Job Description
Join the Vanguard of AI Innovation. Nexus Core Technologies is seeking a visionary Senior Machine Learning Engineer to drive the development of our next-generation predictive platforms. As we look toward the future landscape of 2026, we need a technical leader who can translate complex algorithms into scalable, real-world solutions that redefine industry standards.
In this role, you will architect the backbone of our AI infrastructure, collaborate with cross-functional teams to integrate machine learning models into production environments, and mentor a rising talent pool of data scientists. If you are passionate about the future of technology and possess a deep understanding of neural networks and large language models, we want to hear from you.
Why Join Us?
β’ Competitive compensation and equity package.
β’ Work on high-impact projects that shape the future of the industry.
β’ Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Design, train, and deploy robust machine learning models to solve complex business problems.
- Optimize existing ML pipelines for speed, scalability, and cost-efficiency.
- Collaborate with data scientists and engineers to implement end-to-end AI solutions.
- Conduct rigorous testing and validation to ensure model accuracy and reliability.
- Mentor junior engineers and contribute to code reviews and architectural discussions.
- Stay abreast of the latest advancements in AI/ML research to integrate cutting-edge techniques.
Qualifications
- Masterβs or PhD in Computer Science, Statistics, or a related field.
- 5+ years of professional experience in machine learning engineering or data science.
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, or JAX.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying models to production environments.
- Excellent problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders.