Job Description
Are you ready to define the technological landscape of the future? TechNova Systems is seeking a visionary AI & Machine Learning Engineer to join our elite research division. We are building the infrastructure for the year 2026 and beyond, focusing on next-gen predictive modeling, autonomous agents, and ethical AI integration.
In this role, you won't just maintain legacy systems; you will architect the foundation for the next generation of intelligent applications. You will work in a high-performance environment where your code directly impacts millions of users globally.
Why Join Us?
- Future-Ready Tech Stack: Work with the latest in PyTorch, TensorFlow, and Quantum-ready algorithms.
- Competitive Compensation: We offer a top-tier salary package plus performance bonuses.
- Remote-First Culture: Flexible work arrangements with a focus on results.
If you are passionate about pushing the boundaries of what's possible in Artificial Intelligence, we want to hear from you.
Responsibilities
- Design, train, and deploy scalable machine learning models capable of handling real-time big data streams.
- Conduct research to identify new AI methodologies and integrate them into our production pipeline.
- Optimize neural networks for low-latency inference on edge devices.
- Collaborate with data scientists and software engineers to ensure seamless integration of AI features.
- Implement rigorous testing and validation frameworks to ensure model accuracy and robustness.
- Mentor junior engineers and contribute to the technical documentation of our AI architecture.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Proven experience with Python, PyTorch, TensorFlow, and Scikit-learn.
- Strong understanding of Deep Learning architectures (CNNs, RNNs, Transformers).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Experience with MLOps tools and data pipeline orchestration.
- Excellent problem-solving skills and a passion for ethical AI development.