AI-ML / Fulltime
AI-ML Engineer (Advanced Natural Language Processing)
Bengaluru
Overview:
At Eximietas we are pioneering the future of artificial intelligence and machine learning with cutting-edge initiatives in large language models and agentic frameworks. We seek a highly skilled and innovative AI/ML Engineer to join our dynamic team. This role is central to our mission, focusing on advanced programming, problem-solving, and the development of robust AI systems that can anticipate and respond to complex queries with high precision.
Responsibilities:
- Develop, fine-tune, and deploy large language models (LLMs) to meet specific operational needs.
- Implement classification, retrieval, and generation tasks using advanced AI/ML techniques.
- Utilize and innovate on top of foundation model APIs, retrieval-augmented generation (RAG), and prompt engineering strategies.
- Conduct efficient nearest-neighbor searches using Faiss in large-scale retrieval systems.
- Enhance and develop NLP functionalities, including but not limited to text-to-speech (TTS) and speech-to-text (STT) applications.
- Manage datasets using the Hugging Face Transformers and Datasets libraries, ensuring robust data handling for training and inference.
- Optimize configuration and experiment tracking with tools such as Hydra and Weights & Biases.
- Maintain and improve code quality, including version control using Git and GitHub.
- Work collaboratively in a team environment to design, develop, and review codebases for AI applications.
- Handle data manipulation tasks proficiently with a strong grasp of libraries such as Pandas and NumPy.
- Operate and manage remote servers for the continuous development and deployment of AI models.
Qualifications
- 5-8 years of professional experience in AI/ML with a proven record of deploying operational AI systems beyond the proof-of-concept stage.
- Demonstrable experience with Python programming and key libraries (Pandas, NumPy).
- Proven track record in deploying AI/ML models, particularly in NLP and LLMs.
- Expertise in Faiss, Hugging Face Transformers, and other AI-centric libraries.
- Experience with audio and voice manipulation tasks.
- Proficiency in configuration management and experiment tracking tools.
- Strong team collaboration skills, especially in remote and distributed team settings.
- Excellent problem-solving abilities and a knack for innovative solutions in AI.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.