Job Description

#

Qualification

Bachelor's or Master's in Computer Science, AI, Data Science, or a related field.

#

Requirements

DRC Systems is a forward-thinking technology company building next-generation

digital and AI-powered solutions

. We combine innovation, engineering excellence, and domain expertise to empower businesses with

intelligent automation

and

data-driven insights.

We're looking for a passionate

AI/ML Engineer

to help shape the future of

Generative AI, Agentic Systems, and Predictive Analytics

.

#

Responsibilities

Design and deploy

AI agents and multi-agent systems

using frameworks like

LangChain, LlamaIndex, CrewAI, or AutoGen.

Fine-tune

LLMs (OpenAI, Llama, Mistral, Gemini)

using

LoRA/PEFT

for domain-specific applications. Build

RAG pipelines

integrating proprietary data for context-aware responses. Develop predictive models for

classification, regression, clustering,

and

forecasting

. Manage

end-to-end ML lifecycle

-- from feature engineering and validation to deployment and monitoring. Implement

MLOps workflows

using

MLflow, Kubeflow

, and deploy via

Docker & Kubernetes

on

AWS/GCP/Azure

. Collaborate with cross-functional teams to deliver

production-grade AI solutions

. Stay current with emerging research in

LLMs, Agentic AI

, and new frameworks. Hands-on with

Python, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Hugging Face Transformers

. Experience with

RAG, vector databases (FAISS, Pinecone, ChromaDB)

, and

agent frameworks

. Strong understanding of

transformers, attention mechanisms

, and

fine-tuning techniques

. Familiar with

CI/CD, MLOps, containerization (Docker/K8s)

, and

cloud platforms (AWS/GCP/Azure)

. * Excellent analytical and problem-solving skills; passionate about

AI innovation

and continuous learning.