Machine Learning Engineer

4 weeks ago


Chennai, Tamil Nadu, India UPS Full time

Job Title: Machine Learning Engineer

Job Summary:

The Machine Learning Engineer position at UPS plays a crucial role in the development and maintenance of Machine Learning (ML) models and software components that solve complex business problems. This position collaborates with cross-functional teams to assess and analyze large-scale data sources, identifying opportunities for ML and Artificial Intelligence (AI) automation.

Responsibilities:

  • Design and implement ML models in production environments, ensuring seamless integration with existing systems.
  • Monitor model performance using established metrics and identify potential issues like performance degradation, drift, or bias.
  • Participate in the response and resolution of production incidents, minimizing downtime and impact on business operations.
  • Collaborate with stakeholders to diagnose and fix problems.
  • Maintain documentation for deployed models, including deployment logs, monitoring dashboards, and troubleshooting procedures.
  • Ensure model compatibility with new software versions and infrastructure changes.
  • Archive and manage different model versions for auditability and rollback capabilities.
  • Analyze logs, error messages, and other data to diagnose model issues.
  • Utilize debugging tools and techniques specific to machine learning.
  • Reproduce and isolate issues in test environments before fixing them in production.
  • Document bug fixes and lessons learned to improve future model development and maintenance.
  • Analyze monitoring data proactively to identify trends and potential issues before they impact production.
  • Stay up-to-date on new monitoring tools and techniques for machine learning systems.
  • Report on model performance and health to stakeholders regularly.
  • Stay up-to-date on advances in machine learning and best practices for production usage.
  • Contribute to documentation and knowledge sharing within the team.

Qualifications:

  • Demonstrated proficiency in Python, SQL, and cloud platforms such as GCP, AWS, or Azure.
  • Experience in DevOps practices for supporting and maintaining applications and products driven by Machine Learning (ML) and Artificial Intelligence (AI).
  • Expertise in developing and optimizing ML pipelines.
  • Understanding and experience in scaling solutions for ML and AI applications.
  • Demonstrate experience in various ML frameworks such as Python, Scala, or Java for debugging and developing minor enhancements to models.
  • Proficiency in deploying and managing models using Kubernetes.
  • Experience in supporting products with capabilities including Deep Learning, Supervised, and Unsupervised techniques.
  • Familiarity with implementing solutions using Python, Scala, or Java.
  • Ability to utilize visualization tools for model monitoring and management in production.
  • Experience in deploying and managing machine learning models using containerization tools such as Kubernetes, Docker, Fargate, etc.
  • Documentation and communication skills for technical and non-technical stakeholders.
  • Strong investigative and troubleshooting skills with regards to ML Pipelines.
  • Excellent written and verbal communication skills.
  • Bachelor's degree in Computer Science or related discipline, or the equivalent in education and work experience.

Preferred Qualifications:

  • Comfortable working with data scientists, data engineers, product owners, and architects.
  • Background in Agile/Kanban development methodologies.
  • Experience working within Agile Frameworks for ML and AI projects.


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