MLOps engineer
Design and implement cloud-based MLOps solutions and CI/CD pipelines using tools like GitLab CI and Airflow. Responsible for the refactoring, containerization, deployment, and monitoring of data science models.
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Design and implement cloud-based MLOps solutions and CI/CD pipelines using tools like GitLab CI and Airflow. Responsible for the refactoring, containerization, deployment, and monitoring of data science models.
Lead technical pre-sales activities by shaping, scoping, and solutioning Mulesoft and Salesforce implementations for strategic clients. Act as a trusted technical advisor to align customer business objectives with technical implementation roadmaps and professional services.
Lead technical initiatives and architectural decisions to build scalable software systems and AI-powered capabilities. Mentor engineers and collaborate with stakeholders to align technical delivery with business goals and value stream objectives.
Lead the data science roadmap across consumer experience, delivery intelligence, and advertising monetization. This hands-on role involves architecting ML solutions and managing a team of scientists to drive measurable business outcomes.
Develop and implement Guidance, Navigation, and Control (GNC) designs for satellite systems, including sensors, actuators, and flight software. Support the full development lifecycle from requirements definition through operations and simulation development.
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Lead and develop a team of engineers responsible for AWS cloud foundations and the Kubernetes platform. Set technical priorities to ensure infrastructure is scalable, secure, and cost-effective while partnering with Security and Platform leadership.
Lead the design and implementation of scalable, secure enterprise integration solutions across applications and data platforms. Establish architecture standards for event-driven communication, API governance, and real-time data synchronization.
Lead and develop a team of engineers responsible for AWS cloud foundations and the Kubernetes platform. Set technical priorities to ensure infrastructure is scalable, secure, resilient, and cost-effective.
Design, implement, and maintain secure enterprise network infrastructure across offices, manufacturing facilities, and cloud environments. Ensure high availability and security through network segmentation, firewall management, and collaboration with cybersecurity and cloud teams.
The Payroll Administrator is responsible for processing payroll transactions, auditing data, and ensuring compliance with federal, state, and local regulations. They also resolve employee inquiries and partner with HR and Finance to maintain accurate payroll records and operational efficiency.
Lead end-to-end customer deployments of AI solutions in the APAC region to drive measurable business outcomes. Act as the primary bridge between technical AI initiatives and real-world adoption for enterprise customers.
The Customer Engineer designs, builds, and deploys AI applications using Cresta SDKs and APIs to integrate with contact center platforms. They collaborate with Customer Success and Engineering teams to resolve technical issues and drive value for enterprise customers.
Design and maintain scalable AWS infrastructure using Terraform while managing the observability stack and CI/CD pipelines. Partner with security teams to maintain PCI DSS compliance and lead incident response for payment-critical services.
Design and maintain AI-augmented automation pipelines and SOAR playbooks to triage and respond to security alerts at machine speed. Collaborate with AI/ML and DevSecOps teams to integrate security tools and ensure the reliability of AI-driven decisions.
Lead electrical substation protection and control design projects, including creating design documents, schematics, and relay settings. Coordinate technical activities with clients and project managers while providing guidance to entry-level engineers.
Provide strategic, project-based leadership for AI initiatives, automation, and digital transformation for alternative investment clients. This includes developing AI roadmaps, evaluating tools, and driving organizational adoption across investment and operational functions.
The role focuses on identifying high-impact AI use cases and driving the adoption of Generative AI and agentic technologies across the enterprise. This includes designing training programs, configuring AI workflows, and ensuring solutions meet security and compliance standards.
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The role focuses on hunting and closing complex, multi-stakeholder enterprise deals ranging from $250K to $5M+. Responsibilities include building a pipeline from scratch and partnering with architects to deliver AI, data, and cloud engineering solutions.
Drive end-to-end sales cycles to close six- and seven-figure AI transformation deals within the ecommerce and BFSI sectors. Build a robust pipeline from scratch and partner with technical teams to design strategic AI solutions for C-level executives.
The Account Engineer drives technical success and platform adoption for new and early-stage customers on the Snowflake AI Data Cloud. This involves providing architectural guidance, managing technical enablement, and leveraging AI tools to accelerate customer time-to-value.
Build and maintain the consumer-facing web application using React, TypeScript, and Next.js. Collaborate with design and product teams to translate complex financial logic into accessible and intuitive user interfaces.
Own the end-to-end product lifecycle for AI-driven capabilities from discovery to user adoption. Lead business requirement gathering and provide functional leadership to cross-functional delivery teams including data scientists and engineers.
The analyst will verify configured OneStream functionality through test planning, execution, and defect tracking across SIT and UAT phases. They will collaborate with developers and stakeholders to ensure the solution supports federal finance processes and reporting requirements.
The role involves transforming complex healthcare data into reports, dashboards, and decision-support tools to drive informed decision-making. Responsibilities include cleansing and processing data and collaborating with subject matter experts to design impactful operational solutions.
Define and own the enterprise AI architecture for retail use cases, focusing on open-source-first design and scalable AI blueprints. Lead the implementation of AI observability, security frameworks, and MLOps practices to ensure production-ready AI systems.
Transform AI prototypes and early-stage builds into scalable, secure, and production-ready enterprise applications. Partner with Product Managers to design, build, and deploy end-to-end AI solutions across various business lines.
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Design and implement secure automation solutions for development, testing, and production environments. Manage CI/CD pipelines and coordinate with sponsors to identify risks and design project-level solutions.
Design and implement secure automation solutions for development, testing, and production environments. Manage CI/CD pipelines and coordinate with sponsors to identify risks and design project-level solutions.
Design and maintain secure, scalable AWS and Kubernetes infrastructure while hardening production systems across multiple layers. Collaborate with engineering teams to improve CI/CD pipelines and support compliance audits and vulnerability remediation.
The Solutions Architect serves as the technical authority for designing and validating digital engineering workflows that integrate various tools and data models. They lead discovery sessions, deliver tailored technical demos, and partner with sales to align platform capabilities with mission-critical needs.
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