Machine Learning & Generative AI Specialist

As an AI Engineer with 4+ years of experience in Bangalore, your role will involve: - Data visualization to drive insights in the energy sector - Implementing data science solutions using machine learning, NLP, Gen AI, and deep learning techniques to optimize business outcomes - Evaluating the quality and effectiveness of data sources and data collection methodologies - Translating complex technical concepts into clear, actionable insights Your technical expertise should include proficiency in the following areas: - Cloud Platforms: Designing, developing, and deploying data science solutions on Azure, specifically Azure Machine Learning, Azure Databricks, and Azure Storage - Programming Languages: Proficiency in Python for data manipulation and analysis using Pandas and NumPy, as well as machine learning and deep learning using scikit-learn, TensorFlow, and PyTorch - Machine Learning: Developing and deploying machine learning models for supervised and unsupervised learning, regression, classification, and clustering, as well as model evaluation and selection - Optimizer: Using optimization techniques such as linear and nonlinear programming, and stochastic optimization to improve asset performance - Deep Learning Models: Developing and deploying models like Convolutional neural networks (CNNs), Recurrent neural networks (RNNs), and Long short-term memory (LSTM) networks - Generative AI: Exploring and applying generative AI techniques like Generative adversarial networks (GANs) and Variational autoencoders (VAEs), as well as Transformers To be eligible for this role, you should have: - A Bachelors degree in computer science, Data Science, Statistics, Mathematics, or a related field; a masters degree is preferred - 46 years of hands-on experience in data science or a related role, with a proven track record of successful project delivery As an AI Engineer with 4+ years of experience in Bangalore, your role will involve: - Data visualization to drive insights in the energy sector - Implementing data science solutions using machine learning, NLP, Gen AI, and deep learning techniques to optimize business outcomes - Evaluating the quality and effectiveness of data sources and data collection methodologies - Translating complex technical concepts into clear, actionable insights Your technical expertise should include proficiency in the following areas: - Cloud Platforms: Designing, developing, and deploying data science solutions on Azure, specifically Azure Machine Learning, Azure Databricks, and Azure Storage - Programming Languages: Proficiency in Python for data manipulation and analysis using Pandas and NumPy, as well as machine learning and deep learning using scikit-learn, TensorFlow, and PyTorch - Machine Learning: Developing and deploying machine learning models for supervised and unsupervised learning, regression, classification, and clustering, as well as model evaluation and selection - Optimizer: Using optimization techniques such as linear and nonlinear programming, and stochastic optimization to improve asset performance - Deep Learning Models: Developing and deploying models like Convolutional neural networks (CNNs), Recurrent neural networks (RNNs), and Long short-term memory (LSTM) networks - Generative AI: Exploring and applying generative AI techniques like Generative adversarial networks (GANs) and Variational autoencoders (VAEs), as well as Transformers To be eligible for this role, you should have: - A Bachelors degree in computer science, Data Science, Statistics, Mathematics, or a related field; a masters degree is preferred - 46 years of hands-on experience in data science or a related role, with a proven track record of successful project delivery