... machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. By leveraging Kubeflow for orchestration and Langfuse for LLM observability, you will ensure that our AI systems are not only ...
... machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. By leveraging Kubeflow for orchestration and Langfuse for LLM observability, you will ensure that our AI systems are not only ...
... validation through production deployment, monitoring, and retirement. Define architectural patterns and best practices for model versioning, reproducibility, model registries, automated testing, deployment pipelines, A/B testing, and model retraining workflows. Ensure solutions align with enterprise model governance standards, ...
... business partners to identify problems and propose machine learning solutions - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance - Work proactively with engineering teams and product managers to evangelize new algorithms and drive the ...
... learning engineering, and architectural https://jobeax.com/link/kJ8uz9xlHwR21fnJ will be responsible for driving AI initiatives end-to-end-from problem framing and model design to deployment and scaling in regulated environments. The ideal candidate brings practical experience in building AI/ML systems, combined with the ability ...
... assignment, and collections. Familiarity with gen-AI techniques for feature creation and transaction tagging on bank transactional data is a plus. - Credit Risk Modeling: Build credit risk models for sub-prime and near-prime customers in a fintech environment with short model build cycles. - Fraud & Risk Defense: Design and ...
... to work with cutting-edge AI and machine learning projects. As a Research Analyst, you will play a crucial role in enhancing the performance of large language models by providing analytical insights, validating content, and assisting in model fine-tuning processes. Your work will involve analyzing complex data, breaking ...
... software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., ...
... models.- Develop innovative algorithms and techniques to push the boundaries of generative AI.- Collaborate with interdisciplinary teams to apply generative models in various domains such as healthcare, finance, Power & utility, manufacturing and supply chain.- Design, develop, and deploy generative AI models for complex ...
... monitoring, and continuous https://jobeax.com/link/DSIzEdlSdYYY1NeN role guides client Sensors from a dashboard-oriented data culture toward an AI-first operating model where data products are managed as enterprise assets, not one-off project https://jobeax.com/link/PaQugBgSfsV9AwNb Responsibilities : AI Data Product Strategy ...
... maintain scalable automation frameworks using Playwright and Python to validate complex SaaS workflows and UI components.- Develop specialized test suites for AI/ML models to evaluate model accuracy, bias, and performance, ensuring our intelligent features meet rigorous production standards.- Collaborate with cross-functional ...
... Architects, Engineering, and Product teams. Ensure seamless integration of AI solutions. Enable and support customers in building their own applications. Data & Model Management Oversee the entire AI project lifecycle. Start from data preprocessing and model development. Finish with deployment, monitoring, and optimization. ...
... Cloud. This includes a unified RBAC/ReBAC service, token issuance and session handling, and the SDKs that product teams embed to make authorization decision. - Model permissions and access control primitives (resources, roles, relationships, policies) that work across ClickHouse, SQL Console, ClickPipes, and HyperDX. Ship ...
... Automation framework design. - Experience with BDD/Cucumber. - Experience building Agentic Testing Platforms or Autonomous Testing Solutions - Knowledge of MCP (Model Context Protocol) and AI agent orchestration frameworks - AI focused SDET with deep understanding of LLM’s, RAG , Vector DB , Prompt Engineering, Python . - ...
... skills, instead of their audience - to help add passive earnings Designing an experience that curious minds and brands will happily pay for Designing a sustainable model for creators, thinkers, and storytellers to share their work, and an experience that keeps them professionally engaged Visualizing the complete brand identity ...
... FICO, and https://jobeax.com/link/nUacpSVNoNM31SGD Stack :- SAP BRIM, SAP S/4 HANA, ABAP, OData, CDS Views, AMDP, Fiori, Webservices (REST/SOAP).Requirements :- Strong analytical and troubleshooting skills.- Individual contributor with mentoring capabilities.- Agile working model experience is a plus. (ref:hirist.tech)
... Expertise in Apex, Visualforce, Lightning components, and Implementing Salesforce Integrations. Have a good knowledge of Epicor CPQ set up, Understand the data models and experienced in atleast one project with Salesforce and Epicor integration In-depth understanding of Salesforce data model, security model, and sharing rules, ...
... engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. Familiarity with Siebel Complex assets data model.