Machine Learning Engineer

Machine Learning Engineer Dallas, TX (Onsite) Full Time role Qualifications • Lead the design, development, and implementation of advanced recommendation systems and algorithms • Ability to conduct thorough exploratory data analysis, identify patterns and trends, and draw meaningful insights • 6+ years of experience working in a technical role, with 2 to 3 years in a senior technical role • 3+ years of experience building AI models and solutions from research to production, using common ML frameworks like Tensorflow and PyTorch • 2+ years of experience reviewing and refining architecture and conducting code reviews • 2+ years of experience leading a team of engineers in a technical lead capacity • Experience with major cloud platforms and building and deploying scalable ML systems • Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience • MS or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field • Experience with Databricks • Experience building personalization models for CRM and digital apps/websites • Experience building complex customer segments in retail • Experience delivering production quality systems leveraging emerging technologies. Benefits • The Company may ultimately pay more or less than the posted range • No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans • The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law Responsibilities • They can plan, coordinate, and deliver large tasks spanning multiple systems, and are strong communicators • They actively coach and mentor developers on their development team and can identify and resolve issues with technology and software development processes • As a Staff Engineer, you will not only help teams navigate technical problems, but grow and coach developers on your team to write scalable, resilient, and robust software and systems • Note that most engineers will typically spend up to 30-50% of their time designing and building software, with their remaining time being committed to architecting/planning, mentoring, and technical exploration • As a Staff Machine Learning Engineer specializing in Personalization, you will: • Architect, design, develop, and deploy machine learning models that serve real-time recommendations across Digital apps, Marketing etc • Build and deploy high-impact, robust ML pipelines, including data extraction, feature development, model training, testing, and deployment • Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across multiple regions and product areas • Learn and partner with peers across multiple disciplines, such as Data Engineering, Product and Platform • Monitor and maintain production models, ensuring their continued performance and reliability • Evaluate and grow technical talent throughout the AI team, with a focus on subject matter expertise • Represent the AI COE in cross-functional meetings with other technical teams • Stay up to date with emerging technologies and learn new technologies/libraries/frameworks • Deliver on time with a high bar on quality of research, innovation and engineering Job description. About the job: You’ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day. Staff Engineers have a large amount of experience across multiple areas and lead system architecture, guiding developers and communicate progress against the technical roadmap and backlog. They can plan, coordinate, and deliver large tasks spanning multiple systems, and are strong communicators. They actively coach and mentor developers on their development team and can identify and resolve issues with technology and software development processes. As a Staff Engineer, you will not only help teams navigate technical problems, but grow and coach developers on your team to write scalable, resilient, and robust software and systems. Note that most engineers will typically spend up to 30-50% of their time designing and building software, with their remaining time being committed to architecting/planning, mentoring, and technical exploration. Key Responsibilities: As a Staff Machine Learning Engineer specializing in Personalization, you will: • Lead the design, development, and implementation of advanced recommendation systems and algorithms. • Architect, design, develop, and deploy machine learning models that serve real-time recommendations across Digital apps, Marketing etc. • Build and deploy high-impact, robust ML pipelines, including data extraction, feature development, model training, testing, and deployment • Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across multiple regions and product areas • Ability to conduct thorough exploratory data analysis, identify patterns and trends, and draw meaningful insights. • Learn and partner with peers across multiple disciplines, such as Data Engineering, Product and Platform. • Monitor and maintain production models, ensuring their continued performance and reliability • Evaluate and grow technical talent throughout the AI team, with a focus on subject matter expertise. • Represent the AI COE in cross-functional meetings with other technical teams. • Stay up to date with emerging technologies and learn new technologies/libraries/frameworks. • Deliver on time with a high bar on quality of research, innovation and engineering Basic Qualifications: • 6+ years of experience working in a technical role, with 2 to 3 years in a senior technical role • 3+ years of experience building AI models and solutions from research to production, using common ML frameworks like Tensorflow and PyTorch. • 2+ years of experience reviewing and refining architecture and conducting code reviews • 2+ years of experience leading a team of engineers in a technical lead capacity • Experience with major cloud platforms and building and deploying scalable ML systems. • Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience Extra Credit: • MS or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field • Experience with Databricks. • Experience building personalization models for CRM and digital apps/websites. • Experience building complex customer segments in retail. • Experience delivering production quality systems leveraging emerging technologies.. Best Regards Shilpi Suman Email: shilpi.s@saxonglobal.com