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About the role
We are seeking an experienced AIML Architect with over 8 years of experience to lead and design advanced AI and machine learning solutions. The ideal candidate will have deep expertise in architecting scalable AI/ML systems, leading technical teams, and collaborating with stakeholders to deliver innovative solutions that drive business value. This role requires a strong foundation in data science, deep learning, natural language processing (NLP), and artificial intelligence, coupled with a hands-on approach to solving complex problems across diverse industries. Key Responsibilities: - Lead the design, development, and implementation of AI/ML models and solutions for large-scale projects. - Architect end-to-end AI solutions, from data ingestion to model deployment, ensuring scalability, reliability, and performance. - Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to translate business requirements into technical solutions. - Drive innovation by researching and applying the latest AI/ML techniques such as deep learning, reinforcement learning, computer vision, and NLP. - Oversee model lifecycle management, including development, training, testing, deployment, and monitoring in production environments. - Lead technical discussions and decision-making related to AI/ML strategy, architecture, and system integration. - Mentor and guide teams in AI/ML best practices, coding standards, and emerging technologies. - Ensure compliance with data security, privacy, and ethical AI standards in all AI/ML solutions. - Work closely with product teams to integrate AI models into products and services, optimizing user experience and business outcomes. - Stay updated with industry trends, tools, and technologies in AI/ML to keep the organization at the forefront of advancements Qualifications Required Qualifications: - 8+ years of experience in AI, machine learning, and data science, with a solid background in solution architecture. - Proven track record of designing and deploying AI/ML solutions at scale in production environments. - Expertise in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). - Deep understanding of supervised, unsupervised, and reinforcement learning techniques. - Proficiency in programming languages such as Python, R, or Scala, with strong coding and algorithm development skills. - Solid experience with cloud-based AI/ML platforms (e.g., AWS Sagemaker, Azure AI, Google AI Platform). - Strong knowledge of data engineering, ETL pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). - Excellent problem-solving skills, with the ability to translate complex business problems into AI/ML solutions. - Strong communication skills, with experience presenting technical concepts to both technical and non-technical stakeholders. - Experience with DevOps and MLOps practices, including continuous integration, version control, and automated testing for AI models. We are seeking an experienced AIML Architect with over 8 years of experience to lead and design advanced AI and machine learning solutions. The ideal candidate will have deep expertise in architecting scalable AI/ML systems, leading technical teams, and collaborating with stakeholders to deliver innovative solutions that drive business value. This role requires a strong foundation in data science, deep learning, natural language processing (NLP), and artificial intelligence, coupled with a hands-on approach to solving complex problems across diverse industries. Key Responsibilities: - Lead the design, development, and implementation of AI/ML models and solutions for large-scale projects. - Architect end-to-end AI solutions, from data ingestion to model deployment, ensuring scalability, reliability, and performance. - Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to translate business requirements into technical solutions. - Drive innovation by researching and applying the latest AI/ML techniques such as deep learning, reinforcement learning, computer vision, and NLP. - Oversee model lifecycle management, including development, training, testing, deployment, and monitoring in production environments. - Lead technical discussions and decision-making related to AI/ML strategy, architecture, and system integration. - Mentor and guide teams in AI/ML best practices, coding standards, and emerging technologies. - Ensure compliance with data security, privacy, and ethical AI standards in all AI/ML solutions. - Work closely with product teams to integrate AI models into products and services, optimizing user experience and business outcomes. - Stay updated with industry trends, tools, and technologies in AI/ML to keep the organization at the forefront of advancements Qualifications Required Qualifications: - 8+ years of experience in AI, machine learning, and data science,
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