Deep Understanding of Data Landscape:

Data Modeling and Architecture (conceptual, logical, and physical).

Data Integration and ETL/ELT processes. 

Data Warehousing and Data Lakes (e.g., Snowflake, Databricks, Azure Data Lake Storage, AWS S3, Google Cloud Storage).

Big Data technologies and frameworks (e.g., Spark, Hadoop). Database systems (SQL and NoSQL).

Data Governance, Quality, and Security principles.

Data Science & Machine Learning

Proficiency:

Solid understanding of machine learning algorithms (supervised, unsupervised, deep learning).

Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Feature engineering, model selection, training, and evaluation.

Model deployment and monitoring (MLOps principles).

Familiarity with Explainable AI (XAI) concepts.

Generative AI (GenAI)

Knowledge:

Understanding of Large Language Models (LLMs) like GPT, BERT, and their applications.

Experience with GenAI frameworks and tools (e.g., OpenAI API, Hugging Face Transformers).

Prompt engineering and fine-tuning techniques.

Knowledge of different GenAI modalities (text, image, audio, video).

Understanding of responsible AI considerations for GenAI (ethics, bias, safety).

Solution Architecture Skills:

Ability to design end-to-end technical solutions that address business problems.

Understanding of various architectural patterns and best practices.

Experience with cloud platforms (AWS, Azure, GCP) and their data, AI/ML, and GenAI services.

Knowledge of microservices architecture, containerization (Docker, Kubernetes), and API design.

Ability to consider scalability, performance, security, and cost-effectiveness in solution design.

Business Requirement Analysis:

Ability to understand and translate client business needs and challenges into technical solutions.

Solution Selling:

Ability to articulate the value proposition of proposed solutions to technical and non-technical audiences.

Experience in responding to RFIs/RFPs and crafting compelling technical proposals.

Presentation and Communication Skills: 

Excellent verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely.