What you bring along:

• 3+ years of experience with Data Science;
• Proficient in Python for data manipulation and analysis;
• Good at Py Torch/Tensor Flow, or Keras for building and training machine learning models;
• Competent in Generative AI techniques, including the use of retrieval-augmented generation (RAG) methods and fine-tuning of large language models (LLMs);
• Knowledge of standard ML libraries such as scikit-learn, pandas, and Num Py;
• Ability to work with vector databases;
• Knowledge and practical experience with cloud technologies (GCP, Azure, or AWS);
• English – Upper-Intermediate or higher.

This is your mission:

• Gather, clean, and preprocess large datasets from various sources to ensure high-quality data for analysis;
• Design, implement, and evaluate machine learning models using frameworks such as Py Torch, Tensor Flow, or Keras to solve complex business problems;
• Apply statistical methods to analyze data trends and patterns, conducting hypothesis testing and predictive modeling;
• Develop and implement Generative AI solutions;
• Utilize retrieval-augmented generation (RAG) methodologies to enhance the performance of AI models in real-world scenarios;
• Create and manage embeddings using vector databases;
• Optimize vector store queries and manage data storage strategies to ensure quick access and retrieval times.

Your benefits:

• We offer an attractive social and benefits package;
• Everyone at Avenga is subject to professional growth via our mentorship program;
• Our specialists get regular performance reviews and technical assessments to identify development plans;
• The company provides extended training and certification opportunities;
• We stay up to date with the industry by embarking on tech talks, webinars, conferences, and hackathons;
• Avenga cares for its employees’ well-being by providing well-rounded health insurance coverage and fitness compensation programs;
• Our employees’ families are no less important, as we offer maternity aid and financial support for a number of family reasons, including marriage and childbirth;
• The company fosters a sense of professional belonging and an environment of togetherness: we achieve things together and celebrate our milestones.