Artificial Intelligence Engineer

Role - AI Engineer Experience - 4+Yrs Location - Bangalore

Roles & Responsibilities • Data visualization to drive insights in energy • Implement data science solutions leveraging machine learning, NLP, Gen AI, deep learning techniques to optimize business outcomes • Evaluate the quality and effectiveness of data sources and data collection methodologies • Translate complex technical concepts into clear, actionable, technical insights

Technical Expertise: • Cloud Platforms: Design, develop, and deploy data science solutions on Azure, including: - Azure Machine Learning - Azure Databricks - Azure Storage • Programming Languages: Proficiency in Python, including: - Data manipulation and analysis using Pandas and NumPy - Machine learning and deep learning using scikit-learn, TensorFlow, and PyTorch • Machine Learning: Develop and deploy machine learning models, including: - Supervised and unsupervised learning - Regression, classification, and clustering - Model evaluation and selection • Optimizer: Use optimization techniques to improve asset performance, including: - Linear and nonlinear programming - Stochastic optimization • Deep Learning Models: Develop and deploy deep learning models, including: - Convolutional neural networks (CNNs) - Recurrent neural networks (RNNs) - Long short-term memory (LSTM) networks • Generative AI: Explore and apply generative AI techniques, including: - Generative adversarial networks (GANs) - Variational autoencoders (VAEs) - Transformers

Profile & Eligibility Criteria • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field; master’s degree preferred. • 4–6 years of hands-on experience in data science or a related role, with a proven track record of successful project delivery.