Job Description
Are you a visionary engineer ready to shape the future of artificial intelligence? Nexus Future Tech is seeking a Senior AI/ML Engineer to lead the development of the 2026 Initiative—our flagship platform designed to revolutionize predictive analytics in the enterprise sector.
In this role, you won't just write code; you will architect the brain of next-generation intelligent systems. We value innovation, autonomy, and the relentless pursuit of excellence. Join a world-class team where your contributions directly impact millions of users worldwide.
Why Join Us?
- Impactful Work: Drive core algorithms that power our flagship 2026 product suite.
- Top-Tier Compensation: Competitive salary plus equity package.
- Modern Stack: Work with the latest in PyTorch, TensorFlow, and Cloud Native technologies.
- Culture: A diverse, inclusive environment that encourages radical candor and continuous learning.
Responsibilities
- Design, train, and deploy state-of-the-art deep learning models for real-time inference.
- Lead the architecture of scalable ML pipelines, ensuring high availability and low latency.
- Collaborate closely with cross-functional teams (Data Science, Product, Engineering) to define product requirements and technical specifications.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Optimize existing models for production environments, focusing on performance and cost-efficiency.
- Stay abreast of the latest research in AI/ML and integrate cutting-edge techniques into our systems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
- Strong understanding of MLOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Kafka).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.