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’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

Altamira is trusted by

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.

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.

Take the next step

Let’s treat the core problems, not symptoms.

Estimate my project

Receive a personalised project estimate and take the first step towards bringing your idea to life.

Discover success stories

Explore our case studies and find out how we have helped some of our clients from around the world.

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.

Read case

Patient Care App

Healthcare Mobile App

The mobile app aims to present ways to help patients with chronic diseases and, at the same time, monetize the app by selling data collected directly from patients, which is of significant value to pharmaceutical companies.

Read case

Point of Sales Saas Solution

Retail POS

Zemp 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.

Read case

All-in-one Solution App for Local Businesses

Social Network Mobile App

A native iOS and Android app that connects neighbors 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.

Read case

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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