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Associate – AI/ML

Actively Reviewing the Applications

DRC Systems

India, Gandhinagar, Gujarat Full-Time On-site
Posted 2 days ago Apply by June 8, 2026

Job Description

Associate – AI/ML

Experience – 2 yrs+

Location : GIFT CITY, Gandhinagar

Qualification : Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field.

Shift :

10:00 AM to 06:30 PM

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.

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