UST · 8 hours ago
Senior Data Science, AI/ML Engineer (Google Cloud - Retail) (Lead I - ML Engineering)
UST is currently recruiting for a Senior Data Science / AI/ML Engineer specializing in Google Cloud Platform with strong retail domain experience. The role involves leading the design and deployment of scalable ML solutions and mentoring peers while collaborating with cross-functional teams.
ConsultingInformation TechnologyInformation Services
Responsibilities
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
Qualification
Required
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
Preferred
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
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
Company
UST
UST is a Digital Transformations Solutions Provider.
H1B Sponsorship
UST has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (870)
2024 (800)
2023 (647)
2022 (634)
2021 (612)
2020 (984)
Funding
Current Stage
Late StageTotal Funding
$250MKey Investors
Temasek Holdings
2018-06-27Private Equity· $250M
Recent News
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2026-01-24
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