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MLOps Engineer

Human Resources's profile picture
Posted by Human Resources
3 - 5 yrs
₹12L - ₹20L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
CI/CD
DVCS
skill iconMachine Learning (ML)
skill iconKubernetes
skill iconAmazon Web Services (AWS)
AWS CloudFormation
skill iconDocker
Airflow

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls 


Your Roles and Responsibilities

We are looking for an experienced MLOps Engineer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be a key member of a team in decision making, implementations, development and advancement of ML operations of the core AI platform.

 

 

Roles and Responsibilities:

  • Work closely with a cross functional team to serve business goals and objectives.
  • Develop, Implement and Manage MLOps in cloud infrastructure for data preparation,deployment, monitoring and retraining models
  • Design and build application containerisation and orchestrate with Docker and Kubernetes in AWS platform. 
  • Build and maintain code, tools, packages in cloud

Requirements:

  • At Least 2+ years of experience in Data engineering 
  • At Least 3+ yr experience in Python with familiarity in popular ML libraries.
  • At Least 2+ years experience in model serving and pipelines
  • Working knowledge of containers like kubernetes , dockers, in AWS
  • Design distributed systems deployment at scale
  • Hands-on experience in coding and scripting
  • Ability to write effective scalable and modular code.
  • Familiarity with Git workflows, CI CD and NoSQL Mongodb
  • Familiarity with Airflow, DVC and MLflow is a plus
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About Synapsica Technologies Pvt Ltd

Founded :
2017
Type :
Services
Size
Stage :
Raised funding

About

Synapsica is a HealthTech and Teleradiology firm founded by alums from AIIMS Delhi, IIT - KGP & IIM - A with a vision to increase accessibility of diagnostic services to every corner of world. We are developing Artificial Intelligence for Radiodiagnosis to aid radiologists by reducing errors, improving efficiency and automating any monotonous work. Presently, our radiologist and tech panel has some of the best talent from top institutes in the country. We use NLP, Computer Vision & Deep Learning based software products to assist diagnosis in X-Ray, CT and MRI scans. Our Machine Learning automation allows for workflow management at Diagnostic Centers bringing efficiency to the entire process of stakeholders coordination, disease interpretation & report generation. Through our efforts we hope to bring accountability, standardization, efficiency and hence better patient care to the medical field.
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Tech stack

skill iconKubernetes
skill iconAmazon Web Services (AWS)
skill iconDocker
skill iconPython
Firebase
skill iconMongoDB
skill iconReact.js
skill iconNodeJS (Node.js)
skill iconMachine Learning (ML)

Company video

Synapsica Technologies Pvt Ltd's video section
Synapsica Technologies Pvt Ltd's video section

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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