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Infrrd

https://www.infrrd.ai/

About

Infrrd is an award-winning AI firm focused on applying machine learning to improving business processes. The company’s platform employs next-generation AI capabilities to help enterprises transform their businesses. Proprietary technology removes bottlenecks caused by manual data entry and unlocks data from complex documents to power digitization. 

Infrrd’s unique ML-first approach can automatically extract data from documents with complex visual elements, surpassing OCR’s performance limitations to help you maximize straight-through processing. With over a decade of industry experience, Infrrd draws talent from around the globe and builds close-knit teams driven to help enterprises worldwide gain competitive advantages and better serve their customers. It’s constantly innovating via Infrrd Research Labs, which explores cutting-edge solutions and tackles the industry’s toughest challenges. 

Infrrd is committed to making the impossible possible, and guarantees its accuracy, increasing extraction efficiency to give customers a worry-free innovation experience. The company has been recognized for its role in providing a strong work-life balance and has also won awards for Best CEOs for Women and Best CEOs for Diversity.

Active Jobs

16 Jobs

Category

Software Development

Headquarters

San Jose, California, United States

Recent jobs

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Trainee Quality Analyst

Infrrd

Bengaluru, Karnataka, India

Posted: a month ago

Join Infrrd as a Trainee Quality Analyst and be part of a team working on an Intelligent Document Processing platform. Ideal candidates have a good engineering or master’s degree in Computer Science or related fields, knowledge in manual and automation testing, and a strong willingness to learn new technologies.

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Trainee DevOps Engineer

Infrrd

Bengaluru, Karnataka, India

Posted: 4 months ago

Hello there! Infrrd here. Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we’ve been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks and much much more.   And now, we are on the lookout for Trainee DevOps Engineers     Someone who has:   A Good Engineering or master’s degree from a reputed university in Computer Science, Information Science or Information Technology (year of graduation-2024) with an aggregate of 60% throughout academics. Basic Understanding of AWS: Familiarity with AWS cloud services such as EC2, S3, RDS, Lambda, etc. Scripting Knowledge: Basic understanding of scripting languages such asPython, Bash, or PowerShell. Version Control: Familiarity with version control systems like Git. Problem-Solving Skills: Strong analytical and problem-solving skills. Eagerness to Learn: A passion for learning new technologies and staying up-to date with industry trends. Communication Skills: Good verbal and written communication skills. Operating Systems: Experience working with Linux and Windows operating systems Good Aptitude & Trouble the Trouble Attitude Knowledge of Object-Oriented Programming (OOP’s) concepts Ability and strong willingness to learn, explore and master new emerging technologies. Excellent communication, analytical and problem-solving skills Positive attitude and work ethic, passionate about the web and the desire to challenge own limit.   Key Responsibilities: Assist in AWS Cloud Management: Support the team in managing AWS cloud infrastructure, including EC2 instances, S3 buckets, RDS databases, VPCs, and other AWS services. Automation and Scripting: Learn to develop automation scripts using languages like Python, Bash, or PowerShell to streamline deployment and management tasks. CI/CD Pipelines: Assist in the creation, maintenance, and optimization of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools like Jenkins or similar. Monitoring and Logging: Help set up and maintain monitoring and logging systems using AWS CloudWatch, ELK Stack, Prometheus, Grafana, or other relevant tools. Infrastructure as Code (IaC): Learn and assist in writing infrastructure as code using tools like Terraform, or Ansible. Security and Compliance: Assist in implementing security best practices and compliance requirements within the AWS environment. Collaboration: Work closely with developers, QA engineers, and other stakeholders to ensure smooth deployment and operation of applications. Learning and Development: Continuously learn and stay updated with AWS services and DevOps best practices.   Looking forward to speaking with you!

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Machine Learning Intern

Infrrd

Bengaluru, Karnataka, India

Posted: 4 months ago

Hello there!  Infrrd  here.   Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. We are looking for  Machine Learning Intern  who will help us in designing, experimenting and implementing deep learning based Natural Language Processing  architectures.   Someone who has: Currently pursuing a Bachelor’s or Master's degree or PhD in computer science or a related discipline with a focus on artificial intelligence, machine learning and computer vision. A mathematical, statistical and probability inclination and deep understanding of some AI concepts. Strong coding skills in Python or any AI language of choice. Academic / Industry experience in Computer Vision or NLP and Machine Learning. Expertise in Clustering Algorithms such as DBSCAN, K-Mean, and etc Expertise in Cross-Modality Knowledge Understanding of the usage of Transformer-based Language Models for textual embedding Understanding of the usage of Computer Vision Models for image embedding or feature extraction High Dimensional Vector Visualizations using PCA, TSNE Ability to run experiments scientifically and analyze results.     Good to have: Knowledge into Auto encoders, Latent semantic analysis (LSA), Latent discriminant analysis (LDA), Principal component analysis (PCA), Kmeans, DBSCAN, mediod allgorithms, Kmeans, DBSCAN, mediod algorithms, Fischer Discriminant Analysis (FDA)   What you will do: Breaks down and understands complex business problems, translating it to a machine learning problem. Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements. Collaborates with development teams to test and deploy machine learning models. Creates metrics to continuously evaluate the performance of machine learning solutions. Keeps up with new tools, algorithms and techniques in machine learning and AI to implement them in the organization.    Looking forward to talking to you.