Job Description
Shape the Future of Artificial Intelligence
We are looking for a visionary Senior Machine Learning Engineer to join Nexus Data Systems. In this role, you will be at the forefront of developing scalable AI solutions that power our next-generation data platforms. If you are passionate about turning complex data into actionable insights and have a track record of deploying high-impact models, we want to hear from you.
Why Join Us?
- Work with state-of-the-art technologies in a fast-paced, innovative environment.
- Competitive compensation package and equity opportunities.
- Flexible remote work options and comprehensive benefits.
Key Responsibilities:
You will design, build, and maintain robust machine learning infrastructure, ensuring our models are accurate, scalable, and secure. Your work will directly influence our product roadmap and business strategy.
Responsibilities
- Model Development: Design, train, and deploy end-to-end machine learning models using Python and modern frameworks.
- Data Infrastructure: Build and optimize data pipelines to ensure high-quality training data and real-time inference.
- System Architecture: Architect scalable cloud solutions on AWS or GCP, utilizing containerization and microservices.
- Collaboration: Partner with data scientists and software engineers to integrate AI models into production applications.
- MLOps: Implement CI/CD pipelines for machine learning and monitor model performance in production.
- Research: Stay current with the latest advancements in Deep Learning and NLP to drive innovation.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience: 5+ years of professional experience in software engineering or machine learning engineering.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and SQL.
- Cloud Expertise: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven ability to troubleshoot complex system issues and optimize performance.