Machine Learning Engineer

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Responsibilities:

  • Develop and deploy agentic AI workflows for private equity value chains at Quantum. This involves combining financially focused workflows with knowledge from the energy industry.
  • Implement state-of-the-art practices in context engineering for JTBD-focused AI agents, including evals for agents.
  • Research, train and tune AI agents to optimize eval metrics for specific objectives, including research on evals for qualitative tasks
  • Work in tools, functions and MCP services to augment AI-ready data pipelines
  • Develop/tune web services to scale model inferencing
  • Integrate data from multiple structured and unstructured sources into unified data platforms.
  • Implement best practices for data quality, governance, security, and compliance.
  • Work with data scientists and software engineers to ensure seamless integration of data for modeling and application needs.
  • Optimize performance of data and model pipelines and troubleshoot issues in real time.
  • Collaborate with stakeholders to define data requirements and deliver reliable solutions.


Requirements:

  • 8 years of experience in Machine Learning Engineering or related roles.
  • Proficiency in using Generative AI tools for accelerating software development and data workflows.
  • Hands-on experience in evaluating ML model metrics, and tuning existing models
  • Hands-on experience in developing web services (using any stack/framework). Preference for web services performing model inference.
  • Hands-on expertise with data pipeline frameworks (Apache Airflow, Spark, Kafka, etc. ).
  • Strong programming skills in Python, SQL, Java, or Scala.
  • Experience with cloud-based data platforms (AWS, Azure, or GCP).
  • Proficiency in using Generative AI tools for accelerating software development and data workflows.
  • Knowledge of API integration, data streaming, and real-time processing.
  • Strong problem-solving, analytical, and debugging skills.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
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