Senior Data Science, AI/ML Engineer (Google Cloud - Retail) (Lead I - ML Engineering)

UST are currently recruiting for a Senior Data Science / Machine Learning Engineer in Google Cloud Platform (GCP) and strong retail domain experience to lead the design and deployment of scalable, production-grade ML solutions that drive measurable business outcomes.

This role is ideal for a hands-on technical leader who thrives as an independent contributor while also mentoring peers, collaborating cross-functionally, and confidently engaging with senior stakeholders. You will own end-to-end ML initiatives from problem framing and modelling to productization and impact measurement., * 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

Do you have a Master's degree?, * 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, data science,a/b testing,mlops,machine learning,google cloud platform,data pipelines

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact-touching billions of lives in the process.