Job Description
We are at the forefront of the Artificial Intelligence revolution. At Apex Future Systems, we are building the neural architectures of tomorrow to solve humanity's most complex challenges. We are seeking a visionary Senior AI Engineer to lead our next generation of machine learning models.
If you are passionate about pushing the boundaries of what is possible in Deep Learning and Large Language Models, and you thrive in a fast-paced, innovative environment, we want to meet you.
Responsibilities
- Architect & Deploy: Design, develop, and deploy scalable AI/ML models and infrastructure using modern frameworks like PyTorch and TensorFlow.
- Optimization: Lead efforts in model optimization, quantization, and inference acceleration to ensure high-performance, low-latency solutions.
- Innovation: Research and implement cutting-edge techniques in NLP, Computer Vision, or Generative AI to drive product differentiation.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Collaboration: Partner with product managers and engineering teams to translate business requirements into technical AI solutions.
- Evaluation: Establish rigorous testing and evaluation frameworks to ensure model accuracy, fairness, and robustness.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent professional experience).
- Experience: 5+ years of professional experience in machine learning engineering, preferably in a high-scale production environment.
- Technical Skills: Deep proficiency in Python, with strong experience in PyTorch, TensorFlow, or JAX.
- Modeling: Extensive experience with deep learning architectures, transformer models (GPT, BERT), and fine-tuning strategies.
- Tools: Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow) and cloud platforms (AWS, GCP, or Azure).
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.