For Startups
The Situation
You know AI could transform your product. Maybe it's a recommendation engine, a predictive model, or automating something that currently takes your team hours. The potential is obvious. The problem? Hiring for it.
AI/ML engineers in the US command $200K+ salaries, and that's before equity, benefits, and the six months it takes to actually find one. You're competing with Google, Meta, and every well-funded startup for the same tiny talent pool.
Meanwhile, your competitors are shipping AI features. Your investors are asking about your AI roadmap. And your product team has a backlog of ML projects that keep getting pushed because "we don't have the expertise yet."
How SoTalented Helps
We connect you with senior AI/ML engineers who have real experience building production systems, not just Kaggle competitions. Your engineer works from a Grade A office with enterprise-grade infrastructure, dedicated to your projects and integrated into your engineering team.
They join your Slack, attend your standups, and work on your codebase. The only difference? You're not paying Bay Area rates or spending months on recruitment.
Tasks They Handle
Your AI/ML engineer brings production-ready expertise across the full machine learning lifecycle:
Model development and training - Build custom models tailored to your specific use case and data, not off-the-shelf solutions that sort of work.
Data pipeline architecture - Design robust pipelines that clean, transform, and prepare your data for training and inference at scale.
Feature engineering - Identify and create the features that actually drive model performance, often the difference between a demo and a product.
Model deployment and MLOps - Get models into production with proper monitoring, versioning, and automated retraining workflows.
Algorithm optimization - Improve accuracy, reduce latency, and lower compute costs as your usage scales.
Research and prototyping - Explore new approaches, test hypotheses, and validate ideas before committing engineering resources.
Technical documentation - Ensure your team understands what was built and can maintain it long-term.
Why SoTalented Is Different
When you compare us to other options, the value becomes clear:
Pre-vetted for skills AND cultural fit - We assess technical depth through real coding challenges and system design interviews, not just resume keywords. Plus, we ensure they'll actually mesh with your team.
Works from Grade A office, not their bedroom - Enterprise security, reliable infrastructure, and a professional environment. Important when they're handling your proprietary data and models.
One invoice, one partner - We handle payroll, compliance, equipment, and HR. You focus on building product. See our pricing page for transparent rates.
The Result
Startups who add AI/ML capability through SoTalented typically see:
Ship AI features in weeks, not quarters - Stop waiting for the perfect hire. Start building now.
70-80% cost savings vs US hiring - Get senior talent at a fraction of the cost. Use our ROI Calculator to see your specific numbers.
No recruitment overhead - Skip the six-month search. We present qualified candidates within days.
Roles Involved
Depending on your project scope, this use case may include:
AI/ML Engineer
Data Scientist
Data Engineer
MLOps Engineer
Not sure which role fits your needs? Book a demo and we'll help you figure out the right fit.
Pricing
Starting from $3,500/month for junior engineers, scaling based on experience and specialization. All-inclusive: salary, benefits, equipment, office space. No hidden fees. See what's included for the complete breakdown.
Ready to Add AI to Your Product?
Stop letting talent scarcity hold back your roadmap. Book a demo and we'll show you how to add AI/ML capability to your team without the $200K price tag.