AWS Machine Learning Specialist

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AWS Machine Learning Specialist

On Boarding Process

  • 1
    Job description

    Providing a clear and comprehensive overview of the role's responsibilities and expectations.

  • 2
    Curated Talent Shortlisting

    Thoughtfully selecting and presenting a tailored pool of skilled candidates.

  • 3
    In-depth Consultant Engagement

    Engaging candidates in thorough discussions to understand their expertise and alignment with client needs.

  • 4
    Seamless Integration into Client Team

    Ensuring a smooth transition and effective collaboration as the consultant becomes an integral part of the client's team.

Exploring AWS Machine Learning Specialist?

An AWS Machine Learning Specialist is responsible for designing, implementing, and deploying machine learning solutions using the Amazon Web Services platform. Their expertise lies in leveraging AWS's suite of machine learning tools and services to cater to specific business needs.

Anicalls works with AI/ML tools provided by AWS, like SageMaker, to develop, train, and deploy machine learning models at scale.

Roles & Responsibilities

Solution Design

Design end-to-end machine learning solutions that integrate AWS services to address business problems.

Model Development

Use AWS tools like SageMaker to develop, train, and tune machine learning models.

Data Processing

Process and clean data to make it suitable for model training using AWS services like AWS Glue, Lambda, and Athena.

Feature Engineering

Extract, transform, and select relevant features from datasets to improve model performance.

Model Deployment

Deploy machine learning models at scale using AWS SageMaker, Lambda, and API Gateway.

Model Monitoring

Monitor the performance of models in real-time and refine as necessary, utilizing services like Amazon CloudWatch.

Real-time Analytics

Implement real-time analytics and inference using services like Amazon Kinesis and SageMaker Endpoints.


Ensure all data and models are secure using AWS tools like IAM, KMS, and Amazon VPC.


Continually optimize costs, performance, and scalability of machine learning solutions deployed on AWS.

Benefits With Anicalls

Our Commitments

Guaranteed Talent Satisfaction

Flexible Engagement Terms

Performance Review Report Policy


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