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.