Machine Learning (ML)ML Engineer
HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.
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Responsibilities:
- Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
- Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
- Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
- Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
- Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
- Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
- Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
- Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
- Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
- Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
- Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
- Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.
Qualifications:
- Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
- Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
- Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
- Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
- Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
- Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
- Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
- Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Data ScienceSenior Full Stack Python Engineer at Silicon Valley AI company
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Company |
Photon Commerce (http://www.photoncommerce.com">www.photoncommerce.com)
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Title |
Senior software development engineer
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Commitment |
Full-time. Remote (San Francisco, CA). Starting as soon as possible.
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About the company |
Photon empowers financial services and eCommerce businesses with computer vision to automate invoices and receipts. Photon turns paper and pdf invoices, receipts, POs, and packing slips into a modern collaboration platform for commerce, preventing problems before they become costly. Backed by the Nasdaq Entrepreneurial Center and Village Global, its leadership brings experience from eCommerce and SaaS unicorns, Google AI, Y Combinator, Stanford, and 4 exits and an IPO.
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What you will do |
· Build a python/Django/Flask app that processes PDFs, images, invoices, and receipts for Quickbooks and Shopify · Create integrations, APIs for the captured structured data · Build a document and invoice collaboration app with embedded chat, like Slack for documents/invoices · Deploy the app into production
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Experience |
· 6-10 years of experience having launched apps in production with real users in React, Node, Javascript, Python, Django/Flask, SQL, AWS, and full-stack web development · Have repos and/or demos to show your previous work · Knowledge in and/or passion for enterprise SaaS, and AWS devops · Excellent communication, critical thinking, problem-solving, and team skills
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What you’ll receive |
· Join an exciting, high growth startup led by serial entrepreneurs and backed by top tier Silicon Valley investors and billionaire industry leaders in tech · Competitive compensation commensurate with experience and performance
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- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
- D in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems
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- In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
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- Understating and experience in openCV library
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- Understanding of engineering principles and a clear understanding of data structures and algorithms
- Experience in writing production level codes using either C++ or Java
- Experience with technologies/libraries such as python pandas, numpy, scipy
- Experience with tensorflow and scikit.
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1) Someone who had worked on Mainframe Operations(Console /Batch).
2) Must have worked on OPC tools.
3) Exposure in batch process, console monitoring etc.
4) Aware of START, STOP, MVS, IPL PROCESS, etc
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon