Source description
About the role
Job Overview : We are seeking a visionary AI/ML Leader to drive the strategy, architecture, and deployment of next-generation artificial intelligence and machine learning solutions. You will bridge the gap between complex engineering, data science, and core business goals.Key Responsibilities : Architect & Strategy : - Design scalable AI infra to support LLMs, deep learning, and computer vision systems.- Define technical roadmap for enterprise-wide machine learning platforms and data pipelines.- Align AI initiatives directly with business revenue goals and product strategies.Engineering & Execution : - Lead MLOps implementation ensuring seamless CI/CD automation for ML models.- Optimize model performance for low latency, high throughput, and cost-efficiency.- Establish data governance protocols to ensure privacy, security, and ethical AI standards.Leadership & Mentorship : - Guide engineering teams across Mumbai, Delhi, and Bengaluru offices.- Mentor senior data scientists and machine learning engineers on best coding practices.- Collaborate with executives to communicate technical complexity in simple business terms.Required Skills & Experience : Technical Expertise : - 10+ years in software engineering, with 6+ years strictly dedicated to AI/ML production systems.- Deep framework knowledge in PyTorch, TensorFlow, JAX, and Hugging Face.- Generative AI mastery including fine-tuning LLMs, RAG frameworks, and prompt engineering.- Cloud platform expertise using AWS (SageMaker), Azure (Azure ML), or GCP (Vertex AI).- Production MLOps proficiency with tools like Kubeflow, MLflow, or Airflow.Core Leadership Skills : - Strong cross-functional communication skills to manage stakeholders across multiple geographic hubs.- Proven track record of taking at least 5 major ML projects from research concept to multi-million user production. (ref:hirist.tech) Job Overview : We are seeking a visionary AI/ML Leader to drive the strategy, architecture, and deployment of next-generation artificial intelligence and machine learning solutions. You will bridge the gap between complex engineering, data science, and core business goals.Key Responsibilities : Architect & Strategy : - Design scalable AI infra to support LLMs, deep learning, and computer vision systems.- Define technical roadmap for enterprise-wide machine learning platforms and data pipelines.- Align AI initiatives directly with business revenue goals and product strategies.Engineering & Execution : - Lead MLOps implementation ensuring seamless CI/CD automation for ML models.- Optimize model performance for low latency, high throughput, and cost-efficiency.- Establish data governance protocols to ensure privacy, security, and ethical AI standards.Leadership & Mentorship : - Guide engineering teams across Mumbai, Delhi, and Bengaluru offices.- Mentor senior data scientists and machine learning engineers on best coding practices.- Collaborate with executives to communicate technical complexity in simple business terms.Required Skills & Experience : Technical Expertise : - 10+ years in software engineering, with 6+ years strictly dedicated to AI/ML production systems.- Deep framework knowledge in PyTorch, TensorFlow, JAX, and Hugging Face.- Generative AI mastery including fine-tuning LLMs, RAG frameworks, and prompt engineering.- Cloud platform expertise using AWS (SageMaker), Azure (Azure ML), or GCP (Vertex AI).- Production MLOps proficiency with tools like Kubeflow, MLflow, or Airflow.Core Leadership Skills : - Strong cross-functional communication skills to manage stakeholders across multiple geographic hubs.- Proven track record of taking at least 5 major ML projects from research concept to multi-million user production. (ref:hirist.tech)