Job Description
Join InnovateTech Solutions to pioneer the next wave of AI/ML advancements shaping 2026. We're seeking visionary engineers to build transformative solutions at the intersection of quantum computing, neural networks, and sustainable AI. Our dynamic team thrives on innovation, offering competitive equity, flexible work arrangements, and exposure to groundbreaking projects that redefine technological boundaries.
Responsibilities
- Design and implement scalable ML pipelines for predictive analytics and autonomous systems
- Lead research in quantum-ML hybrid architectures for 2026-era challenges
- Develop ethical AI frameworks ensuring bias mitigation and transparency
- Collaborate with cross-functional teams to deploy production-grade AI solutions
- Optimize models for edge computing and real-time processing
- Drive innovation in sustainable AI practices reducing carbon footprint
- Mentor junior engineers and contribute to technical documentation
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years experience
- Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
- Proven track record in deploying ML models at scale (AWS/GCP/Azure)
- Strong background in neural architecture search and meta-learning
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Experience with quantum computing APIs (Qiskit, Cirq) preferred
- Fluency in agile methodologies and CI/CD pipelines