Software Engineer - AI/ML
at Egnyte
Mountain View, CA 94043, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Apr, 2025 | Not Specified | 30 Jan, 2025 | N/A | Learning Techniques,Fine Tuning,Java,Model Development,Data Structures,Keras,Data Processing,Aws,Docker,Programming Languages,Communication Skills,Algorithms,Computer Vision,Scala,Computer Science,Kubernetes | No | No |
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Description:
ABOUT EGNYTE
Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.
Egnyte is seeking a Software Engineer to work on cutting-edge AI/ML projects, contributing to the development and integration of Generative AI and machine learning solutions at scale. As a Software Engineer, you will focus on designing, implementing, and deploying AI systems to enhance Egnyte’s platform capabilities. This is a hands-on role where you’ll work closely with cross-functional teams to solve complex technical challenges, optimize AI workflows, and ensure seamless delivery of solutions.
YOUR QUALIFICATIONS:
- Strong foundation in computer science, algorithms, and data structures.
- Hands-on experience with machine learning techniques, including Generative AI (LLMs, fine-tuning, and prompt engineering).
- Proficient in AI/ML frameworks such as PyTorch, TensorFlow/Keras, and Hugging Face Transformers.
- Experience working with Python and related tools for data processing and model development.
- Familiarity with cloud platforms, such as GCP or AWS, and distributed computing environments.
- Knowledge of containerization tools like Docker and orchestration frameworks like Kubernetes.
- Solid communication skills, with a collaborative mindset and the ability to work effectively in cross-functional teams.
- Willingness to be in office 3 days per week.
BONUS SKILLS:
- Familiarity with LangChain, OpenAI APIs, or other Generative AI platforms.
- Experience with additional programming languages such as Java or Scala.
- Exposure to ML pipelines and frameworks like Kubeflow.
- Knowledge of computer vision or multimodal machine learning techniques.
- Demonstrated ability to present technical concepts to both technical and non-technical audiences.
Responsibilities:
- Contribute to the design, development, and deployment of AI/ML features for Egnyte’s platform.
- Build and optimize Generative AI solutions, such as NLP-based models, to enhance user experiences and platform functionalities.
- Collaborate with cross-functional teams, including Product and Data Science, to translate business requirements into AI-driven solutions.
- Develop, test, and deploy machine learning models, ensuring scalability, performance, and maintainability.
- Write clean, efficient, and production-ready code, following best practices in software engineering.
- Stay up to date with the latest advancements in AI/ML technologies and apply them to relevant projects.
- Participate in code reviews and contribute to improving engineering practices across the team.
- Monitor and maintain deployed models, ensuring continuous improvement and reliability.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Proficient
1
Mountain View, CA 94043, USA