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Machine Learning Research Engineer
2 months ago
Company Description
ZeroTrusted.ai is a pioneering company in the field of Generative AI security, starting with Zero Trust Architecture (ZTA) and dedicated to protecting corporate data in the LLM ecosystem. With a focus on innovation and compliance, ZeroTrusted.ai delivers unparalleled solutions for organizations navigating the complex world of AI and data privacy.
Role Description:
We are seeking a goal-oriented ML Research Engineer with a strong focus on evaluations and models. The ideal candidate is ready to push their creativity to great lengths, bringing innovative ML applications to life.
- We are looking for a Machine Learning Research Engineer to help deliver robust solutions that will ensure safe, secure, trustworthy AI.
- You will build and refine the training and evaluation pipelines to enhance security in AI models through anomaly detections, continuous monitoring, and safety evaluations.
- You will join an ambitious, organized, and collaborative team in a unique position to integrate the latest innovations from the ML community and work on features that reach everyday users, including your family and friends
Key Responsibility:
Engage in extensive independent research
Develop and optimize ML models using Python and libraries like PyTorch, TensorFlow, and similar tools.
Ensure ML applications are scalable and production-ready.
Collaborate with cross-functional teams to deliver impactful solutions.
Research and apply cutting-edge approaches to projects and applications
Preferred Experience:
Experience with frameworks such as LangChain, LlamaIndex,
Experience with RAG and Semantic Similarity
Experience deploying ML models and LLM inferencing engines like Llama.cpp, VLLM, and Ollama.
Experience working on research-driven solutions
Qualifications:
Master's or Ph.D. in Computer Science, Statistics, or related field
4+ years of Python development experience
2+ years in ML/AI.
Proficient with Python and ML libraries, frameworks, and deployment tools.
Strong background in Statistics
Experience in developing machine learning algorithms
Proficiency in Python, TensorFlow, or other ML frameworks
Excellent problem-solving and analytical skills
Ability to work independently and collaborate effectively
- If you’re ready to innovate and excel in a dynamic environment, we’d love to hear from you
