Posted on: 30/10/2025
Key Responsibilities :
- Design, develop, and deploy machine learning models and algorithms for real-world applications.
- Work with large datasets to perform data preprocessing, feature engineering, and model evaluation.
- Collaborate with cross-functional teams to integrate ML models into production systems.
- Experiment with deep learning architectures, including transformers and LLM-based models.
- Develop and maintain frontend components for AI-powered applications using React or similar frameworks.
- Continuously research and explore new techniques to enhance model performance and scalability.
Requirements :
- Masters degree or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
- 5 to 8 years of hands-on experience in machine learning or AI development.
- Strong proficiency in Python programming.
- Experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
- Solid understanding of machine learning fundamentals, including model evaluation and optimization.
- Familiarity with frontend development and frameworks like React.
- Basic understanding of LLMs and transformer-based architectures is a plus.
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills :
- Experience working in cloud-based ML environments (AWS, GCP, or Azure).
- Exposure to MLOps tools and practices for model deployment and monitoring.
- Understanding of data pipelines and ETL processes.
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