Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements: 2-6 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus.
Network Management: Configure and maintain network infrastructure, including switches, firewalls, AD server and Access Points Monitor network performance and troubleshoot connectivity issues LAN and WAN. Implement and maintain virtual private networks (VPNs). Security Management: Implement security measures, such as firewalls, intrusion detection systems, and antivirus software. Conduct security audits and vulnerability assessments. Respond to security incidents and breaches. Data Backup and Recovery: Develop and implement data backup and disaster recovery plans. Regularly backup critical data and test recovery procedures. Email and Communication Systems: Manage email servers and services. Configure and troubleshoot email clients. Implement spam filtering and email security measures. Hardware Inventory and Procurement: Maintain an inventory of hardware assets. Procure new hardware and software as needed, considering budget constraints and technology requirements. Documentation: Maintain documentation of system configurations, procedures, and troubleshooting steps. Keep records of hardware and software licenses. Compliance and Policy Enforcement: Ensure IT systems comply with industry regulations and internal policies. Technical Support Respond to and resolve IT-related issues for call center staff. Provide first-level support for desktops, headsets, VoIP phones, and CRM systems. Escalate complex issues to senior IT staff. System Maintenance: Monitor and maintain computer systems and networks. Perform routine updates, patches, and backups. Ensure antivirus and security protocols are up to date. Installation & Configuration: Set up new workstations and configure hardware/software. Assist with onboarding of new employees by preparing IT equipment.
FIND ON MAP