Top Machine Learning Jobs in Turkey

As a Senior Staff Software Engineer, you will design and maintain scalable microservice architectures, implement robust search indexing solutions, and collaborate with cross-functional teams to enhance the search experience. You will also mentor junior engineers and advocate for quality and innovation.

As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The R&D Engineer will conduct research in wired/wireless networking and data science, focusing on technologies like 5G and IoT. Responsibilities include generating research proposals, coordinating projects, and collaborating with various partners. The role requires strong analytical skills, good communication, and article writing capabilities.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.

The role requires a Senior Engineer with over 5 years of experience in AI and ML projects, focusing on Computer Vision, NLP, and Generative AI. The candidate should have strong knowledge of software architecture and at least 2 years of experience with AI cloud platforms as well as MLOps processes. Familiarity with time series and traditional ML models is a plus.

As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.

The Senior Data Scientist will design and implement analytical solutions to address client needs, primarily focusing on the credit life cycle and risk management. Responsibilities include developing models, troubleshooting issues, presenting proposals, and collaborating with sales to support business opportunities. The role demands strong consultancy skills and experience in banking and analytics.