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Artificial Intelligence Engineering Lead
2 weeks ago
At Grizmo Labs, we are seeking a highly experienced software engineer to lead the development of our cutting-edge conversational intelligence products.
The ideal candidate will have a strong background in NLP, machine learning, and deep learning frameworks, as well as hands-on experience with VoIP communications and real-time AI-driven solutions.
Key Responsibilities:
- Develop and implement AI products such as IVA, chatbots, or conversational intelligence.
- Evaluate and implement algorithmic solutions tailored to business use cases.
- Ensure end-to-end AI product development and regulatory compliance.
Technical Requirements:
- Deep knowledge of NLP, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Experience deploying AI systems at scale using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
- Expertise in optimization techniques like vLLM, quantization, and LoRA for high-performance inferencing.
- Proficiency in programming languages such as Python and experience building production-grade pipelines.
Leadership Attributes:
- Strong people management and mentoring skills with a proven ability to build high-performing teams.
- Ability to measure team impact, set clear goals, and drive collaboration across functions.
- Exceptional problem-solving and decision-making skills in ambiguous, high-impact scenarios.
Preferred Skills:
- MLOps Expertise: Advanced knowledge of CI/CD pipelines, monitoring tools (MLflow, Airflow), and distributed training frameworks.
- Scalable Training Infrastructure: Hands-on experience with GPU/TPU workloads and frameworks like Horovod or DeepSpeed.
- Generative AI Expertise: Experience designing Retrieval-Augmented Generation (RAG) systems and fine-tuning large language models for domain-specific applications.
