Job Description
Are you ready to architect the future of intelligent systems? Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to lead our revolutionary Generative AI initiatives. As we push the boundaries of what is possible in the next generation of technology, we need a technical expert who can translate complex algorithms into scalable, production-ready solutions.
In this pivotal role, you will spearhead the development of Large Language Models (LLMs), fine-tune proprietary models, and deploy robust AI architectures that drive user engagement and innovation.
Why Join Us?
- Work with state-of-the-art infrastructure and the latest AI frameworks.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Architect and deploy scalable machine learning pipelines and models using Python and modern frameworks.
- Conduct research and implement cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision.
- Optimize model inference latency, memory usage, and accuracy for high-traffic production environments.
- Collaborate with product managers and engineering teams to integrate AI features seamlessly into user experiences.
- Mentor junior engineers and conduct code reviews to ensure best practices in AI engineering.
- Stay abreast of the rapidly evolving AI landscape to recommend and implement new methodologies.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning Engineering or Data Science.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
- Deep understanding of Generative AI architectures, Transformer models, and LLM fine-tuning (LoRA, PEFT).
- Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) pipelines.