Job Description
We are at the forefront of the next technological revolution, building the AI infrastructure that will define the year 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI & Machine Learning Engineer to lead the development of scalable, generative, and ethical AI solutions. If you are passionate about pushing the boundaries of what is possible and want to shape the future of intelligent systems, we want to hear from you.
As a key player in our R&D division, you will architect models that power autonomous systems, natural language processing, and predictive analytics. You will work in a fast-paced, collaborative environment where innovation is not just encouraged but required.
Responsibilities
- Design, train, and deploy cutting-edge Machine Learning models and deep learning architectures.
- Lead the full lifecycle of AI development, from data preprocessing and feature engineering to model evaluation and productionization.
- Collaborate with cross-functional teams of data scientists, software engineers, and product managers to integrate AI capabilities into scalable software products.
- Optimize model performance for low-latency, high-volume inference environments.
- Establish best practices for MLOps, ensuring reproducibility, monitoring, and governance of deployed models.
- Stay abreast of the latest advancements in the AI landscape to drive internal innovation.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a proven track record of shipping production-grade models.
- Strong proficiency in Python, including frameworks such as PyTorch, TensorFlow, or JAX.
- Deep understanding of Deep Learning principles, specifically in NLP (Transformers, BERT) or Computer Vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Familiarity with MLOps tools (MLflow, Kubeflow) and data versioning systems.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.