Azure Open AI Services & Data Analyst - NLP/Machine Learning (7-10 yrs)

Key Responsibilities :

- Proficiently utilize the Azure OpenAI API for various natural language processing tasks (e.g, text generation, translation, sentiment analysis, question answering).

- Expertise in deploying and managing AI models within the Azure environment.

- Deep understanding of different Azure OpenAI models (e.g, GPT, Codex) and their strengths/weaknesses.

- Strong knowledge of text embedding techniques (e.g, Word2Vec, GloVe, BERT embeddings).

- Hands-on experience with Azure Cognitive Search for vector search or other vector stores (e.g, FAISS, ChromaDB).

- Ability to leverage semantic similarity and retrieval for tasks like recommendation systems, search relevance, and document clustering.

- Expertise in fine-tuning pre-trained language models to specific tasks and datasets.

- Deep understanding of few-shot learning and in-context learning paradigms.

- Proven ability to craft effective and concise prompts for various AI tasks (e.g, text generation, summarization, question answering).

- Familiarity with prompt design patterns and best practices for optimal model performance.

- Experience in optimizing prompts for specific use cases and business objectives.

- Proficiency in extracting structured data from various document formats (PDF, Word, images).

- Experience with libraries like PyPDF2, python-docx for text extraction and manipulation.

- Knowledge of layout analysis and content structuring techniques for efficient data processing.

- Proficient with Azure Functions and Azure App Service for deploying and managing serverless applications.

- Strong understanding of Azure storage solutions (e.g, Blob Storage, Cosmos DB) for data storage and retrieval.

- Experience with other relevant Azure services (e.g Azure Data Factory, Azure Synapse Analytics).

- Strong proficiency in Python programming with a focus on data science and machine learning.

- Familiarity with Python libraries for AI/ML (e.g, TensorFlow, PyTorch, scikit-learn).

- Experience with data manipulation, preprocessing, and feature engineering techniques.

- Knowledge of RESTful API design principles and best practices.

- Experience with API development and integration using Python frameworks (e.g, Flask, FastAPI).

- Understanding of API documentation and version control.

- Proficiency in Git and GitHub for version control, code collaboration, and code reviews.

- Understanding of ethical considerations and responsible AI practices.

- Awareness of bias mitigation techniques in AI models and the importance of fairness and transparency.

- Programming experience in C# and .NET.

- Experience with client-facing communication and project management.

- Knowledge of containerization technologies (e.g, Docker, Kubernetes).

- Experience with MLOps practices (e.g, model monitoring, retraining, deployment pipelines).

Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- 7 to 10 years of relevant experience in AI/ML, with a strong focus on Natural Language Processing.

- Proven experience with Azure OpenAI Services and other Azure cloud technologies.

- Excellent communication, problem-solving, and analytical skills.

- Strong teamwork and collaboration skills