| Job Description: |
Senior/Mid-Level
Lead the strategic design, development, and deployment of advanced artificial intelligence and machine learning solutions across the organization. This role requires deep technical expertise, strong leadership capabilities, and the ability to align AI initiatives with business outcomes and enterprise‑level strategy Cloud Infrastructure : Amazon Bedrock – Hosts and orchestrates LLMs, agent workflows, tool-calling, and generative AI capabilities.
Amazon SageMaker – Trains, fine‑tunes, deploys, and monitors ML models used by agentic systems.
AI & Analytics
Python ML Frameworks (TensorFlow, PyTorch) – Used to build, train, and experiment with predictive, ranking, and embedding models.
Generative AI – Powers agent reasoning, content creation, scenario simulation, and autonomous task execution.
Data Science Pipelines (ML logic) – Provides model training, scoring, feature engineering, and NBA/segmentation algorithms for agent decisions.
Data Layer
Elasticsearch – Enables fast retrieval and context grounding (RAG) for agent responses using embeddings and indexed data.
Big Data Platforms (AI/ML portion only) – Source of training data and features consumed by ML models. |
