LLM Trainer

Role: LLM Trainer Experience required: 3-4 years Location: Remote Job Description We are seeking a passionate and innovative professional with hands-on experience in Machine Learning, Deep Learning, and AI to join our team. The ideal candidate will have strong problem-solving skills, experience deploying AI solutions in real-world environments. Key Responsibilities Design, develop, and optimize machine learning and deep learning models for real-world applications. Work with large-scale datasets to perform data preprocessing, feature engineering, and model training. Conduct experiments, evaluate model performance, and fine-tune algorithms. Collaborate with product, engineering, and research teams to integrate AI models into production systems. Stay updated with the latest advancements in AI/ML research and apply relevant techniques to projects. Required Skills & Qualifications 3–4 years of experience in Machine Learning, Deep Learning, or Applied AI. Strong proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn. Experience with data handling tools (Pandas, NumPy) and cloud platforms (AWS, Azure, or GCP). Solid understanding of ML concepts such as supervised/unsupervised learning, neural networks, NLP, or computer vision. Experience with model deployment, MLOps practices, or production-level AI solutions is a plus. Excellent problem-solving and analytical skills. Good to Have Knowledge of reinforcement learning, generative AI, or large language models. Research experience (papers, conferences, or patents). Familiarity with distributed computing frameworks (Spark, Ray, or Databricks).