IT Outstaffing Services      AI/ML Engineering Teams

AI/ML Engineering Teams

Nurture and Scale Your AI Practice with Our AI/ML Engineering Teams

The development of effective AI/ML solutions is often complex and highly effort-intensive. Back up your tech team with our seasoned AI/ML engineers to assist at every stage of your AI project – from concept to deployment. Deliver bespoke AI solutions that streamline processes and unlock new possibilities for growth and innovation.

From pattern recognition to predictive analytics, our AI engineers are equipped with the latest technologies, tools, and frameworks

AI/ML engineering teams with Altamira

Altamira is trusted by

Altamira’s technical expertise

We work hard to widen our technical expertise and stay aware of the latest market trends. Working with Altamira, you get access to the 8% of the best-selected technical experts in the digital industry.

Outstaffing our AI/ML team is the best fit for

Companies that need to extend their expertise

Businesses that need cost-efficient alternatives

Businesses with tight deadlines and need a quick start

A project that involves a diverse tech stack

Projects with variable scope and specifications

Solution compliant with your processes and policies

How it works

01 Understanding your needs

02 Selecting the right talent

03 Agree on contract terms

04 Seamless integration

We start with a consultation to understand your project requirements, challenges, and goals. Our AI team will analyse your specific AI/ML needs to match you with the right expertise.

Based on your project's needs, we curate a list of AI/ML engineers from our extensive talent pool. You get to review the profiles of proposed experts and select the ones that best fit your project.

Our legal team prepares a contract outlining the scope of work, timelines, pricing, and other terms. We will negotiate terms, ensuring they align with both parties' expectations and legal compliance.

Finally, our AI/ML engineers integrate into your existing teams, adopting your tools and processes for smooth collaboration.

Our AI/ML engineering teams will help you with

Data Governance, Data Pipelines, and MLOps

Data quality is the key to any AI/ML project completion. Altamira professionals will be a valuable asset to your team in establishing the proper methodology to oversee and manage your data.

AI/ML models assessment and implementation

Our specialised framework aims to set up appropriate governance boundaries, ensuring the AI/ML models selected or created maintain their effectiveness and provide the expected value.

Key pre-conditions for outstaffing Artificial Intelligence or Machine Learning teams

01 AI/ML expertise

02 Data annotations

03 Use case forming

04 Problem-solving

05 Big data

06 Niche knowledge

07 Ethical understanding

You may need strong coding proficiency for AI/ML algorithms along with expertise across various programming languages and technologies, covering neural networks, deep learning, big data analytics, etc. Altamira's experts will drive your projects to new heights of technological excellence.

Poorly annotated data can lead to biased, unreliable, or inaccurate models. Our team will help you identify and address issues such as missing values, outliers, or inconsistencies in the data.

As the initial phase in project development, it helps to define the specific problem statements and objectives that AI/ML solutions aim to address. This process involves meticulous analysis of business requirements, data availability, and domain expertise to ensure alignment with organizational goals. Entrust our engineering teams to polish the potential use case and translate it into real-world solutions.

Having a strong understanding of business context, our professionals apply AI/ML solutions to solve complex, real-world business problems.

Since AI/ML heavily relies on data, Altamira's AI teams are experienced in data engineering, data analysis, and large datasets management.

From healthcare to retail, our specialists have unique experience across numerous domains and are familiar with specific industry challenges.

We offer strong expertise across ethical considerations in AI/ML, including data privacy, algorithm bias, and compliance with relevant regulations.

Case studies

Custom Mobile App for Dog Owners

Mobile App

Modern technology can help owners care for their dogs and keep them safe. GPS tracks and saves dogs’ history for their whole life, easily transfers it to new owners and ensures the security and detectability of the animal.

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Golf Training App Powered by IoT

Software Development

A golf training app that helps players improve their unique golf style. An opportunity for a deep configuration of the swing goal, great visual support, advanced algorithms, and effective feedback makes this project a revolution for golf!

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Point of Sales SaaS Solution


ZempCenter is a multifunctional Point of Sales mobile app that helps retail companies to manage orders, check inventory and stock count, generate employee reports, perform convenient transactions, and see sales reports.

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All-in-one Solution App for Local Businesses

Social Network

A native iOS and Android app that connects neighbours and helps local businesses to grow within local communities. Bestyn includes posts sharing, private chats, stories and built-in editor for their creation, and tools for promoting local businesses.

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Mobile Payment and Virtual Terminal App

Mobile App

The SkipCash mobile payment app is operated in Qatar, where common PoS terminals are not widespread. SkipCash tries to solve this problem with a mobile payment app that replaces the payment terminal on the seller's side and replaces the payment card on the client's side.


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Altamira financial advisors - financial stability - mobile banking - financial management

Slovak National Theater Web Development


We took over the maintenance, continuous improvement, and further development of the website for the most famous and largest Slovak cultural institution – Slovak National Theater.

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People also asked

How can a DevOps team take advantage of AI?

DevOps teams use AI to automate complex processes, improve decision-making with predictive analytics, and enhance software quality through advanced testing techniques. Contact us to learn more about the benefits we can bring to your company.

Which engineering branch is best for AI?

Computer Science and engineering is regarded as the most suitable branch for AI, offering a strong foundation in algorithms, data structures, and programming. Contact us to learn about the opportunities we can bring to your project.

How do you structure an AI team?

As a rule, the AI team comprises AI researchers, ML engineers, data engineers, software developers, and project managers. Machine Learning team structure can be scaled or reversed when needed. Altamira balance expertise in AI with software development skills aligned with the customer’s strategic goals. Contact us to hire AI engineers who make a difference.

What are ML Engineers?

ML engineers specialise in designing, implementing, and maintaining machine learning models. They work closely with data to build systems that can learn from and make decisions based on that data.

How do you structure a ML team?

Machine Learning team usually consists of ML engineers, data scientists, data analysts, and data engineers. Our main focus is on a mix of skills in data processing, model building, and integration of ML models into larger systems or applications. For more information, contact us.

Are ML Engineers in demand?

Yes, ML engineers are in high demand due to the growing need for AI and ML capabilities in various industries. Their expertise in building and deploying ML models is essential for businesses leveraging data-driven decision-making.

Is there a shortage of ML Engineers?

There is a significant shortage of skilled ML engineers, as the demand for AI and ML expertise has surged faster than the supply of qualified professionals. This gap highlights the need for more specialised training in this field. Contact us to hire ML engineers and reinforce your team’s capabilities.

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