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8.0 - 13.0 years
5 - 15 Lacs
hyderabad, chennai, bengaluru
Hybrid
Key Responsibilities 1. To leverage design expertise to ensure that software and products exhibit user-friendliness, intuitiveness, and alignment with user expectations, contributing to the creation of seamless user experiences. 2. To lead a team of designers, provide guidance, and ensuring the delivery of high-quality design solutions in alignment with the overall business goals. 3. To present design concepts and play a crucial role in shaping the overall design vision and strategy. 4. To stay abreast of industry trends, emerging technologies to drive innovation and excellence in design. Must have Skill: scalable Generative AI solutions using platforms like OpenAI, Azure OpenAI, or similar. data scientists, ML engineers, product managers, and business stakeholders Lead the development and deployment of LLM-based applications 8+ years of experience in AI/ML, with at least 2+ years focused on Generative AI or LLMs. Deep understanding of NLP, transformers, and prompt engineering techniques.
Posted Date not available
5.0 - 10.0 years
15 - 20 Lacs
mohali
Work from Office
Job Overview: We are looking for a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging LLMs, reinforcement learning, and multi-agent systems. You will work on cutting-edge AI frameworks like LangChain, AutoGen, CrewAI, and MLOps pipelines for scalable deployment. Key Responsibilities: AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Required Skills & Qualifications: Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills. Preferred Qualifications: Masters. in Computer Science, AI, or Data Science. Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer). Experience with autonomous systems, robotics, or digital twins. 5-7 years of similar or equivalent experience. Why Join Us Work on the cutting edge of AI & autonomous agents. Be part of a team driving AI innovation for real-world impact.
Posted Date not available
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