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 Architecture, Data Engineering, Data Governance, Data Quality, Data Lake and Data Warehouse, Data Science, DataOps, Data Discovery, Enterprise BI, Data Visualization Data Science Toolkit : - IDEs, Jupyter, Data Analysis & Scinetific Computations libraries (NumPy, SciPy, Pandas, SciKit, Matplotlib), Tableau, Plotly, Log Analytics AI/ML & Analytics : - Artificial Intelligence & Machine Learning, Model Building & Deployment, Generative AI, Architectures (Transformers/Diffusion), LLMs, Vector Database, MLOps Cloud : - Cloud Assessment, Enablement, Migration, Deployement (AWS, Azure & GCP), Cloud Data Warehouse Databases : - Teradata, MSFT SQL Server, Oracle, NoSQL databases (MongoDB), ELK, Snowflake, Postgres, MySQL Data Management Tools & Web Services : - Informatica ETL, Eclipse IDE, REST/SOAP web services AI Algorithms : - Linear/Logistic Regressions, Classification, Clustering, NLP, LSTM, Time Series Analysis, Ensemble Techniques (Decision Trees etc), Sentimental Analysis People Leadership : - Stakeholder/Team Management (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/23/2024