Data and AI Applications Analyst

Responsibilities

• Develop, implement, and maintain AI and Machine Learning solutions to support decision-making and process automation
• Design, build, and manage scalable data pipelines and ETL/ELT processes
• Integrate data from diverse sources including databases, APIs, ERPs, sensors, and spreadsheets
• Develop predictive, prescriptive, and generative models using advanced ML and AI techniques
• Perform continuous testing, validation, monitoring, and optimization of models in production
• Create APIs, applications, and microservices to integrate AI solutions into corporate systems
• Develop analytical dashboards, reports, and visualizations to support business units
• Ensure data quality, security, governance, and integrity across all solutions
• Collaborate with business and IT departments to identify and implement AI opportunities
• Develop Proof of Concepts (POCs) and MVPs for production environments

Requirements

• Proven experience in developing Data, Analytics, Machine Learning, and AI solutions
• Proficiency in Python and core libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, FastAPI)
• Experience with ML model deployment, validation, and monitoring
• Strong knowledge of data engineering, processing pipelines, and data integration
• Solid skills in SQL and relational databases
• Experience with data visualization tools such as Power BI, Looker, Dash, or Plotly
• Knowledge of cloud computing environments (AWS, Azure, or GCP)
• Experience with Git and version control practices
• Knowledge of APIs, microservices, and system integration
• Advanced or fluent English (mandatory)

About the Company

Segula Technologies is a global engineering services company providing innovative solutions across various high-tech industries.