Description

Develop and maintain machine learning models in production, focusing on NLP and Large Language Models.

This role is on-site.

Responsibilities

• Develop, deploy, and maintain ML models for text classification, sentiment analysis, and conversational AI.
• Design and implement LLM solutions using fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Perform data preprocessing, feature engineering, and model evaluation on large-scale structured and unstructured datasets.
• Collaborate with cross-functional teams to translate business problems into ML solutions and present insights to stakeholders.
• Continuously improve model performance, scalability, and efficiency.

Required Skills

• 5+ years of experience in Data Science, Machine Learning, or AI-focused roles.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Strong proficiency in Python, including Pandas, NumPy, and Scikit-learn.
• Hands-on experience with TensorFlow or PyTorch.
• Proven experience with NLP and ML model development, including a strong understanding of AI/ML principles.
• Experience working with LLMs (BERT, GPT, RoBERTa), fine-tuning, prompt engineering, and RAG.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Strong SQL skills and experience handling large datasets.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience with MLOps (deployment, monitoring, lifecycle management) and familiarity with CI/CD, Docker, and Kubernetes.
• Experience with model explainability (XAI), data governance, privacy, and compliance.

Key Skills

Education

Bachelor's or Master's degrees