Lead ML Engineer to provide technical leadership for the development and industrialisation of Scores & Attributes across multiple international markets, working at the intersection of machine learning, data engineering and platform engineering.
Responsibilities
Lead the design and evolution of capabilities for developing, calculating, testing, governing, deploying and operating data attributes at scale.
Build reusable frameworks, tooling and automation for attributes to move from experimentation to production-ready services.
Shape the end-to-end technical architecture and engineering patterns supporting the attribute lifecycle.
Design integration patterns allowing attribute services to work with existing data and bureau platforms.
Evaluate new data sources and methodologies, quantifying their incremental predictive and analytical value.
Requirements
Nice to have: Apigee
Nice to have: Okta
Nice to have: Migrating legacy analytical/data workloads onto modern cloud platforms
Nice to have: Developing platforms, frameworks or tooling used by Data Science/Analytics teams
Nice to have: Experience in regulated, data-intensive environments such as financial services
Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books
Unterstützt Banken und andere Finanzdienstleister bei der Entwicklung und Umsetzung von KI-gestützten Lösungen, analysiert Daten, bewertet Use Cases und erstellt Präsentationen für Stakeholder.
Compensation
Jahresbruttogehalt ab € 30.940,- (nicht All In) bei noch nicht abgeschlossenen Studium.
Responsibilities
Identifikation geeigneter Use Cases und Bewertung von Nutzen und Machbarkeit
Unterstützung von AI- und Data-Science-Projekten mit Fokus auf Banken
Konzeption und Umsetzung von KI Agents und AI-gestützten Lösungen
Arbeiten mit Large Language Models, Prompting, Retrieval-Augmented Generation (RAG) und Orchestrierung von KI Agents
Datenaufbereitung, Analyse von Ergebnissen und Unterstützung bei der Entwicklung von Machine-Learning- und AI-Lösungen
Requirements
Bachelor's in Informatik, Data Science, Statistik, Wirtschaftsinformatik oder vergleichbare Fachrichtung
As an advanced data scientist and researcher on our national security team, you’ll evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Responsibilities
Lead complex data exploration and analytics projects through experience with statistics for the Department of Defense
Evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence
Grow skills in continuous auditing, testing, evaluation, verification, and validation (TEVV) and AI risk mitigation
Requirements
Bachelor’s degree in mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing
12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree
Nice to have: Reviewing and evaluating technical documentation for compliance with applicable standards
Nice to have: Developing and executing TEVV procedures
Nice to have: Evaluating AI system performance, robustness, and fairness
Design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Responsibilities
Architect modular, reusable AI application patterns
Integrate multiple model providers such as cloud-hosted, local, and hybrid
Define the direction of mission-critical agentic systems by selecting and combining prompting strategies, RAG architectures, agentic workflows, and fine-tuned or foundation models
Seeking a strong Software Engineer with 5 to 15 years of experience building modern software applications in the Microsoft software engineering ecosystem, capable of contributing to technical discussions and strengthening engineering standards.
Compensation
Excellent compensation in USD.
Responsibilities
Design, develop, and maintain modern applications and services using C# and .NET 8+
Build and enhance REST APIs and backend services with a focus on scalability, maintainability, and performance
Contribute to the design and implementation of distributed systems and service-oriented architectures
Apply SOLID principles and sound object-oriented design practices to produce clean, extensible, and testable code
Work with relational and non-relational databases, including schema design, query tuning, and efficient data access patterns
Requirements
Bachelor’s degree from an accredited four-year college or university in Computer Science, Software Engineering, Computer Engineering, or a related technical field
Subject Matter Expert (SME) to lead the design, implementation, and operations of high-performance database infrastructures—spanning PostgreSQL and future recommended technologies—to support critical, ongoing programs within the Naval Center for Spacecraft Technology (NCST).
Responsibilities
Implement, manage, and tune PostgreSQL RDBMS
Configure and utilize advanced native PostgreSQL features including Row-Level Security (RLS), native declarative partitioning, custom indexing (GIN, GiST, BRIN), and connection pooling via complex SQL and PL/pgSQL programming
Research, engineer, and establish transition paths for shifting legacy relational data stores to PostgreSQL instances within the IC and DoD Cloud data layers
Support data engineering by defining and implementing complex object models (e.g., Unified Object Model, Generalized Entity Model) within cloud environments
Develop, modify, and enhance data fusion and geographic tracking algorithms utilizing PostGIS and spatial indexing for multiple situational awareness data types (GEOINT, SIGINT, OSINT)
Ensure we build, scale, ship, and monitor our platform reliably, leveraging technologies such as Java, Python, MySQL, NSQ, Hbase, AWS, and Kubernetes.
Compensation
Our current hiring range for this role: 24,300 PLN – 30,400 PLN Nett monthly. The full base pay range for this role is 24,300 PLN – 36,500 PLN monthly.
Responsibilities
Ensure we build, scale, ship, and monitor our platform reliably, leveraging technologies such as Java, Python, MySQL, NSQ, Hbase, AWS, and Kubernetes.
Partner with product managers, designers, and other engineers to define requirements and complete feature work.
Work to improve the processes, systems, and tools we use to deliver quality products and champion technical initiatives and direction.
Uphold project quality and planning through meeting deadlines, breaking down work, and ensuring proper testing and monitoring
Lift the skills of other engineers through mentorship, knowledge sharing, and providing feedback on PRs and technical designs.
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