Machine Learning Expert
5 days ago
About Qohash
Qohash is a pioneering cybersecurity provider that modernizes industry practices around detection and protection of enterprise-sensitive information. Our Qostodian platform introduces a groundbreaking approach to data security.
We specialize in tracking specific data elements at scale, feeding real insights into our customers' risk strategy, and providing compliance, vulnerability reduction, and breach protection across the world's largest and most sensitive enterprises.
About the Role
This Senior Machine Learning position involves leveraging good knowledge of machine learning algorithms, data structures, statistical models, and Generative AI techniques and models. A strong background in computer science or a related field is essential, with hands-on experience in developing and implementing machine learning (AI) solutions.
The ideal candidate will have excellent collaboration and communication skills, be able to work well in a fast-paced environment, and prioritize tasks effectively to meet deadlines.
Key Responsibilities
- Packaging LLM models incorporating Generative AI, deploying them to production environments, and monitoring usage and performance.
- Collaborating with engineers and product managers to integrate Generative AI features into existing systems.
- Experimenting with different Generative AI techniques and architectures to optimize delivery and performance.
- Evaluating and validating the effectiveness of Generative AI models using appropriate metrics.
- Managing ML infrastructure in the cloud.
- Testing models at scale and ensuring CI/CD best practices are followed by the team.
- Diagnosing and resolving ML workflow and production issues quickly.
- Designing, developing, and maintaining machine learning algorithms for machines with limited resources and cloud environments.
- Creating and maintaining scalable feature pipelines.
- Integrating algorithms into current systems in collaboration with engineering teams.
- Writing production-level code to convert ML models into working pipelines.
- Correcting anomalies and problems as they arise.
- Testing implemented features to ensure all acceptance criteria are met.
- Participating in projects from initial idea to launch.
- Contributing to the continuous improvement of development activities (agility, automated tests, deployment, etc.).
- Collaborating with the security team to integrate security best practices into software development processes.
- Communicating risks associated with any activity, technology, or process identified.
- Staying up-to-date with developments in the machine learning industry.
Requirements
To succeed in this role, you must possess:
- 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 of experience building, validating, deploying, and monitoring production models.
- Strong skills in using generative AI to speed up feature 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 and Perks
At Qohash, we offer:
- A competitive salary range ($120,000-$160,000 per year)
- Up to six weeks of paid time off annually
- A comprehensive health benefits package, including life insurance, short- and long-term disability insurance, paramedical services, and an HSA account
Our company values innovation, integrity, and customer-centricity. We are committed to fostering a culture that encourages growth and collaboration. If you're passionate about machine learning and want to join a dynamic team, please apply.
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