Hire a Pre-Vetted AI/ML Engineer for Your Team

Simera connects US and Canadian companies with deeply vetted AI/ML Engineers skilled in machine learning, deep learning, MLOps, LLM fine-tuning, and data engineering from talent pools across LATAM, Southeast Asia, the Middle East, and Eastern Europe.

🚀Book a Free Discovery Call and Meet Your Next AI/ML Engineer

At a Glance

Simera is an AI-powered global talent platform providing vetted professionals for US and Canadian companies, sourcing AI/ML talent from LATAM, Southeast Asia, the Middle East, and Eastern Europe. Our AI/ML Engineers specialize in model development, MLOps, LLM integration, NLP, and data engineering, enabling companies to scale AI initiatives faster and more cost-effectively.

Key Takeaways

• AI/ML talent skilled in LLMs, Python, model deployment, and MLOps
  
• Cost-efficient engineers with US time zone overlap
  
• Vetted for technical depth, communication, and real-world project experience
  

Why Hire Remotely / Value Section

AI/ML engineering is a globally distributed skillset. Regions like LATAM, Southeast Asia, and Eastern Europe offer outstanding engineers with strong English, deep ML knowledge, and hands-on experience in production-level AI systems.

Simera uses AI-driven assessments to evaluate candidates in model optimization, LLM integration, embeddings, data preprocessing, vector stores, and cloud architectures for scalable ML deployment.
Most candidates have experience with TensorFlow, PyTorch, LangChain, SQL/NoSQL data pipelines, and MLOps frameworks like MLflow, Airflow, and Kubernetes.

For US/Canada teams, hiring remotely reduces costs by 40–60%, increases hiring speed, and delivers world-class engineering capability without geographic constraints.

What You’ll Get (Features → Benefits Table)

Candidate Profiles + Salary Benchmarks

Example Candidate Profiles

1. AI/ML Engineer (Full-Stack AI)

• 5+ years ML experience
  
• Python, TensorFlow, PyTorch
  
• MLOps: Docker, K8s, MLflow
  
• Experience fine-tuning and deploying LLMs
  

2. ML Engineer + Data Engineer Hybrid

• 4+ years experience
  
• Builds ETL pipelines, feature stores, and model APIs
  
• SQL/NoSQL, Airflow, Spark
  
• Strong cloud experience (AWS/GCP/Azure)
  

Salary Comparison Table

Proof & Testimonials

Case Study:
A US fintech hired 2 AI/ML Engineers via Simera to build fraud detection models and optimize pipelines. Deployment time dropped by 35% and model accuracy improved by 21%.

Testimonial:
“Simera’s AI/ML Engineers delivered scalable ML pipelines and LLM-powered automation in half the time we expected.” — CTO, US Fintech

How It Works (Process)

1. Discovery Call Define ML stack, cloud environment, and scope.
   
2. AI Matching Receive vetted profiles in 72 hours.
   
3. Technical Interviews Evaluate code samples + model assessments.
   
4. Onboarding Access, repos, data sources, and project briefings.
   
5. Performance Support Simera success team monitors integration.
   

Pricing & Timeline

• Matching Time: 48–72 hours
  
• Monthly Cost: $3,500–$8,500 depending on region & seniority
  
• Savings: 40–60% vs US engineers
  
• Time-to-Productivity: 1–2 weeks

💼Hire Pre-Vetted AI/ML Engineers from Our Global Talent Pool

FAQ Section

What technical stacks do Simera AI/ML Engineers use?
Python, PyTorch, TensorFlow, LangChain, SQL, MLflow, Airflow, Docker, Kubernetes.

Can they work on LLM/GenAI projects?
Yes. Many have experience fine-tuning LLMs, building RAG systems, and prompt engineering.

Do they speak fluent English?
Yes. English proficiency is evaluated in the vetting process.

Can they work US hours?
Yes. Many engineers offer partial or full US time zone overlap.

What if the hire isn’t a fit?
Simera provides replacements and ongoing success support.

Blogs recommended for further reading

https://www.datateams.ai/blog/the-ultimate-guide-to-hiring-top-ai-engineers-in-2025

https://www.hirewithnear.com/blog/benefits-of-hiring-a-machine-learning-engineer

https://www.remoteoffice.io/blogs/step-by-step-guide-to-hire-offshore-ai-machine-learning-engineers