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Technical Data Scientist Manager

CESAR

Innovation driven by people. Business powered by innovation.

Data Analyst6 hours ago

Full Time Remote LeadTeam 1,001-5,000Since 1996H1B No Sponsor

Company Site LinkedIn

Role Description Como Technical Data Scientist Manager, sua missão será de responder pelo entendimento técnico do problema e corresponsável pela entrega, atuando como ponto focal técnico junto ao cliente e no acompanhamento e desenvolvimento da carreira da equipe com o objetivo de agregar valor ao projeto, cliente e time, topa? Vamos nessa! Qualifications - Experiência em liderança técnica de equipes de Ciência de Dados e IA. - Sólido conhecimento em Inteligência Artificial Generativa. - Experiência prática com Large Language Models (LLMs), incluindo modelos proprietários e open source. - Experiência no desenvolvimento de agentes de IA (AI Agents) utilizando frameworks como LangGraph, CrewAI, AutoGen, Semantic Kernel ou similares. - Conhecimento em arquiteturas de agentes, incluindo planejamento, uso de ferramentas (tool calling), memória, orquestração de fluxos e agentes colaborativos. - Experiência na construção de soluções baseadas em RAG (Retrieval-Augmented Generation). - Conhecimento em engenharia de prompts e avaliação de respostas de LLMs. - Experiência com bancos vetoriais. - Experiência com frameworks para desenvolvimento de aplicações com LLMs, como LangChain, LlamaIndex ou equivalentes. - Conhecimento em Python e bibliotecas para IA. - Experiência com APIs REST e integração de sistemas. - Conhecimento em MLOps, versionamento e monitoramento de modelos de IA. - Experiência em ambientes de nuvem (Azure, AWS ou GCP). Requirements - Definir a arquitetura da solução baseada em LLMs e agentes inteligentes. - Projetar agentes especializados para consulta, interpretação e análise de informações. - Implementar estratégias de RAG para consulta segura e contextualizada de documentos técnicos. - Definir mecanismos de memória, contexto, planejamento e uso de ferramentas pelos agentes. - Avaliar continuamente o desempenho dos LLMs por meio de métricas como precisão, groundedness, relevância e alucinação. - Liderar a evolução da arquitetura de IA, incorporando novos modelos, técnicas e boas práticas. Benefits - Horário flexível; - Estrutura horizontal; - Programas de treinamento e desenvolvimento; - Cultura voltada para a Diversidade & Inclusão, onde você pode ser livre pra ser quem é! Company Description Quer conhecer melhor o CESAR? Clica aqui e vem com a gente!

AI Agents LangChain LlamaIndex Python Azure AWS GCP

View details: Technical Data Scientist Manager

Brazil

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Software Engineer 4

Granicus India

Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Consistently appeared on the GovTech 100 list over the past 5 years Recognized as one of the best companies to work for on BuiltIn Served 5,500 federal, state, and local government agencies More than 300 million citizen subscribers power an unmatched Subscriber Network Comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services Empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada

