Hire Machine Learning Engineers to Unlock the Power of Data-Driven Solutions
Empower your business with skilled machine learning engineers who design, develop, and deploy advanced ML models. From predictive analytics to AI-powered tools, we deliver solutions tailored to your goals.
How Our Talent as a Service Solves Your Problems
Quickly Onboard ML Experts
Start your project with experienced machine learning engineers ready to integrate into your team. Avoid recruitment delays and achieve faster results.
Bridge Expertise Gaps Seamlessly
Hire professionals skilled in Python, TensorFlow, Scikit-learn, and advanced ML algorithms. Enhance your team with cutting-edge expertise in data modeling and machine learning.
Scale Your Team with Flexibility
Adapt your team size as your project evolves. Scale up for intensive phases or scale down post-deployment with complete ease and flexibility.
Simplify Administrative Burdens
Focus on innovation while we handle payroll, compliance, and HR tasks. Streamline operational overhead with our efficient outstaffing model.
Ensure Continuity and Meet Deadlines
Maintain momentum with prompt replacements for unavailable team members. Keep projects on track and deliver results on time with reliable support.
What Can Our Machine Learning Engineers
Do for Your Business?
Predictive Analytics Development
Recommendation Systems
Natural Language Processing (NLP)
Computer Vision Applications
Model Optimization and Maintenance
Create predictive models that forecast trends, behaviors, and outcomes. Leverage data to make informed decisions and improve operational efficiency.
Develop personalized recommendation engines to enhance user engagement. Deliver tailored experiences that drive retention and satisfaction.
Build systems for text analysis, sentiment detection, and chatbots. Unlock insights from unstructured data with state-of-the-art NLP solutions.
Design models for image recognition, object detection, and video analysis. Enhance automation and user experiences with advanced computer vision tools.
Fine-tune and maintain ML models for performance and scalability. Ensure your systems remain cutting-edge with regular updates and improvements.
Predictive Analytics Development
Create predictive models that forecast trends, behaviors, and outcomes. Leverage data to make informed decisions and improve operational efficiency.
Recommendation Systems
Develop personalized recommendation engines to enhance user engagement. Deliver tailored experiences that drive retention and satisfaction.
Natural Language Processing (NLP)
Build systems for text analysis, sentiment detection, and chatbots. Unlock insights from unstructured data with state-of-the-art NLP solutions.
Computer Vision Applications
Design models for image recognition, object detection, and video analysis. Enhance automation and user experiences with advanced computer vision tools.
Model Optimization and Maintenance
Fine-tune and maintain ML models for performance and scalability. Ensure your systems remain cutting-edge with regular updates and improvements.
Hire a Machine learning engineer faster and cheaper than in-house, who feels like in-house and is more reliable than a freelancer
Vetted for Quality
Each developer is screened for real-world tech experience — not just textbook knowledge. You get devs who’ve built complex SPAs, handled performance tuning, and worked with modular architectures.
Ready in Days, Not Weeks
Intelvision can match you with a developer fast — usually within 2–4 days — without compromising on fit or quality.
Seamless Integration
Devs are trained to plug into existing teams and workflows with minimal friction. Agile, Git-based collaboration, CI/CD familiarity, and clean code practices are standard.
Business-first Thinking
They’re not just coders — Intelvision devs understand product goals and build accordingly. You won’t have to overexplain user flows or tech tradeoffs.
Flexible Terms, Fair Rates
You get senior-level expertise with transparent pricing (typically €30–50/hr) and no long-term lock-in unless you’re happy.
DACH Region Experience
Developers have experience working with German and Swiss companies — timezone, culture, and documentation are familiar territory.
Try First, Decide Later
Intelvision offers a no-risk start: you only pay if you’re happy with the developer after the first steps.
How it works
Send us the skills and experience level you need.
Meet your selected developer to ensure they are the right fit for your project.
Integrate your developer into your team and align on processes.
Begin collaborating directly to bring your projects to life.
Our clients say:
“They take care of their developers and stay very close to them to ensure everything is well with us.”
Why top DACH companies choose Intelvision
Five product-scale features released and development costs reduced by 50%.
1 Full-Stack developer, 1 Back-End developer, 2 Front-End developers, 1 QA
3,5 years working together
Accelerated internal operations by 250%, achieved 0€ hiring expense.
Mobile Developer, Backend Developer, QA, PM/BA
3 months
Accelerated project timelines by 25%, reduced development costs by 30%.
2 Full-Stack Developers
Duration: 2.5 years
Pricing
Customize your team, see your savings in seconds, and use the form below to send your request immediately
FAQ
What types of projects are ideal for machine learning engineers?
ML engineers excel in developing predictive models, NLP systems, computer vision applications, and recommendation engines. Their expertise ensures innovative and efficient solutions.
What skills do your ML engineers have?
Our engineers are proficient in Python, TensorFlow, Scikit-learn, and advanced ML algorithms. They specialize in data modeling, feature engineering, and optimization techniques.
How quickly can I find a machine learning engineer to hire?
You can find an ML engineer and hire him within 2 weeks. Our streamlined process ensures your project starts promptly and progresses efficiently.
Can your engineers integrate with my existing systems?
Yes, our engineers adapt to your tools, technologies, and workflows seamlessly. They ensure smooth integration with your infrastructure and data pipelines.
Do your engineers have experience with cloud-based ML solutions?
Absolutely. Our engineers specialize in deploying ML models on cloud platforms like AWS, Azure, and Google Cloud. They ensure scalability and cost-efficiency.
What engagement models do you offer?
We provide a flexible full-time engagement model that ensures you have dedicated developers for as long as you need them. If your requirements change or the project wraps up sooner, you can end the collaboration with a 30-day notice, giving you control over your budget and resources.
What happens if the engineer doesn’t meet my expectations?
We provide a prompt replacement at no additional cost. Your satisfaction and project success are our top priorities.
Do you offer post-deployment support?
Yes, we provide ongoing maintenance, performance optimization, and new feature development. Our support ensures your cloud systems continue to perform at their best.
