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
- Pool of 20+ skilled specialists
- Quick and easy hiring process
- Accumulated experience of 10+ years in software outsourcing
- Strict technical selection criteria for engineers
- Transparent pricing model
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
People also asked
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.
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.
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.
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.
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.
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.
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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