AVP - GEN AI Lead

We are seeking a talented and versatile Analytics & AI Specialist to join our dynamic team. This role combines expertise in General Analytics, Artificial Intelligence (AI), Generative AI (GenAI), forecasting techniques, and client management to deliver innovative solutions that drive business success. The ideal candidate will work closely with clients, leverage AI technologies to enhance data-driven decision-making, and apply forecasting models to predict business trends and outcomes.

AI & Machine Learning:

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

Knowledge of Generative AI (GenAI) tools and technologies, including GPT models, GANs (Generative Adversarial Networks), and transformer models.

Familiarity with AI cloud platforms (e.g., Google AI, AWS SageMaker, Azure AI).

Forecasting:

Expertise in time series forecasting methods (e.g., ARIMA, Exponential Smoothing, Prophet) and machine learning-based forecasting models.

Experience applying predictive analytics and building forecasting models for demand, sales, and resource planning.

Data Visualization & Reporting:

Expertise in creating interactive reports and dashboards with tools like Tableau, Power BI, or Google Data Studio.

Ability to present complex analytics and forecasting results in a clear and compelling way to stakeholders.

Client Management & Communication:

Strong client-facing skills with the ability to manage relationships and communicate complex technical concepts to non-technical audiences.

Ability to consult and guide clients on best practices for implementing AI-driven solutions.

Excellent written and verbal communication skills for client presentations, technical documentation, and report writing.

Additional Skills:

Project Management: Experience managing data analytics projects from inception to completion, ensuring deadlines and objectives are met.

Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models, handling large datasets, and performing distributed computing.

Business Acumen: A strong understanding of business KPIs and the ability to align AI and analytics projects with client business goals.