Job Description
Are you ready to define the technological landscape of the future? Apex Future Systems is seeking a visionary Senior AI/ML Engineer to join our elite research division. We are building the foundational models that will power enterprise solutions well into the 2026 era and beyond.
In this role, you will lead the architecture and deployment of next-generation generative AI models, pushing the boundaries of what is possible in Natural Language Processing and Computer Vision. You will work in a high-performance environment, collaborating with top-tier data scientists and product engineers to deliver scalable, ethical, and groundbreaking solutions. If you are passionate about the intersection of code and creativity, this is your opportunity to make a lasting impact.
In this role, you will lead the architecture and deployment of next-generation generative AI models, pushing the boundaries of what is possible in Natural Language Processing and Computer Vision. You will work in a high-performance environment, collaborating with top-tier data scientists and product engineers to deliver scalable, ethical, and groundbreaking solutions. If you are passionate about the intersection of code and creativity, this is your opportunity to make a lasting impact.
Responsibilities
- Design, develop, and deploy scalable machine learning pipelines and large language models (LLMs).
- Optimize model inference for low-latency, high-throughput production environments.
- Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
- Implement robust MLOps strategies to ensure model monitoring, versioning, and retraining workflows.
- Conduct research on cutting-edge algorithms to improve model accuracy and efficiency.
- Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior role.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of deep learning architectures (Transformers, RNNs, CNNs) and MLOps practices.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong communication skills with the ability to present technical concepts to non-technical stakeholders.