Description
SSE -AI
Location: Gautam Buddha Nagar, India
Experience: 5-7 Years
Skills: AI Engineering, Data Science
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
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, colour, 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/
Location: Noida, Uttar Pradesh, India (Hybrid)
Position Type: Full-time
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.
Behavioural Competencies
- Must have worked with US/Europe based clients in onsite/offshore delivery model
- Should have very good 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
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