Anvi Innovate On-demand, trained AI/ML talent — ready for immediate deployment.
Applied-AI, GenAI and ML-trained fresh graduates, ready for your team. Tell us your requirement and we deploy in days, not months.
Immediate deployment
Pre-trained, screened talent onboarded to your team in days.
Applied AI & GenAI
Skilled in RAG, RLHF, fine-tuning, annotation and prompt engineering.
Fresh, motivated talent
Fresh graduates and career-switchers, screened for aptitude and rigor.
Flexible engagement
Contract staffing, contract-to-hire, and hire-train-deploy.
Hire in three steps
Tell us your need
Skills, number of resources, and timeline — one short form.
We match ready talent
Trained, screened talent matched to your requirement.
Deploy in days
Embed resources in your team and scale up or down.
Trained on the job, not just theory
Our talent upskills through our Applied-AI training program — role-based tracks built from 200+ evidenced, real-world use cases, with task-level playbooks and hands-on labs. So they arrive ready to do the work, not just talk about it.
Role tracks our talent trains across
Software Engineering
Backend & full-stack, agentic workflows, shipping production LLM features — with verification as the core discipline.
Data Engineering
Pipelines and the RAG data layer: chunking, embeddings, hybrid search, reranking and vector-database operations.
Data Science & ML/AI
Classical ML to GenAI: RAG design, fine-tuning (LoRA→DPO), agents, and deep evals.
DevOps / SRE / Platform
Ops with AI plus the platform-for-AI stack: LLM serving, inference gateways and agent guardrails.
Security & AI Security
AI in the SOC, prompt-injection defense, RAG poisoning, agent permission scoping and AI governance.
Cloud & Solutions Architecture
Managed-vs-custom RAG, agentic workloads, AI cost architecture across Bedrock, Azure AI and Vertex.
Frontend & Mobile
Streaming chat UIs, generative UI, Figma-to-code and on-device AI.
QA / AI Evaluation
Testing non-deterministic AI features, agent trajectories and LLM-as-judge in CI.
Product & Analysis
Eval sets, failure modes, AI-feature metrics and requirements written around agents.
Skills & tech stack
Our training and the Applied AI Professional credential are built from evidenced use cases across official sources, real job postings and named-company AI mandates — so skills map to what employers actually need.
Avg wage premium for AI skills
PwC AI Jobs Barometer 2026
of developers now use AI at work
DORA 2025
fastest-growing US roles are AI roles
LinkedIn Jobs on the Rise 2026
India AI/ML hiring growth YoY
Naukri JobSpeak, Jun 2026
Engagement models
Hire-train-deploy
We source, train and deploy AI/ML talent at volume for your programmes.
Contract staffing
Embedded resources billed as a fixed monthly cost per resource.
Contract-to-hire
Start on contract, convert to your payroll when it's working.
The skilled human layer behind AI
The global AI training dataset market is expected to reach USD 8.60 billion by 2030, growing at a 21.9% CAGR (2025–2030). The bottleneck isn't compute — it's skilled, reliable people. That's what we train and deploy.
Source: Grand View Research.
Talent on demand, when you need it.
Tell us your requirement — we'll reply within one business day.