Rapid Acceralation Partners

Position : Full Stack Developer

Location : Chennai

Experience : 4 – 6 Years

Job type : Permanent

Team: You will be part of an engineering team, developing software that enables customers to automate business processes with low-code/no-code. The product(s) that you will work on have Web Applications, Web Services, AI components/services, Desktop and Browser automation 

components, Data Pipelines, Analytics, Frameworks for development/testing/CICD and more.

Responsibilities: Full Stack Engineer, i.e.

• Work on any/all layers of existing or new products, developing end to end features

• Build generic or custom solutions for PoCs

• Package/deploy/support/maintain the product in production and dev/test environments

Skills - Must have:

• Full Stack Development

• React

• Node.js

• TypeScript

• MongoDB

Skills – Good to have:

• Docker

• Node-RED

• DevOps - CI/CD

• Cloud deployment, architecture and technologies

Must-have:

-Overall 3 - 5 years of experience

-At least 2+ years Front End

-At least 2+ years Backend development

-Node.js

-Any front-end technology (React.js is not mandatory)

-Any NoSQL (non-relational) database like MongoDB, Cassandra etc.

-Must have worked mostly on Web Applications

-Docker

-Either Competitive Programming Experience (leet code, codechef, hackerrank etc.) OR personal project submissions on github etc.

Optional / Good-To-Have:

-Aws / Azure / GCP experience

-DevOps

Roles & Responsibilities:

-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.

-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.

-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products

-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.

-Define and develop ML infrastructure to improve efficiency of ML development workflows.

Must Have:

- Experience in productizing and deployment of ML solutions.

- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR

. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.

- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)

- Years with relevant experience:

5+ -Experience or Knowledge in ML OPS.

Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.