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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
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Wed Oct 23 23:24:00 UTC 2024

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