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- ...generalization, and bias; plus a solid grasp of common model families (e.g., k-nearest neighbors, decision trees/random forests, support vector machines, linear/logistic regression, and basic neural networks) ~ At least 1 year of hands-on experience with LLMs in...
Critical Manufacturing
Porto4 dias atrás - ...work — you can walk out of a client meeting and know what to build next Nice to Have Skills: Experience with RAG pipelines, vector databases, or agent frameworks Background in consulting, professional services, or client-facing engineering Familiarity with...
- ...What we are looking for Strong experience working with Large Language Models and NLP systems. Hands-on experience with embeddings and vector databases. Strong proficiency in Python and major ML frameworks. Experience building production-grade data pipelines. Solid...
- ...solutions to drive innovation. Architect data pipelines leveraging SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector engines, and knowledge graph technologies. Lead cross-functional teams in prototyping, building, and scaling AI‑driven automation...
- ...operations. What You’ll Do Design and implement AI/ML pipelines, including LLM-based applications, GenAI frameworks, and vector retrieval systems. Build production-grade AI integrations in Python, ensuring scalability and reliability. Apply enterprise AI...
€45,000 a €65,000 por año
...Azure AI Studio, and Azure OpenAI Service. ~ Expertise in building production‑grade RAG pipelines, including chunking strategies, vector search, retrieval evaluation, and end‑to‑end optimisation. ~ Hands‑on experience with Large Language Models (LLMs) in...$12,000 por año
...campaigns, phishing scams, and synthetic identity networks. · Use SQL, Python, or analytics to query large datasets, uncover attack vectors, and quantify the scale and impact of abusive behavior. · Design and implement rules, models, and workflows to detect and prevent...- ...Experience in the life/health science industry, notably pharma Great skills in big data technologies such as Spark Experience with Vector databases & NoSQL Familiarity with architectural choices, particularly for ML systems Crawling/Webscraping, specially with AI...Trabalho remoto
$12,000 por año
...Policy and Product teams to create, test, and refine annotation guidelines account for global document diversity and emerging fraud vectors. · Provide structured feedback to machine learning engineers and data scientists on model performance. Identify systematic errors...€75,000 por año
...with Terraform or Bicep, Kubernetes/AKS, and infrastructure-as-code lifecycle. Working knowledge of SQL databases, Elasticsearch, vector databases (Qdrant, Pinecone), and message brokers (Kafka or equivalent). Deep experience with distributed service design:...- ...experience with modern programming languages (Python or similar), deep-learning frameworks (PyTorch, TensorFlow, or similar), and vector-store solutions (Pinecone, Weaviate or similar). Experience with workflow automation (n8n, Zapier, Airflow) and API integration....
- ...edge Integrar e operacionalizar componentes de AI e LLMs, com especial foco em: RAG (Retrieval‑Augmented Generation); Embeddings e vector databases; Assistentes virtuais e sistemas multi‑agente Trabalhar em ambientes cloud Microsoft (Azure), com exposição a...
- ...scripting languages for automation is also beneficial. Proven track record working in cybersecurity, understanding common attack vectors, threat landscapes, and defensive technologies. Proficiency in implementing security measures within Elasticsearch, such as role...
Jolera Inc.
Porto2 meses atrás - ...Support product teams by embedding best practices for building with GenAI—covering topics like API integration, model orchestration, vector databases, observability, and performance. Share AI Expertise: Capture and spread architectural patterns and lessons learned...
Visma
Porto2 meses atrás - ...practices ~ Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, or similar) ~ Familiarity with LLM frameworks, vector databases, and RAG architectures ~ Strong experience with cloud platforms (AWS, GCP, or Azure) ~ Experience with cloud data warehouses...
- ...manual review with programmatic constraints. Engineer Context and Memory: Build the semantic infrastructure (knowledge graphs, vector stores) that provides agents with deep, structural understanding of our codebase and business intent. You will solve the “blank slate...
- ...Design and implement Generative AI solutions , including: LLM‑based services Retrieval‑Augmented Generation (RAG) pipelines Vector databases and semantic search ~ Work closely with data scientists and engineers on evaluation, monitoring, and drift detection....
- ...AppSec and Dev Teams with mitigation advice for identified vulnerabilities. Research and create proof-of-concept based on identified vector attacks. How will you make an impact? Conduct security-focused static code and software composition analysis on top of a broad...
Checkmarx
Braga2 meses atrás - ...performance tracking (e.g., using RAGas or Arize Phoenix). Collaborate with Data Engineers to build efficient data pipelines for vector databases (Chroma, Pinecone, Weaviate) and optimize context retrieval for RAG. Stay at the forefront of the rapidly evolving...
- ...with LLMs, prompt engineering, and RAG systems. ~ Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases. ~ Experience with Docker and deploying in secure / isolated / air-gapped environments. ~ Practical experience with APIs...
€2,000 por mês
...Programming & AI Proven strong experience with JavaScript, TypeScript, and Python Advanced GenAI/LLM expertise: RAG, embeddings, vector search, prompt engineering, evals, guardrails, caching, chaining, function calling, etc Fine-tuning expertise: LoRA/QLoRA,...Trabalho remoto- ...for a skilled Database Administrator to take full ownership of our diverse database environment, including relational, graph, and vector databases. This environment operates within a DevOps-driven, Infrastructure as Code (IaC) culture, deployed on Kubernetes clusters....
$12,000 por año
...Provide feedback to peers and automated systems to ensure consistency across the board. · Analyze incoming data to identify new vectors of abuse (spam, scams, coordinated inauthentic behavior) and escalate them proactively. · Handle sensitive escalations from users...- ...versioning) Ensure reliable data quality, documentation, and metadata standards across the organization Build infra for LLM workloads: vector DBs, embedding pipelines, prompt evaluation, safety checks Compliance, Privacy & Responsible AI Ensure data science...Trabalho remoto
- ...Support technical design and implementation of AI components (frontend/backend), integrating models with APIs, cloud services, and vector databases; Contribute to optimizing CI/CD pipelines and DevOps practices, primarily in Azure or other cloud environments; Collaborate...
QiBit Portugal
Lisboa26 dias atrás - ...pipelines, testes, automatização, CI/CD e deployment. Definir padrões, guidelines e boas práticas para desenvolvimento com LLMs, vector databases, frameworks de agentes, MLOps/LLMOps e DataOps aplicados à GenAI. Realizar revisões técnicas (arquitetura, código, PRs...
- ...aligning business requirements to technical solutions in a regulated environment Good-to-Have Skills: Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Experience managing...
- ...skills with the ability to align technical and non-technical stakeholders Nice to have Experience with AI/ML integration, vector databases (Pinecone, Weaviate, pgvector), or recommendation systems Experience with NoSQL or non-relational databases (MongoDB,...
- ...defining schemas, and ensuring secure tool access (RBAC/ABAC) ~ Familiarity with data access and integration (SQL/NoSQL/object stores, vector databases, graph databases), event/async patterns, caching, performance and cost awareness ~ Excellent communication skills in...
- ...building a cutting-edge data platform that helps organizations bring all their data together graph, document, key/value, full-text, and vector search in one engine. Why does that matter? Because it means developers and data teams can build next-gen AI applications like...
