Company Description CloudMotiv designs and builds AI systems that integrate directly with real-world business operations, ensuring they are tested in production environments and maintained after go-live. The company partners with operations, finance, and technology teams at mid-size and enterprise organizations that are ready to move beyond exploring AI toward implementing practical solutions. CloudMotiv focuses on identifying where AI can genuinely save time and remove work that is better handled by machines, then delivering systems that teams actually use.

Applicants can expect to join a team that helps clients understand what to build first and why previous AI initiatives may have failed to gain adoption, reshaping how businesses think and work through intelligent workflows.

Role Description 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 Secure 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.

📌 Artificial Intelligence Engineer (Noida)
🏢 CloudMotiv
📍 Noida