Job Description
Are you ready to architect the intelligent systems of tomorrow? NexaCore Systems is pioneering the future of artificial intelligence with our groundbreaking initiative, Project 2026. We are looking for a visionary Senior AI/ML Engineer to lead the development of next-generation neural architectures and large-scale model deployments.
In this pivotal role, you won't just be writing code; you will be defining the roadmap for AI adoption across enterprise sectors. You will work in a dynamic, high-performance environment with top-tier talent, pushing the boundaries of what is possible in machine learning and deep learning.
Why Join Project 2026?
- Impactful Work: Build AI solutions that will shape the industry standard for the next decade.
- Top-Tier Compensation: Competitive salary, equity, and comprehensive benefits package.
- Flexible Culture: Hybrid work model with a focus on results and innovation.
- Continuous Learning: Access to the latest GPUs, cloud infrastructure, and research resources.
Responsibilities
- Lead the end-to-end development lifecycle of advanced machine learning models, from research to production deployment.
- Architect scalable MLOps pipelines to ensure high availability and performance of AI services.
- Collaborate with product managers and data scientists to translate business requirements into technical AI solutions.
- Optimize model inference speed and reduce latency for real-time applications.
- Conduct rigorous code reviews and mentor junior engineers to foster a culture of technical excellence.
- Stay abreast of the latest advancements in AI research and integrate novel techniques into our core technology stack.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Minimum of 5+ years of professional experience in machine learning engineering or data science.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning (specific to Project 2026 goals).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.