AI/ML/GEN AI Engineer

Perform data collection, profiling, exploration data analysis (EDA), and data preparation. Apply a range of ML techniques including supervised, unsupervised, and reinforcement learning. Design, develop, and deploy machine learning models using Python and popular ML frameworks Implement NLP solutions using NLP techniques like preprocessing, tokenization, vectorization, and semantic analysis. Develop and deploy GenAI solutions such as RAG systems and Agentic AI. Monitor model performance in production and implement retraining strategies. Adhere to and implement Responsible AI principles in all ML workflows. Present analytical insights to business stakeholders and project teams. Propose ML-based solutions and provide effort estimates for new use cases. Collaborate with data scientists and engineers on model training, evaluation, and deployment. Utilize AI services from cloud platforms such as Azure, AWS, and GCP.

Perform data collection, profiling, exploration data analysis (EDA), and data preparation. Apply a range of ML techniques including supervised, unsupervised, and reinforcement learning. Design, develop, and deploy machine learning models using Python and popular ML frameworks Implement NLP solutions using NLP techniques like preprocessing, tokenization, vectorization, and semantic analysis. Develop and deploy GenAI solutions such as RAG systems and Agentic AI. Monitor model performance in production and implement retraining strategies. Adhere to and implement Responsible AI principles in all ML workflows. Present analytical insights to business stakeholders and project teams. Propose ML-based solutions and provide effort estimates for new use cases. Collaborate with data scientists and engineers on model training, evaluation, and deployment. Utilize AI services from cloud platforms such as Azure, AWS, and GCP.