AI Solutions Lead

Role Overview: You are sought after to lead the design and implementation of advanced AI and Machine Learning solutions for the organization. Your role will involve collaborating with various teams to develop innovative products using AI/ML technologies to achieve business objectives. As an experienced AI/ML Architect/Solutions Lead, you are expected to possess strong technical skills in AI/ML and demonstrate leadership in creating scalable and high-performance models and solutions. Key Responsibilities: - Lead the design, architecture, and implementation of end-to-end AI/ML solutions. - Collaborate with business leaders, product teams, and data scientists to identify key business problems and propose AI/ML-driven solutions. - Define and drive the AI/ML roadmap in alignment with organizational goals. - Architect scalable machine learning systems ensuring performance, reliability, and maintainability. - Stay updated on the latest trends in AI/ML technologies and apply them to solve complex business challenges. - Provide leadership and guidance to data scientists and engineers, ensuring best practices in model development and deployment. - Deploy AI/ML models into production, monitor, optimize, and iterate based on real-world performance. - Advocate for the integration of AI/ML into product offerings and business processes. - Evaluate the business impact and ROI of AI/ML solutions with stakeholders. Qualifications Required: - 10+ years of experience in AI/ML with a proven track record in designing and deploying AI-driven solutions. - Expertise in machine learning algorithms, deep learning, NLP, and data science tools like TensorFlow, PyTorch, and scikit-learn. - Experience with cloud platforms (AWS, GCP, Azure) for deploying AI/ML models. - Strong understanding of data engineering concepts, data pipelines, and distributed computing. - Excellent problem-solving skills and ability to work on complex business problems. - Proven leadership abilities with excellent communication, collaboration, and leadership skills. - Familiarity with AI/ML model performance evaluation, explainability, and ethical considerations. Additional Company Details (if present): Cognida.ai aims to democratize decision intelligence for all businesses through AI and Analytics solutions. Their motto is 'No enterprise left behind'. Role Overview: You are sought after to lead the design and implementation of advanced AI and Machine Learning solutions for the organization. Your role will involve collaborating with various teams to develop innovative products using AI/ML technologies to achieve business objectives. As an experienced AI/ML Architect/Solutions Lead, you are expected to possess strong technical skills in AI/ML and demonstrate leadership in creating scalable and high-performance models and solutions. Key Responsibilities: - Lead the design, architecture, and implementation of end-to-end AI/ML solutions. - Collaborate with business leaders, product teams, and data scientists to identify key business problems and propose AI/ML-driven solutions. - Define and drive the AI/ML roadmap in alignment with organizational goals. - Architect scalable machine learning systems ensuring performance, reliability, and maintainability. - Stay updated on the latest trends in AI/ML technologies and apply them to solve complex business challenges. - Provide leadership and guidance to data scientists and engineers, ensuring best practices in model development and deployment. - Deploy AI/ML models into production, monitor, optimize, and iterate based on real-world performance. - Advocate for the integration of AI/ML into product offerings and business processes. - Evaluate the business impact and ROI of AI/ML solutions with stakeholders. Qualifications Required: - 10+ years of experience in AI/ML with a proven track record in designing and deploying AI-driven solutions. - Expertise in machine learning algorithms, deep learning, NLP, and data science tools like TensorFlow, PyTorch, and scikit-learn. - Experience with cloud platforms (AWS, GCP, Azure) for deploying AI/ML models. - Strong understanding of data engineering concepts, data pipelines, and distributed computing. - Excellent problem-solving skills and ability to work on complex business problems. - Proven leadership abilities with excellent communication, collaboration, and leadership skills. - Familiarity with AI/ML model performance evaluation, explainability, and ethical considerations. Additional Company Details (if present): Cognida.ai aims to democratize decision intelligence for all businesses through AI and Analytics solutions. Their motto is 'No enterprise left behind'.