Sr Associate - Data ScientistEMBARKGCC SERVICES PRIVATE LIMITED • Bangalore North, KA, in
Sr Associate - Data Scientist
EMBARKGCC SERVICES PRIVATE LIMITED • Bangalore North, KA, in
9 days ago
Job type
Quick Apply
Job description
Job Description
Key Responsibilities
Build and optimize machine learning and deep learning models for classification, regression, recommendation, forecasting, and NLP use cases.
Develop end-to-end ML pipelines including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
Work with large-scale datasets using PySpark, Spark SQL, and distributed computing environments.
Implement NLP pipelines , including text preprocessing, embedding, transformers, and LLM-based solutions.
Requirements
Deploy ML models using MLOps practices on AWS / Azure / GCP (Sagemaker, ML Studio, Vertex AI, Kubeflow, MLflow).
Collaborate with data engineers to build scalable data pipelines and ensure high data quality.
Work with containerization and orchestration using Docker and Kubernetes .
Create clear technical documentation and present insights to cross-functional teams.
Create clear technical documentation and present insights to cross-functional teams.
Strong proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy) and LLMs
Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
Requirements
Key Responsibilities
Build and optimize machine learning and deep learning models for classification, regression, recommendation, forecasting, and NLP use cases.
Develop end-to-end ML pipelines including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
Work with large-scale datasets using PySpark, Spark SQL, and distributed computing environments.
Implement NLP pipelines, including text preprocessing, embeddings, transformers, and LLM-based solutions.
Deploy ML models using MLOps practices on AWS / Azure / GCP (Sagemaker, ML Studio, Vertex AI, Kubeflow, MLflow).
Collaborate with data engineers to build scalable data pipelines and ensure high data quality.
Work with containerization and orchestration using Docker and Kubernetes.
Create clear technical documentation and present insights to cross-functional teams.
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Data Scientist • Bangalore North, KA, in
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