Job Description
Join Nexus Future Labs, a pioneer in next-generation technology, as a Senior AI Engineer. We are looking for a visionary individual to architect the future of artificial intelligence and machine learning for our enterprise clients. This is a unique opportunity to shape the roadmap for 2026 and beyond.
We are committed to innovation, excellence, and pushing the boundaries of what is possible. If you are passionate about building scalable, robust AI systems and want to work in a high-performance environment, we want to hear from you.
Responsibilities
- Architect & Develop: Design and implement scalable machine learning models and deep learning architectures using Python, TensorFlow, and PyTorch.
- MLOps Pipeline: Build and maintain CI/CD pipelines for model training, validation, and deployment in cloud environments (AWS/GCP).
- Model Optimization: Optimize existing models for latency, throughput, and resource efficiency to meet production requirements.
- Research & Innovation: Stay at the forefront of AI research (LLMs, NLP, Computer Vision) and apply cutting-edge techniques to solve complex business problems.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical AI solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong focus on deep learning frameworks.
- Programming: Proficiency in Python and experience with SQL and NoSQL databases.
- Cloud Skills: Strong experience deploying models on cloud platforms (AWS, GCP, or Azure).
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Problem Solving: Proven track record of solving difficult engineering challenges and delivering high-quality code.