Software Engineer19 hours ago

Full Time Remote Mid LevelTeam 1,001-5,000

Role Description The Senior Software Engineer role at Granicus is for developers growing their technical and software development skills developing products in a SaaS based environment. This role requires strong software engineering expertise in a SaaS environment, with demonstrated ability to apply AI-assisted engineering practices, prompt engineering, and AI/ML integration patterns to improve development velocity, code quality, automation, and customer value across the Granicus platform. Software Engineers are proficient in multiple different technologies and gain on-the-job experience applying their knowledge and experience in improving the design and quality of our products. They understand the deployment process and support our applications in all environments. As they gain expertise, they share their knowledge with the broader engineering team. What Your Impact Will Look Like - Learn about and uphold the Development team’s core values: Test-Driven Development, Collective Ownership, Agile Development, and Egoless Programming - Write high-quality software using test-focused practices - Be a core contributor to Granicus's automated testing suites - Develop bug fixes and feature changes for at least one application within the Granicus product suite - Collaborate with your Scrum team, the Development team, and the broader Product Organization - Be a participating member of the broader Granicus technology organization - Engineering Velocity: Accelerated delivery through AI-assisted development tools and practices - Quality & Reliability: Improved testing, monitoring, and operational resilience through AI-driven SDLC practices - Innovation: Introduction of AI-driven capabilities across the platform - Customer Value: Reduced manual effort and enhanced accessibility and compliance outcomes through AI-enabled solutions Qualifications - 8+ years of professional experience, including 2+ years in leading the design and development of complex software solutions using .NET technologies - Minimum of 6+ years of experience as a .NET Developer - Proven track record of successfully leading and delivering complex software projects - In-depth knowledge of ASP.NET MVC, Web API, and other relevant technologies - Proficiency in designing and implementing database solutions using SQL Server or other relational databases - Strong understanding of design patterns and architectural principles - Demonstrated leadership experience, with the ability to lead and inspire a development team - Exceptional problem-solving skills with a focus on delivering high-quality solutions - Extensive experience working in Agile development environments - Excellent collaboration and communication skills with cross-functional teams - Proficient in using version control systems, such as Git - Strong passion for learning and staying updated on emerging technologies - Experience in creating and maintaining comprehensive technical documentation - Ability to conduct and participate in rigorous code reviews - Experience in designing and optimizing applications for scalability and performance - Hands-on experience with AI-assisted development tools, such as GitHub Copilot, Cursor, or similar tools, to improve productivity and code quality [MUST HAVE] - Experience designing and delivering software solutions that incorporate AI/ML capabilities, including AI agents, intelligent workflows, and automation systems - Ability to collaborate with product and data teams to identify opportunities to integrate AI-driven features into the platform - Understanding of AI/ML system integration patterns, including APIs, model serving, prompt orchestration, and related approaches - Exposure to AI ecosystems/frameworks, such as OpenAI, Azure AI, LangChain, or similar technologies, in production use cases Requirements - Integrate AI-driven capabilities into applications to enhance automation, insights, and user experience - Leverage AI-assisted development tools, such as GitHub Copilot, Cursor, or similar tools, to accelerate delivery and improve code quality - Build and maintain API-driven, service-based architectures that ensure scalability, reliability, and backward compatibility - Contribute to improving SDLC efficiency through automation, observability, and AI-led engineering practices - Mentor and guide junior developers in best practices and coding standards - Collaborate with cross-functional teams to define software requirements and specifications - Participate in code reviews to ensure high code quality and adherence to coding standards - Troubleshoot, debug, and resolve complex technical issues - Stay abreast of industry trends and advancements, incorporating new technologies into our development processes - Drive initiatives to improve the overall efficiency and effectiveness of the development team Benefits - Remote-first company with a globally distributed workforce - Transparent, inclusive, and safe work culture - Employee Resource Groups to encourage diverse voices - Coffee with Mark sessions for interaction with leadership - Communities focused on wellness, art, family, and more - Special guest sessions to discuss impactful issues

AI AI/ML Observability/Monitoring SDLC .NET ASP.NET MVC Microsoft SQL Server Git GitHub AI Agents OpenAI API Azure LangChain

View details: Software Engineer 4

Worldwide

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Data Scientist III

Reed Technology

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.

Data Scientist19 hours ago

Full Time Remote Mid LevelTeam 1,001-5,000

Role Description We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: - Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). - Define agentic workflows and reasoning strategies for multi-step IP tasks. - Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). - Analyse large-scale IP datasets to extract insights and improve model performance. - Establish best practices for model evaluation, validation, and benchmarking. - Translate experimental results into clear product recommendations and business impact. - Collaborate with product, IP experts, and engineers to align solutions with user needs. Qualifications - Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). - Strong experience in machine learning, NLP, and LLM-based modeling. - Strong experience designing and running experiments, including model evaluation and iteration. - Strong coding skills in Python. - Experience with generative AI techniques (e.g., prompt engineering, RAG). - Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. - Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. - Proficiency in data analysis tools. - Strong foundation in statistics, modeling, and large-scale text processing. Benefits - Generous holiday allowance with the option to buy additional days. - Health screening, eye care vouchers, and private medical benefits. - Wellbeing programs. - Life assurance. - Access to a competitive contributory pension scheme. - Save As You Earn share option scheme. - Travel Season ticket loan. - Electric Vehicle Scheme. - Optional Dental Insurance. - Maternity, paternity, and shared parental leave. - Employee Assistance Programme. - Access to emergency care for both the elderly and children. - RECARES days, giving you time to support the charities and causes that matter to you. - Access to the employee resource groups with dedicated time to volunteer. - Access to extensive learning and development resources. - Access to the employee discounts scheme via Perks at Work.

