CLOUDSUFI
Website:
cloudsufi.com
Job details:
About Us
CLOUDSUFI is silicoy valley AI and data innovation company helping enterprises unlock value at scale. We power digital transformation through three core offerings: AI factories that accelerate innovation, digital twins that optimize supply chains and operations, and AI-first data platforms that drive smarter decisions. At the center is IMPACT, our human-first, AI-powered platform built from years of experience—focused on monetization, incubation, governance, and optimization of AI assets. CLOUDSUFI delivers measurable impact by combining cutting-edge AI with deep industry expertise, turning complex business challenges into sustainable growth opportunities.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.
Job Summary
We 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: 5+ years of relevant 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:
- Experience developing end-to-end AI pipelines, from data processing and model training to API deployment and integration.
- Familiarity with MLOps principles and tools for building and maintaining production-level machine learning systems.
- A portfolio of projects, publications, or open-source contributions in the fields of NLP, Computer Vision, or Speech Analysis is a plus.
- Excellent problem-solving skills and the ability to think strategically to deliver optimized and efficient solutions.
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