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Analyst - Pharma Strategy Consulting
Empower life sciences teams with GenAI-powered conversational analytics to transform complex data into actionable insights through an intuitive NLP interface.
Benefits:
Rewarding career in life sciences consulting
Collaborative work environment
Education Requirements:
Master’s degree preferably in Engineering, Economics or Business
Experience Requirements:
Fresh graduate or maximum 1-3 years’ experience
Other Requirements:
Proficiency in Turkish and business English
Excellent MS Office skills
Willingness to travel
Knowledge of Python or R (plus)
Responsibilities:
Perform quantitative and qualitative analyses for recommendations
Contribute to internal brainstorming for project methodology
Conduct independent desk research
Assist in the preparation and execution of client workshops
Build professional relationships with client teams
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Neural Graphics Engineer
Transform product images into high-fidelity 3D models and AR try-on experiences for eCommerce brands to boost conversion rates and reduce return volumes.
Benefits:
Great salary and health benefits
Equity in mid-term
Fully remote work with flexible working hours
Experience working with a team of expert engineers
Access to educational content, courses, and events
Education Requirements:
M.Sc. or Ph.D. with a focus on Computer Vision, Computer Graphics, Machine Learning, or a related field
Experience Requirements:
Experience designing, implementing, and training deep neural networks
Knowledge in neural rendering research and development
Experience in C++ and Python
Experience designing and implementing complex software systems
Experience with TensorFlow, PyTorch, JAX, or similar frameworks
Other Requirements:
Must be living in GMT +0 to GMT +3 timezones
Knowledge of neural graphics primitives
Knowledge in 3D depth understanding and 3D vision
Excellent communication skills
Self-starter with an amazingly positive attitude
Responsibilities:
Development of solutions to complex research problems regarding neural graphics primitives
Deployment and improvement of machine learning products on the cloud
Building products never seen before in space
Implementing exciting features using JAX, PyTorch, or Tensorflow
Keeping track of the existing 3D Machine Learning literature
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Intern - Software Developer
Optimize visitor engagement for retail and hospitality venues by transforming physical spaces into data-driven environments with Wi-Fi analytics and wayfinding.
Benefits:
Professional growth with continuous learning
Flexible work environment
Healthy work-life balance
Collaborative and open communication
Social activities through various hobby clubs
Responsibilities:
Join the software development team
Work on main applications targeting Turkey and international markets
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Machine Learning Intern - Computer Vision
Block bot attacks and human fraud while maintaining strict user privacy with a compliant, low-friction security platform designed for global enterprises and apps.
Benefits:
Fully remote position
Flexible working hours
Mentoring and support in advanced ML
Modern development and deployment workflows
High impact and cutting edge R&D
Education Requirements:
Bachelor's Degree or an equivalent in a STEM field
Experience Requirements:
Strong knowledge of computer vision
Solid Python programming experience
Experience applying ML to computer vision problems
Fine-tuning generative vision models
Understanding of ML fundamentals
Other Requirements:
Experience with prompt engineering
Excellent communication and listening skills
Grasp of ML math (linear algebra, probability, etc.)
Responsibilities:
Experiment with and evaluate visual domain ML models
Iterate quickly for early and frequent deployment
Write well-structured and tested code
Participate in code reviews and design sessions
Stay updated on technological developments
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Senior Full Stack Engineer (Relocation to Dubai)
AI-powered e-learning creation tool for enterprises, enabling users to create engaging courses from documents or from scratch. Features EasyAI, auto-translation, and SCORM/xAPI compliance.
Benefits:
Being part of a fast-growing start-up environment where you can make an impact from day 1.
Working in an international team, surrounded by passionate and dedicated colleagues.
Learning from our Chief Technology Officer, a highly experienced engineer.
Possibility to further grow within the company, due to our rapid growth new opportunities are unfolding quickly.
Responsibilities:
Work on all aspects of the core product day-to-day
Own the features you work on from day one. From technical discussion to the feature release
Work closely with the Product team to provide technical input during groomation
Testing the code you write. Including e2e functional tests and unit tests
Actively work with colleagues within the team to collaborate on support issues, code reviews, and technical discussions
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