What we are looking for:
6 to 8 years of experience in data science, machine learning, or a related field.
Masters or Graduation in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
Proven experience in developing and deploying machine learning models at scale.
Proficiency in programming languages such as Python, R, or Scala.
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with data visualization tools (e.g., Power BI, matplotlib, seaborn).
Deep understanding of statistical analysis, probability theory, and mathematical optimization.
Ability to perform data wrangling and feature engineering on large datasets.
Experience with SQL and NoSQL databases.
Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.
Experience of implementing and fine-tuning LLMs for business applications. • Relevant certifications in data science, machine learning, or artificial intelligence.
Strong collaborative skills and a team-oriented mindset.