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AWS Advanced Tier Services Partner · AWS AI/ML Consulting
AWS AI/ML Consulting & Development Services
Our certified AWS AI/ML experts help you build intelligent, scalable applications — from data science and model training to production deployment — across the full AWS machine learning stack.
Building AI/ML Software on AWS
Integrating AI/ML Into Existing Systems
Training & Deploying ML Models
Crafting Conversational Bots
NLP & Image Processing
Data Mining, ETL & Data Lakes
15+Years of
experience
experience
100%Reviews &
ratings
ratings
15+AWS
certified
certified
99+Happy
clients
clients
AWS AI/ML capabilities
Explore AWS
AI/ML Services
AWS's pre-trained AI services and machine learning infrastructure cover everything from forecasting to conversational bots — here's where our AI/ML consulting engineers spend most of their time.
Amazon SageMaker
A fully managed platform for building, training and tuning machine learning models — running many experiments to help identify the best-performing hyperparameters for your use case.
Amazon Forecast
Generate accurate forecasts from time-series data for demand planning, financial planning and resource planning, with easy integration into your existing tools.
Amazon Personalize
Bring Amazon-grade personalisation to your own product — real-time recommendations, personalised re-ranking and tailored direct marketing, without building a recommender system from scratch.
Amazon Lex
Build conversational interfaces powered by the same technology behind Alexa — voice and text bots for call-centre automation, app assistants and voice-driven workflows.
Amazon Polly
Turn text into lifelike speech for IVR systems, voice assistants and in-app narration, with newscaster and conversational speaking styles available out of the box.
Amazon Rekognition
Identify objects, people, text, scenes and activity across images and video, with custom labels trained on the objects and people that matter most to your business.
Amazon Textract
Extract text and structured data from scanned documents — including tables and handwriting — returned with bounding-box coordinates and a confidence score for every field.
Amazon Transcribe
Convert speech to accurately punctuated, speaker-separated text using automatic speech recognition, with automatic language identification built in.
Amazon Translate
Translate words, phrases or entire documents in real time or in batch, through a single API that carries every translation from source language to target.
Flexible engagement
Our Hiring Models for
AWS AI/ML Developers
We offer our proficient AWS team, experts and AWS AI/ML developers for hire on an hourly, part-time or full-time basis — as per your project requirements.
Hourly
Hours Per Day: Flexible. Minimum Hours: 40.
Part-Time
Hours Per Day: Flexible. Minimum Hours: 40.
Full-Time
Hours Per Day: 8. Minimum Hours: 40.
How we engage
Our Hiring Process for
AWS AI/ML Developers
You can hire AWS AI/ML developers and scale the team at any time. Here's how we take a project from first brief to development kick-off.
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Consult With Our Team
Discuss project details with our AWS AI/ML consulting and development team, covering data, models, timelines and technical constraints.
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Choose Your Engagement Model
Choose an engagement model and timeline that fits your budget and project scope — hourly, part-time or full-time.
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Development Begins
And we start project development, with your dedicated AWS AI/ML team building, training and deploying against the agreed plan.
Why Eternal
Why Choose Eternal for
AWS AI/ML Services
An expert team of dedicated AWS AI/ML consultants, developers and industry specialists — growing your business with the power of AWS AI and ML.
Data & IP Security
Full protection of your data and intellectual property across every engagement.
Transparent Development
Full visibility into progress, decisions and delivery at every stage.
Flawless Solutions Delivered
Rigorous QA and review before anything reaches production.
Technical Support Offered
Standing technical support long after your project ships.
Confidentiality with NDAs
Every engagement covered by a signed non-disclosure agreement.
Project Backup & Restoration
Backup and restoration built into every project we run.
No Hidden Development Costs
Clear scope and pricing agreed before work begins — no surprises.
Flexibility in Working Hours
Overlap with your timezone and working hours, wherever you are.
What Our Clients
Have To Say
Look at our clients' honest feedback to know why they leverage and value our services.
★★★★★
Large scale MongoDB development delivering multi type content within complex collections with embedded typing and logic and in multiple languages on AWS. Technically complex but delivered faultlessly. Thanks everyone at Eternal, job very well done!
Richard P.Bournemouth, GB
★★★★★
The Eternal team did an excellent job setting up our application. It was a complex scenario with several legacy issues, but they worked swiftly and communication was excellent, all managed through a very helpful online project management system. I will definitely be using them again in the future
David H.Leeds, GB
★★★★★
Great team to work with, they fixed a very difficult problem which 5 other coders could not figure out. They did in an hour. Amazing team, will hire again for future projects.
Edward B.Stockholm, SE
Technologies we leverage
Tools Behind Our
AWS AI/ML Delivery
The CI/CD and infrastructure toolset our AWS AI/ML engineers use day to day.
CodeCommit
CodeBuild
CodeDeploy
CodePipeline
Elastic Search
New Relic
GitHub
Terraform
Kubernetes
Puppet
Docker
JenkinsOur
Success Stories
Let us explore Eternal client stories enabling projects with AWS development and implementation.
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Email Sending Via AWS
We had a customer who wants to send 100K Emails in 24 hours with his existing application but he was not able to do it and can’t find a solution for this. Then once he talked to...
Read case study →02
AWS Modernization: Transforming Healthcare App into Serverless Powerhouse
Voxel Readers is a cloud-based medical reporting platform used by doctors, radiologists and clinics to generate, upload and download patient reports securely.
Read case study →Common questions
FAQs on AWS
AI/ML Services
Q
What are AI and ML services?
AI and ML services combine artificial intelligence and machine learning technologies to help organisations transform data into intelligent outcomes. AI enhances decision-making through automated reasoning, while ML builds models that continuously improve from new data. Common services include predictive analytics, smart automation, anomaly detection, NLP and advanced data processing — helping businesses increase productivity, cut costs and deliver personalised digital experiences.
Q
What does an AWS AI/ML consultant do?
An AI/ML consultant designs and implements artificial intelligence solutions that align with business needs. They assess your data, choose the right ML techniques, and build models for prediction, personalisation or automation — then integrate those models into your workflows, monitor performance, and provide strategy and roadmap planning along the way.
Q
How is AWS leveraged for Artificial Intelligence?
AWS's pre-trained AI services offer ready-made intelligence for your apps and workflows. They fit into your existing applications to enable use cases like custom recommendations, enhanced safety and security, and improved client engagement — without you needing to train a model from scratch.
Q
Can you build machine learning models on the AWS platform?
Yes — using services like Amazon SageMaker alongside open-source frameworks such as PyTorch, an open-source deep learning framework that makes it straightforward to build machine learning models and deploy them right through to production.
Q
Where does AWS store machine learning models?
Machine learning models are typically stored in Amazon S3 or Amazon EFS. They can also be packaged as a container image used by a Lambda function, with the image itself kept in Amazon ECR for safe storage.
Q
Which AWS service leverages ML to identify sensitive data?
Amazon Macie is a data privacy and security service that leverages machine learning and pattern matching to discover and protect your sensitive data.
Q
Which AWS ML services need no prior ML experience to use?
Amazon Comprehend is a natural language processing service that uses ML to find relationships and insights right in your text — no prior machine learning practice is needed to put it to work.
Get in touch
Let's Talk About Your
AI/ML Needs
Have queries about your AWS AI/ML project ideas and concepts? Drop in your project details to discuss with our AI/ML consultants and developers.
- Swift hiring and onboarding
- Experienced and trained AWS team
- Quality consulting and programming
Your project is in accredited hands
