Key Skills
Software Development Python Java Machine Learning Docker Rest API Software Engineer Software Programmer Software Developer
Education
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Diploma, B.Tech/B.E, Post Graduate Diploma, M.Tech
Job Description
NoBroker.com is the world's largest marketplace for brokerage free real estate. We are committed to making the entire real estate experience seamless and transparent. We have grown to be one holistic ecosystem for all your real estate needs, with products and innovations that change the way real estate works.
As an SDE in MLOps & Data Platform you will work closely with the Data Science & ML team to bring models to life for end users. You will also work with the Data Engineering team to code on top of databases that manage databases. You will talk about infrastructure, architecture, latency, scale,
impact & cost to Nerds who build models and As an SDE in MLOps & Data Platform you will work closely with the Data Science & ML team to bring
models to life for end users. You will also work with the Data Engineering team to code on top of
databases that manage databases. You will talk about infrastructure, architecture, latency, scale, impact & cost to Nerds who build models and Devs who write Pipelines.
If you can relate to what is talked about, you are the kind we are looking for.
What will you bring
Strong technical aptitude with a keen inclination to consumer products.
Undergraduate and/or graduate degree in Engineering, Computer Science, or other Technical fields
Fluency in Python and/or Java
Shrewd design thinking on building scalable systems
Hands-on Experience in writing REST APIs and microserver frameworks.
Excellent programming skills in implementing modular Software systems
Fluency in containerization technologies like Docker & orchestration frameworks like
Kubernetes
Knowledge of principles of Data Warehouses, Analytical Systems and Data Pipelines
Understanding of basic principles of ML, Training & Inference Pipelines
Strong interpersonal skills - verbal and written
Ability to function smoothly while aggressively in a collaborative environment with Product & Data Sciences