Job Description
Are you ready to define the future of intelligent automation? Nexus Horizon Systems is seeking a visionary Senior AI/ML Engineer to join our elite research division. In this pivotal role, you will architect scalable machine learning solutions that drive our next generation of autonomous systems.
Join a team that pushes the boundaries of what is possible in artificial intelligence. We offer a competitive compensation package, equity packages, and the opportunity to work on projects that impact millions globally.
Why Join Us?
- Work with state-of-the-art frameworks and proprietary hardware.
- Competitive salary and comprehensive health benefits.
- Flexible remote-first culture with quarterly team retreats.
Core Responsibilities:
Design, implement, and deploy production-grade machine learning models using Python, TensorFlow, and PyTorch. Optimize algorithms for real-time inference on edge devices. Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex business requirements into technical solutions. Establish MLOps pipelines to ensure model scalability and reliability. Conduct cutting-edge research to stay ahead of industry trends in deep learning and generative AI.
Qualifications:
Master’s or PhD in Computer Science, Mathematics, or a related field. 5+ years of professional experience in machine learning engineering. Deep expertise in Python, SQL, and cloud platforms (AWS/GCP). Strong proficiency in deep learning frameworks (TensorFlow, PyTorch) and NLP. Experience with MLOps tools (Kubeflow, MLflow) and model deployment strategies.
Responsibilities
- Architect and maintain scalable machine learning infrastructure and pipelines.
- Develop and fine-tune state-of-the-art deep learning models for NLP and Computer Vision applications.
- Collaborate with product teams to integrate AI capabilities into user-facing products.
- Perform rigorous testing and validation of models to ensure accuracy and performance.
- Write clean, efficient, and well-documented code following industry best practices.
- Mentor junior engineers and conduct code reviews to foster a culture of excellence.
Qualifications
- Extensive experience with Python, C++, and SQL.
- Proven track record of deploying models in production environments.
- Strong understanding of distributed computing and cloud architecture.
- Excellent problem-solving skills and ability to work in a fast-paced agile environment.
- Experience with version control systems (Git) and CI/CD workflows.