AI AI/ML LLM Python LangChain

View details: Data Scientist III

United Kingdom

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Senior Data Scientist I

Reed Technology

Data Scientist19 hours ago

Full Time Remote SeniorTeam 1,001-5,000

Role Description We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: - Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). - Define agentic workflows and reasoning strategies for multi-step IP tasks. - Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). - Analyse large-scale IP datasets to extract insights and improve model performance. - Establish best practices for model evaluation, validation, and benchmarking. - Translate experimental results into clear product recommendations and business impact. - Collaborate with product, IP experts, and engineers to align solutions with user needs. Qualifications - Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). - Strong experience in machine learning, NLP, and LLM-based modeling. - Strong experience designing and running experiments, including model evaluation and iteration. - Strong coding skills in Python. - Experience with generative AI techniques (e.g., prompt engineering, RAG). - Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. - Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. - Proficiency in data analysis tools. - Strong foundation in statistics, modeling, and large-scale text processing. Benefits - Generous holiday allowance with the option to buy additional days. - Health screening, eye care vouchers, and private medical benefits. - Wellbeing programs. - Life assurance. - Access to a competitive contributory pension scheme. - Save As You Earn share option scheme. - Travel Season ticket loan. - Electric Vehicle Scheme. - Optional Dental Insurance. - Maternity, paternity, and shared parental leave. - Employee Assistance Programme. - Access to emergency care for both the elderly and children. - RECARES days, giving you time to support the charities and causes that matter to you. - Access to employee resource groups with dedicated time to volunteer. - Access to extensive learning and development resources. - Access to the employee discounts scheme via Perks at Work.

AI AI/ML LLM Python LangChain

View details: Senior Data Scientist I

United Kingdom

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Data Scientist III

RELX

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

Data Scientist19 hours ago

Full Time Remote Mid Level

Role Description We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities - Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). - Define agentic workflows and reasoning strategies for multi-step IP tasks. - Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). - Analyse large-scale IP datasets to extract insights and improve model performance. - Establish best practices for model evaluation, validation, and benchmarking. - Translate experimental results into clear product recommendations and business impact. - Collaborate with product, IP experts, and engineers to align solutions with user needs. Qualifications - Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). - Strong experience in machine learning, NLP, and LLM-based modeling. - Strong experience designing and running experiments, including model evaluation and iteration. - Strong coding skills in Python. - Experience with generative AI techniques (e.g., prompt engineering, RAG). - Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. - Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. - Proficiency in data analysis tools. - Strong foundation in statistics, modeling, and large-scale text processing. Benefits - Generous holiday allowance with the option to buy additional days. - Health screening, eye care vouchers, and private medical benefits. - Wellbeing programs. - Life assurance. - Access to a competitive contributory pension scheme. - Save As You Earn share option scheme. - Travel Season ticket loan. - Electric Vehicle Scheme. - Optional Dental Insurance. - Maternity, paternity, and shared parental leave. - Employee Assistance Programme. - Access to emergency care for both the elderly and children. - RECARES days, giving you time to support the charities and causes that matter to you. - Access to the employee resource groups with dedicated time to volunteer. - Access to extensive learning and development resources. - Access to the employee discounts scheme via Perks at Work.

AI AI/ML LLM Python LangChain

View details: Data Scientist III

United Kingdom

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Senior Data Scientist I

RELX

Data Scientist19 hours ago

Full Time Remote Senior

AI AI/ML LLM Python LangChain

View details: Senior Data Scientist I

United Kingdom

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Senior Software Engineer - Python and Data Ecosystem

ClickHouse

ClickHouse is an open-source, column-oriented OLAP database management system.

Data Engineer1 day ago

Full Time Remote SeniorTeam 51-200Since 2016H1B Sponsor

Company Site LinkedIn

Role Description As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: - Databases are no longer just query targets. - They are becoming active participants in AI-powered workflows. - They serve as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations; you bring product-level insight into what we should build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: - Orchestration Platforms: Apache Airflow, Dagster, Prefect - Transformation Tools: dbt, SQLMesh - AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling. Your job is to make ClickHouse's potential real by building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. What you'll do: - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design. - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards. - Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications. - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback. - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities. - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows. Qualifications - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer. - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation). - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production. - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries. - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases. - Solid experience with concurrent Python: threading, multiprocessing, and async patterns. - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities. Requirements - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role. - Familiarity with ClickHouse or similar high-performance OLAP platforms. - Familiarity with the JVM ecosystem. - Experience deploying AI/ML models in production, including inference APIs and vector databases. Benefits - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A $500 Home office setup if you’re a remote employee. - Global Gatherings - Opportunities to engage with colleagues at company-wide offsites. - Culture - As part of a rapidly scaling startup, you will be instrumental in shaping our culture.

