Job Description
Are you ready to architect the future of intelligent automation? Nexus Horizon Inc. is seeking a visionary AI & Machine Learning Lead to spearhead our initiatives into the 2026 era of autonomous systems. You will be at the forefront of developing Agentic AI workflows and next-generation Large Language Model (LLM) applications that redefine industry standards.
In this high-impact role, you will lead a world-class engineering team, driving the strategy and execution of scalable AI solutions. We value technical excellence, creativity, and a forward-thinking mindset. Join us in building the infrastructure that powers the intelligent enterprises of tomorrow.
Responsibilities
- Architect AI Solutions: Design and implement robust, scalable Agentic AI systems and LLM pipelines optimized for high-performance inference.
- Technical Leadership: Mentor a team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Model Development: Lead the end-to-end lifecycle of machine learning models, from experimental research to production deployment and monitoring.
- Strategic Vision: Define the long-term AI roadmap, identifying emerging technologies (e.g., Generative AI, Reinforcement Learning) that drive competitive advantage.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex business requirements into technical AI architectures.
- Risk Management: Ensure AI systems are ethical, transparent, and compliant with evolving data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning engineering, with at least 2 years in a leadership or senior technical role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; deep experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
- AI Expertise: Strong understanding of NLP, Transformers, Vector Databases, and RAG (Retrieval-Augmented Generation) architectures.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with data-driven solutions.
- Communication: Exceptional verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.