
Key responsibilities include
· Deep understanding Applying advanced AI/ML techniques, including core statistical methods like Markov chain, Genetic algorithms, NLP and computer vision, finetuning SLM
· Identifying new opportunities, rapidly build, test, and refine proof-of-concept (PoC) models, creating automated experiments and pipelines.
· Strong Python, pyspark proficiency, knowledge of SQL,KQL,Azure, Databricks, graph DB, Ontology will be very useful in this role
· Aptitude to solve different, unfamiliar business problems is key to the role
· Should have a mindset of learning and experimenting with new methods and technology
· Education: Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
· Experience: 8+ years of experience in data science, with a proven track record of developing innovative AI/ML models.
· Technical Proficiency: Advanced knowledge of Python or Java for data analysis. Expert skills in SQL and data mining techniques.
· ML Expertise: Deep experience with frameworks like TensorFlow, PyTorch, and Scikit-learn.
· Analytical Mindset: Ability to handle unstructured data and apply statistical methods to validate hypotheses.
· Communication: Strong ability to communicate findings to stakeholders.