ML Platform Engineer

Apply
Apply

Share

successfully icon

Successfully

The vacancy has been successfully added to favorites

location icon

Pune, India

specialization icon

AI/ML

lob icon

BCM Industry

date icon

19/09/2025

Req. VR-115893

Apply
Project description

We are seeking a skilled ML Platform Engineer, responsible for automating, deploying, patching, and maintaining our machine learning platform infrastructure. The ideal candidate will have hands-on experience with Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and MLOps best practices.

Responsibilities
bullet icon

Automate deployment and management processes for machine learning platforms using tools such as Ansible and Python.

bullet icon

Deploy, monitor, and patch ML platform components, including Cloudera Data Science Workbench (CDSW), Docker containers, and Kubernetes clusters.

bullet icon

Ensure high availability and reliability of ML infrastructure through proactive maintenance and regular updates.

bullet icon

Develop and maintain comprehensive documentation for platform configurations, processes, and procedures.

bullet icon

Troubleshoot and resolve platform issues, ensuring minimal downtime and optimal performance.

bullet icon

Implement best practices for security, scalability, and automation within the ML platform ecosystem.

Skills

Must have

bullet icon

DevOps / Platform Engineers+ Cloudera or Azure + Python + ML

bullet icon

Hands-on experience with CDSW (Cloudera Data Science Workbench) or similar ML/AI platforms.

bullet icon

Strong expertise in containerization and orchestration using Docker and Kubernetes (AKS preferred).

bullet icon

Proficiency in Python programming (enterprise-level applications, automation, and scripting).

bullet icon

Experience with Ansible for infrastructure as code (IaC), deployment automation, and configuration management.

bullet icon

Strong knowledge of Unix/Linux systems (administration, troubleshooting, performance tuning).

bullet icon

Practical experience with GitLab for source control and CI/CD pipeline automation.

bullet icon

Deep understanding of MLOps principles and best practices (deployment, monitoring, lifecycle management of ML workloads).

bullet icon

Experience in designing, developing, and maintaining distributed systems and services.

bullet icon

Proven ability in patching, updating, and maintaining platform infrastructure.

Nice to have

bullet icon

Previous banking domain Exp

bullet icon

Familiarity with Cloudera CDP ecosystem (beyond CDSW).

bullet icon

Knowledge of monitoring & observability tools (Prometheus, Grafana, ELK).

bullet icon

Exposure to Airflow, MLflow, or Kubeflow for workflow and ML lifecycle orchestration.

bullet icon

Cloud platform experience with Azure (AKS, networking, storage, monitoring)

Other
seniority icon

Languages

English: C1 Advanced

seniority icon

Seniority

Senior

Pune, India

Req. VR-115893

AI/ML

BCM Industry

19/09/2025

Req. VR-115893

Apply for ML Platform Engineer in Pune

*Indicates a required field

Under the terms of your specific consent or to perform our obligations under a contract with you, as applicable, we, Luxoft Holding Inc. will manually and electronically process your personal data, specifically your first name, last name, phone number, e-mail address and other data you provide us through this form.


Within this context, we process personal data only for the specific purpose(s) indicated in the individual consent language or other notices provided below.


We will – insofar as reasonably necessary for the purpose you have agreed to and within the scope of applicable laws – transfer your personal data to other entities within the Luxoft Group and to the group of third party recipients listed in our Privacy Notice. Such Recipients can be located outside the European Union (EU) and/or the European Economic Area (EEA) (“Third Countries”). The Third Countries concerned, e.g. the USA, may not have the level of data protection that you enjoy e.g. under the GDPR. This can result in disadvantages such as an impeded enforcement of data subjects’ rights, a lack of control over further processing and access by state authorities. You may only have limited legal remedies against this. Insofar our transfer of your personal data to recipients in Third Countries is not covered by an adequacy decision of the EU Commission, we achieve an adequate level of data protection as further detailed out in our Privacy Notice.


With your consent, we personalise marketing communications to you by way of carrying out marketing research analysis, analysing the surfing-behaviour of our website visitors and to adjust it to their detected tendencies, as well as to plan more efficient future marketing activities. This personalised marketing does not include any automated decision-making activities.


Further information on how we process personal data in general is available in our Privacy Notice. You may withdraw any given consent at any time. The withdrawal of your consent(s) will not affect the lawfulness of processing before its withdrawal. For any request in this context, please e-mail us at: DPO@luxoft.com.


Before uploading CV or any other information to this website, to learn more about your obligations and restrictions arising from the use of this website, please read our Terms of Use.