Advanced Predictive Model Developer

2 weeks ago


Tirupati, India beBeeDataScience Full time

We are seeking a highly skilled Senior Data Scientist to join our team in a remote capacity.This role focuses on building and deploying advanced predictive models to inform key business decisions.The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue.This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.Key Responsibilities:Predictive Modeling & Machine Learning- Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.- Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.- Perform model validation, tuning, and performance monitoring.- Deliver actionable insights from complex datasets to support strategic decision-making.Data Engineering & Cloud Computing- Design scalable and secure ETL pipelines using AWS Glue.- Manage and optimize data infrastructure in the AWS environment.- Ensure high data integrity and availability across the pipeline.- Integrate AWS services to support the end-to-end machine learning lifecycle.Python Programming- Write efficient, reusable Python code for data processing and model development.- Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.- Maintain documentation and ensure best coding practices.Collaboration & Communication- Work with engineering, analytics, and business teams to understand and solve business challenges.- Present complex models and insights to both technical and non-technical stakeholders.- Participate in sprint planning, stand-ups, and reviews in an Agile setup.RequirementsA minimum of 5 years of experience in a related field. A degree in Computer Science or a related field is preferred.Preferred Skills:Experience with AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorchStrong understanding of machine learning algorithms and techniquesProficiency in Python programmingExperience with data engineering and cloud computingExcellent communication and collaboration skills


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