We are seeking a skilled Data Scientist with experience in Python, AI/ML to design, develop, and deploy cutting-edge machine learning solutions. You will work closely with data scientists, analysts, and engineering teams to translate business needs into scalable AI-driven applications.

Key Responsibilities:

Design, implement, and optimize machine learning models and algorithms.
Work with large datasets to perform data cleaning, preprocessing, and feature engineering.
Develop and maintain Python-based AI/ML pipelines and APIs for integration with production systems.
Apply deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for NLP, computer vision, or predictive analytics.
Evaluate model performance using statistical and ML metrics; fine-tune hyperparameters for optimal results.

Key Qualifications:

- A seasoned resource with 4+ years of experience in Python, AI & ML

- Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn.

- Experience with ML/DL frameworks like TensorFlow, PyTorch, or Keras.

- Good understanding of data preprocessing, feature selection, and model evaluation techniques.

- Understanding of Generative AI and LLM fine-tuning.

- Exposure to big data technologies (Spark, Hadoop).

- Familiarity with cloud AI services (GCP, AWS, Azure ML/AI Platform) is a plus.

- Knowledge of SQL/NoSQL databases and basic data engineering concepts.

- Strong problem-solving skills and ability to work in agile environments