Lead AIML engineer (Bangalore Urban)

ArchLynk stands at the vanguard of SAP Digital Supply Chain, Logistics, Business Planning, and Global Trade solutions, empowering businesses to build resilient, adaptive, and efficient supply chain ecosystems. As a trusted SAP Gold Partner, we have a proven track record of delivering best-in-class solutions and services, ensuring long-term success in an ever-evolving digital landscape. Headquartered in San Jose, California, we specialize in strategic planning, process optimization, and SAP solution deployment across the globe. Leveraging AI/ML-driven tools, seamless integrations, and custom developments, we help businesses navigate the complexities of global supply chain execution with cutting-edge innovation and expertise. Lead AI/ML Engineer ArchLynk stands at the vanguard of SAP Digital Supply Chain, Logistics, Business Planning, and Global Trade solutions, empowering businesses to build resilient, adaptive, and efficient supply chain ecosystems. As a trusted SAP Gold Partner, we have a proven track record of delivering best-in-class solutions and services, ensuring long-term success in an ever-evolving digital landscape. Headquartered in San Jose, California, we specialize in strategic planning, process optimization, and SAP solution deployment across the globe. Leveraging AI/ML-driven tools, seamless integrations, and custom developments, we help businesses navigate the complexities of global supply chain execution with cutting-edge innovation and expertise. What will your day look like - Lead the design, development, and deployment of enterprise-grade AI and Machine Learning solutions. - Build and optimize predictive, classification, recommendation, and forecasting models to solve complex business challenges. - Design and implement Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. - Develop scalable AI applications using Python and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Collaborate with cross-functional teams including Product, Engineering and Business stakeholders to define AI roadmaps and solution strategies. - Lead architecture discussions and establish best practices for AI/ML development, deployment, monitoring, and governance. - Implement MLOps processes including model versioning, CI/CD pipelines, model monitoring, and lifecycle management. - Develop AI-powered assistants, copilots, chatbots, and knowledge management solutions using modern AI frameworks. - Work with vector databases and knowledge retrieval frameworks to create scalable and accurate GenAI solutions. - Evaluate emerging AI technologies, models, and platforms to drive innovation and business value. - Provide technical mentorship and leadership to AI/ML engineers. - Ensure solutions meet security, compliance, Responsible AI, and performance standards. Skills And Attributes For Success - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 7+ years of experience in Software Engineering, or Machine Learning Engineering. - 3-5 years of hands-on experience in modern AI/ML technologies and production-grade implementations. - Strong programming expertise in Python and experience with AI/ML libraries and frameworks. - Hands-on experience with TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar frameworks. - Experience working with Generative AI technologies, Large Language Models (LLMs), and foundation models. - Strong knowledge of Prompt Engineering, RAG architectures, AI Agents, and Conversational AI solutions. - Experience working with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks. - Knowledge of vector databases such as Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search. - Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. - Strong understanding of MLOps, model deployment, monitoring, and governance practices. - Experience with Docker, Kubernetes, APIs, and microservices architecture. - Excellent stakeholder management, communication, and leadership skills. Nice To Have - Experience with Azure OpenAI, OpenAI APIs, Anthropic Claude, Gemini, or open-source LLMs. - Experience building AI solutions within Supply Chain, Logistics, Procurement, or ERP environments. - Knowledge of Responsible AI, AI Governance, and AI Security best practices. - Exposure to Multi-Agent AI architectures and autonomous workflow orchestration. - Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI. - Experience working within consulting or global enterprise environments. Why Join Our Team Working at ArchLynk means joining a team fueled by collaboration, innovation, and teamwork. Our success is built on the talent, dedication, and passion of the people who drive our mission forward. What We Offer - Challenging projects with global organizations working on innovative technologies. ArchL