Machine Learning Engineer

Job Title: Machine Learning Engineer (AI ML)

Job Summary:

Primary Skills

• Master degree from Computer science, Mathematics, Statistics and other relative disciplines

• Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets.

• Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,…

• Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, …

• Excellent written and verbal communication skills for coordinating across teams.

• Experience in code management using Git Secondary Skills

• Experience in Ecommerce or Advertising verticals is a plus

• Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, …

• Experience on parallel computing and GPU acceleration is a plus

• Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must

Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.

 Assess the effectiveness and accuracy of new data sources and data gathering techniques.

 Transforming data science prototypes and applying appropriate algorithms and tools.

 Develop custom ML and non-ML models and algorithms to apply to data sets.

 Define the evaluation approach of models

 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

 Coordinate with different functional teams to implement models and monitor outcomes.

 Keeping abreast of developments in corresponding domains