Tamil Nadu Algorithms & optimization engineer Jobs – 108 Open Jobs Today

Senior MLE - MLOps, Python, GCP, VertexAI, GKE
UPS —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- SQL
Computer Vision ML
MASTER MIND CONSULTANCY —Chennai, Tamil Nadu
- ₹30 - ₹35 an hour
- Computer Science
- Analysis skills
- Machine learning
Quick apply
LLVM Back-end Engineer
MulticoreWare —Ramapuram, Chennai, Tamil Nadu
- Full-time
- Software development
Senior Developer (Backend)
Propel Technology Group —Chennai, Tamil Nadu
- Azure
- Computer Science
- DevOps
Data Scientist
Shell —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Salesforce
Technical Lead, Software Development (High Performance Computing)
KLA —Chennai, Tamil Nadu
- Full-time
- Master's degree
- C++
- Bachelor's degree
Senior iOS Developer-Assistant Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Software troubleshooting
- Analysis skills
- Bachelor's degree
Senior iOS Developer - Assistant Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Software troubleshooting
- Analysis skills
- Bachelor's degree
Senior Data Analyst
Valeo —Chennai, Tamil Nadu
- Full-time
- Analysis skills
- Machine learning
Data Scientist-Senior II
FedEx AMEA —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
10d
Lead Engineer - Customer Application
GE Vernova —Pallavaram, Chennai, Tamil Nadu
- Full-time
- Engineering
- Master's degree
- Programmable logic controllers
Senior Developer - .Net Fullstack
Propel Technology Group —Chennai, Tamil Nadu
- Azure
- Computer Science
- DevOps
Data Scientist-Senior I
FedEx AMEA —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
Scala Developer
Propel Technology Group —Chennai, Tamil Nadu
- Azure
- Computer Science
- DevOps
Sr ML and AI (Legacy) - Chennai
Photon —Chennai, Tamil Nadu
- Doctoral degree
- Computer Science
- Bachelor's degree
Data Architect
Accenture —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Machine learning
- APIs
Data Science Engagement Lead
Shell Energy —Chennai, Tamil Nadu
- Full-time
- Azure
- Salesforce
- Master's degree
Data Science Engagement Lead
Shell —Chennai, Tamil Nadu
- Full-time
- Azure
- Salesforce
- Master's degree
Senior Data Science Lead (Gen AI/ Agentic AI) - Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Management
- Computer Science
- Master's degree

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Senior MLE - MLOps, Python, GCP, VertexAI, GKE

UPS -
Chennai, Tamil Nadu

Apply Now

Job details

Permanent | Full-time

Qualifications

CI/CD
Azure
Law
Kubernetes
Lean
Google Cloud Platform
Master's degree
SQL
Bachelor's degree
Machine learning
Terraform
Continuous integration
Deep learning
Natural language processing
Agile
AI
Billing
Communication skills
Python

Full job description

Before you apply to a job, select your language preference from the options available at the top right of this page.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Summary:

We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.

Responsibilities:

Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.
Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.
Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.
Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.
Optimization of the queries and pipelines.
Modernization of the applications whenever required

Qualifications:

Expertise in programming languages like Python, SQL
Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems.
Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)
Understanding of model evaluation metrics, model monitoring tools and practices.
Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.
Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications.
Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining.
Bachelor’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Bonus Qualifications:

Experience in Azure MLOPS,
Familiarity with Cloud Billing.
Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features.
Experience working in an Agile environment, understanding of Lean Agile principles.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Apply Now

Refine Your Search

algorithms & optimization engineer jobs in tamil nadu

Senior MLE - MLOps, Python, GCP, VertexAI, GKE

Computer Vision ML

LLVM Back-end Engineer

Senior Developer (Backend)

Data Scientist

Technical Lead, Software Development (High Performance Computing)

Senior iOS Developer-Assistant Vice President

Senior iOS Developer - Assistant Vice President

Senior Data Analyst

Data Scientist-Senior II

Lead Engineer - Customer Application

Senior Developer - .Net Fullstack

Data Scientist-Senior I

Scala Developer

Sr ML and AI (Legacy) - Chennai

Data Architect

Data Science Engagement Lead

Data Science Engagement Lead

Senior Data Science Lead (Gen AI/ Agentic AI) - Vice President

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