Job Description
Are you ready to architect the future of intelligent systems?
Nexus Innovations is seeking a visionary Senior AI/ML Engineer to join our elite research division. We are building the next generation of Large Language Models (LLMs) and generative AI solutions that will redefine human-computer interaction. If you are passionate about pushing the boundaries of machine learning and want to work in an environment that rewards technical excellence, we want to hear from you.
As a key member of our team, you will not just write code; you will define the technical roadmap for our AI infrastructure, ensuring scalability, robustness, and ethical AI deployment.
Why Join Us?
- Impactful Work: Directly contribute to products used by millions worldwide.
- Top-Tier Compensation: Competitive salary, equity package, and comprehensive benefits.
- Innovation-First Culture: Access to cutting-edge GPUs, cloud credits, and research grants.
Responsibilities
- Design, develop, and deploy scalable machine learning models and algorithms using Python, PyTorch, and TensorFlow.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Optimize existing models for latency, throughput, and resource efficiency in production environments.
- Conduct rigorous A/B testing and model evaluation to drive product improvements.
- Mentor junior engineers and foster a culture of continuous learning and technical rigor.
- Stay abreast of the latest research in Deep Learning and NLP to integrate state-of-the-art techniques.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
- 5+ years of professional experience in machine learning, deep learning, or a related field.
- Strong proficiency in Python, SQL, and experience with data manipulation libraries (Pandas, NumPy).
- Proven experience deploying models to cloud environments (AWS, GCP, or Azure).
- Deep understanding of neural network architectures, NLP, or Computer Vision.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.