| Critical role opening for the ML Engg. with AWS Sagemaker location-: CT at Remote, Remote, USA |
| Email: [email protected] |
| From: nikhil, Creaservices [email protected] Reply to: [email protected] Hi , I Hope you are doing well! We have a critical role opening with our direct client. If you are interested please share your response. Note-: KIndly mention location and visa status of the candidate. Role-: Machine Learning Engineer (AWS SageMaker) Location: CT Key Responsibilities: Data Processing : Pull and process data from Amazon S3 for analysis and modeling, ensuring data quality and integrity. Model Development : Utilize Amazon SageMaker to build, train, and deploy machine learning models that align with business objectives. Web Application Development : Develop and maintain interactive web applications for data exploration and modeling, incorporating live code, equations, visualizations, and narrative text. Collaboration : Work closely with data engineers and other stakeholders to understand data requirements and enhance data quality. Best Practices : Implement best practices for version control, reproducibility, and documentation throughout the modeling process. Performance Monitoring : Monitor and optimize model performance, ensuring alignment with key business metrics and objectives. Continuous Learning : Stay updated on the latest trends and technologies in machine learning and cloud computing to drive innovation. Qualifications: Bachelors degree in Computer Science, Data Science, Engineering, or a related field. Proven experience with Amazon SageMaker and AWS services, particularly S3. Strong proficiency in Python, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Experience with Jupyter Notebooks for data analysis and modeling. Familiarity with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch). Excellent problem-solving skills with the ability to work both independently and collaboratively in a team environment. Strong communication skills, capable of conveying complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with data visualization tools (e.g., Matplotlib, Seaborn). Knowledge of containerization technologies (e.g., Docker) is a plus. Familiarity with CI/CD practices for machine learning projects. Regards, Nikhil Kabir Talent Acquisition Crea Services LLC | | E-mail: [email protected] Visit us: https://www.creaservices.net/ Keywords: continuous integration continuous deployment sthree Connecticut Critical role opening for the ML Engg. with AWS Sagemaker location-: CT [email protected] |
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| Wed Oct 23 23:24:00 UTC 2024 |