Job Description
Are you ready to shape the future of Artificial Intelligence?
Nexus Horizon Solutions is seeking a visionary Senior Machine Learning Engineer to join our elite engineering team. We are building the next generation of generative AI tools that redefine enterprise efficiency. If you are passionate about deep learning, NLP, and scalable architecture, this is your chance to lead high-impact projects in one of the most dynamic tech hubs in the world.
Why Join Us?
- Competitive Compensation: $180k - $250k base + equity package.
- Flexible Work Environment: Choose between remote flexibility or our modern SF office.
- Cutting-Edge Tech Stack: Work with PyTorch, TensorFlow, AWS, and Kubernetes.
We are looking for a self-starter who thrives in a fast-paced, collaborative environment. You will be responsible for the full lifecycle of machine learning models, from data ingestion to production deployment.
Responsibilities
- Design, train, and deploy scalable machine learning models and neural networks.
- Collaborate closely with data scientists and software engineers to integrate AI models into production environments.
- Optimize existing algorithms and pipelines to improve latency, accuracy, and cost-efficiency.
- Conduct end-to-end data analysis, including feature engineering, model training, and validation.
- Mentor junior engineers and actively contribute to code reviews and architectural discussions.
- Stay abreast of the latest research in Deep Learning and AI to drive continuous innovation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in Machine Learning, AI Engineering, or Data Science.
- Proficiency in Python, PyTorch, and TensorFlow.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with MLOps tools (MLflow, Airflow) and version control systems.