CloudSufi - Artificial Intelligence / Machine Learning Engineer - Python

We at CLOUDSUFI are seeking a skilled and motivated AI / ML Engineer with a background in Natural Language Processing (NLP), speech technologies, and generative AI.

The ideal candidate will have hands-on experience building AI projects from conception to deployment, including fine-tuning large language models (LLMs), developing conversational agents, and implementing machine learning pipelines.

You will play a key role in building and enhancing our AI-powered products and services.

Key Responsibilities :

• Design, develop, and deploy advanced conversational AI systems, including customer onboarding agents and support chatbots for platforms like WhatsApp.
• Process, transcribe, and diarize audio conversations to create high-quality datasets for fine-tuning large language models (LLMs).
• Develop and maintain robust, scalable infrastructure for AI model serving, utilizing technologies like FastAPI, Docker, and cloud platforms (e.g., Google Cloud Platform).
• Integrate and leverage knowledge graphs and contextual information systems to create more personalized, empathetic, and goal-oriented dialogues.
• Engineer and implement retrieval-augmented generation (RAG) systems to enable natural language querying of internal company documents, optimizing for efficiency and informativeness.
• Fine-tune and deploy generative models like Stable Diffusion for custom asset creation, with a focus on improving precision and reducing generative artifacts (FID score).
• Collaborate with cross-functional teams, including product managers and designers, to build user-friendly interfaces and tools that enhance productivity and user experience.
• Contribute to the research and publication of novel AI systems and models.

Qualifications And Skills :

Education : Bachelor of Engineering (B.E.) in Computer Science or a related field.

Experience : 3+ years of professional experience as a Machine Learning Engineer or in a similar role.

Programming Languages : Expertise in Python and a strong command of SQL, and JavaScript.

Machine Learning Libraries : Hands-on experience with PyTorch, Scikit-learn, Hugging Face Transformers, Diffusers, Librosa, LangGraph, and the OpenAI API.

Software and Tools : Proficiency with Docker and various databases including PostgreSQL, MongoDB, Redis, and Elasticsearch.

Core Competencies :

Skills : Generative AI, Machine Learning (ML), Natural Language Processing (NLP) and Large Language Models (LLM).

(ref : hirist.tech)