Machine Learning Engineer
2 semanas atrás
We're Defined.ai, a leading provider of high-quality training data for AI systems. Our platform leverages machine learning technology and human intelligence to deliver project-specific training data, enabling AI products to reach market quicker.
We're looking for a skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you'll be responsible for designing and implementing AI workloads for structured and unstructured datasets, collaborating with stakeholders to understand project needs, and translating them into effective AI solutions.
Key Responsibilities:
- Design and implement AI workloads for structured and unstructured datasets
- Collaborate with stakeholders to understand project needs and translate them into effective AI solutions
- Evaluate and productionize AI models by turning them into API and batch jobs
- Build solid relationships between your team, operations, and infrastructure teams to ensure smooth deployment and continuous improvement of models via robust and scalable ML pipelines
Requirements:
- BSc or MSc in Computer Science or similar
- Experience with voice and text analysis workloads such as text classification, Voice Activity Detection (VAD), Speaker Diarization, Speech-To-Text (ASR), Text Normalization and Inverse Text Normalization, PII redaction
- Experience in Generative models, Text-To-Speech (TTS), and Text-to-Text LLMs, and techniques such as few-shot learning, Retrieval-Augmented Generation (RAG), Chat/VoiceBots, and model hallucination handling
- Well-versed in using, integrating, and fine-tuning existing AI models from public repositories such as HuggingFace
- Advanced MLOps and CI/CD for data pipelines and deploying AI models
- Accustomed to Python-related Data Engineering libraries, packages, and frameworks, such as Fast-API, Pydantic, Presidio Analyser, PyTorch, and NumPy
- Familiarity with trading off running AI workloads in the cloud vs. private cloud environments for efficient consumption of GPUs
What We Offer:
- Flexible working schedule and hybrid model
- Excellent career development opportunities in a high growth company
- Culture of feedback and continuous improvement
- International and diverse team
- Continuous training opportunities
We're a dynamic and ambitious team, and we're looking for someone who shares our passion for innovation and excellence. If you're a skilled Machine Learning Engineer with a drive to work in an innovative and ambitious environment, we'd love to hear from you.
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