Key Responsibilities :

- Develop and deploy machine learning and deep learning models to solve complex business problems.

- Work with large structured and unstructured datasets to extract meaningful insights.

- Design and implement NLP models for text analytics, classification, and information extraction.

- Build scalable data pipelines and ML workflows using cloud technologies.

- Work with GCP services for model development, deployment, and data processing.

- Implement model training, evaluation, and optimization using frameworks such as TensorFlow and PyTorch.

- Collaborate with cross-functional teams including data engineers, analysts, and product teams.

- Perform feature engineering, data preprocessing, and statistical analysis.

- Ensure model performance, monitoring, and continuous improvement in production environments.

Required Skills :

- Strong experience in Python for data science and machine learning.

- Hands-on experience in Machine Learning and Deep Learning algorithms.

- Expertise in Natural Language Processing (NLP).

- Experience with ML frameworks such as TensorFlow and PyTorch.

- Experience working on Google Cloud Platform (GCP) projects.

- Strong knowledge of data analysis, statistics, and predictive modeling.

- Experience with SQL and data processing frameworks.

Good to Have :

- Experience with BigQuery, Vertex AI, Cloud Storage, or Dataflow on Google Cloud Platform.

- Experience with Spark / PySpark or big data technologies.

- Exposure to MLOps, model deployment, and CI/CD pipelines.

- Knowledge of LLMs or Generative AI is a plus.