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Data Scientist - ML Engineering
H-E-B
San Antonio, UAE
Full Time
Senior
1 months ago
PythonSQLMachine LearningDockerKubernetesGenerative AI
Free
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PythonSQLMachine Learning
About the Role
H-E-B is seeking a Senior Data Scientist (ML Engineering) to design and maintain ML platforms, deploy models, and develop Generative AI solutions. The role involves building frameworks for cross-domain learning, causality analysis, and reusable storytelling.
Key Skills for This Role
PythonSQLMachine LearningDockerKubernetesGenerative AI
Responsibilities
- Handle the design, creation, and maintenance of an ML platform and related environments
- Manage Docker containers and Kubernetes clusters, oversee dependencies and configurations, and implement CI/CD pipelines
- Monitor and optimize model training performance and resource usage
- Deploy ML models to production environments and manage model versioning and rollback mechanisms
- Ensure scalable and reliable model serving using tools like Vertex, Databricks, TensorFlow Serving, Flask, or FastAPI
- Work closely with data scientists, data engineers, and stakeholders to understand and fulfill infrastructure needs
- Architect and develop Generative AI solutions utilizing Machine Learning and GenAI techniques
- Handle both unstructured and structured data, preparing it for Language Model Learning
- Build a framework to stitch cross domains learning and optimize them toward mission specific tasks
- Create an enterprise domain specific reasoning system to boost actionable insights
Requirements
- A related degree or comparable formal training, certification, or work experience
- 7+ years of experience in a retail or retail related decision science role
- Expertise in ML visualization flow
- Expertise in optimizing distributed machine learning in a heterogeneous domain environment
- Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C++
- Technical knowledge in big data / ML optimization: GPU code optimization, Horovod, Spark MLlib optimization, Cython, JNI, Numba
- Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta Learning, federated learning
- Ability to consider and apply causal reasoning representation and learning, and human centric, explainable, responsible AI
Full Job Posting
Responsibilities
- H E B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems.
What is the work?
- Handles the design, creation, and maintenance of an ML platform and related environments.
- Manages Docker containers and Kubernetes clusters, oversees dependencies and configurations, and implements CI/CD pipelines.
- Monitors and optimizes model training performance and resource usage.
- Deploys ML models to production environments and manages model versioning and rollback mechanisms.
- Ensures scalable and reliable model serving using tools like Vertex, Databricks, TensorFlow Serving, Flask, or FastAPI.
- Works closely with data scientists, data engineers, and stakeholders to understand and fulfill their infrastructure needs.
- Architects and develops Generative AI solutions utilizing Machine Learning and GenAI techniques.
- Handles both unstructured and structured data, preparing it to be used as context for Language Model Learning (LLM).
- Trains models on prepared data and fine tuning hyperparameters to achieve optimal performance.
Analytics / Design & Development
- Builds a framework to stitch cross domains learning; optimizes them toward mission specific and multi mission tasks.
- Serves as expert specializing in AI interpretation and causality; uncovers ML model's causality relationships.
- Creates an enterprise domain specific reasoning system to boost actionable insights and optimize the resources of machine learning process.
- Orchestrates reusable storytelling methodology to apply toward AI translation.
- Applies an inquisitive nature to creating ML / AI transparency to the business.
- Applies AI reasoning into business action recommendations.
- Applies AI research to accelerate business innovation.
What is your background?
- A related degree or comparable formal training, certification, or work experience.
- 7+ years of experience in a retail or retail related decision science role.
- Expertise in ML visualization flow.
- Expertise in optimizing distributed machine learning in a heterogeneous domain environment.
Do you have what it takes to be a Senior Data Scientist at H E B?
- Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C++.
- Technical knowledge in big data / ML optimization: GPU code optimization, Horovod, Spark MLlib optimization, Cython, JNI, Numba.
- Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta Learning, federated learning.
- Technical skills to consider and apply causal reasoning representation and learning, and human centric, explainable, responsible AI.
- Ability as a creative storyteller and translator between business questions and ML solutions.
- Ability to work comfortably with imperfect or incomplete data.
- Ability to apply AI reasoning into business action recommendation.
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