Convegenius
http://www.convegeniusglobal.comAbout
Company social profiles
Jobs at Convegenius
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)About the Company:
ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.
About the role:
At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.
Responsibilities:
- Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
- Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
- Mentor and lead the experiments with other team members.
- Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.
Qualifications:
- Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
- 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
- Hands-on experience of ML model development and deploying.
- Experience working with training and fine-tuning LLM is a plus.
- Experience in audio/speech technologies is a plus.
- Strong programming skills in Python, node.js or other relevant programming languages.
- Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
- Strong analytical and problem-solving skills, with the ability to think out of the box.
- Self-starter with the ability to work independently and in a team environment.
Similar companies
About the company
CoffeeBeans Consulting is a technology partner dedicated to driving business transformation. With deep expertise in Cloud, Data, MLOPs, AI, Infrastructure services, Application modernization services, Blockchain, and Big Data, we help organizations tackle complex challenges and seize growth opportunities in today’s fast-paced digital landscape. We’re more than just a tech service provider; we're a catalyst for meaningful change
Jobs
5
About the company
Jobs
1
About the company
Jobs
13
About the company
Jobs
4
About the company
Jobs
3
About the company
Jobs
5
About the company
Jobs
1
About the company
Jobs
6
About the company
Jobs
1
About the company
Joining the team behind the world’s most trusted artifact firewall isn’t just a job - it’s a mission.
🧩 What the Company Does
This company provides software tools to help development teams manage open-source code securely and efficiently. Its platform covers artifact management, automated policy enforcement, vulnerability detection, software bill of materials (SBOM) management, and AI-powered risk analysis. It's used globally by thousands of enterprises and millions of developers to secure their software supply chains.
👥 Founding Team
The company was founded in the late 2000s by a group of open-source contributors, including one who was heavily involved in building a popular Java-based build automation tool. The company was started by veteran engineers with deep roots in the open-source community—one of whom helped create a widely adopted build automation tool used by millions today.
💰 Funding & Financials
Over the years, the company has raised nearly $150 million across several funding rounds, including a large growth round led by a top-tier private equity firm. It crossed $100 million in annual recurring revenue around 2021 and has remained profitable since. Backers include well-known names in venture capital and private equity.
🏆 Key Milestones & Achievements
- Early on, the company took over stewardship of a widely used public code repository.
- It launched tools for artifact repository management and later expanded into automated security and compliance.
- Has blocked hundreds of thousands of malicious open-source packages and helped companies catch risky components before deployment.
- Released AI-powered tools that go beyond CVE databases to detect deeper threats.
- Recognized as a market leader in software composition analysis by major industry analysts.
- Today, it’s used by many Fortune 100 companies across industries like finance, government, and healthcare.
Jobs
9