Databricks with AI Developer

Infosys

0 years

0 Lacs

bengaluru east karnataka india

Posted:1 week ago| Platform:

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Skills Required

databricks ai developer python engineering code unity mlflow model deployment design data retrieval orchestration indexing discovery architecture monitoring risk compliance prototyping service automation git governance portfolio evidence github chatbot pipeline ml prototype

Work Mode

On-site

Job Type

Full Time

Job Description

What You Should Bring

Strong Python engineering background; comfortable building production-quality code.
Hands-on experience with Databricks (workflows, Delta Live Tables, Unity Catalog, MLflow, Model Serving).
Experience building AI chatbots, RAG pipelines, vector search, embedding stores, and private LLM deployments.
Understanding of architectural patterns for secure deployment in financial institutions.
Ability to independently take vague business problems and convert them into concrete AI products.
Comfortable demoing your work to senior stakeholders. What You’ll Do
Build AI-driven internal applications using Databricks (Python, MLflow, Unity Catalog, Model Serving).
Design, fine-tune, and deploy custom chatbots trained on private enterprise data (vector search, retrieval augmentation, LLM orchestration).
Integrate Databricks models with internal web apps, APIs, and tools already used inside the bank.
Build pipelines that handle ingestion, cleaning, indexing, and securing sensitive datasets.
Own the full lifecycle: discovery → architecture → delivery → monitoring.
Work closely with internal stakeholders (BI, Data Engineering, Ops, Risk, Compliance) to bring working AI solutions into production.
Operate with a “solve it first, explain it later” mindset — rapid prototyping, fast iteration, and clean handovers.
Experience with Databricks Mosaic AI (vector search, model serving, agents, etc.).
Experience building internal developer tools, self-service portals, or automation bots.
Strong Git discipline and comfort working with CI/CD.
Exposure to MLOps and governance processes in regulated industries. ⸻ Portfolio Requirements We want to see evidence that you can build: Please include at least one of the following in your application:
GitHub repository showing an AI or LLM-based project (chatbot, agent, RAG pipeline, ML pipeline, service backend, etc.).
Demo videos or screenshots of AI tools you’ve built.
Links to deployed models, APIs, or internal-project writeups (sanitized for confidentiality). If there’s no portfolio, we’ll ask for a technical challenge. ⸻ What Success Looks Like Within 90 days, you should be able to:
Deliver a working prototype of at least one internal AI application.
Deploy a Databricks-served LLM or endpoint consumed by internal teams.
Build a chatbot or assistant trained on bank-specific data sources.
Raise and solve your own problems without waiting for permission.

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