Data Scientist

Market insights

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

Key Responsibilities Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalization, industry proliferation, to product end-of-life Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry Develop and deploy software components based on microservices-based architecture Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs Requirements Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent Strong technical knowledge in AI Good understanding of the latest research and technologies in AI for production deployment Strong coding experience in programming languages such as Python and/or C++ Experience working with libraries for data manipulation, visualization, machine learning, and reporting. , TensorFlow, Torch Extensive experience with OpenAI and Claude code-based prompt engineering. Hands-on experience developing and deploying AI Agents, RAG and vector/graph databases. js) Team player with the ability to work in a cross functional team with excellent interpersonal skills Strong communication skills, both verbal and written, as well as strong presentation and engagement skills Position will commensurate with experience

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.