| Hexaware: Data Scientist (AWS & SageMaker Experience) @ Reston, VA at Reston, Virginia, USA |
| Email: [email protected] |
| Need H1B with Passport No Hexaware Hi, Hope you are doing great. Please go through the below mentioned requirement and send your updated word format resume if you are interested for this requirement. Job Title: Data Scientist (AWS & SageMaker Experience) Duration: 6+ Months Location: Reston, VA Design, develop, and deploy machine learning models using Amazon SageMaker and other AWS services. Analyze large datasets to extract actionable insights and build predictive models. Perform end-to-end data science tasks, including data collection, preprocessing, model training, validation, and optimization. Collaborate with engineering and DevOps teams to implement scalable and reliable cloud-based machine learning pipelines. Conduct A/B testing and deploy machine learning models to production environments. Develop and maintain data pipelines using AWS Glue, Lambda, S3, RDS, and other related services. Monitor and evaluate model performance and continuously optimize for accuracy and efficiency. Prepare and present detailed reports and visualizations for stakeholders to drive business decisions. Stay up to date with the latest advancements in data science, cloud computing, and machine learning technologies. Required Qualifications: Bachelors/Masters degree in Data Science, Computer Science, Statistics, or a related field. 8 years of experience working as a Data Scientist, preferably in a cloud environment. Strong expertise in AWS services: SageMaker, S3, EC2, Lambda, Glue, Redshift, etc. Hands-on experience with Amazon SageMaker for building, training, and deploying machine learning models. Proficiency in Python and relevant machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas. Experience in building, deploying, and monitoring machine learning models in production environments. Strong knowledge of SQL and working with large relational databases. Familiarity with DevOps practices and model deployment strategies in cloud environments. Experience in model interpretability and tuning machine learning models. Strong problem-solving skills and ability to work with complex datasets. Preferred Qualifications: Experience with AWS CloudFormation, AWS Step Functions, or Terraform for infrastructure automation. Familiarity with big data tools like Apache Spark, Hadoop, or EMR. Knowledge of advanced ML techniques such as deep learning, reinforcement learning, or natural language processing (NLP). Understanding of MLOps and CI/CD pipelines for machine learning models. Experience with data visualization tools such as Tableau, QuickSight, or Power BI. Thanks & Regards, Karunakar Basireddy Sr. Technical Recruiter Email Id: [email protected] -- Keywords: continuous integration continuous deployment machine learning business intelligence sthree information technology golang Idaho Virginia Hexaware: Data Scientist (AWS & SageMaker Experience) @ Reston, VA [email protected] |
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| Wed Oct 30 21:13:00 UTC 2024 |