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.