Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
About the role
- Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
Responsibilities
- Play a key role to solve complex problems pivotal to Walmart’s business
- Drive actionable insights from petabytes of data
- Solve problems using world class algorithms, by researching and implementing these to production
- Develop/Review the production level code for implementation of Deep Vision algorithms
- Research, learn & adapt new technologies to solve problems & improve existing solutions
- Partner with team and stakeholders to assess customer needs and define business questions
- Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry
- Collaborate with data scientists, software engineers, and product teams to scale models into production systems
- Design and optimize ML pipelines, ensuring scalability, efficiency, and real-time processing capabilities
- Deploy and Scale end-to-end models, balancing accuracy and computational efficiency
- Ensure models meet business and operational requirements, optimizing for accuracy, latency, and reliability
- Explore and integrate the latest AI advancements, ensuring Walmart remains a leader in AI-driven delivery solutions.
Requirements
- Masters in Engineering/Technology or MSc with 6-9 years of relevant experience
- Experience in Machine learning, Computer/Deep Vision / Multimodal large language models
- Proficiency with Python/PySpark/BigQuery
- Proficiency with ML libraries sklearn/pytorch/tensorflow
- Cloud friendliness (GCP/Azure) to leverage distributed computing/scalability
- Proven track record of deploying ML models in production, preferably in high-scale environments
- Knowledge of big data technologies like Spark, Kafka, and SQL
- Proficiency in MLOps practices, including CI/CD for ML pipelines and model monitoring
- Strong understanding of DevOps tools and infrastructure automation
- Ability to drive projects from conception to production in a fast-paced, dynamic environment
- Good communication/influencing/mentoring skills with inclination to high ownership and commitment.
Benefits
- maternity and parental leave
- pto
- health benefits
- incentive awards for performance
- flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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