AI /ML Engineer

Key Skills: Gen AI, AI/ML, NLP, LLM, Python Roles and Responsibilities: Design, implement, and optimize generative AI architectures and models for production use cases.Build agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.Perform end-to-end AI/ML engineering: data preprocessing, feature engineering, model training, evaluation, and production optimization.Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets while ensuring data quality and integrity.Integrate AI models into production environments on cloud platforms (AWS/Azure/GCP) to ensure high availability and performance.Skills Required: 4 - 15 years of relevant experience; 2+ years specifically in AI/GenAI.GenAI and AI/ML engineering experience (2+ years in AI/GenAI).Strong knowledge of AI methodologies including generative models, machine learning, reinforcement learning, and natural language processing.Hands-on proficiency in end-to-end model development: data preprocessing, feature engineering, training, evaluation, and optimization.Programming and ML frameworks: Python (also .Net or Java), TensorFlow, PyTorch, and Keras; ability to deploy scalable solutions on AWS/Azure/GCP.Good to Have: NLP experience beyond core NLP concepts.Education: Bachelor's degree in Computer Science, Artificial Intelligence, or IT (or equivalent) Key Skills: Gen AI, AI/ML, NLP, LLM, Python Roles and Responsibilities: Design, implement, and optimize generative AI architectures and models for production use cases.Build agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.Perform end-to-end AI/ML engineering: data preprocessing, feature engineering, model training, evaluation, and production optimization.Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets while ensuring data quality and integrity.Integrate AI models into production environments on cloud platforms (AWS/Azure/GCP) to ensure high availability and performance.Skills Required: 4 - 15 years of relevant experience; 2+ years specifically in AI/GenAI.GenAI and AI/ML engineering experience (2+ years in AI/GenAI).Strong knowledge of AI methodologies including generative models, machine learning, reinforcement learning, and natural language processing.Hands-on proficiency in end-to-end model development: data preprocessing, feature engineering, training, evaluation, and optimization.Programming and ML frameworks: Python (also .Net or Java), TensorFlow, PyTorch, and Keras; ability to deploy scalable solutions on AWS/Azure/GCP.Good to Have: NLP experience beyond core NLP concepts.Education: Bachelor's degree in Computer Science, Artificial Intelligence, or IT (or equivalent)