As the Director of AI Technology Delivery, you will be responsible for leading the engineering, deployment, and management of AI solutions within our organization. Your role will involve overseeing the entire process from data ingestion to model deployment and integration, as well as architecting and implementing ML Ops pipelines to ensure secure and reliable deployment of models. Your expertise in AI/ML systems, full-stack engineering, and database design will be crucial in driving AI products from prototype to scaled deployment across global business units. You will be expected to define technical blueprints, solution architectures, and delivery plans for enterprise AI solutions, aligning with cloud infrastructure and security policies. Collaborating with cross-functional teams such as Product Management, AI Research, and Data Engineering, you will deliver AI-based features and ensure alignment between AI experimentation and productionization across various business units. Leading a team of senior engineers, AI developers, and data engineers, you will mentor staff on technical excellence, agile practices, and delivery accountability. Your strong leadership skills and ability to manage distributed engineering teams will be key in driving talent acquisition and technical skill development across the AI delivery squads. Your core competencies and skills should include hands-on experience with AI/ML technologies like Python, PyTorch, TensorFlow, and Hugging Face, as well as proficiency in full-stack technologies such as React.js, Node.js, and GraphQL. Knowledge of DevOps/MLOps tools like Docker, Kubernetes, and MLflow, along with experience working with various databases and cloud platforms, will be essential for success in this role. To excel in this position, you should hold a Masters or Ph.D. in Computer Science or a related field, with at least 14 years of experience in technology delivery and 8 years in AI/ML productization. Your success will be measured by the timely delivery of AI products, model performance, developer productivity, AI model governance compliance, and team engagement and skill advancement metrics.,

You will be responsible for driving operational excellence and continuous improvement initiatives as a Manager in Bangalore location. With at least 8 years of experience, including 4-5 years in leading transformation projects, you will utilize Lean Six Sigma methodologies to enhance processes. Your role will involve identifying and implementing Intelligent Automation solutions such as RPA, AI, and workflow optimization. Your expertise in developing global operating models and assessing current processes will be essential for successful project delivery. As a certified Six Sigma Master/Black Belt/Green Belt and with PMP or PRINCE2 certification, you will lead multiple projects simultaneously, ensuring timely delivery within budget constraints. Your analytical and problem-solving skills will be crucial in extracting insights from complex data to drive operational excellence. By collaborating closely with service lines, you will design and implement target operating models, aiming to derive tangible benefits for the organization. Your ability to research thoroughly, syndicate business cases, and manage global process transformation projects will be key to your success. If you believe you possess the required skills and experience, please share your resume at shikha@tdnewton.com for further consideration.,

As a Manager - Operational Excellence/Continuous Improvement, you will be responsible for driving transformation projects and operational excellence initiatives in large global organizations. With 8+ years of experience, including at least 4-5 years of independently leading transformation projects, you will be a key player in enhancing process efficiency and driving continuous improvement. Your primary skills in Lean Six Sigma - Black Belt project management, continuous improvement, digital transformation, and operational excellence will be crucial in identifying and implementing Intelligent Automation opportunities such as process mining, RPA, AI, and workflow optimization. Your role will involve developing global operating models that leverage onshore and offshore delivery centers, analyzing complex data to extract insights, and identifying opportunities for operational excellence to deliver tangible benefits for the organization. You will work closely with service lines to assess current operating models, design and implement target operating models, and ensure that business cases are thoroughly researched and syndicated. Your strong analytical and problem-solving skills, along with your certification in Six Sigma and project management, will enable you to manage multiple workstreams/projects effectively and deliver operational excellence projects within the divisional portfolio on time, to scope, and within budget. If you have a passion for driving operational excellence, leading transformation projects, and possess the required skills and experience, we encourage you to share your resume at shikha@tdnewton.com. Join us in our journey towards continuous improvement and operational excellence in Bangalore & Gurgaon.,

You will be responsible for developing, communicating, and embedding security strategies within the organization. These strategies should be designed at different levels within the organization, such as business unit level, functional level, or operational level. Your experience in any of these levels will be considered valuable. Your role will involve utilizing transferable skills that can be applied to Enterprise Security Architecture. These skills include horizon scanning & research, aligning security with business & technology goals, developing security architecture guidance & designs, providing security architecture services, sitting on / or chairing governance committees, data-driven reporting to C-suite level and heads of business units. Ideally, you should have experience working as an Enterprise Security Architect, Infrastructure/Solution Architect, or Security Architect/Consultant. Hands-on experience and knowledge in securing digital products/solutions in the Cloud (e.g. AWS, Azure, and Google) will be a significant asset for this role. A good understanding of Cloud, Application, and SaaS security concepts, best practices, and industry standards is essential for success in this position.,