Job Description
We are looking for a visionary Senior AI Engineer to drive our cutting-edge initiatives for the 2026 roadmap. If you are passionate about the future of Generative AI, Large Language Models, and autonomous systems, this is your chance to shape the technology that will define the next decade.
In this role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our solutions are scalable, secure, and ready for the future. Join a team that values innovation, technical excellence, and forward-thinking architecture.
Responsibilities
- Architect & Deploy: Design and implement scalable AI models and infrastructure pipelines optimized for high-volume production environments.
- Roadmap Leadership: Define technical strategies for the 2026 technology stack, including LLM integration and edge computing solutions.
- Optimization: Continuously improve model inference speed and accuracy using advanced optimization techniques and hardware acceleration.
- Collaboration: Partner with cross-functional teams (Product, Engineering, Design) to translate business requirements into robust technical solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical rigor.
- Ethics & Safety: Ensure AI systems adhere to ethical guidelines and safety protocols to prevent bias and ensure fairness.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
- Modeling: Strong understanding of NLP, Computer Vision, or Reinforcement Learning algorithms.
- Deployment: Experience with MLOps tools (Docker, Kubernetes, MLflow) and model serving frameworks.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.