Job Description
Join Nexus Innovations at the forefront of technological evolution as we build the intelligent infrastructure for 2026. We're seeking an AI & Machine Learning Engineer to architect next-generation systems that will redefine industries. In this role, you'll collaborate with world-class researchers to deploy scalable ML solutions, pioneer ethical AI frameworks, and translate complex data into transformative business insights. Our culture values bold innovation, continuous learning, and impact-driven work.
What You'll Achieve:
- Design and implement cutting-edge ML models for autonomous systems and predictive analytics
- Lead end-to-end AI project lifecycles from prototype to production deployment
- Drive innovation in quantum machine learning and edge computing applications
- Mentor junior engineers and contribute to our open-source AI initiatives
Responsibilities
- Architect scalable ML pipelines for real-time data processing at petabyte scale
- Develop and optimize neural networks for computer vision and NLP applications
- Collaborate with cross-functional teams to integrate AI solutions into core products
- Research and implement state-of-the-art techniques in federated learning
- Establish robust MLOps practices for model monitoring and versioning
- Lead ethical AI audits and bias mitigation initiatives
- Present findings to C-suite executives and industry conferences
Qualifications
- Master's degree in Computer Science, AI, or related field (PhD preferred)
- 5+ years of experience deploying production-grade ML systems
- Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
- Strong foundation in distributed computing and high-performance optimization
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Experience with quantum computing frameworks (Qiskit, Cirq)
- Demonstrated leadership in open-source AI projects with 1k+ GitHub stars