Machine learning development services that turn your data into decisions

Bring in machine learning engineers who know how to move fast, build right, and integrate deeply. Our machine learning development services help you go from idea to production, without long hiring delays.

Let's discuss your talent needs

Our clients

3k+

Qualified technical talent experts

Full-time, part-time, or project-based hires to suit your needs

Right fit guarantee included

360°

support that does not stop at hiring

We stay involved post-hire with regular check-ins, performance reviews, and client feedback loops

Custom ML model development

Our machine learning development services connect you with engineers experienced in building supervised, unsupervised, and deep learning models for real business use cases.

Latin-American talent

Access vetted ML specialists from Latin America who work in your stack: Python, TensorFlow, PyTorch, or custom pipelines, and integrate directly into your workflows.

Data handling and preprocessing

We provide engineers skilled in cleaning, labeling, and transforming messy data into structured inputs, ready to feed into high-performance ML systems.

Challenge

3M HIS expanded their support team to assist German and French-speaking customers and cover holidays, addressing customer service demands effectively.

Collaboration

We leveraged our talent pool and assembled a team of experts whose skillsets fit 3M’s very specific skill and capacity requirements.

Role

Senior IT support specialist

Challenge

A Swiss tech firm sought a dependable partner for agile workload management across diverse projects serving clients from various industries.

* Customer confidential - subject to NDA

Collaboration

For over 7 years we have continuously supported them by allocating our internal resources to projects with a shortage of workforce.

Impact

1 mobile application with web interface for the back-end
2 desktop applications
22 web applications

Challenge

US-based global consulting firm* with 350+ employees urgently needed to fill multiple openings for Data Engineer and Report Writer roles.

* Customer confidential - subject to NDA

Collaboration

In less than two weeks we sourced the candidates from Latin America and provided them to our client under the staff augmentation model.

Roles

Azure Data Engineers
AWS Data Engineers
Snowflake Data Engineers
Data Analysts
Data Specialists

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Qualified technical talent experts

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Expertise in technologies

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Countries with talent availability

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Client satisfaction rate

Cost savings

Hire nearshore ML engineers through our IT staff augmentation model and save on hiring costs while gaining access to deep, specialized technical skills.

Real-time collaboration

Our engineers work in your time zone, attend daily syncs, and deliver on sprint goals, ensuring your ML projects don’t stall due to misaligned schedules.

Flexible scaling

Whether you're testing a proof of concept or building a large-scale recommendation engine, our machine learning development services flex to meet your evolving needs.

Let's discuss your talent needs

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Frequently asked questions

If you require any further information, please do not hesitate to contact our team, who will be happy to answer any questions you may have.

1. Do your ML engineers handle data labeling and preparation too?

Absolutely. Our machine learning development services include support for data cleaning, feature engineering, annotation workflows, and creating training-ready datasets based on your raw inputs.

2. What frameworks do your developers use for machine learning projects?

Our nearshore ML engineers work with frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face. We’ll match you with talent who are already fluent in the tools your project uses.

3. Can you help deploy machine learning models into production?

Yes. We don’t stop at training. Our machine learning development services cover deployment, model versioning, API integration, and setting up monitoring for real-time or batch inference.

4. 4. Do your engineers have experience with industry-specific ML use cases?

Yes. Our engineers have worked on fraud detection (finance), demand forecasting (retail), NLP tools (legal, insurance), and more. We pair you with ML talent experienced in your industry context.

5. 5. How fast can I get started with machine learning development services?

Most clients start within 7 to 14 days. After your discovery call, we’ll match you with ML engineers who fit your domain, tools, and business goals so you can start fast.

Machine learning development services that turn your data into decisions

Our clients

The precision of a Swiss watch, applied to IT talent search