We are seeking an experienced AI/ML Developer to join our client team. The ideal candidate will create, code, deploy, optimize, and manage machine learning models and AI solutions hosted on the Azure platform. This includes integrating OpenAI mod
: -- . . ML Ops Engineer 6 Months (Contract to Hire) 100% Remote - Eastern Time (Candidate must be based in the USA) Top Skills (Good mix required, not all): Stakeholder collaboration (technical, product, business, vendors) ML Ops/AI tools: Jupyter, MLFlow, Nvidia Global Catalog (NGC), RunAI Docker, Slurm, Python, Conda Highly Desired: Cloud (Azure or Google Cloud Platform) Kubernetes PyTorch, torchrun, TorchX
