Sr Mean Stack Developer

Job Description

This is a remote position.

solves niche problems in the financial services industry. And many times, which are underserved and unsolved. This means you not only get to work with leading FIs but also be the first to solve the problem in the industry. We are a people-first organization with a very open culture.

's team consists of highly experienced researchers and data scientists in deep learning and machine learning. Since 2013, has worked with leading enterprises like banks, insurance companies and financial service players across the globe.

Responsibilities:

Work with the product team to design-develop a variety of features and reusable components

Write production quality code for a containerized micro-service based architecture

Analyze and optimize front-end and back-end code while pursuing simplicity, efficiency, reliability and performance

Use independent judgment to take existing code, understand its function, and change/enhance as needed

Collaborate provide technical guidance, and engage in design and code review for other team members

Design & implement complex archiectures that supports scalaing ML models.

Requirements

Requirements :

3+ years of experience designing and developing highly scalable web applications

Expert level skills with AngularJS, Node.JS and Express

Strong knowledge of MongoDB

Experience in Responsive Web Designs and UX Design is a plus.

Benefits

What'll you get:
• Highly competitive and meaningful compensation package
• One of the best health care plans that covers not only you but also your family
• A great team
• Micro-entrepreneurial tasks and responsibilities.
• Career development and leadership opportunities

Requirements
We are looking for Deep Learning Engineers who - Has a strong academic background in concepts of machine learning and deep learning. Hands on experience in working with deep learning frameworks like tensorflow, pytorch etc Enjoys working on various DL problems that involves using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on premise environments. Should be comfortable and flexible in working in an environment where priorities evolve Writes clean code has the habit of maintaining a clean documented code Understands best practices in ML/DL and is continuously open to learning. At least 2+ years of experience in ML/DL Additional bonus points if: You've worked in problem statements related to Financial Services You published your work in any journals Experience with startups Your responsibilities: Working with data science team in building/optimizing the current DL systems Own the model building and model deployment tasks like data collection, data cleaning, creating data pipelines, generating & analysing model output, model validations and deploying them in production Sync/rotate between internal product work and client deployment work Work closely with product managers and management team on micro & macro goals Be an active part in the product discussions and contribute to the product development roadmap