Job Description
Join the Future of Intelligent Systems at Apex Innovations.
We are seeking a visionary Senior AI/ML Engineer to lead the development of next-generation artificial intelligence solutions. You will be at the forefront of innovation, working on cutting-edge Large Language Models (LLMs) and computer vision applications that power our global infrastructure. If you are passionate about pushing the boundaries of what is possible in machine learning and want to shape the technological landscape of 2024, we want to hear from you.
Why Join Us?
- Work with state-of-the-art technology stacks including PyTorch and TensorFlow.
- Competitive compensation package and equity options.
- Flexible remote-first culture with access to premium tech hubs.
- Continuous learning budget and professional development opportunities.
Key Responsibilities:
- Design, train, and deploy scalable machine learning models that drive core product features.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI strategies.
- Optimize existing models for latency, throughput, and accuracy to ensure real-time performance.
- Conduct experiments and research to explore new architectures and algorithms in the NLP and CV domains.
- Mentor junior engineers and foster a culture of technical excellence and innovation.
- Ensure code quality, documentation, and adherence to industry best practices.
Qualifications:
- Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Minimum of 5+ years of professional experience in machine learning engineering.
- Strong proficiency in Python, C++, and SQL.
- Deep understanding of deep learning frameworks (PyTorch, TensorFlow, JAX).
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, Azure).
- Proven track record of shipping production-grade AI models.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
Skills: Python, PyTorch, TensorFlow, MLOps, AWS, Machine Learning, Deep Learning, NLP, Computer Vision, Kubernetes, Docker, SQL
Responsibilities
- Design, train, and deploy scalable machine learning models that drive core product features.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI strategies.
- Optimize existing models for latency, throughput, and accuracy to ensure real-time performance.
- Conduct experiments and research to explore new architectures and algorithms in the NLP and CV domains.
- Mentor junior engineers and foster a culture of technical excellence and innovation.
- Ensure code quality, documentation, and adherence to industry best practices.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Minimum of 5+ years of professional experience in machine learning engineering.
- Strong proficiency in Python, C++, and SQL.
- Deep understanding of deep learning frameworks (PyTorch, TensorFlow, JAX).
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, Azure).
- Proven track record of shipping production-grade AI models.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.