Top Artificial Intelligence Jobs in Istanbul

Assess and manage security risks across AI systems, models, data pipelines, applications, and infrastructure. Conduct AI security assessments and architecture reviews; define lifecycle security controls, standards, and guardrails; evaluate AI-specific threats; and support governance, risk assessments, control testing, monitoring, incident response, and remediation. The role also advises financial services clients on secure AI adoption and collaborates with technical, risk, business, and engineering stakeholders.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Provides technical leadership for Python-based AI backend platforms supporting LLM integrations, generative AI pipelines, and agent orchestration. Architects scalable AWS systems using FastAPI, Lambda, and EKS; establishes observability and engineering standards; drives performance, security, and reliability improvements; mentors engineers; and influences organization-wide technical strategy, platform capabilities, and best practices.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Own and build Timeleft’s end-to-end lifecycle program across email, push, SMS, and in-app channels. Drive signup-to-paid activation, subscriber retention, and reactivation through personalized journeys, experimentation, predictive decisioning, and AI-enabled workflows. Partner closely with Product, Data, and Engineering on lifecycle infrastructure, measurement, and in-product experiences. Manage the maturity roadmap, report on conversion and retention metrics, and hire and lead a Lifecycle Manager as the function scales.

Own the full sales cycle for commercial accounts in Turkey, from outbound prospecting and discovery through negotiation and closing. Build pipeline, acquire new customers, collaborate with channel partners and Sales Engineers, and drive retention, upsell, and cross-sell opportunities. Develop territory strategies, manage forecasts, meet quotas, and communicate the business value of cybersecurity solutions. Turkish and English fluency are required, along with 2–3+ years of technology sales or business development experience.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Own product direction, roadmap, prioritization, discovery, delivery, launches, and performance outcomes across manufacturing technology products. Collaborate with firmware, cloud, UX, engineering, operators, and business stakeholders to translate customer needs into shipped products. Focus areas include production insights, scalable platforms and integrations, or hardware, firmware, and IoT data capture. Use customer research, analytics, and continuous iteration to improve factory-floor outcomes.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Supports People & Values operations by improving employee lifecycle processes, administering HR systems, maintaining documentation and policies, implementing automation, and managing contingent workforce contracts. The role partners with Talent Acquisition, Legal, Finance, and internal stakeholders to improve onboarding, ensure compliance, maintain data integrity, and deliver scalable employee experiences.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Drives AI marketing strategy and transformation for enterprise customers. Owns AI Decisioning use cases from discovery through launch and expansion, leads customer design sessions, documents requirements, manages technical projects, mitigates risks, builds stakeholder relationships, and identifies campaigns or optimizations that improve outcomes. Partners closely with engineers, product teams, marketers, executives, and IT stakeholders while contributing to AI Decisioning product strategy.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Own the technical strategy and architecture for the Voyager SDK application layer. Lead model deployment, pipeline development, preprocessing and decoding, framework integrations, metadata standards, performance profiling, and optimization across heterogeneous AI hardware. Resolve complex compilation and latency issues, build reusable libraries and tools, influence technical roadmaps, represent the team with stakeholders and customers, mentor engineers, and establish development best practices.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.