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Cerence Inc.

Senior Software Engineer (Python, DevOps/ML Ops)

Reposted 15 Days Ago
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Remote
Hiring Remotely in Hinjawadi, Pune, Mahārāshtra
Senior level
Remote
Hiring Remotely in Hinjawadi, Pune, Mahārāshtra
Senior level
The Senior Software Engineer will build and maintain ML Ops pipelines, deploy models, and enhance DevOps automation workflows.
The summary above was generated by AI
A Moving Experience.

ML Ops/Dev Ops Engineer

Experience: 5–8 years | Location: Hinjewadi, Pune | Type: Full-time 
 

About the Role 

We are looking for a Mid-Level ML Ops, Dev Ops Engineer along with expertise in Python programming. You will be responsible for building and maintaining ML Ops pipelines, deploying speech and language models, and ensuring reliable production performance, validating the model output. This is a hands-on role for someone who thrives on operationalizing AI models at scale. Additionally maintain and improve Dev ops and automation pipelines.
 

Key Responsibilities 

  • Build and manage ML Ops workflows for model training, deployment, and monitoring. 

  • Support, maintain CICD setup, DevOps activities and automation pipelines. 

  • Automate ML lifecycle tasks (data prep, training, evaluation, deployment). 

  • Ensure model reproducibility, versioning, and monitoring. 
     

Must-Have 

  • 5–8 years of experience in ML Ops / ML Engineering. 

  • Hands on in python programming

  • Hands-on with CI/CD for DevOps, ML, model deployment & monitoring. 
     

Good-to-Have 

  • Experience in an AI-focused company. 

  • Python scripting for automation. 
     

Tech Stack (Preferred) 

Jenkins, Ansible, Docker, Kubernetes, Pytorch, MLflow, Kubeflow, Airflow
 

Why Join Us 

  • Work on impactful AI applications in speech & language. 

  • Contribute hands-on to cutting-edge ML Ops systems. 

  • Be part of a collaborative, innovative team with room to grow. 

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.  

 

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. 

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

- Demonstrative knowledge of information security through internal training programs.

Top Skills

Airflow
Ansible
Ci/Cd
Docker
Jenkins
Kubeflow
Kubernetes
Mlflow
Python
PyTorch

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