Home - Anicalls

AWS Machine Learning Specialist

A Quality Quotient: With an unwavering commitment to quality, Anicalls raises the bar, ensuring excellence in every aspect of our collaboration.

Watch Video

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.

Security

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

Optimization

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

Benefits With Anicalls

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.

Dedicated Support

From defining job descriptions to onboarding, our dedicated account managers and support team are there to assist and ensure a seamless hiring journey.

Cost-Efficient Recruitment

Achieve a notable reduction in hiring costs. Our efficient processes and vast network allow us to provide top talent without the exorbitant fees typically associated with recruitment agencies.

Skill Enhancement Partnerships

Benefit from our collaborations with training institutes. Should a candidate require specific upskilling, we facilitate the process, ensuring they're job-ready.

Transparent Communication

Stay informed at every phase of the recruitment process. Regular updates, feedback loops, and open channels of communication are hallmarks of our service.

Our Commitments

Guaranteed Talent Satisfaction

Flexible Engagement Terms

Performance Review Report Policy

Testimonials

My goal of working at one of the top five firms in the world has been realized because to Anicalls. The offer letter I'm holding in my hand right now is delicious since it promises a sizable pay package.

Emmett Shaw

Thank you for putting this Oracle-Fusion (HRMS) job up for grabs! The tough tasks and duties of my job certainly allow me to have the best career possible. Eager to master a variety of skills.

Collis Ta'eed

I needed to convey my gratefulness for Anicalls considering me for this onsite IBM-BPM position. I genuinely appreciated the remarkable work Anicalls do.

Mary Jane