Job Description
At Nexus Future Systems, we don't just adapt to the future; we engineer it. We are seeking a visionary Senior AI/ML Engineer to lead our strategic roadmap for 2026. You will be at the forefront of defining how artificial intelligence integrates into our core infrastructure, ensuring scalability, ethical compliance, and breakthrough performance.
In this pivotal role, you will bridge the gap between theoretical research and production-ready systems, guiding our engineering teams through the technological shifts expected by 2026.
Responsibilities
- Architect the 2026 Vision: Design and implement scalable AI infrastructure capable of supporting next-generation data processing and predictive modeling.
- Lead Strategic R&D: Spearhead research initiatives focused on Generative AI, Large Language Models (LLMs), and autonomous agents.
- Optimize Production Pipelines: Enhance model latency and accuracy while reducing computational costs for high-volume data streams.
- Ethical AI Governance: Establish frameworks for bias detection, fairness, and transparency in all AI deployments.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and security teams to align technical roadmaps with business goals.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a leadership or senior architectural role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Strategic Mindset: Proven ability to anticipate industry trends and translate them into technical roadmaps (specifically regarding 2026+ technologies).
- Problem Solving: Deep understanding of distributed systems, MLOps, and data engineering principles.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.