UPS is hiring for the role of ML Engineer for Chennai location. Please read the entire information carefully and apply if you are eligible for the Software Engineer Developer Job Opening at UPS
Eligibility Criteria :
Education: Bachelor’s degree in Computer Science or related discipline, or the equivalent in education and work experience
Job Location: Chennai
Experience: 0-1 Years
Skills: Python, SQL, ML, AI, Scala or Java
Salary: Upto ₹6.5 LPA (Expected)
Job Description for ML Engineer Job Opening at UPS:
- Manage machine learning models in production environments, ensuring smooth integration with existing systems
- Monitor model performance using established metrics (accuracy, precision, recall, F1 score, etc.) and identify potential issues like performance degradation, drift, or bias
- Participate in the response and resolution of production incidents promptly, minimizing downtime and impact on business operations
- Collaborate with stakeholders (data scientists, software engineers, operations) 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 (profiling, feature importance analysis, anomaly detection).
- 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.
Skills Required to be successful in this role:
- 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
Secondary skills :
- 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.
IMPORTANT NOTE: There are no hidden fees to apply for this job opening. So any candidate who is eligible can directly apply.
About the Company:
United Parcel Service, Inc. is an American multinational shipping & receiving and supply chain management company founded in 1907. Originally known as the American Messenger Company specializing in telegraphs, UPS has grown to become a Fortune 500 company and one of the world’s largest shipping couriers.
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