Senior Director / Data Expert - Generative AI

Job Description :

• Should have worked on Data Sourcing & Data Privacy for Generative AI projects
• Strong Hands-on skills for Data pipeline orchestration
• Knowledge of Master Data Management concepts and techniques including modelling, data loads, Data lineage, metadata and data usage
• Experience with one or more EDM toolsets such as OpenText, IBM FileNet, Microsoft SharePoint, and Oracle WebCenter Suite
• Develop best practices, standards, and methodologies to assist in the implementation and execution of Data Governance
• Designing, developing, and researching Machine Learning systems, models, and schemes through Data Science
• Administer the processes for receiving, documenting, tracking and investigating all complaints regarding alleged breaches of Privacy Policies and Practices
• Identify Privacy and Data protection-related risks and driving mitigation efforts throughout the organization
• Should be able to define / Implement Data Protection & Privacy strategies that protect consumers / employee data
• Familiarity with Deep Learning, Machine Learning and NLP / NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)
• Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services
• Solid knowledge and understanding of supervised, unsupervised and reinforcement learning machine learning algorithms.
• Understanding of the current state of AI / ML, Large Language Models, and Generative AI techniques.
• Identify Data, Data Quality Verification & Validation, Prepare datasets, develop predictive models and Algos, Data Insights, Test & Validate algorithm and models using statistical and other visualizations
• Hands-on experience on one or more LLM models (GPT, LLaMA, BLOOM, BERT, T5, PaLM, Meta, Google Gen AI Studio etc)
• Hands-on experience in AI Cloud Tools (AWS Sage Maker, Tensor Flow, PyTorch, MS Azure, OpenAI, Hugging Face), MLOps / AIOps (domino, mlflow), Low Code RPA (Appian, UI Path), Big Data, Python, Java JS, Full Stack, No SQL, API, Docker & Kubernetes

Basic Skill Set :

Data & Business Intelligence :

Data Science Toolkit :

AI / ML & Analytics :

Cloud :

Databases :

Data Management Tools & Web Services :

AI Algorithms :

People Leadership :

(ref : hirist.tech)