Hire AI Engineers
Hire senior AI engineers who build production-ready AI systems with TensorFlow, PyTorch, and modern AI frameworks. They seamlessly integrate with your team or work in managed Pods—developing models, deploying at scale, and shipping AI solutions that drive results.
Hire Experts, Who Ship, Not Just Code
Get dedicated AI engineers with proven expertise in building modern, scalable AI systems
Hire skilled AI engineers from Zeksta to build powerful AI and machine learning solutions. Our AI engineers are experts in TensorFlow, PyTorch, Hugging Face, NLP, computer vision, LLMs, and the entire AI ecosystem. They follow best practices, write clean code, and deliver high-performance AI systems that meet your business objectives. Whether you need ML engineers, deep learning specialists, NLP engineers, or computer vision experts, we have the right talent for your project.
Who you can hire from Zeksta
AI Experts
ML Specialists
Deep Learning Engineers
NLP Specialists
Computer Vision Engineers
AI Consultants
Why hire AI engineers from Zeksta
Pre-Vetted Specialists
Only 2% of applicants pass our rigorous screening process. We conduct live coding sessions, ML system design challenges, model evaluation exercises, and communication assessments to ensure you get only the best AI engineers.
Modern AI Expertise
Not just AI basics. Our engineers are experts in machine learning, deep learning, NLP, computer vision, LLMs, and modern AI frameworks. They stay ahead of the curve with the latest AI innovations and research.
Fast Onboarding
Start interviewing candidates within days, not weeks. Our pre-vetted talent pool means you skip months of recruitment hassles and get productive AI engineers on your team faster.
Risk-Free Trial
Every hire comes with a 2-week trial period. If it's not working out, we replace the engineer at no extra cost. Your satisfaction is our guarantee—we're committed to finding the perfect fit for your team.
AI-Native Engineers
Our engineers use AI tools daily (Cursor, GitHub Copilot, ChatGPT) to accelerate development. They understand AI capabilities and limitations, and know how to leverage AI effectively in their work.
Outcome-Oriented
Not just researchers—engineers who build production-ready AI systems, deploy models at scale, optimize performance, and genuinely care about delivering AI solutions that drive business results.
Our AI Tech Stack
Our AI engineers are proficient in the latest AI/ML tools, frameworks, and best practices to deliver exceptional AI solutions.
Machine Learning
- •Supervised & Unsupervised Learning
- •Deep Learning (CNN, RNN, Transformers)
- •Natural Language Processing
- •Computer Vision
- •Reinforcement Learning
Generative AI & LLMs
- •OpenAI GPT / ChatGPT APIs
- •LangChain & LlamaIndex
- •Prompt Engineering
- •RAG (Retrieval Augmented Generation)
- •Fine-tuning & PEFT
Cloud AI Platforms
- •AWS SageMaker
- •Google Vertex AI
- •Azure ML
- •OpenAI / Azure OpenAI Service
- •Hugging Face Inference Endpoints
Data & Tools
- •Pandas & NumPy
- •Data Preprocessing
- •Feature Engineering
- •Model Evaluation
- •Jupyter Notebooks
MLOps & Deployment
- •MLflow
- •Kubernetes
- •Model Serving
- •Monitoring & A/B Testing
- •CI/CD for ML
Programming & Tools
- •Python
- •TensorFlow & PyTorch
- •SQL
- •Docker & Containers
- •Hugging Face
How to Hire AI Engineers
Hire AI Engineers in Weeks, Not Months. Our streamlined hiring process gets pre-vetted AI engineers on your team fast. Skip the lengthy recruitment cycles.
Share Your Requirements
Tell us about your AI project, domain (NLP, CV, etc.), model requirements, deployment needs, and the experience level you need. We'll help you define the right AI engineer profile.
Get Matched Profiles
We present 2-3 pre-vetted AI engineers who match your requirements. Review their experience, portfolio projects, research papers, and our assessment notes.
Interview & Select
Interview candidates directly with technical questions relevant to your AI stack and domain. We can facilitate or let you run it entirely. You decide.
Risk-Free Trial
Start with a 2-week trial. The engineer joins your team, attends standups, and delivers real work. If not a fit, we replace at no cost.
Scale as Needed
Add more AI engineers or transition to a full AI team with data scientists, ML engineers, and MLOps specialists. We scale with your needs.
Working with Zeksta
| Zeksta | Hiring In-house | Virtual Platform | |
|---|---|---|---|
| Time to build a Team | 0-2 weeks | 3-6 months | 2-6 months |
| Cost of Recruiting | None | Very High | None |
| Guarantee of Success | |||
| Pre-Screened Talent | |||
| Termination Cost | None | Very high | None |
| Overall Cost Effectiveness | Very High | Low | Medium |
Time to build a Team
Cost of Recruiting
Guarantee of Success
Pre-Screened Talent
Termination Cost
Overall Cost Effectiveness
Ready to Hire AI Engineers?
Tell us about your AI project and requirements. We'll present pre-vetted candidates within days, and you can start with a risk-free trial.
Frequently AskedQuestions
We are trying to resolve your doubts before commencing with us. If you are still left with doubts, feel free to contact us.
Our AI engineers have extensive experience working with machine learning, deep learning, NLP, computer vision, LLMs, and modern AI frameworks like TensorFlow, PyTorch, and Hugging Face. They have worked on projects ranging from proof-of-concepts to production AI systems. You can review their portfolios and conduct interviews to ensure they meet your specific requirements.
Yes! We have AI engineers who specialize in research, model development, production deployment, MLOps, and end-to-end AI system development. Our engineers are experienced in various AI domains and can work on diverse project types from research to production.
Our AI engineers are proficient in Python, TensorFlow, PyTorch, Hugging Face, scikit-learn, pandas, NumPy, Jupyter, MLflow, Kubernetes, AWS SageMaker, Google Cloud AI Platform, and modern AI tools. They also work with data processing, model training, evaluation, deployment, and monitoring systems.
We maintain high code quality through code reviews, best practices compliance, comprehensive testing, model evaluation, and following AI/ML best practices. Our engineers write clean, maintainable, and well-documented code optimized for performance and scalability.
Absolutely! You can start with one or two AI engineers and scale up as your project grows. We can quickly onboard additional AI engineers to your team, ensuring seamless collaboration and maintaining project momentum.
We offer flexible engagement models including full-time dedicated AI engineers, part-time engineers, or project-based contracts. You can choose the model that best fits your project timeline and budget requirements.
Yes, we can align our AI engineers' working hours with your time zone to ensure seamless communication and collaboration. We have engineers across different time zones to provide round-the-clock coverage if needed.
Still have questions?
Contact Us