Posted:9 hours ago|
Platform:
Hybrid
Full Time
Strong experience in developing and optimizing large-scale, complex AI/ML applications Expertise in advanced AI/ML concepts like natural language processing, computer vision, etc. Experience in performance optimization and scalability of AI/ML applications Familiarity with serverless architecture and cloud-based development Experience in leading teams of AI/ML developers and providing technical guidance.
Key Responsibilities ? Solution Architecture & Development o Lead the end-to-end development of GenAI solutions, from ideation to production deployment. o Architect and implement scalable GenAI applications using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or equivalent. o Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware conversational AI. ? Technical Leadership o Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical excellence. o Define coding standards, best practices, and DevOps/MLOps pipelines for model training, fine-tuning, and deployment. o Collaborate with data scientists to optimize models for performance, cost, and accuracy. ? Stakeholder Collaboration o Partner with product managers, business leaders, and domain experts to identify high-value GenAI use cases. o Present technical roadmaps, proof-of-concepts, and solution demos to senior leadership and clients. ? Governance & Security o Implement robust data governance, privacy, and compliance controls (e.g., PII masking, GDPR) for AI-driven applications. o Ensure adherence to ethical AI principles and responsible use of Generative AI technologies. Required Skills & Experience ? Technical Expertise o 10+ years of overall IT/Software development experience, with at least 3+ years focused on Generative AI, LLMs, or advanced AI/ML. o Proficiency in Python, Node.js, or equivalent languages for AI solution development. o Hands-on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models, and RAG pipelines. o Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerized deployments (Docker, Kubernetes). o Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration. ? Leadership & Delivery o Proven track record of leading cross-functional development teams to deliver enterprise-scale AI products. o Experience with Agile/Scrum methodologies and project management tools (Jira, Azure DevOps). ? Domain Knowledge o Exposure to industries like retail, finance, healthcare, or QSR (preferred). o Understanding of data governance, security, and compliance in AI/ML applications. Preferred Qualifications ? Experience integrating GenAI with Power Platform (Power Automate, Copilot Studio) or enterprise SaaS ecosystems. ? Knowledge of MLOps and AI model monitoring frameworks. ? Certifications in AI/ML, Azure AI Engineer, or OpenAI/LangChain (a plus). ? Contributions to open-source AI projects or AI research publications. Key Attributes ? Strategic thinker with strong problem-solving and analytical skills. ? Excellent communication skills to engage both technical and non-technical stakeholders. ? Passion for emerging AI trends and the ability to rapidly learn new technologies.
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