Digital Engineering Lead Engineer

:
Responsible for understanding the business problems to design high level to low level technical flows to solve them.
:
Must have a deep understanding of cloud systems (AWS, Azure, GCP), network architectures (subnets, P2P networks, NSGs, private endpoints), identity managements (Authentication and RBAC) and various services available in cloud systems.
:
Must have knowledge in Machine Learning (
statistical modeling, forecasting, classification)
, Deep Learning (ANN, RNN, CNN, Generative Adversarial Networks (GAN), transformers and other generative models and NLP systems). Knowledge on AI libraries like Langchain, LlamaIndex is a plus.
:
Understanding on various vector DBs (
FAISS , Milvus, Azure AI Search etc.)
and associated concepts like HNSW, similarities, embeddings, hybrid searches to effectively design solutions.
:
Should understand prompt engineering (Chain of Thought, Tree of Thought, consistency, Graph, React etc.) and designing prompt flows (Promptflow, ML flow etc.)
:
Must have problem solving abilities combined with good communication skills.
:
Must have an understanding DevOps tools and technologies. Knowledge on Azure DevOps, YAML, Shell scripting, Terraform, pipelines is required.
:
Needs to have an understanding on how to fine tune models, quantize models and deployment of the models.
:
Needs to have experience in designing composable and modular components
:
Should have worked on designing integrations between various cloud based services through APIs keeping modular designs in mind
:
An understating on data engineering tools and technologies like Databricks, Data factory and understanding of concepts like big data, data pipelines etc is good to have.
:
An understanding of front:end tools and technologies like React, Angular is a plus.
:
Having worked in a product:based environment and responsible for designing various components of a product is a plus.
Job Type: Permanent