Job Description
Join InnovateX Solutions at the forefront of technological innovation as we shape the future of AI-driven solutions. We're seeking visionary AI & Machine Learning Engineers to develop cutting-edge systems that will redefine industries by 2026. This role offers unparalleled opportunities to work with Fortune 500 clients, deploy scalable ML pipelines, and influence next-generation AI architectures.
Our dynamic team thrives on solving complex problems through collaborative research and agile development. You'll leverage state-of-the-art cloud infrastructure while contributing to patent-pending AI frameworks that will power tomorrow's intelligent systems.
Responsibilities
- Design and implement production-grade ML models using TensorFlow, PyTorch, and distributed computing frameworks
- Develop scalable data pipelines for real-time AI inference and training on AWS/GCP/Azure
- Lead cross-functional projects integrating computer vision, NLP, and predictive analytics solutions
- Conduct advanced research in federated learning and ethical AI deployment strategies
- Mentor junior engineers while establishing best practices for MLOps and model governance
- Collaborate with product teams to translate business requirements into technical roadmaps
Qualifications
- Master's degree in Computer Science, AI, or related field (PhD preferred)
- 5+ years of experience building end-to-end ML systems with proven scalability metrics
- Expertise in Python, Docker, Kubernetes, and cloud-native deployment architectures
- Strong background in deep learning frameworks and distributed training optimization
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR) or equivalent industry impact
- Proficiency in A/B testing frameworks and causal inference methodologies
- Experience with model monitoring, versioning (MLflow), and ethical AI frameworks