We are seeking an AI & Data Analytics Specialist to enhance business data workflows through advanced analytics, automation, and artificial intelligence. The role focuses on developing and integrating AI-driven solutions, optimizing data processing, and supporting innovative applications across wildlife conservation and operational activities.
Key Responsibilities:
Analyze existing data workflows and identify opportunities for automation and process optimization.
Develop and integrate advanced data processing, analytics, and AI-driven solutions.
Implement AI tools for image and sound recognition, large-scale data analysis, and pattern identification.
Explore and apply generative AI technologies, including LLMs, RAG systems, and AI agents.
Propose innovative, cost-effective solutions to improve operational efficiency and data management.
Monitor emerging technologies and recommend relevant applications to business operations.
Prepare technical documentation, activity reports, and user guidelines.
Train and support users in adopting AI tools and understanding their capabilities and limitations.
Coordinate with internal teams, external technology providers, and partners.
Provide technical support for international projects and operational activities.
Requirements:
Master's degree or equivalent qualification in Artificial Intelligence, Data Science, Advanced Data Analytics, or a related field.
Initial professional experience in AI, data analytics, or related technical projects.
Strong knowledge of AI technologies, including automated recognition, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
Proficiency in Python and R for data processing, automation, and advanced analytics.
Working knowledge of SQL Server and T-SQL.
Strong analytical and problem-solving skills, with the ability to identify and resolve process inefficiencies.
Excellent organizational skills, attention to detail, and ability to work independently and collaboratively.
Proficiency in English.
Willingness to travel internationally when required.
Preferred qualifications:
Experience developing AI applications for image recognition, audio processing, or large-scale data analysis.
Familiarity with wildlife conservation, ecology, or veterinary-related data applications.
Experience with data visualization tools such as Tableau or Power BI.
Basic knowledge of IT infrastructure, systems, and networking.
Familiarity with GIS tools, including Esri ArcGIS Pro.
Experience integrating AI solutions into existing business workflows.
Knowledge of French, Arabic, Russian, Kazakh, or Uzbek.
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