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Job Description
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. (ref: hirist.tech)
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