Senior AI/ML Engineer
PythonTensorFlowPyTorchLangChainAWS SageMakerMLflow
Available NowAI & Machine Learning
Hire AI/ML Developers
Hire AI/ML engineers from Codazz — pre-vetted LLM, computer vision and MLOps specialists, matched within 48 hours. NDA from day one, timezone-aligned, production-grade model deployment.
- 30+
- AI/ML Engineers
- 8+ Yrs
- Avg Experience
- 75+
- AI Projects Shipped
- 48hrs
- Start Time
- NDA signed before requirements are shared
- Interview pre-matched developers within 24 hours
- Timezone-aligned, full-time or part-time
- Replace or scale with two weeks notice
Get your custom project plan
Share your project details — a senior engineer responds within 4 hours.
NDA protected 24hr response Free consultation
Independently audited, certified and built to standards you can check
Why Codazz
Why Hire AI/ML Developers From Us.
Vetting, timezone alignment and contracts that protect your IP — the same on every AI/ML hire.
Vetted AI/ML Experts
Every AI/ML engineer passes our 5-stage vetting: ML system design challenge, model implementation, live pair programming with real datasets, culture fit, and reference checks. Only the top 3% qualify.
Timezone-Aligned
Our AI/ML engineers work in your timezone. US, European, Middle Eastern, or APAC business hours — your engineer is online when you need them.
NDA From Day 1
AI projects involve proprietary data and algorithms. We sign enforceable NDAs before any discussion. Your data, models, and IP are fully protected.
Full-Stack AI
Our engineers handle everything from data engineering and model training to API deployment and production monitoring. No gaps in your AI pipeline.
40-60% Cost Savings
Senior AI/ML talent is expensive to hire in-house. Get the same caliber engineers at a fraction of the cost with no recruitment overhead.
LLM & GenAI Ready
Our engineers are current with GPT-4, Claude, Gemini, LangChain, RAG architectures, fine-tuning, and prompt engineering — the skills you need right now.
Available Talent
Meet Our AI/ML Developers.
LLM & GenAI Specialist
GPT-4/Claude APIsLangChainRAGFine-tuningVector DBsPrompt Engineering
Available NowComputer Vision Engineer
PyTorchOpenCVYOLODetectron2TensorRTEdge AI
Available in 1 weekMLOps & Data Engineer
KubeflowMLflowAirflowDockerKubernetesFeature Stores
Available NowEngagement Models
Flexible Hiring Models.
Full-Time Dedicated
A developer works exclusively on your project, fully embedded in your team and processes.
- Dedicated resource
- Daily standups
- Sprint planning
- Direct Slack/Teams access
Part-Time Flexible
Consistent senior support without the full-time commitment. Ideal for startups and scaling teams.
- Flexible scheduling
- Async communication
- Weekly sync calls
- Progress reports
Team Augmentation
Extend your existing engineering team with multiple developers who integrate into your workflow.
- Team lead included
- CI/CD integration
- Code review process
- Knowledge transfer
Project-Based
A dedicated team for a defined project with clear milestones, timeline, and deliverables.
- Fixed-price quote
- Milestone payments
- Project manager
- Warranty included
Tech Expertise
AI/ML Tech Stack.
ML Frameworks
TensorFlowPyTorchscikit-learnJAXHugging FaceONNXLLM & GenAI
OpenAI GPT-4Anthropic ClaudeLangChainLlamaIndexRAGFine-tuningComputer Vision
OpenCVYOLODetectron2MediaPipeTensorRTCoreMLNLP
spaCyNLTKTransformersSentence-BERTNamed Entity RecognitionSentiment AnalysisMLOps & Infra
MLflowKubeflowAWS SageMakerVertex AIDVCFeature StoresData & Vector DBs
PineconeWeaviateChromaDBMilvusPostgreSQL pgvectorRedis Vector
Hiring Process
4 Simple Steps To Your Team.
- 01
Share Requirements
Day 1Tell us about your project, tech stack, and the type of developer you need. We will match you with the best-fit candidates from our vetted talent pool.
- 02
Interview Developers
Day 1-2Interview pre-screened developers who match your requirements. Evaluate technical skills, communication, and culture fit on your own terms.
- 03
Onboard & Integrate
Day 2-3Your selected developer signs the NDA, gets access to your tools, and joins your team channels. We handle all the logistics.
- 04
Start Building
Day 3+Your developer is fully operational — writing code, attending standups, and shipping features. We provide ongoing support and performance management.
Common Questions.
Everything you need to know before hiring AI/ML developers from Codazz.
Ask our teamYou can interview pre-matched AI/ML engineers within 24 hours of sharing your requirements. Onboarding typically completes within 48 hours.
Our AI/ML engineers specialize in LLM integration (GPT, Claude, Gemini), computer vision, NLP, predictive analytics, recommendation systems, and MLOps. We cover the full AI/ML stack from research to production.
Yes. Our engineers regularly integrate AI capabilities into existing applications — adding LLM-powered features, building recommendation engines, or implementing computer vision pipelines within your current architecture.
Rates depend on seniority, the depth of AI/ML specialization you need, and whether the engagement is full-time, part-time, or team augmentation. Pricing is scoped to the specific role and engagement model once we understand your requirements, with no hidden fees, recruitment charges, or long-term lock-in.
Yes. Our AI/ML engineers handle the full lifecycle: data preparation, model training, evaluation, deployment, monitoring, and continuous improvement in production environments.
Absolutely. Many clients start with a single AI/ML engineer to build a proof of concept, then scale to a full team for production deployment. Our models are fully flexible.
Ready to Hire AI/ML Developers?
Share your requirements. We will match you with pre-vetted ai/ml developers within 24 hours.