Design, build, and fine-tune machine learning models.
Work with large datasets to train algorithms.
Preprocess data, select appropriate models, and optimize their performance.
Develop and deploy machine learning and AI models in cloud platform to enable and support strategic priorities of DBI across departments.
Collaborate with stakeholders across organization to understand requirements, assimilate data needed, build predictive/prescriptive models, communicate results, and deploy predictions on edge or central database system for real time or batch predictions.
Developing and implementing appropriate RAG architecture for model deployment. Working closely with cloud data engineers to implement RAG effectively within cloud platform for efficient inference.
Staying current with generative AI enhancements and foundational models being available in the market and doing R&D on applicability on DBI use cases.
Build an AI infrastructure and set standards for leveraging available cloud platforms to enable and educate citizen data scientists to leverage the power of machine learning, Build self-serve AI framework.
Develop a strategic working relationship with cross-functional teams to align the data solutions to business KPI’s, levers and goals.
Drive cross-functional teams to meet business objectives and influence co-workers and stakeholders, fostering strong working relationships. Ability to stand by decisions and move forward with courage.
Lead several concurrent initiatives/projects to develop custom, easy-to-use self-service solutions to serve multiple stakeholder groups and business objectives.
Furnish analysis with analytical insight while maintaining completeness, accuracy, and documentation. Identify areas and define solutions to maximize value-add to the organization
Requirements & Skills:
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy using descriptive and predictive analytics that optimize statistical efficiency and quality of the model – feature engineering, feature selection, model evaluation, model selection, model drift evaluation, etc.
Strong Knowledge of supervised and unsupervised deep learning algorithms and experience in advanced deep learning libraries like TensorFlow, Keras, Pytorch, Caffe, Theano, etc.
Experience leveraging foundational models like Claude 3.5, GPTs, Gemini, Llama, etc.
Knowledge and experience in implementing ethical and responsible AI principles while implementing ML solutions are preferred.
Strong statistical knowledge and understanding of the application of algorithms based on data and business needs.
Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics.
Advanced analytical and problem-solving skills and an ability to work independently in a fast-paced and rapidly changing environment.
Entrepreneurial spirit – self-motivated, strong sense of ownership/accountability, and results-oriented with the ability to manage time and schedules effectively.
Master’s degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required
Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data)
Experience in model metrics monitoring, orchestrating ML workflows using pipelines, version control, and model drift management.
Experience working with underlying databases and tables. Understand table relationships to be able to do dimensional modeling; understand lookup tables and fact tables.
Ability to write reusable code components
Familiarity with programming languages such as R and/or Python/ Julia/ Scala
Communication skills including the ability to identify and communicate data-driven insights
Experience in the development and deployment of models in GCP including Vertex AI OR Azure Open AI
Experience in SQL for data mining, and feature engineering.
Experience with cloud infrastructure platforms (Google Cloud Platform) is preferable
