AIML Architect

We are seeking an experienced AIML Architect with over 10 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.

Required Qualifications:

• 10+ years of experience in AI, machine learning, and data science, with a strong 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.Role & responsibilities.