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 transparent, 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 Num Py
- Machine learning and deep learning using scikit-learn, Tensor Flow, and Py Torch
• 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.