Applied Scientist - AI/ML

We are seeking a Data Scientist with hands-on experience in Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to help build next-generation multilingual AI solutions.Project OverviewJoin a fast-paced team developing AI-powered translation platforms that process text, images, and video content across 130+ languages. You'll work on fine-tuning LLMs, optimizing OCR and vision models, and building scalable AI solutions that automate translation workflows with minimal human intervention.Key ResponsibilitiesDesign, develop, and deploy Machine Learning and Generative AI solutions.Fine-tune and optimize LLMs, NLP, and Computer Vision models for production environments.Build solutions for OCR, text extraction, image understanding, and multilingual translation.Evaluate and select the most effective foundation models for specific business problems.Develop scalable AI pipelines supporting global translation services.Collaborate with software engineering, product, and MLOps teams to deploy and improve machine learning solutions.Automate model training, inferencing, and translation workflows.Analyze large datasets and model performance to drive improvements.Communicate technical findings and recommendations to stakeholders.Stay current with emerging advancements in LLMs, NLP, and Generative AI.Ideal BackgroundExperience building and deploying ML/AI solutions in production.Strong knowledge of Large Language Models (LLMs) and model fine-tuning.Background in NLP, Machine Learning, Deep Learning, or Generative AI.Proficiency in Python.Experience with OCR, Computer Vision, MLOps, or model hosting is a plus.Ability to evaluate, optimize, and scale AI models for real-world applications.Note: This role requires hands-on model development and fine-tuning experience. Candidates with only prompt engineering experience are unlikely to be a fit.