Register Login

  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
Get Resume Score
India Jobs Expertini

Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Job Opening In CHENNAI – Now Hiring UPS

Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx

    India Jobs Expertini Expertini › India › Jobs › Chennai › Other General › Senior – Mle – Python, Ml Frameworks, Mlops, Containerization, Terraform, Gcp, Vertex Ai, Ibm Watsonx

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:**

**About Machine Learning Engineering at UPS Technology:**

We’re the obstacle overcomers, the problem get-arounders.

From figuring it out to getting it done… our innovative culture demands “yes and how!” We are UPS.

We are the United Problem Solvers.

Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems.

These systems power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations.

We build scalable, production-grade ML solutions that move up to 38 million packages a day (4.7 billion annually), delivering measurable impact across the enterprise.

**About this Role:**

We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes.

You’ll work closely with data scientists, software engineers, and product teams to build intelligent systems that are robust, scalable, and aligned with UPS’s strategic goals.

You will contribute across the full ML lifecycle—from data exploration and feature engineering to model training, evaluation, deployment, and monitoring.

You’ll also help shape our MLOps practices and mentor junior engineers.

**Key Responsibilities:**

+ Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.
+ Build and scale ML pipelines using **Vertex AI Pipelines, Kubeflow, Airflow** , and manage infra-as-code with **Terraform/Helm** .
+ Implement **automated retraining, drift detection, and re-deployment** of ML models.
+ Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.
+ Implement **model monitoring, observability, and alerting** across accuracy, latency, and cost.
+ Integrate and manage **feature stores, knowledge graphs, and vector databases** for advanced ML/RAG use cases.
+ Ensure pipelines are **secure, compliant, and cost-optimized** .
+ Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance.
+ Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.
+ Stay current with the latest ML research and apply new tools pragmatically to production systems.
+ Collaborate with product managers, DS, and engineers to **translate business problems into reliable ML systems** .

**Required Qualifications:**

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).

Experience

+ 5+ years of experience in machine learning engineering, **MLOps, or large-scale AI/DS systems** .
+ Strong foundations in data structures, algorithms, and distributed systems.
+ **Proficient in Python** (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.
+ Hands-on **experience building and deploying ML models at scale** in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).
+ Experience with **containerization** (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).
+ Familiarity **with CI/CD pipelines, infrastructure-as-code** (Terraform/Helm), and configuration management.
+ Experience **with big data and streaming technologies** (Spark, Flink, Kafka, Hive, Hadoop).
+ Practical exposure to **model observability** tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)
+ Strong understanding of **statistical methods, ML algorithms, and deep learning architectures** .

**Preferred**

+ Experience with real-time inference systems or low-latency streaming platforms (e.g. Kafka Streams).
+ Hands-on with feature stores and enterprise ML platforms (IBM WatsonX, Vertex AI).
+ Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn) and responsible AI principles.
+ Strong understanding of data/model governance, lineage tracking, and compliance frameworks.
+ Contributions to open-source ML/MLOps libraries or strong participation in ML competitions (e.g., Kaggle, NeurIPS).
+ Domain experience in Logistics, supply chain, or large-scale consumer platforms.

**Employee Type:**

Permanent

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


Required Skill Profession

Other General


  • Job Details

Unlock Your Senior MLE Potential: Insight & Career Growth Guide


Real-time Senior MLE Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior MLE in CHENNAI, India, highlighting market share and opportunities for professionals in Senior MLE roles.

362386 Jobs in India
362386
7342 Jobs in Chennai
7342
Download Senior Mle Jobs Trends in Chennai and India

Are You Looking for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Job?

Great news! is currently hiring and seeking a Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at UPS adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in CHENNAI. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx?

Key qualifications for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx?

To improve your chances of getting hired for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Job Success

UPS interview tips for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx

Here are some tips to help you prepare for and ace your Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx job interview:

Before the Interview:

Research: Learn about the UPS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx interview at UPS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the UPS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx Positions

Setting up job alerts for Senior – MLE – Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!