Data Scientist

Company Description

VOSMOS is a part of Kestone Integrated Marketing Services and promoted by CL Educate, the parent company of Career Launcher. We aim to build virtual worlds that are simplified, connected, and immersive. These worlds will be self-sufficient, unified, and constantly evolving to suit the mindset of the occupants of the Virtual Cosmos. VOSMOS has 3 distinct products under the brand – Metaverse, Virtual Events, and Customized technology solutions. From education to business to art, VOSMOS is making it easy for everyone to remain connected in the virtual world.

Role Description

As a Senior Data Scientist – AI & Gen AI, you will be a hands-on builder responsible for designing, developing, and deploying intelligent solutions across the marketing and customer experience stack. From writing production-ready ML code and training models to prompt engineering and fine-tuning LLMs, this role is for someone who enjoys working end-to-end — not just leading, but doing. You’ll work closely with our product, marketing, and engineering teams to embed intelligence across everything we do — from personalization engines to Gen AI content workflows.

What You’ll Do

• Build, train, and deploy machine learning and deep learning models for use cases like personalization, recommendation, segmentation, and content generation
• Fine-tune pre-trained LLMs (e.g., GPT, LLaMA, Claude) and build RAG-based systems
• Design intelligent workflows using LangChain, vector databases, and prompt engineering
• Write clean, scalable code in Python using ML / AI libraries like PyTorch, scikit-learn, Hugging Face, etc.
• Work with APIs from OpenAI, Anthropic, Cohere, or open-source equivalents
• Build prototypes quickly and iterate based on results and feedback
• Work with structured and unstructured data (text, behavioral, campaign, content, customer data) - Clean, preprocess, and build data pipelines that are ML-ready
• Implement feedback loops and performance tracking mechanisms
• Translate marketing and business requirements into actionable ML use cases
• Work with product and design teams to bring AI-first features to life
• Stay updated with the latest advancements in Gen AI, LLMs, and model optimization

What We’re Looking For

Nice to Have

What You Get