Machine Learning
2 semanas atrás
What will you do? Work with Natural Language Processing (NLP)) and SpeechRecognition projects. Collaborate with stakeholders, understand project needs, and translate them into effective AI solutions by undertaking cost-benefit analysis ensuring these systems align with overall business goals. Evaluate and productionize AI models by turning them into API and batch jobs. Build solid relationships between your team, and operations and infrastructure teams, ensuring smooth deployment and continuous improvement of models via robust and scalable ML pipelines. Design and implement AI workloads for structured and unstructured datasets seamlessly. Effectively communicate architectures and status of projects to both technical and non-technical audiences.
Requirements
Who are we looking for?
Do you have the drive to work in an innovative and ambitious environment?
We're looking for someone with a determined and proactive mindset, inspired and passionate to help us achieve our goals. Our successful candidate is a strong critical thinker, reliable and transparent, with an ability to learn and communicate. We are looking for someone special to contribute to our unique culture.
Our Machine Learning / AI Engineer has/is:
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. The ideal candidate should have experience with , Whisper ASR, PyAnnote, LLMs, LangChain, Flyte, , and Azure. Storytelling abilities, and the ability to explain complex concepts in simple terms. Proficient in both written and spoken English. BenefitsYou spend a lot of your time at work, so it should be challenging, fun and interesting. At it will be all of those things and more. Here's what we offer: Flexible working schedule and hybrid model. We know comfort can boost creativity and performance, so you can manage your schedule and work both from one of our modern office spaces or home. Excellent career development opportunities in a high growth company. With us, you can accomplish your career goals and follow a well-described career path with the support of your supervisor. Culture of feedback and continuous improvement. AI is a fast-paced area, so we keep track of tech trends, and we always ask for feedback. An international and diverse team. We have more than 30 nationalities at our 3 locations, and we provide language classes. Continuous training opportunities. You can choose from many options: leveraging hand-on workshops, unlimited access to Udemy and formal development opportunities. We love to have fun together. We joke a lot, and we can't imagine work without fun activities – we already surfed, raced carts and played soccer together.
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