Staff Engineer

1 month ago

india Solutioner Full time

Staff Engineer -Tech - Data Science


Role

Our Client are building an AI powered SaaS platform which includes our core NLP search and content retrieval engine, user-facing conversational experience and low code widget management console.


We are looking for passionate and hard working machine learning engineers who love solving hard problems in the Information Retrieval (IR), RAG and NLP space. If you are passionate about making ML models part of the primary product offering, you could be our next staff engineer (SDE III).



What you’ll do


● You will be responsible for development, deployment and monitoring of many ML models which are critical pieces of our product offering

● You will be responsible for understanding the product roadmap, resolving initial ambiguity for the tech team and defining overall tech architecture.

● You will be responsible for enriching the engineering culture and mentoring the junior engineers with the best SDLC practises.

● You will be critically reviewing code and design of developers and ensuring high standards.

● Your own code will set an example for junior SDEs to inspire.

● You will drive test driven development and ensure architecture enables team’s agility.

● You will work customer backwards and partner with product managers on solutioning. You will simplify the solution to be lean.

● You would be working closely with our head of engineering (ex-Google, Walmart & Rubrik), lead software engineer (formerly from Meta) and our co-founder data scientist (formerly a professor at UC Irvine & CMU).

● You will deliver great software on time meeting our customer needs.


What you’ll need


1. 8+ years of experience building, deploying on and maintaining ML models.

2. Strong expertise in architecting scalable systems with engineering and operational excellence.

3. You are frugal and focussed on software optimization to reduce infra cost.

4. You’re highly self-driven and willing to learn on the job, while getting stuff done.

5. You enjoy mentoring and developing team members and insist on higher engineering standards.

6. MS/BS in computer science or a highly quantitative field is highly desired.

7. Experience with AWS Sagemaker, ML Flow, Azure, and Kubernetes, familiarity with is a big plus.

8. Ability to work in an agile environment with a focus on continuous integration.


To Apply


If you are a passionate and experienced Staff Engineer -Tech - Data Science leader with a strong desire to build and shape the future, we encourage you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements to

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