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vthetecheejobs
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PARSPEC is hiring for Machine Learning Engineer | Apply Now
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Role :Machine Learning Engineer
Location :Bangalore, India
Job Description
Parspec is transforming how $5 trillion in building construction products are sold annually around the world by digitizing and organizing the industry’s product data. Our digital platform facilitates the process of finding the correct items for projects by making data more easily available and valuable. It also helps the supply chain create new leads and conclude deals more rapidly. Workflow automation technologies and proprietary AI make these advantages possible.
Founded in 2021, Parspec has raised over $11M in seed financing from leading deep tech and construction industry investors to achieve its ambitious mission, including Innovation Endeavors (founded by former Google CEO Eric Schmidt). We would like to extend an invitation to you to lead innovation for one of the world's oldest and biggest businesses!
The leaders of Parspec are seasoned building supply chain professionals and technologists that share a passion for digitally revolutionising our sector:
Responsibilities
- You will be an important contributor to the development of the core software as well as the preservation of our close-knit organization's brilliant culture as an early member of the engineering team. You are going to:
- - Take part in the conception, creation, and implementation of AI systems that are comparable to the most advanced currently on the market.
- Take part in the creation, advancement, and implementation of AI systems that match the most cutting-edge products on the market right now.
- - Work closely with the business, product, and engineering teams to fully enjoy the product design, development, and deployment cycle.
- We believe there is a unique chance to lead an entire industry into the digital era, and we can't wait to collaborate with driven leaders like you to make this a reality.
- For our app, design and create recommendation systems, computer vision, and natural language processing.
- Create and implement NLP, computer vision, and recommendation systems for our application.
- - Create, train, and implement machine learning and deep learning models.
- - Participate in the cycle of app development, integration, testing, and product design.
- - Include ourselves in the app development, integration, testing, and product design cycle.
- - Create cutting-edge, highly scalable products that can handle massive data volumes and be expanded to accommodate onboarding additional customers.
- - Closely collaborate with end users, UX designers, and product managers to integrate software and AI components into a functioning system.
- Collaborate closely to integrate software and AI components into a fully functional system with product managers, UX designers, and end users.
- - Create comprehensive data and machine learning pipelines from start to finish.
- - Maintain our reputation for superior engineering
Education Qualifications
- a bachelor's or master's degree in a science or engineering discipline, together with strong analytical, critical thinking, and programming abilities
- Although freshmen are welcome to apply, we would prefer candidates with at least a year of relevant experience in this industry.
- - Excellent conceptual knowledge of deep learning and machine learning. deep learning proficiency in natural language processing or computer vision
- - Hands-on experience with Python to implement machine learning projects and familiarity with numpy, sklearn, matplotlib, pandas, and other Python libraries
- - Familiarity with TensorFlow/Keras or Pytorch deep learning model implementation and training
- - Expertise in deploying and conditioning deep learning models in Pytorch or TensorFlow/Keras
- - The capacity to write error-free, streamlined, and efficient code.
Skills
- - The capacity to write clear, effective, and error-free code.
- familiarity with OCR and PDF processing frameworks
- - Accomplished coursework or virtual specialisations in deep learning and machine learning
- - Taking part in open-source projects, Kaggle challenges, competitive programming, etc.
How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
