Euless Architects Job Listings

Workable

ML Ops Architect

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a motivated and passionate Machine Learning Engineers for our team. Job Description: As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you. Requirements What you'll do in the role: Implement scalable and reliable systems leveraging cloud-based architectures, technologies and platforms to handle model inference at scale. Deploy and manage machine learning & data pipelines in production environments. Work on containerization and orchestration solutions for model deployment. Participate in fast iteration cycles, adapting to evolving project requirements. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Leverage CICD best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment. Manage and monitor machine learning infrastructure, ensuring high availability and performance. Implement robust monitoring and logging solutions for tracking model performance and system health. Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner. Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations. Collaborate with platform engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization. Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices. Basic Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python. At least 3 years of experience designing and building data-intensive solutions using distributed computing. At least 3 years of experience productionizing, monitoring, and maintaining models Must have skills: Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor, etc. Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform. Experience in developing and maintaining APIs (e.g.: REST). Experience specifying infrastructure and Infrastructure as a code (e.g.: Ansible, Terraform). Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance. Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, DataBricks, Github, MLFlow, Airflow). Expertise in Unix Shell scripting and dependency-driven job schedulers. Understanding of security and compliance requirements in ML infrastructure. Experience with visualization technologies (e.g.: RShiny, Streamlit, Python DASH, Tableau, PowerBI). Familiarity with data privacy standards, methodologies, and best practices. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Dallas, TX, USA

Negotiable Salary

Senior Data Architect / W2 Contract63392002959361121

Workable

Senior Data Architect / W2 Contract

Role: Senior Data Architect Work location: Bellevue WA / Atlanta GA / Dallas TX / Overland Park KS (Onsite) Position Type: W2 Contract Job Description: Job Summary: We are seeking an experienced and strategic Solution Architect with expertise in cloud technologies to design and implement scalable, secure, and efficient cloud solutions. The ideal candidate will collaborate with stakeholders, engineering teams, and product owners to architect cloud solutions that meet business needs while ensuring performance, cost-effectiveness, and security. Key Responsibilities: - Design and implement cloud architecture solutions that align with business objectives and technical requirements. - Collaborate with stakeholders to gather technical requirements and translate them into scalable cloud solutions. - Provide guidance on cloud adoption strategies, migration plans, and integration processes. - Develop and manage cloud-based infrastructure using platforms like AWS, Azure, or Google Cloud Platform (GCP). - Implement best practices for cloud security, performance optimization, and cost management. - Lead the design and deployment of containerized solutions using tools such as Docker and Kubernetes. - Establish and enforce cloud governance, monitoring, and automation frameworks. - Conduct architectural reviews to ensure solutions meet industry standards, scalability, and security requirements. - Mentor development teams in cloud-native design principles and best practices. - Document architecture designs, standards, and operational procedures for future reference. Required Qualifications: - Experience in designing and implementing cloud solutions. - Expertise in cloud platforms such as AWS, Azure, or GCP. - Strong experience with cloud infrastructure tools like Terraform, CloudFormation, or ARM Templates. - Proficiency in scripting languages such as Python, PowerShell, or Bash. - Hands-on experience with CI/CD pipelines, DevOps practices, and automation tools. - Deep understanding of networking, security protocols, and identity management in cloud environments. - Strong communication and leadership skills with the ability to work across teams. Preferred Skills: - Cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect. - Experience with serverless computing frameworks like AWS Lambda, Azure Functions, or Google Cloud Functions. - Familiarity with data architecture, analytics, and cloud-native database solutions. - Experience in microservices architecture and API management."

Dallas, TX, USA

Negotiable Salary

Senior Solution Architect- DP63499805693827122

Workable

Senior Solution Architect- DP

Job Title: Senior Solution Architect- DP Job Summary: We are seeking an experienced and strategic Solution Architect with expertise in cloud technologies to design and implement scalable, secure, and efficient cloud solutions. The ideal candidate will collaborate with stakeholders, engineering teams, and product owners to architect cloud solutions that meet business needs while ensuring performance, cost-effectiveness, and security. Key Responsibilities: - Design and implement cloud architecture solutions that align with business objectives and technical requirements. - Collaborate with stakeholders to gather technical requirements and translate them into scalable cloud solutions. - Provide guidance on cloud adoption strategies, migration plans, and integration processes. - Develop and manage cloud-based infrastructure using platforms like AWS, Azure, or Google Cloud Platform (GCP). - Implement best practices for cloud security, performance optimization, and cost management. - Lead the design and deployment of containerized solutions using tools such as Docker and Kubernetes. - Establish and enforce cloud governance, monitoring, and automation frameworks. - Conduct architectural reviews to ensure solutions meet industry standards, scalability, and security requirements. - Mentor development teams in cloud-native design principles and best practices. - Document architecture designs, standards, and operational procedures for future reference. Required Qualifications: - Experience related to Data Platform - Experience in designing and implementing cloud solutions. - Expertise in cloud platforms such as AWS, Azure, or GCP. - Strong experience with cloud infrastructure tools like Terraform, CloudFormation, or ARM Templates. - Proficiency in scripting languages such as Python, PowerShell, or Bash. - Hands-on experience with CI/CD pipelines, DevOps practices, and automation tools. - Deep understanding of networking, security protocols, and identity management in cloud environments. - Strong communication and leadership skills with the ability to work across teams. Preferred Skills: - Cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect. - Experience with serverless computing frameworks like AWS Lambda, Azure Functions, or Google Cloud Functions. - Familiarity with data architecture, analytics, and cloud-native database solutions. - Experience in microservices architecture and API management."

Frisco, TX, USA

Negotiable Salary

UiPath Automation Architect63499907852161123

Workable

UiPath Automation Architect

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you. We are seeking a talented and experienced Architect with expertise in Azure, UiPath, and RPA to join our dynamic team. As an Automation Architect, you will play a crucial role in designing, implementing, and optimizing solutions that leverage Azure cloud services, UiPath automation platform, and RPA technologies to drive digital transformation and enhance operational efficiency. Requirements Key Responsibilities: Collaborate with stakeholders to understand business requirements and design scalable architecture solutions using Azure services. Lead the implementation of UiPath automation projects, including process analysis, design, development, testing, and deployment. Utilize RPA knowledge to automate repetitive tasks and streamline business processes. Provide technical guidance and mentorship to development teams on best practices for Azure, UiPath, and RPA implementation. Conduct regular reviews of architecture designs to ensure alignment with industry standards and best practices. Stay current with emerging technologies in Azure, UiPath, and RPA to drive innovation within the organization. Qualifications: Bachelor's degree in Computer Science or related field; Master's degree preferred. Proven experience as an Architect working with Azure cloud services. Strong expertise in UiPath automation platform and RPA technologies. Excellent problem-solving skills and ability to think strategically about technology solutions. Strong communication skills with the ability to effectively collaborate with cross-functional teams. Relevant certifications in Azure, UiPath, or RPA are a plus. Join us in shaping the future of digital transformation through innovative solutions built on Azure, UiPath, and RPA technologies. If you are passionate about architecture design and have a strong technical background in these areas, we would love to hear from you. Apply now to be part of our dynamic team! Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Richardson, TX, USA

Negotiable Salary