About the Role:
We are looking for a passionate and innovative AI Data Scientist to join our advanced analytics and machine learning team. You will play a critical role in designing, building, and deploying AI models that power real-world applications across various domains such as customer experience, automation, personalization, forecasting, and more. This is a high-impact role offering the opportunity to contribute to cutting-edge AI initiatives in a collaborative and fast-paced environment.
Key Responsibilities:
- Design and implement machine learning and deep learning models for complex problems in areas such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics
- Perform exploratory data analysis, feature engineering, and data preprocessing for structured and unstructured data
- Train, evaluate, and optimize AI models using techniques such as supervised/unsupervised learning, transfer learning, and ensemble methods
- Collaborate with cross-functional teams including product, engineering, and data engineering to deploy AI models into production environments
- Monitor model performance and retrain models to maintain accuracy and reliability
- Stay abreast of the latest AI research and incorporate emerging techniques into applied projects
- Document experiments, findings, and processes to ensure transparency and reproducibility
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field
- 3–7 years of hands-on experience in developing and deploying AI/ML models
- Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras)
- Strong understanding of algorithms, data structures, model evaluation metrics, and applied statistics
- Experience working with NLP, computer vision, or large language models is a strong plus
- Familiarity with cloud-based ML environments (AWS, GCP, or Azure) and MLOps tools (e.g., MLflow, Docker, Kubernetes)
Preferred Qualifications:
- Experience with real-time model inference, edge AI, or generative AI models (e.g., transformers, GANs)
- Working knowledge of data pipeline tools (e.g., Apache Airflow, Spark, dbt)
- Publications, patents, or contributions to open-source AI projects
- Strong communication and stakeholder engagement skills
What We Offer:
- Competitive compensation with performance-based incentives
- Flexible working options (remote/hybrid)
- Comprehensive health, wellness, and professional development benefits
- Opportunities to work on impactful AI projects at scale
- An inclusive and innovation-driven workplace culture
How to Apply:
📩 Submit your resume and portfolio (GitHub, Kaggle, research papers, or project links) to: ai-careers@[yourcompany].com
Subject: Application – AI Data Scientist – [Your Name]
🗓️ Applications reviewed on a rolling basis