Espalier - Leadership Role - Data Analytics - Gen AI (10-18 yrs)

We are seeking a highly skilled and versatile professional with a strong background in AI, machine learning, data science, and client management to join our team. The ideal candidate will bring a blend of technical expertise and business acumen, capable of delivering data-driven solutions and leading engagements to drive client success. Key responsibilities include:

Large Data Handling: Lead projects involving large-scale data sets, including both structured and unstructured data, with a focus on designing and implementing data processing pipelines and utilizing big data tools (e.g., Hadoop, Spark).

AI and Machine Learning Expertise: Apply contemporary AI techniques, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Graph RAG, with hands-on experience in model building, feature engineering, and traditional ML/NLP.

Analytics and Visualization: Leverage analytics platforms (e.g., Tableau, Power BI, Looker) to translate business requirements into insights, using statistical analysis and data storytelling to enable data-driven decision-making.

Client Management: Manage client relationships by understanding their business needs, communicating complex technical concepts clearly, and leading cross-functional teams to deliver successful project outcomes.

Strong Pedigree: Demonstrate a solid academic and professional background, with a degree in Computer Science, Data Science, or a related field, and a history of working with reputable organizations.

Continuous Learning: Stay current with industry trends and advancements in AI/ML, participating in forums, certifications, or contributing to publications in the field.

This role is ideal for someone who thrives at the intersection of technology and business, with a passion for driving impactful solutions.