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Associate – AI/ML
Associate – AI/MLDRC Systems • India
Associate – AI / ML

Associate – AI / ML

DRC Systems • India
4 days ago
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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