Job Description

About Concord Technologies

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Our fax-delivery suite of products allows our clients to exchange millions of patient information, insurance, and other documents safely, swiftly, and securely every business day. Concord's use of Artificial Intelligence, analytics, and other cutting-edge technology also analyzes the data being transferred within a fax, then delivers it into the right inboxes and workflows, fundamentally changing how data moves.





More than 2,300 healthcare organizations, financial providers, and companies in other equally document-intensive industries trust Concord to deliver their confidential and sensitive information. We care about our customers, and with a retention rate of more than 98%, it's clear they love the service and value we provide.





We have been in business since 1996 and growing faster than ever. Our products are getting smarter, our customers are getting bigger, and our user community is exploding. To continue meeting market demand and anticipating our customers' needs, we are expanding our offerings. That means assembling a world-class team to take us through this next phase of growth. We hope you'd like to join us!

Job Summary:

We are looking for energetic, self-motivated, and highly skilled hands-on AI Engineers to work on an extraordinary enterprise product based on AI and ML engineering. You will be responsible for implementation of production ready models in the areas of Natural Language Processing, Image Processing, and Machine Learning. You will work on rapid-prototypes, development, and implementation of scalable ML models in the development of the E2E product with the help of Machine Learning and Natural Language Processing.

Job Responsibilities:

Skills Required: - Engineer AI - Datascience focus.


Ability to write scalable code in Python and/or Java Hands on experience in TensorFlow / Pytorch with solid understanding of the Deep learning concepts Strong knowledge on Maths, Probability and Statistics Proficient in Natural Language Processing, Image processing and the mathematical concepts behind it Experience in productionizing and handling production environments Experience in deploying ML models into production Experience in NoSQL like MongoDB etc. Experience in multithreading and multiprocessing Excellent team player

Desired Skills/Nice to have

Experience in Java programming Experience in working in- Azure/AWS/ GCP with Docker and Kubernetes Strong command in data modelling, software architecture and data structures Experience in Microservices architecture

General Duties

Coming up with algorithmic approaches to handle the problem statements Converting the prototype into algorithmic framework Demonstrating the model performance and its value addition to the platform Deployment of the ML models into cloud Closely working with our Engineering / DevOps teams in implementing solutions at scale Monitoring production logs Root Cause on anomalies and fixing

Qualifications and Abilities:

Preferred degree in Computer Science, Mathematics or similar courses or fields 3+ Years of experience in AI Engineering role Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams * Working knowledge of agile framework and processes