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This is an apprenticeship role for a Data Scientist/AI Engineer to develop machine learning models and predictive solutions within a financial risk department. The position involves the full data science lifecycle, from data exploration and feature engineering to model deployment and monitoring.
Build and maintain scalable AI-powered applications and data pipelines for SME clients, collaborating with cross-functional teams.
As a Senior Data Engineer, you will design, build, and optimize scalable data and ML platforms for clients in the financial and public sectors using Azure, Databricks, and Python. You will lead technical design choices, implement CI/CD workflows, and mentor team members within a hybrid work environment.
Build and scale data pipelines for ML workflows and real-time analytics using Spark, Kafka, Airflow, and Kubernetes in a cloud environment.
AI & Data Engineer building and deploying (gen)AI applications and scalable software solutions for SMB clients, using Python/JS, APIs, data pipelines, vector databases (RAG), Docker, and Kubernetes.
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
The Senior Fullstack Engineer will join the AkteAI team to automate the processing of notarial deeds using AI models and NLP techniques. The role involves developing backend workflows, managing Kubernetes clusters, and building frontend applications to monitor data extraction quality.
Leads AI/ML and software architecture for government systems, defining technical strategy, modernizing legacy code, and ensuring secure cloud integrations across secure enclaves.
Senior/Principal AI Engineer who collaborates directly with customers to design, build, and deploy AI-powered solutions using LLMs and agentic technologies, bridging business needs with technical execution.
The Senior Autonomous Systems Research Scientist conducts fundamental research on AI-enabled autonomous systems for high-stakes environments within the SEI's AI Division. The role focuses on addressing challenges related to system reliability, collaborative autonomy, and mission-appropriate autonomy levels.
The Google Cloud Platform DevOps Engineer will design, build, and deploy enterprise-grade AI agents using the Gemini Enterprise Agent Platform (GEAP). The role involves managing production hosting infrastructure and integrating the Model Context Protocol (MCP) in a hybrid work environment.
Leads agile delivery for a proprietary AI/data platform, coordinating cross-functional teams to build analytics pipelines, semantic models, and reporting while aligning with client stakeholders and managing hybrid delivery models.
This role involves full-stack development and AI infrastructure maintenance, focusing on debugging storefront reliability, improving automated testing, and managing cloud/GPU environments. The engineer will work directly with founders using React, Next.js, TypeScript, and various AI development tools.
Build and run a cloud platform that enables teams to ship AI-powered banking products reliably and efficiently using Azure, Kubernetes, and DevOps tooling.
Builds and maintains AI-powered enterprise web applications using React, Node.js, and GraphQL, integrating relational (SQL Server/PostgreSQL) and NoSQL databases while adhering to OOP and modern SDLC practices.
The Visual Designer creates production-ready visual assets, including data visualizations and presentations, while maintaining brand consistency and design systems. The role requires proficiency in Adobe Creative Suite and PowerPoint to support high-volume deliverables in a fast-paced, AI-focused environment.
Designs and deploys AI/ML solutions (NLP, predictive modeling, generative AI) on AWS Bedrock, integrating LLMs and RAG for enterprise use cases while ensuring scalability, security, and ethical AI practices.
Builds and maintains AI-powered APIs and agent systems using FastAPI and AWS, focusing on LLM orchestration, testing, and scalable cloud deployments.
Senior SRE Engineer designs, automates, and maintains AWS cloud infrastructure and reliability pipelines using Terraform, Kubernetes, and Datadog to ensure scalable, secure systems.
Build production-grade, tool-augmented AI agents using LLMs, RAG, and agent orchestration frameworks, integrating them with enterprise systems and enforcing safety policies.
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