Top Machine Learning Jobs in Turkey

Research and investigate global fraud trends using BioCatch data and external sources. Produce data-driven insights, visualizations, written thought leadership, dashboards, and presentations. Build repositories and automate analysis workflows while applying fraud expertise and AI tools to validate findings and support sales and marketing.

Design, build, integrate, and operate engineering capabilities for monitoring and controlling digital-asset compliance risks. Develop scalable, explainable, auditable controls for on-chain activity, including transaction monitoring, sanctions screening, Travel Rule compliance, alerting, case management, data models, APIs, and evidence trails. Apply blockchain analytics, wallet risk scoring, transaction tracing, graph analysis, data governance, and regulatory technology practices within ING’s regulated banking environment.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Support multilingual data quality by analyzing and cleaning text data, developing parsers, evaluating text classifiers, translating taxonomies (Skills, Titles, Occupations), and partnering with Linguistics and Engineering to deliver high-quality global data.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Drive sprint preparation, maintain backlog hygiene, draft user stories, translate client needs into software requirements, coordinate cross-team prioritization, track decisions/action items, and take day-to-day ownership of product operations while communicating between Product, Engineering, and Customer Success.

Serve as product SME and technical bridge between customers, CS, and R&D. Troubleshoot and resolve integration issues, run root-cause analysis, configure OPC connectors, document SOPs, and support client-facing technical discussions to scale solutions and reduce R&D interruptions.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

Research, prototype, and integrate AI/ML (computer vision, NLP) solutions into game art, animation, audio, and pipelines. Collaborate with designers, artists, and developers, provide training, and stay current on AI and gaming trends to enhance visual and audio game experiences.

Analyze and cleanse raw data, build and maintain data pipeline architecture, and generate actionable business insights. Promote a data-driven culture, plan and execute BI projects, and apply predictive modeling, machine-learning, clustering and classification techniques. Create dashboards and reports (Tableau, Looker) to improve product and customer analytics and business processes.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

Drive analytical evaluation of CRM and marketing campaigns, build ML models and simulations to predict customer behavior, manage dashboards and KPIs, advise on segmentation (RFM), coordinate data science projects with global teams, and provide analytics consultancy across departments.

Provide technical presales leadership throughout sales cycles: develop opportunities, deliver demos and architecture proposals, own technical proposals and POCs, train teams and customers, and apply industrial operations expertise (SCADA, MES, PI, APM) and modern technologies (AI/ML, cloud) to win business across Middle East, Africa and Turkey.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.