Job Description
Are you ready to shape the future of technology?
Apex Innovations is on the lookout for a visionary Senior Generative AI Engineer to join our elite R&D team. As we move into the next generation of AI capabilities, we need a technical expert who can bridge the gap between theoretical models and scalable production environments. If you are passionate about Large Language Models (LLMs), Computer Vision, and autonomous agents, this is your chance to lead the charge.
Why Join Us?
- Work on cutting-edge projects that redefine industry standards.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art office amenities.
- Access to top-tier computing resources and research grants.
Responsibilities
- Design, train, and fine-tune large-scale generative models (LLMs and Diffusion models) for specific enterprise applications.
- Optimize model inference latency and reduce token generation costs through advanced quantization and pruning techniques.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Collaborate with product managers and data scientists to define AI roadmap and feature requirements.
- Mentor junior engineers and establish best practices for MLOps and model governance.
- Conduct rigorous A/B testing and performance benchmarking to ensure model robustness.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering, with at least 2 years specifically focused on Generative AI.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of transformer architectures, attention mechanisms, and neural network optimization.
- Experience deploying models on cloud infrastructure (AWS, GCP, or Azure) using Docker and Kubernetes.
- Strong grasp of data privacy, security, and ethical AI guidelines.