Senior Data Science AI ML Engineer Google Cloud Retail Lead I ML Engineering

What you'll work on

• Architect, design, and deployment-to-end ML systems on Google Cloud at scale
• Lead development of data pipelines, feature engineering frameworks, and MLOps workflows
• Strong experience of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python
• Experience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc.)
• Experience in Deep Learning Techniques.
• Translate ambiguous business problems into data science solutions and measurable KPIs
• Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering
• Partner with Product, Engineering, and Business stakeholders to influence strategy using data-driven insights
• Implement robust MLOps practices (CI/CD, model monitoring, automated retraining, observability)
• Building predictive models and segmentations to create better customer experience.
• Evaluate and implement optimal solution designs by assessing alternative workflows, architectures, and process improvements to ensure efficiency, scalability, and reliability.
• Establish appropriate governance and controls by identifying risks and issues, and developing improved procedures, policies, and best practices.
• Develop, document, and maintain system protocols, operating procedures, and standards to ensure consistency, compliance, and maintainability.
• Support end users and stakeholders by creating and maintaining technical and user documentation, providing training, and offering operational support as required.
• Work closely with large team, great collaboration and stakeholder management skills
• Safeguard sensitive data and maintain user trust by adhering to confidentiality, security, and compliance standards.
• Prepare technical and analytical reports by collecting, analyzing, and synthesizing data, insights, and trends to inform strategic decision-making.
• Maintain and enhance professional and technical expertise through continuous learning, industry research, networking, and adoption of emerging technologies and best practices. Required Qualifications
• Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills
• Bachelor s/Master s degree in Computer Science, Data Science, Engineering, or related field
• Strong hands-on expertise with Google Cloud Platform
• Advanced proficiency in Python and ML/AI frameworks (scikit-learn, TensorFlow, PyTorch)
• Experience designing scalable ML architectures and distributed data systems
• Proven retail industry experience (mandatory)
• Experience building real-time and batch ML solutions
• Strong background in statistics, experimentation, A/B testing, and model validation
• Ability to independently drive projects from concept to production
• Excellent stakeholder management and influencing skills Good to Have
• Experience with Computer Vision / Vision models (shelf analytics, product recognition, OCR, etc.)
• Exposure to GenAI / LLM applications
• Kubernetes/Docker and cloud-native deployments
• Feature stores and model registries
• GCP or ML certifications Soft Skills & Leadership Traits
• Strong ownership mindset and accountability
• Positive, solution-oriented attitude
• Effective collaborator and team player
• Ability to mentor and guide junior team members
• Strong communication and storytelling skills
• Comfortably influencing senior stakeholders and driving adoption

What we're looking for

data science,a/b testing,mlops,machine learning,google cloud platform,data pipelines,