Flexible Hiring Models
Whether you need permanent employees, contract-based workers, or temporary staffing solutions, Anicalls offers a variety of hiring models tailored to your unique business requirements.
Providing a clear and comprehensive overview of the role's responsibilities and expectations.
Thoughtfully selecting and presenting a tailored pool of skilled candidates.
Engaging candidates in thorough discussions to understand their expertise and alignment with client needs.
Ensuring a smooth transition and effective collaboration as the consultant becomes an integral part of the client's team.
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.
Design end-to-end machine learning solutions that integrate AWS services to address business problems.
Use AWS tools like SageMaker to develop, train, and tune machine learning models.
Process and clean data to make it suitable for model training using AWS services like AWS Glue, Lambda, and Athena.
Extract, transform, and select relevant features from datasets to improve model performance.
Deploy machine learning models at scale using AWS SageMaker, Lambda, and API Gateway.
Monitor the performance of models in real-time and refine as necessary, utilizing services like Amazon CloudWatch.
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.