Leading Edge AI Technologist
4 days ago
AltrumAI is at the forefront of building cutting-edge Generative AI systems. As a skilled Machine Learning Engineer, you will be part of our product-focused team developing innovative solutions that empower our AltrumAI platform to understand and transform natural language in dynamic and novel ways.
We are seeking an experienced professional with a strong background in Generative AI and NLP to join our collaborative environment. You will work closely with software developers and product managers to design, develop, and deploy advanced generative models that power intelligent and adaptive user experiences.
The ideal candidate will have expertise in designing scalable machine learning pipelines for training and inference, using frameworks like Hugging Face Transformers, PyTorch, or TensorFlow. They should also have hands-on experience working with large datasets, training Large Language Models (LLMs), and fine-tuning them for specific tasks.
Key Responsibilities:
- Design, develop, and deploy advanced Generative AI models for NLP tasks such as language generation, text completion, summarization, machine translation, dialogue systems, and other generative text applications.
- Build, fine-tune, and optimize large-scale transformer-based models such as GPTs, BERT, T5, and other cutting-edge architectures to drive product features.
- Research and experiment with novel generative techniques, including LLMs, diffusion models, and multimodal learning, to enhance the capabilities of AltrumAI.
- Develop and implement API endpoints for serving generative models in production, ensuring real-time, high-performance deployment.
Required Skills & Qualifications:
To succeed in this role, you will need to possess:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
- 4+ years of experience working as a Machine Learning Engineer, with a proven track record in Generative AI and NLP.
- Strong programming skills in Python with experience in NLP libraries such as Hugging Face Transformers, SpaCy, and NLTK.
- Familiarity with version control systems (e.g., Git) and experience with CI/CD pipelines to automate model deployment.
Desirable Skills & Experience:
The following skills would be advantageous but not essential:
- Hands-on experience with Large Language Models (LLMs) for tasks such as conversational agents, code generation, creative writing, and other AI-driven content creation.
- Familiarity with multimodal models that combine NLP with other data modalities (e.g., text + image generation) using frameworks like CLIP or DALL-E.
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