Responsibilities
Develop AI/ML models to optimize operations.
Analyse large datasets to highlight patterns and provide actionable insights.
Build AI models for real-time decision-making systems to enhance operational efficiency.
Implement AI solutions for into existing operating systems, working closely with cross-functional teams.
Requirements
5+ years of experience developing and implementing AI models into live applications.
Strong proficiency with Python.
Previous experience with NLP, Prompt Engineering, Computer Vision, or Time-Series data.
Familiar with Machine Learning frameworks such as Tensor Flow and Pytorch.
Experience with AI models such as LLM, ARIMA, LSTM, XGBoost, and Anomaly Detection Models.
Familiar with AWS or GCP cloud platforms.
Experience working with big data tools, such as Spark and Databricks.
Fluent with SQL and No SQL databases.
Great English speaking and writing skills.
