Job Description
We are Nexus Future Technologies, a pioneering force in the artificial intelligence landscape. We are defining the roadmap for intelligent systems leading up to 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to join our elite team and architect the next generation of neural network solutions.
Why You Should Join Us
At Nexus, we don't just build software; we engineer the future. You will have the autonomy to explore cutting-edge research, work with state-of-the-art hardware, and have a direct impact on the trajectory of AI for millions of users worldwide.
Key Responsibilities
- Design, develop, and deploy scalable machine learning models and deep learning architectures tailored for high-volume production environments.
- Lead the research and implementation of novel algorithms to improve model accuracy, efficiency, and latency for our core products.
- Collaborate closely with cross-functional teams of data scientists, software engineers, and product managers to translate complex business requirements into technical solutions.
- Optimize existing ML pipelines and infrastructure to ensure robust, low-latency performance in cloud environments (AWS/GCP).
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Stay abreast of the latest trends in AI research and contribute to internal technical blogs and presentations.
Qualifications
- Bachelor’s, Master’s, or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5 years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven experience with data manipulation libraries (Pandas, NumPy) and big data processing frameworks (Spark, Hadoop).
- Experience with MLOps practices, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
- Demonstrated ability to publish research in top-tier conferences or contribute to open-source projects.
Benefits
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Flexible remote work options and generous PTO.
- Annual learning and development budget.
Responsibilities
- Design, develop, and deploy scalable machine learning models and deep learning architectures tailored for high-volume production environments.
- Lead the research and implementation of novel algorithms to improve model accuracy, efficiency, and latency for our core products.
- Collaborate closely with cross-functional teams of data scientists, software engineers, and product managers to translate complex business requirements into technical solutions.
- Optimize existing ML pipelines and infrastructure to ensure robust, low-latency performance in cloud environments (AWS/GCP).
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Stay abreast of the latest trends in AI research and contribute to internal technical blogs and presentations.
Qualifications
- Bachelor’s, Master’s, or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5 years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven experience with data manipulation libraries (Pandas, NumPy) and big data processing frameworks (Spark, Hadoop).
- Experience with MLOps practices, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
- Demonstrated ability to publish research in top-tier conferences or contribute to open-source projects.