Job Opening for AI/ML engineer (Job Code RT 1525)

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• Develop and implement AI/ML models and pipelines.
• Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA), CNNs, RNNs, and Attention-based LSTMs.
• Fine-tune and optimize Large Language Models (LLMs) for production.
• Design AI-driven solutions using agent workflows, MCPs (Model Context Protocols), and AI agentic frameworks (LangFlow, Langchain, N8N, etc.).
• Leverage NLP techniques such as text summarization, NER, semantic search, and multilingual translation.
• Implement ML pipelines and deploy solutions on AWS/GCP/Azure.
• Collaborate with cross-functional teams to integrate AI into enterprise applications.
• Stay updated with the latest AI advancements and apply them to improve model accuracy, scalability, and efficiency.
  

Required Skills & Qualifications

• Hands-on experience in AI/ML, Deep Learning, and Generative AI.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
• Hands-on experience with RNNs, Attention LSTMs, and Transformers (BERT, GPT, T5, LLaMA).
• Experience with AI agent workflows, MCP-based integrations, and orchestration tools.
• Proficiency in working with agentic frameworks like LangFlow, N8N, Haystack, or equivalent.
• Knowledge of vector databases, retrieval-augmented generation (RAG), and MLOps.
• Strong expertise in model deployment with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Excellent problem-solving skills, collaborative mindset, and ability to work in fast-paced agile environments.