Top AI & Machine Learning Jobs

Lead end-to-end development of complex, production-ready agentic systems on the OutSystems platform. Implement secure, scalable AI/LLM integrations with vector databases, enforce governance and privacy, coach teammates on AI-native delivery, and serve as the team's quality gate.

Lead technical pre-sales for AI GPU cloud solutions: design architectures, run PoCs and benchmarks, optimize distributed training/inference, produce proposals and enablement assets, and advocate customer feedback to Product and Engineering.

Design, implement, and evaluate ML and signal/image processing algorithms for geospatial/intelligence sensor data. Develop data ingestion, visualization, and scalable software tools, collaborate with teammates and customers, document results, and support deployment on customer systems. Apply statistical techniques to assess algorithm performance.

Lead development of AI agents for Growth, Sales, and Client Success: design, deploy, and operate LLM-driven agents, build data pipelines and prospect-research pipelines, wire GTM tooling and outbound infrastructure, develop vertical demos and ROI calculators, and iterate quickly with GTM teams to scale outreach and deals.

Design, develop, and deploy NLP and conversational AI models for chatbot and enterprise systems. Build end-to-end ML pipelines, optimize model performance, integrate models into production with backend teams, document workflows, and stay current with AI advancements.

Lead development and execution of enterprise AI strategy, governance, architecture, and adoption. Coordinate cross-functional teams to identify use cases, enable responsible AI, support implementations, measure business value, and drive enterprise-wide AI literacy and standards.

Design, build, and operate production-scale AI voice agents and platform systems. Work across vertical agent development, orchestration/platform engineering, and low-latency model inference/DevOps. Integrate with telephony and contact-center systems, ensure reliability and observability for millions of live calls, and collaborate directly with customers to deliver production-safe solutions.

Lead software engineering, DevOps, cloud platform, and applied AI efforts. Build platform architecture, CI/CD, infrastructure-as-code, observability, MLOps, and OTA firmware update systems. Recruit and mentor engineers, manage vendors and budgets, partner with embedded teams, and deliver scalable AI/ML and cloud solutions to improve operations and product outcomes.

Develop scalable software and data pipelines for clinical data, applying statistical computing, machine learning, and simulation. Build and maintain large-scale databases and cloud infrastructure, translate research algorithms into production code, gather requirements, document technical work, and present results to internal and client stakeholders.

Open application inviting candidates to propose a role at Valency. Send resume/bio, a short note describing your fit, and work samples. The small hybrid team builds AI-first research and knowledge infrastructure; successful candidates are systems thinkers comfortable with ambiguity who enjoy early-stage product work.