Machine Learning Engineer
3 weeks ago
About Us:
Daxa AI is a rapidly growing startup revolutionizing Data Governance in the Gen AI landscape. Join our elite team of experts as we lead the charge in developing cutting-edge solutions that enable the safe and scalable deployment of Generative AI applications. We are a technology-driven company, setting new standards in AI governance. As a Staff Machine Learning Engineer, you will be at the forefront of innovation, driving the development of next-generation NLP and Generative AI models that shape the future of AI.
Job Description:
We are seeking an experienced Machine Learning Engineer specializing in Natural Language Processing (NLP). The successful candidate will help build state-of-the-art NLP and generative AI models, pushing the boundaries of what is possible in natural language understanding and intelligent data extraction. You will work closely with a multidisciplinary team to design, develop, and deploy cutting-edge solutions in the domain of language models and information retrieval.
Key Responsibilities:
· Design and implement AI models for text classification, NER, and other advanced use cases
· Develop and deploy systems to extract structured information from unstructured text across multiple domains.
· Build end-to-end NLP pipelines, including data ingestion, pre-processing, fine-tuning, and evaluation.
· Collaborate with cross-functional teams to incorporate AI solutions into existing workflows, ensuring they align with business goals.
· Optimize models for efficiency, scalability, and low-latency inference in production environments.
· Drive innovation by experimenting with LLMs and SLMs for different use cases.
Basic Qualifications:
● Bachelor’s degree in Computer Science, Engineering, or a related field from a reputed institution.
● 5+ years of experience in ML and NLP, with a deep understanding of Generative AI and NLP techniques
● Strong experience with transformer-based models such as GPT, BERT, T5, or other LLMs
● Proficiency in Python and experience with machine learning libraries like PyTorch, TensorFlow, and Transformers.
Preferred Qualifications:
· Experience with large-scale dataset handling and pre-processing, including techniques for managing unstructured data.
· Familiarity with cloud-based AI platforms (e.g., AWS, GCP, Azure) for deploying and managing AI models (SLMs and LLMs)
· Strong knowledge of embedding techniques, text classification, and information retrieval
· Experience working with multilingual NLP models and applications.
· Familiarity with MLOps for model monitoring, logging, and deployment.
· Understanding of ethics and bias mitigation in AI.
What We Offer:
● Competitive compensation and benefits package, including stock options.
● Opportunities to work on cutting-edge technologies.
● A collaborative and inclusive environment that values diverse perspectives.
● Flexible working hours and remote work options.
● Professional development and growth opportunities.
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