Job Description
We are on a mission to redefine human-computer interaction through advanced Artificial Intelligence. OmniLogic AI is seeking a visionary Senior Machine Learning Engineer to lead the development of state-of-the-art Large Language Models (LLMs) and neural architectures. If you thrive in a fast-paced, innovative environment and want to shape the future of AI, we want to hear from you.
Why Join Us?
- Work with the world’s best data scientists and engineers.
- Competitive salary and equity package.
- Flexible remote and hybrid work options.
Responsibilities
- Design, train, and deploy scalable machine learning models, with a focus on Generative AI and Natural Language Processing (NLP).
- Research and implement novel algorithms to improve model accuracy and efficiency.
- Collaborate with cross-functional teams (Data Science, Product, Engineering) to translate research into production-ready features.
- Optimize model inference latency and cost in cloud environments (AWS/GCP).
- Conduct rigorous code reviews and mentor junior engineers to foster a culture of technical excellence.
- Stay abreast of the latest research in the AI community and integrate cutting-edge techniques.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in Machine Learning or AI research.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Deep Learning architectures (Transformers, RNNs, CNNs).
- Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
- Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.