Job Description
Are you ready to define the trajectory of 2026 and beyond? OmniStream Technologies is seeking a visionary Lead AI Engineer to architect the next generation of intelligent systems. In this role, you won't just be maintaining current tech stacks; you will be building the foundational models and ethical frameworks that will power the enterprise of tomorrow.
We are looking for a thought leader who is passionate about the Future of AI, Large Language Models (LLMs), and autonomous agents. If you thrive in a fast-paced, high-impact environment and want to leave a legacy in the tech landscape of 2026, we want to hear from you.
Responsibilities
- Architect the Future: Design and deploy scalable, state-of-the-art machine learning infrastructure specifically tailored for 2026 enterprise demands.
- Model Development: Lead the research and implementation of cutting-edge generative AI models, optimizing for performance and accuracy.
- Strategic Roadmap: Define the technical vision for AI integration, ensuring alignment with long-term business goals and 2026 strategic milestones.
- Team Leadership: Mentor a team of high-performing data scientists and engineers, fostering a culture of innovation and continuous learning.
- Ethical AI: Implement robust governance and bias-reduction protocols to ensure responsible AI deployment.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in software engineering with a strong focus on AI/ML.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Specialization: Proven track record of working with LLMs, NLP, or Computer Vision technologies.
- Leadership: Demonstrated experience managing technical teams and leading cross-functional projects.
- Problem Solving: Ability to solve complex, ambiguous problems with creative, data-driven solutions.