AI/ML Architect

You are a highly experienced AI/ML Architect sought by Repro to design, scale, and govern enterprise-grade machine learning solutions. Your role involves solution design, system architecture, and end-to-end ML lifecycle ownership, along with mentoring senior data scientists and engineers. You will bridge data science and engineering to deliver scalable, production-ready AI systems. Key Responsibilities: - Architect end-to-end machine learning systems, covering data ingestion to model deployment and monitoring - Design and review scalable, high-performance ML architectures for large-scale production environments - Define and implement best practices for the ML lifecycle, including training, validation, deployment, versioning, and monitoring - Lead architecture decisions for model scaling, performance optimization, and reliability - Collaborate closely with data engineers and platform teams for seamless integration - Establish standards for reusability, modularity, and maintainability of AI/ML components - Guide the adoption of feature stores, model registries, and data lakes - Mentor senior data scientists and ML engineers on solution design, architecture patterns, and production readiness - Review technical designs, conduct architecture walkthroughs, and provide technical governance Qualification Required: - Bachelors/Masters/PhD in Data Science, Machine Learning, Artificial Intelligence, Engineering, or related fields Additional Details: Repro is a forward-thinking company focusing on cutting-edge AI and ML technologies. Your technical expertise should include: - Strong proficiency in Python - Hands-on experience with TensorFlow and/or PyTorch - Deep understanding of deep learning architectures and model optimization - Experience with distributed data processing using Spark - Strong knowledge of MLOps practices - Experience with model registries, feature stores, and experiment tracking tools - Exposure to data lakes and large-scale data platforms - Hands-on experience with cloud AI platforms such as AWS Bedrock & SageMaker, Azure Machine Learning, Google Cloud AI / Vertex AI Desired Profile: - 8 to 12 years of overall experience in AI/ML, with significant exposure to architecture and solution design - Proven experience designing and deploying production-scale ML systems - Strong mentoring and technical leadership skills - Ability to translate business problems into robust AI architectures - Comes from a product company and made significant contributions in automating processes using AI - Spends 60-70% of time in coding in the Individual capacity. You are a highly experienced AI/ML Architect sought by Repro to design, scale, and govern enterprise-grade machine learning solutions. Your role involves solution design, system architecture, and end-to-end ML lifecycle ownership, along with mentoring senior data scientists and engineers. You will bridge data science and engineering to deliver scalable, production-ready AI systems. Key Responsibilities: - Architect end-to-end machine learning systems, covering data ingestion to model deployment and monitoring - Design and review scalable, high-performance ML architectures for large-scale production environments - Define and implement best practices for the ML lifecycle, including training, validation, deployment, versioning, and monitoring - Lead architecture decisions for model scaling, performance optimization, and reliability - Collaborate closely with data engineers and platform teams for seamless integration - Establish standards for reusability, modularity, and maintainability of AI/ML components - Guide the adoption of feature stores, model registries, and data lakes - Mentor senior data scientists and ML engineers on solution design, architecture patterns, and production readiness - Review technical designs, conduct architecture walkthroughs, and provide technical governance Qualification Required: - Bachelors/Masters/PhD in Data Science, Machine Learning, Artificial Intelligence, Engineering, or related fields Additional Details: Repro is a forward-thinking company focusing on cutting-edge AI and ML technologies. Your technical expertise should include: - Strong proficiency in Python - Hands-on experience with TensorFlow and/or PyTorch - Deep understanding of deep learning architectures and model optimization - Experience with distributed data processing using Spark - Strong knowledge of MLOps practices - Experience with model registries, feature stores, and experiment tracking tools - Exposure to data lakes and large-scale data platforms - Hands-on experience with cloud AI platforms such as AWS Bedrock & SageMaker, Azure Machine Learning, Google Cloud AI / Vertex AI Desired Profile: - 8 to 12 years of overall experience in AI/ML, with significant exposure to architecture and solution design - Proven experience designing and deploying production-scale ML systems - Strong mentoring and technical leadership skills - Abili