Position Details

Type Full-Time

Experience mid

Exp. Years 5+ years

Education Master's or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field

Category AI & Machine Learning

About this role

Lead the development and deployment of advanced AI/ML solutions for commercial analytics in energy, working end-to-end from problem framing to production, with a focus on scalable, reliable, and impactful models.

Key Responsibilities

Design AI/ML models
Deploy solutions end-to-end
Partner with stakeholders
Develop GenAI applications
Ensure production readiness

Technical Overview

Technical environment includes Python, PyTorch, TensorFlow, scikit-learn, Databricks, Spark, GenAI frameworks, MLOps tools like MLflow, and explainable AI techniques.

Ideal Candidate

The ideal candidate is a mid-level AI/ML engineer with 5+ years of experience in deploying production AI solutions, proficient in Python and frameworks like PyTorch and TensorFlow, with strong knowledge of MLOps and explainable AI techniques.

Must-Have Skills

5+ years of experience delivering production AI/ML solutionsProficiency in PythonExperience with ML frameworks (PyTorchTensorFlowscikit-learn)Experience with Databricks/SparkExperience with MLOpsmodel governanceexplainable AI techniques

Nice-to-Have Skills

Azure MLAzure OpenAIKnowledge graphshybrid search RAGsemantic technologiesAgile development

Tools & Platforms

Azure MLAzure OpenAIDatabricksMLflowLangChainPromptflow

Required Skills

AI/ML solutionsPythonPyTorchTensorFlowscikit-learnDatabricksSparkGenAI frameworksLangChainPromptflowMLOpsMLflowexplainable AISHAPLIMEmodel governancestatisticsprobabilityalgorithm design

Hard Skills

PythonPyTorchTensorFlowscikit-learnDatabricksSparkGenAI frameworksLangChainPromptflowMLOpsMLflowexplainable AISHAPLIMEAI/ML solutionsmodel governancestatisticsprobabilityalgorithm design

Soft Skills

communicationcollaborationmentoringproblem-solvingteamwork

Industry & Role

Industry Energy

Job Function Developing and deploying AI/ML solutions for commercial analytics in energy sector

Keywords for Your Resume

Data ScientistAI/ML solutionsPythonPyTorchTensorFlowscikit-learnDatabricksSparkGenAI frameworksLangChainPromptflowMLOpsMLflowexplainable AISHAPLIMEmodel governancestatisticsprobabilityalgorithm design

Deal Breakers

Less than 5 years of experience in AI/ML solutions, Lack of experience with MLOps or explainable AI, No proficiency in Python or ML frameworks, No experience with Databricks or Spark

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Data Scientist, Commercial Analytics

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