Hire Trained AI & ML Engineers

AI / ML Engineering

The AI revolution is here. We train and deploy AI/ML engineers who can build production-grade intelligent systems — from RAG-based chatbots to fine-tuned language models — tailored to your product and data infrastructure.

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30 Days

Avg. deployment time

LangChain / TF

Primary frameworks

6–8 Weeks

Intensive training

LLM Ready

Specialization focus

For Companies

AI engineers who build real products, not just prototypes

We train AI/ML engineers who understand the full production pipeline — from data preparation and model training to deployment, monitoring, and feedback loops. Researchers who can also ship.

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What we deliver to you

LangChain / LlamaIndex RAG pipeline developers for AI products

Fine-tuning specialists for open-source LLMs (LLaMA, Mistral, Gemma)

Computer Vision engineers for image classification and object detection

NLP engineers for text classification, summarization, and sentiment analysis

ML engineers for scikit-learn, XGBoost, and traditional ML pipelines

AI product integration specialists (OpenAI API, Gemini, Claude)

For Candidates

Build AI that matters. Lead the future.

AI/ML is the highest-growth career track in tech today. If you have Python programming skills and a strong mathematical foundation, our training program will take you from model basics to building real AI products in 6–8 weeks.

You will learn

PythonNumPy / PandasScikit-learnTensorFlow / PyTorchLangChainRAG PipelinesOpenAI APIHuggingFaceVector DBsPrompt EngineeringFine-tuningMLOps basics

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Eligibility

B.Tech CS / Mathematics / Statistics / Data Science graduates

Proficiency in Python programming (mandatory)

Basic linear algebra and probability knowledge helpful

Passion for AI/ML research and application building

FAQ

Common questions

Can you train engineers specifically for Generative AI products?

Yes. Our GenAI track covers prompt engineering, RAG system design, LLM fine-tuning, and building production chatbots and AI assistants using LangChain, LlamaIndex, and modern vector databases.

Do you handle computer vision projects?

Yes. For clients needing computer vision talent, we train on OpenCV, YOLO, and CNN-based image models. Training includes both model development and deployment using ONNX or TensorFlow Serving.

How do you keep AI training content up to date given how fast the field moves?

Our AI curriculum is reviewed and updated monthly. We track the latest model releases, framework updates, and production best practices to ensure candidates are trained on current tools.

Can you supply AI engineers for research-oriented startups?

Yes. We can source candidates with strong mathematical backgrounds and research exposure from top Bihar engineering colleges for research-heavy AI roles.

Ready to get started?

Connect with us directly on WhatsApp — no forms, no waiting. Instant conversation.

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