This is a vital role with significant growth prospects . You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization goals. Some of this role s key responsibilities include, but not limited to:
Collaborate with a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions
Work in an Agile practice in a highly collaborative environment with a multidisciplinary team.
Design end-to-end system architecture for GenAI/AI/ML and data intensive applications
Develop and deploy production-grade real-time/batch machine learning services
Work with product managers to design user journeys, feedback loop and analyze user telemetry
Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions
Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions
Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice
What you ll bring:
You have 6 + years experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications
You have a bachelors/masters degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area
You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups.
You have experience in production-grade python code development .
You can execute our trustworthy AI/ML practice with stakeholders across the enterprise.
You can communicate internally and externally through publication s , presentations, and other mediums on research progress, major breakthroughs, and product innovation.
You have e xtensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch .
You have e xperience in building deep learning applications, neural network deployment optimizations and architecting ML systems
Y ou have experience in developing chatbots/ NLP/ recommendation-engine systems
You are excited about building distributed machine learning systems at scale in production
You are familiar with version control using Git in collaboration settings
You have experience at writing high-performing production-quality code in Python
You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes
You are research driven, thorough and detail oriented
You believe in the importance of establishing work standards and leveraging automations
You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms
You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others
Job Classification
Industry: RetailFunctional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full time