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

Bachelors degree in computer science, Data Science, Statistics, Mathematics, or a related field; masters degree preferred.

46 years of hands-on experience in data science or a related role, with a proven

track record of successful project delivery.