Associate Machine Learning Engineer

Posted 7 Days Ago
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Hyderabad, Telangana, IND
In-Office
Mid level
Automotive
The Role
Deploys and productionizes machine learning models for a global mobility platform. Responsibilities include building MLOps capabilities, managing model versioning and serving, developing inference pipelines, monitoring system performance, creating containerized environments, and integrating cloud-native and distributed technologies. The role also supports benchmarking, troubleshooting, optimization, and scalable deployment while collaborating with data scientists, cloud engineers, and data engineers.
Summary Generated by Built In

The opportunity 

As an ML Engineer, you will be responsible for the deployment of our core data science and AI models into our Global Mobility Solution platform.  

 

On this position you will: 

  • Contribute to the building of our ML Operations platform  

  • Support model deployment into Production platforms, ensuring effective model management (artifact versioning, serving, inference pipelines, production integration) 

  • Support monitoring, logging, and observability to ensure system reliability and performance. 

  • Build and manage containerized deployment environments. 

  • Evaluate and integrate cloud-native services, distributed computing frameworks, and infrastructure automation tools.   

  • Collaborate with data scientists, cloud engineers and data engineers to support, troubleshoot, and optimize AI models productionalization. 

  • Transform proof-of-concept models into production-ready solutions and deploy them at scale 

  • Build model performance benchmarking, evaluation and monitoring capabilities.  

  • To join our team, you will need: 

 

Education: 

Bachelor degree in Computer Science, 

Master preferred 

 
Languages: 

You are fluent in English.  

 

Experience: 

  •  3-4 years of experience in deploying, monitoring and maintaining machine learning models in cloud environments 

  • Skills & Qualifications: 

Demonstrated experience with:  

  • Cloud platform technology (AWS, Terraform, Kubernetes, ...) 

  • Linux-based systems, containerization, and workflow orchestration (Linux, Bash, Docker, Airflow, ...) 

  • Data storage, ingestion, and processing technologies (SQL, NoSQL, data lakes, object storage, batch and streaming pipelines) 

  • Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles) 

  • Deployment of production-level software  

  • Machine Learning lifecycle (MLOps) 

 

Strong understanding of software development lifecycle and best practices. 

Good problem-solving skills and attention to detail. 

Must be able to function independently as well as work in a collaborative team environment. 

Willingness to learn new technologies 


Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 48 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.

Skills Required

  • Bachelor's degree in Computer Science
  • Fluency in English
  • 3-4 years of experience deploying, monitoring, and maintaining machine learning models in cloud environments
  • Experience with cloud platform technologies such as AWS and Terraform
  • Experience with Kubernetes
  • Experience with Linux-based systems and Bash
  • Experience with containerization tools such as Docker
  • Experience with workflow orchestration such as Airflow
  • Experience with data storage, ingestion, and processing technologies, including SQL, NoSQL, data lakes, object storage, and batch and streaming pipelines
  • Experience with Python, Git, unit testing, and CI/CD principles
  • Experience deploying production-level software
  • Experience with the machine learning lifecycle and MLOps
  • Strong understanding of software development lifecycle and best practices
  • Master's degree

The Goodyear Tire & Rubber Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Goodyear Tire & Rubber Company and has not been reviewed or approved by The Goodyear Tire & Rubber Company.

  • Retirement Support Retirement benefits include a 401(k) with company match, and some materials describe automatic contributions and matching that can meaningfully boost savings.
  • Healthcare Strength Core coverage commonly spans medical, prescription, dental and vision, paired with wellness resources such as the GoodLife program and an EAP.
  • Leave & Time Off Breadth Time-off provisions typically include paid vacation, holidays, and sick time, with family medical leave and adoption assistance highlighted in benefits descriptions.

The Goodyear Tire & Rubber Company Insights

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The Company
HQ: Akron, Ohio
25,000 Employees
Year Founded: 1898

What We Do

Goodyear is one of the world's largest tire companies. It employs about 72,000 people and manufactures its products in 57 facilities in 23 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry.

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