AI talent is scarce. Here’s how to stay ahead.
AI isn’t just another trend; it’s reshaping how you lead, innovate, and stay competitive. You’re under pressure to move fast, build smarter solutions, and keep your team ahead of the curve. But without the right AI and machine learning talent, it’s hard to turn vision into reality. We get it and we’re here to help.
But here’s the challenge we keep hearing from founders and tech leaders: “It’s tough to find the right AI/Machine Learning talent, especially in the U.S.”
And let’s be honest, it’s true. Demand is high, salaries are rising fast, and the competition for top engineers is intense.
That’s where we come in.
At Ideaware, we help startups and growing tech companies in the U.S. build top-performing AI/Machine Learning teams, fast. Our engineers are based in Colombia and Latin America, fully embedded with your team, and ready to hit the ground running.
Whether you’re building your first AI-powered product or expanding your current team, we’ve got your back.
Top AI & Machine Learning Roles in 2025 (to keep on your radar)
Here’s a quick breakdown of the roles that are in high demand—and why they matter:
-
Machine Learning Engineer
They build, train, and deploy models that make your product smarter. -
Deep Learning Engineer
Experts in neural networks and generative AI, especially valuable for vision and language tools. -
Data Scientist
They uncover insights from data and experiment with models to push innovation forward. -
AI/Machine Learning Research Engineer
Blends deep research with practical implementation—often driving major breakthroughs. -
MLOps Engineer
Helps scale and maintain your ML models in real-world production environments. -
Computer Vision Engineer
Builds features around image recognition, facial detection, and AR. -
NLP Engineer
Specialist in natural language processing—key to chatbots, LLMs, and anything text-based. -
Applied Scientist (AI/ML)
Combines business thinking with technical skills to build AI that makes a real impact. -
AI Infrastructure Engineer
Keeps your training and deployment infrastructure reliable and efficient.
Why look to Colombia & Latin America for AI talent?
Because it just makes sense.
- Engineers are world-class and well-trained
- Teams are fully aligned in terms of time zones, work ethic, and communication
- English fluency and cultural fit are strong
- Costs are up to 50% lower than hiring in the U.S
- Real-time collaboration is easy
Why work with Ideaware?
- We’ve been helping companies build remote engineering teams since 2010. Here’s what we offer:
- A hand-picked pipeline of AI/Machine Learning talent
- Fast hiring cycles—usually within 2 to 4 weeks
- Full-time, embedded engineers (not freelancers)
- We handle HR, payroll, and compliance
- Teams that grow with you, from 2 to 20+ engineers
Need help hiring AI talent in 2025?
Let’s make it easy. Skip the struggle of hiring in a saturated market. Let’s talk about how you can build your dream AI / Machine Learning team without the stress. Just fill out this form and we’ll get back to you soon.
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