Senior Machine Learning (AI) Developer
Description For Senior Machine Learning (AI) Developer
Qohash, a leader in Data Security Posture Management (DSPM), is seeking a Senior Machine Learning (AI) Developer to join their innovative team. As a cybersecurity provider, Qohash modernizes industry practices around the detection and protection of enterprise-sensitive information through their Qostodian platform.
The ideal candidate will possess strong knowledge of machine learning algorithms, data structures, statistical models, and Generative AI techniques. With 5+ years of experience in ML model techniques and Python programming, you'll be responsible for packaging LLM models, deploying to production environments, and integrating Generative AI features into existing systems.
Key responsibilities include:
- Experimenting with Generative AI techniques to optimize delivery and performance
- Managing ML infrastructure in the cloud
- Designing and developing machine learning algorithms for various environments
- Creating and maintaining scalable feature pipelines
- Collaborating with engineering teams to integrate algorithms into current systems
The role offers a competitive salary, up to six weeks of paid time off annually, and a comprehensive health benefits package. Qohash values innovation, integrity, and customer-centricity, making it an excellent opportunity for those passionate about advancing data security in a fast-paced startup environment.
Join Qohash and be part of a team that's revolutionizing data security for some of the world's largest and most sensitive enterprises!
Responsibilities For Senior Machine Learning (AI) Developer
- Package LLM models, incorporating Generative AI, deploy to production environments, and monitor usage and performance
- Collaborate with engineers and product managers to integrate Generative AI features into existing systems
- Experiment with different Generative AI techniques and architectures to optimize both delivery and performance
- Evaluate and validate the effectiveness of Generative AI models using appropriate metrics
- Manage ML infrastructure in the cloud
- Test models at scale and ensure CI/CD best practices are followed by the whole team
- Diagnose and resolve ML workflow and production issues quickly
- Design, develop, and maintain machine learning algorithms that work on machines with limited resources as well as in cloud environments
- Create and maintain scalable feature pipelines
- Integrate the algorithms in the current systems, in collaboration with the engineering teams
- Write production-level code to convert ML models into working pipelines
- Correct anomalies and problems as they arise
- Test the implemented features to make sure all acceptance criteria are met
- Participate in projects from the initial idea to launch
- Contribute to the continuous improvement of development activities
- Collaborate with the security team to integrate security best practices into software development processes
- Communicate risks associated with any activity, technology, or processes as you identify them
- Stay up to date with developments in the machine learning industry
Requirements For Senior Machine Learning (AI) Developer
- 5+ years of experience with ML model techniques: LLMs, Deep Learning, traditional ML and predictive modeling
- 5+ years of experience with Python programming
- 3+ years experience with building, validating, deploying and monitoring production models
- Strong skills in using generative AI to speed up features delivery
- Strong understanding of Generative AI techniques and models
- Experience with ML frameworks such as Tensorflow, PyTorch
- Experience with infrastructure and tooling for MLOps
- Excellent communication and collaboration skills
Benefits For Senior Machine Learning (AI) Developer
- Competitive salary range
- Up to six weeks of paid time off annually
- Comprehensive health benefits package
- Life insurance
- Short- and long-term disability insurance
- Paramedical and telemedicine services
- HSA account
