About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

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

Location : Noida, Uttar Pradesh, India (Hybrid)

Position Type : Full-time

Job Summary

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.

Behavioural Competencies

- Must have worked with US/Europe based clients in onsite/offshore delivery model
- Should have very positive verbal and written communication, technical articulation, listening and presentation skills
- Should have proven analytical and problem-solving skills
- Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
- Should be a quick learner, self-starter, go-getter and team player
- Should have experience of working

📌 Sse -ai (Noida)
🏢 CLOUDSUFI
📍 Noida