Machine Learning Engineer

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 optimise 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 modelling and application needs.
• Optimise performance of data and model pipelines and troubleshoot issues in real time.
• Collaborate with stakeholders to define data requirements and deliver reliable solutions.

Requirements:

• 7 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.
• A bachelor's or master's degree in computer science, data engineering, or a related field.