Actively hiring· Posted 1 month ago

Data Scientist

Full TimeIn-OfficeData Science/ML
Salary
Not disclosed
Experience
Any
Work mode
In-Office

The role

About the role

1 min read

CGI is hiring a Senior Data Scientist for its Hyderabad location. The role focuses on applying machine learning, deep learning, Generative AI, and predictive modeling to solve real-world business problems.

The position involves designing, developing, validating, and deploying scalable AI/ML solutions while working with data engineers, product teams, and business stakeholders.

Key Responsibilities

  • Design, build, and validate machine learning and deep learning models.
  • Apply statistical techniques to analyze large datasets and generate actionable insights.
  • Develop and evaluate models using frameworks such as Scikit-learn, PyTorch, and TensorFlow.
  • Drive the adoption of Generative AI and LLM-based solutions.
  • Apply prompt engineering and ethical AI practices.
  • Collaborate with data engineers, product teams, and business stakeholders.
  • Contribute to code reviews and model documentation.
  • Mentor junior data scientists.
  • Stay updated with the latest AI/ML research and technologies.
  • Develop scalable AI/ML solutions for production environments.

What you bring

Requirements

REQUIREMENTS

  • Machine Learning
  • Deep Learning
  • Data Science
  • Statistical Analysis
  • Mathematical Modeling
  • Predictive Modeling
  • Generative AI
  • Large Language Models
  • NLP
  • Python
  • NumPy
  • pandas
  • matplotlib
  • Scikit-learn
  • PyTorch
  • TensorFlow
  • HuggingFace
  • Hypothesis Testing
  • A/B Testing
  • Regression
  • Probability Theory
  • Model Validation
  • Bias-Variance Trade-off
  • Regularization
  • Overfitting
  • Decision Trees
  • Ensemble Models
  • SVM
  • Neural Networks
  • Clustering
  • CNN
  • RNN
  • Transformers
  • LSTM
  • Prompt Engineering
  • Embeddings
  • Fine-tuning
  • Problem Solving
  • Git
  • ML Pipelines
  • Cloud Platforms
  • Docker
  • Kubernetes

PREFERRED

  • Generative Modeling
  • VAEs
  • GANs
  • Diffusion Models
  • AWS
  • GCP
  • Azure
  • MLflow
  • Airflow
  • Kubeflow
  • Docker
  • Kubernetes
  • HuggingFace
  • Experience with production AI/ML deployment
  • Mentoring junior data scientists

CGI