Job Description
Join the Vanguard of Artificial Intelligence
OmniVerse Systems is pioneering the next generation of intelligent systems. We are seeking a highly skilled Senior AI & Machine Learning Engineer to architect scalable neural networks and drive innovation in our core product lines. If you are passionate about pushing the boundaries of what AI can achieve, we want to hear from you.
In this role, you will lead the development of Large Language Models (LLMs) and predictive algorithms that define the future of human-machine interaction. You will work in a dynamic, fast-paced environment with top-tier talent from around the globe.
Why Join Us?
- Competitive salary and equity package.
- Comprehensive health, dental, and vision coverage.
- Flexible remote-first policy with co-working stipends.
- Continuous learning and development budget.
Responsibilities
- Design, train, and deploy advanced machine learning models using Python, TensorFlow, and PyTorch.
- Optimize existing algorithms for high performance, low latency, and massive scalability.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Conduct rigorous data analysis and feature engineering to improve model accuracy.
- Mentor junior engineers and contribute to code reviews and architectural discussions.
- Stay abreast of the latest research in the AI field and implement cutting-edge methodologies.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Deep understanding of machine learning libraries (scikit-learn, Pandas, NumPy) and deep learning frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.