Machine Learning Architect

Role Overview: Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine & realize transformational opportunities at the heart of the business. They are passionate about customers & obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous & businesses safer. Quantiphi offers solutions across various industries like Healthcare, Insurance, Media, Retail, Manufacturing, & Consumer Products and is in partnership with Google Cloud, AWS, NVIDIA, Looker, Snowflake, SAP & Tensorflow. Key Responsibilities: - Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures. - Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. - Identify emerging technologies and trends affecting the Data Science/ ML life-cycle management in enterprise application portfolio. - Multitask and work on multiple engagements related to different domains. - Work collaboratively in a fast-paced environment by interacting with stakeholders and various IT teams to facilitate the design and development of ML/AI solutions. - Ensure successful delivery of all allocated projects with respect to schedule, quality, and customer satisfaction. - Assist the pre-sales team in RFP, RFIs, and solutioning for different AI/ML use cases. - Evaluate latest technologies, decide technical feasibility, and drive solution implementations. - Follow Agile standards and methodologies in all project phases and ensure excellence in delivery to customers. - Refine coding standards, software development guidelines, and best practices within the organization. - Mentor other architects and young talent within the organization, defining and tracking their growth parameters. Qualifications Required: - Strong interpersonal and written skills with clear and precise communication. - Experience working in an Agile and competitive environment. - Technical leadership experience handling large teams. - Stakeholder interaction experience within the organization and with clients. - Strong analytical and quantitative skill set with proven experience solving business problems across domains. - Hands-on experience with Python/R programming and ML/Viz. libraries/frameworks. - Experience with ML algorithms, DL/CV techniques, and NLP. - Forecasting modeling experience with various algorithms. - Proven experience building and deploying AI/ML solutions in production. - Hands-on AI/ML experience with any one cloud platform (GCP, Azure, AWS). (Note: Additional details of the company were not present in the provided job description.) Role Overview: Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine & realize transformational opportunities at the heart of the business. They are passionate about customers & obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous & businesses safer. Quantiphi offers solutions across various industries like Healthcare, Insurance, Media, Retail, Manufacturing, & Consumer Products and is in partnership with Google Cloud, AWS, NVIDIA, Looker, Snowflake, SAP & Tensorflow. Key Responsibilities: - Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures. - Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. - Identify emerging technologies and trends affecting the Data Science/ ML life-cycle management in enterprise application portfolio. - Multitask and work on multiple engagements related to different domains. - Work collaboratively in a fast-paced environment by interacting with stakeholders and various IT teams to facilitate the design and development of ML/AI solutions. - Ensure successful delivery of all allocated projects with respect to schedule, quality, and customer satisfaction. - Assist the pre-sales team in RFP, RFIs, and solutioning for different AI/ML use cases. - Evaluate latest technologies, decide technical feasibility, and drive solution implementations. - Follow Agile standards and methodologies in all project phases and ensure excellence in delivery to customers. - Refine coding standards, software development guidelines, and best practices within the organization. - Mentor other architects and young talent within the organization, defining and tracking their growth parameters. Qualifications Required: - Strong interpersonal and written skills with clear and precise communication. - Experience working in an Agile and competitive environment. - Technical leadership experience handling large teams. - Stakeholder interaction experience within the organization and with clients.