Job Description
We are looking for a visionary Senior AI/ML Engineer to join our elite engineering team at Nexus Innovations. In this pivotal role, you will be at the forefront of building the intelligent systems that will define the landscape of 2026 and beyond. We are focused on developing cutting-edge Generative AI, Large Language Models (LLMs), and scalable machine learning infrastructure.
If you are passionate about pushing the boundaries of artificial intelligence and want to solve complex problems that impact millions of users, we want to hear from you.
Responsibilities
- Architect and Deploy: Design, develop, and deploy scalable machine learning models and AI infrastructure using modern cloud technologies.
- Model Optimization: Fine-tune and optimize pre-trained models (e.g., GPT, BERT) for specific enterprise use cases to ensure high performance and low latency.
- Research & Development: Stay ahead of the curve by researching the latest advancements in NLP, Computer Vision, and Deep Learning.
- Collaboration: Work closely with cross-functional teams of data scientists, software engineers, and product managers to integrate AI capabilities into our products.
- MLOps: Implement robust MLOps pipelines for continuous training, evaluation, and deployment of models in production environments.
- Code Review: Mentor junior engineers, conduct code reviews, and contribute to the technical roadmap.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in software engineering or data science with a strong focus on AI/ML.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with Hugging Face Transformers and LangChain.
- Cloud Mastery: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Mathematical Aptitude: Deep understanding of statistical analysis, linear algebra, and probability.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.