Python Data Engineering AI LLM AI/ML Airflow dbt LangChain LlamaIndex SDK Pandas NumPy Pydantic SQL JVM

View details: Senior Software Engineer - Python and Data Ecosystem

Northern America + 2 more

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Senior Software Engineer / Search Engineer

Seeking Alpha

Founded in 2005, Seeking Alpha is an industry-leading financial research platform powered by one of the world’s largest investing communities. We bridge the gap between financial information and actionable insight by providing unrivaled coverage on all asset classes and access to best-in-class tools. From in-depth analysis on thousands of stocks to timely investment ideas and market-beating Quant ratings, Seeking Alpha is an essential resource for millions of investors globally. Any content and tools on the Seeking Alpha platform are offered for information purposes only. Seeking Alpha does not take account of individuals' objectives or financial situation and does not offer any personalized investment advice. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank

Full-stack Engineer1 day ago

Contract Remote SeniorTeam 914Since 2005

Role Description You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques. Tech Stack: - Elasticsearch (v8+) - Python (FastAPI, Asyncio) - OpenAI Embeddings - LangChain - LangSmith The Senior Search Engineer will be engaged with the company as a contractor (Private Entrepreneur). What You'll Do - Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth'). - Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith). - Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts. - Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters. - Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily. Qualifications - 5+ years of experience working with Search Engines in production. - Understanding of how indices, analyzers, and mappings work "under the hood." - Understanding the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which. - Strong experience with Python 3.10+. - Comfortable writing asynchronous code (async/await) and building APIs. - Experience designing data schemas for search (how to structure JSON documents for efficient retrieval). Requirements - Experience building RAG (Retrieval-Augmented Generation) pipelines. - Familiarity with LangChain or similar LLM frameworks. - Experience with Evaluation tools (like LangSmith) to test search quality automatically. - Background in Finance (understanding tickers, earnings calls, etc.).

AI Agents Elasticsearch Python FastAPI OpenAI API LangChain Performance Optimization JSON LLM

View details: Senior Software Engineer / Search Engineer

Worldwide

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Senior Software Engineer / Search Engineer (Elasticsearch & Vector Search)

Seeking Alpha

Software Engineer1 day ago

Full Time Remote SeniorTeam 914Since 2005

Role Description You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques. Tech Stack: - Elasticsearch (v8+) - Python (FastAPI, Asyncio) - OpenAI Embeddings - LangChain - LangSmith What You'll Do: - Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth'). - Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith). - Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts. - Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters. - Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily. Qualifications - 5+ years of experience working with Search Engines in production. - Strong experience with Python 3.10+. - Experience designing data schemas for search. Requirements - Elasticsearch Expert: You understand how indices, analyzers, and mappings work "under the hood." - Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which. - Python Proficiency: You are comfortable writing asynchronous code (async/await) and building APIs. Benefits - Flexible, balanced environment with remote work options. - Ongoing learning and career advancement opportunities. - Support for personal well-being and professional goals.

AI Agents Elasticsearch Python FastAPI OpenAI API LangChain Performance Optimization

View details: Senior Software Engineer / Search Engineer (Elasticsearch & Vector Search)

Israel

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AI Solution Architect

CodeNinja

Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, & performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Architect1 day ago

Full Time Remote Mid Level

Company Site

Role Description We are seeking an AI Solution Architect to translate complex banking business needs into scalable, secure enterprise AI system blueprints. This role owns end-to-end technical delivery — from high-level design through production deployment — while ensuring every solution aligns with the demands of a highly regulated financial IT landscape. Key Responsibilities - Design high-level and low-level architectures for banking AI applications - Securely integrate modern AI applications with core banking systems and databases - Evaluate and select optimal LLMs, vector stores, and machine learning platforms - Ensure enterprise-grade high availability, low latency, and system scalability - Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision - Partner with engineering, security, and platform teams through the full delivery lifecycle Qualifications - 8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services - Hands-on experience with AI & data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks - Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones - CI/CD & MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks - Advanced Python skills — Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex - Strong communication skills to translate technical architecture into business-relevant terms for stakeholders Benefits - Architect enterprise-scale AI solutions inside a live banking transformation program - Own technical decisions from blueprint to production — real build authority, not just advisory - Work at the intersection of cutting-edge AI and strict financial-sector compliance - Be part of a forward-looking organization driving AI-led transformation in the region Disclaimer CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

AI AI/ML SAS LLM Microservices CI/CD GitLab CI Docker Kubernetes MLflow Python Pandas NumPy LangChain LlamaIndex

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Egypt

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