Job Description
We are seeking a visionary Senior AI & Machine Learning Engineer to lead our next-generation intelligence initiatives. At Nexus Core Systems, we are building the infrastructure for the future, leveraging cutting-edge algorithms to solve complex, real-world problems. If you are passionate about pushing the boundaries of what is possible with artificial intelligence and want to work in a high-impact, collaborative environment, we want to meet you.
Why Join Us?
- Work on projects that define the trajectory of AI technology.
- Competitive compensation and comprehensive benefits package.
- Flexible remote-first culture with a focus on work-life balance.
You will be responsible for designing, training, and deploying scalable machine learning models that power our core products. This is an opportunity to shape the future of our platform and leave a lasting impact on our users.
Responsibilities
- Design, develop, and deploy end-to-end machine learning pipelines and scalable AI models.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Optimize existing models for performance, accuracy, and latency in production environments.
- Conduct rigorous data analysis and feature engineering to improve model accuracy.
- Mentor junior engineers and contribute to the technical roadmap for AI initiatives.
- Stay abreast of the latest research in deep learning and implement state-of-the-art techniques.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5+ years of professional experience in machine learning and artificial intelligence.
- Strong proficiency in programming languages such as Python, TensorFlow, PyTorch, or JAX.
- Proven experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
- Deep understanding of statistical analysis and data mining techniques.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.