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4 - 7 Years Primary Focus AI/ML Model Development, Fine-tuning, Agentic AI, and Generative AI. Technical Requirements Strong proficiency in Python and production-ready, scalable coding practices. Hands-on experience in AI/ML model development, fine-tuning, and deployment. Strong understanding of Machine Learning, Deep Learning, Natural Language. Primary Focus AI/ML Model Development, Fine-tuning, Agentic AI, and Generative AI. Technical Requirements Strong proficiency in Python and production-ready, scalable coding practices. Hands-on experience in AI/ML model development, fine-tuning, and deployment . Strong understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI . Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, and LangChain/LlamaIndex . Experience with RAG, embeddings, vector databases, and semantic search . Experience with OpenAI, Claude, Gemini, Llama, prompt engineering, AI agents, multi-agent workflows, and tool/function calling . Experience with Docker, FastAPI, Kubernetes, MLflow, and AWS, Azure, or GCP . Hands-on experience with SQL, PostgreSQL, MongoDB, and Pinecone, Weaviate, ChromaDB, or Milvus . Preferred Skills Experience with Voice AI (Whisper, Deepgram, TTS/STT) and multimodal AI . Knowledge of LoRA, PEFT, quantization, MCP, AI orchestration frameworks, and GPU/inference optimization . Project Management Soft Skills Experience using Jira for story creation, sprint planning, estimation, bug tracking, and Agile project management. Strong participation in Agile/Scrum with the ability to independently own, track, and deliver tasks on time. Strong English communication skills, client collaboration, and end-to-end project ownership. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .