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theoceann.ai - AI/ML Engineer

theoceann.ai
3 - 6 Years
Multiple Locations

Posted on: 02/04/2026

Job Description

Job Title : AI/ML Engineer



Location : Noida (On-site)



Experience : 3 to 6 Years



Company : TheOceann.ai



About the Role :



We are looking for a highly skilled AI/ML Engineer to design, develop, and deploy intelligent systems powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience in building RAG (Retrieval-Augmented Generation) pipelines, chatbots, and scalable AI solutions that deliver real business value.



Key Responsibilities :



- Design and implement RAG-based architectures integrating LLMs with structured and unstructured data sources



- Build and optimize AI-powered chatbots and conversational agents



- Work with LLMs (OpenAI, open-source models like LLaMA, Mistral, etc.) for real-world applications



- Develop and maintain vector databases (e.g., Pinecone, FAISS, Weaviate) for efficient retrieval



- Create robust prompt engineering strategies and evaluation frameworks



- Deploy AI solutions using scalable infrastructure (Azure/AWS/GCP)



- Collaborate with product, engineering, and business teams to translate requirements into AI solutions



- Fine-tune and optimize models for performance, cost, and accuracy



- Ensure data quality, pipeline efficiency, and model reliability



Required Skills & Qualifications :



- 3 to 6 years of experience in Machine Learning / AI development



- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)



- Hands-on experience with RAG pipelines and LLM-based applications



- Experience in building chatbots / conversational AI systems



- Familiarity with LangChain, LlamaIndex, or similar frameworks



- Understanding of embeddings, semantic search, and vector databases



- Experience with API integration and microservices architecture



- Knowledge of cloud platforms (Azure preferred)



- Strong problem-solving and analytical skills



Good to Have :



- Experience in fine-tuning LLMs or working with open-source models



- Knowledge of MLOps tools and model deployment pipelines



- Exposure to NLP techniques and transformer architectures



- Experience with real-time AI systems and streaming data



- Understanding of cost optimization in LLM deployments



Why Join Us?



- Work on cutting-edge AI products transforming the maritime industry



- Opportunity to build scalable, real-world AI applications from scratch



- Fast-growing, innovation-driven environment



- High ownership and impact-driven role


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