Job Description
Are you ready to shape the future of Artificial Intelligence? Nexus Systems Inc. is looking for a visionary Senior Machine Learning Engineer to lead our next-generation AI initiatives. In this pivotal role, you will architect scalable machine learning systems and drive innovation that impacts millions of users worldwide.
We are not just building software; we are defining the technological landscape for the next decade. If you are passionate about deep learning, natural language processing, and building robust production systems, we want to hear from you.
Why Join Us?
- Work with state-of-the-art AI frameworks.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work policies.
Responsibilities
- Model Development: Design, train, and deploy complex machine learning models, including Large Language Models (LLMs), ensuring high accuracy and low latency.
- System Architecture: Lead the architecture of scalable ML pipelines and data infrastructure using cloud-native technologies.
- Research & Innovation: Stay at the forefront of AI research, implementing cutting-edge algorithms and contributing to open-source projects.
- Code Review & Mentorship: Provide technical leadership, conduct rigorous code reviews, and mentor junior engineers and data scientists.
- Performance Optimization: Continuously monitor and optimize model performance, ensuring real-time inference capabilities.
- Collaboration: Partner with product managers and stakeholders to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning engineering or applied research.
- Programming: Strong proficiency in Python, with deep knowledge of PyTorch, TensorFlow, or JAX.
- Cloud: Extensive experience deploying models on AWS, GCP, or Azure using services like SageMaker or Vertex AI.
- Data Engineering: Experience with big data technologies (Spark, Kafka, Hadoop) and data warehousing (Snowflake, BigQuery).
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with data-driven approaches.