



Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!
As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.
Responsibilities:
- AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
- Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
- Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
- Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
- Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
- Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
- Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
- Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.
Requirements
- Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
- Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
- Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
- Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
- Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
- Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
- Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.
If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

About Zevo software labs pvt ltd
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Job Description
Condé Nast has a huge global footprint across 32 countries worldwide with total monthly visitors reaching more than 550 million. We aim to inspire, inform and entertain our audiences through our portfolio of well known brands such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ and many other leading brands.
Condé Nast has operations in America, Europe, South America and Asia.
The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus will include video and streaming platforms, increasing subscriptions and memberships, growing our events business, and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating and consolidating to a more centralised set of technologies and capabilities that can be easily leveraged by any brand or product experience is also a top business priority.
Engineering is responsible for scaling, building, deploying websites that serve over 500 million users globally. The global engineering team includes Product Engineering, Platform Engineering and Core Engineering.
About Platform Engineering
Our mission is to build modern media platforms to serve our omni-channel experiences for our portfolio of global brands such as Vogue, Wired, Vanity Fair, and Glamour which currently reaches over 500 million monthly users. We need your help to create new capabilities, and strengthen our existing ones, so that our brands can reach wider audiences through engaging digital experiences.
Quality, performance, experimentation, and speed of delivery are all principles at the heart of what we do as a Platform Engineering group. We have strong capabilities in areas such as editorial tooling, content delivery, design systems, advertising and commerce that we will continue to improve and grow. Our vision is to additionally invest in areas such as video, subscriptions, membership, and next generation editorial tools.
Teams are encouraged to explore creative ideas to meet the Product vision, backed by rigorous techniques. That’s why we have been investing in baking in experimentation into our platforms through a/b and multivariate testing. Currently we run hundreds of experiments in production every day!
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The Role
We’re looking for a React.js and Node.js engineer, with strong js fundamentals to join our team. We ideally hire engineers who are comfortable across the full stack, but we know you'll have a preference about being on the front- or back-end. As long as you're happy to work on both sets of tasks and willing to learn – you should carry on reading!
Our Tech
● Languages and Frameworks, in the priority: Javascript, Node.js, React.js, (Good to have - Ruby, Rails)
● Data: SQL, MongoDB, GraphQL, Elasticsearch
● Deployment: Docker, AWS, Kubernetes
● Source Control: Git, GitHub
How we work
● We take an agile approach to software development and build our software incrementally and responsively to usage, learning as we go.
● Infrastructure as Code everywhere.
● Pairing. We like knowledge sharing and upskilling.
● Remote friendly. We work with engineers across time zones & locations.
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● Mentoring colleagues at every level, and a willingness to be mentored by them
● Supporting your Tech Lead and Engineering Manager in technical decision making, solution design, and estimations.
● Pairing with members of your team to identify the most optimal solution. Regularly conducting code reviews to ensure high standards of engineering quality in the code that we write.
● Working within a cross-functional team that includes designers, business and product leads, UX engineers, and others.
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About you - Essential skills
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● Appreciation for functions of Product and Design, experience working in cross-functional teams.
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We are hiring for React Native profile.
Below is the JD:
Build pixel-perfect, buttery smooth UIs across both mobile platforms.
Leverage native APIs for deep integrations with both platforms.
Diagnose and fix bugs and performance bottlenecks for performance that feels native.
Reach out to the open-source community to encourage and help implement mission-critical software fixes - React Native moves fast and often breaks things.
Maintain code and write automated tests to ensure the product is of the highest quality.
Requirements
Firm grasp of the JavaScript language and its nuances.
Knowledge of functional programming.
Ability to write well-documented, clean Javascript code
Rock-solid at working with third-party dependencies and debugging dependency conflicts.
Familiarity with native build tools, like XCode, Gradle, Android Studio.
Understanding of REST APIs, the document request model, and offline storage
Knowledge of uploading applications on the respective stores
If you are comfortable, kindly share your updated resume.


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