Data Science

Role: Data Science

Location

Exp

Requirement:

Role Definition:

Skills:

• Proficient:

• Languages/Framework: Fast API, Azure UI Search API (React)

• Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks

• Proficiency in Python and R

• Cloud: Azure Cloud Basics (Azure DevOps)

• Gitlab: Gitlab Pipeline

• Ansible and REX: Rex Deployment

• Data Science: Prompt Engineering + Modern Testing

• Data mining and cleaning

• ML (Supervised/unsupervised learning)

• NLP techniques, knowledge of Deep Learning techniques include RNN, transformers

• End-to-end AI solution delivery

• AI integration and deployment

• AI frameworks (PyTorch)

• MLOps frameworks

• Model deployment processes

• Data pipeline monitoring

• Expert: (in addition to proficient skills)

• Languages/Framework: Azure Open AI

• Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search

• Databases and ETL: Azure Storage Account

• Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning)

• Proficiency in deep learning frameworks (TensorFlow, PyTorch)

• Strong mathematical foundation (linear algebra, calculus, probability, statistics)

• Research methodology and experimental design

• Proficiency in data analysis tools (Pandas, NumPy, SQL)

• Strong statistical and probabilistic modelling skills

• Data visualization skills (Matplotlib, Seaborn, Tableau)

• Knowledge of big data technologies (Spark, Hive)

• Experience with AI-driven analytics and decision-making systems