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.
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Job Description - Motion Graphics Designer
Role :
Join our exceptional team as a talented Motion Graphics Designer. Showcase your versatile skills in animation, illustration, and design while handling multiple tasks and projects. Bring captivating visuals to life, create engaging motion graphics, and craft stunning scenes. Apply now to unleash your creativity and be part of an innovative and dynamic team.
Requirements:
- Minimum of 1.5 years of experience in Motion Graphics, 2D animation, illustration, and design.
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Perks:
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Job Description for Python Backend Developer
2 + years expertise in Python 3.7, Django 2 (or Django 3).
Familiarity with some ORM (Object Relational Mapper) libraries.
Able to integrate multiple data sources and databases into one system.
Integration of user-facing elements developed by front-end developers with server-side logic in Django (RESTful APIs).
Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
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Industry Type: IT-Software, Software Services
Employment Type Full Time
Role Category Programming & Design
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Collaborate with business leads/managers, team members, RPO partners, recruitment agencies and other groups to run an effective recruiting unit
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The Opportunity
Near is looking for a Front-End Developer who is motivated to combine the art of design with programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce the application's visual elements. You will work with the Near Design team and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks and works.
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About Near
Near is the world's largest source of intelligence on people and places, processing data from over 1.6 billion monthly users across 44 countries. The Near Platform powers data-driven marketing and enrichment offerings through a suite of SaaS products. The users of the platform can leverage audience, spatial, retail, among other data in a privacy-led environment.
Founded in 2012, Near is headquartered in Singapore with offices in San Francisco, New York, London, Bangalore, Tokyo, and Sydney. Today, marquee brands such as News Corp and Mastercard work with Near to provide enhanced customer experiences.
Near is backed by leading investors including Sequoia Capital, JP Morgan Private Equity Group, Cisco Investments, Telstra Ventures, and Greater Pacific Capital. Visit www.near.co to find out more.