Ghorpadi Pune Maharashtra Senior machine learning platform engineer Jobs – 169 Open Jobs Today

Senior Staff Engineer, Machine Learning Platform
PubMatic —Pune, Maharashtra
- Computer Science
- PMP
- Java
Senior Machine Learning Engineer
Saaki Argus & Averil Consulting —Pune, Maharashtra
- Full-time
- Computer Science
- Salesforce
- Master's degree
Quick apply
Senior Machine Learning Engineer
Siemens —Pune, Maharashtra
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
12d
Senior Computer Vision Machine Learning Engineer
Codvo.ai —Pune, Maharashtra
- Remote
- Computer Science
- Master's degree
- C++
- Flexible schedule
Senior Platform Engineer – Vice President
Barclays —Pune, Maharashtra
- Java
- AWS
- APIs
Industrial Engineer - Senior
Cummins Inc. —Pune, Maharashtra
- SQL
- Bachelor's degree
- Machine learning
13d
Senior AI/ Machine Learning Engineer
Aera Technology —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
- Paid time off
9d
Splunk Engineer / Senior Splunk Engineer
Giesecke+Devrient —Pune, Maharashtra
- Full-time
- Oracle
- Computer Science
- Software troubleshooting
Platform Engineer - Cloud
Barclays —Pune, Maharashtra
- AWS
- Machine learning
- Communication skills
Senior Database Engineer - Platform Engineering
IntegriChain —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Oracle
- Databases
- Health insurance
- Paid time off
Quick apply
Senior Data Engineer
Data Axle —Pune, Maharashtra
- Computer Science
- Research
- SQL
12d
Senior Data Engineer, Palantir
Owens & Minor India Private Limited —Pune, Maharashtra
- Full-time
- Computer Science
- Software troubleshooting
- Data analysis skills
Quick apply
Senior Databricks Engineer
Codvo.ai —Pune, Maharashtra
- Full-time
- AWS
- Machine learning
- APIs
Senior Snowflake Data Engineer
EPAM Systems, Inc. —Pune, Maharashtra
- Azure
- SQL
- AWS
- Health insurance
- Paid time off
Senior Data Engineer
Workday —Pune, Maharashtra
- Full-time
- Azure
- Java
- SQL
- Flexible schedule
7h
Senior Project Engineer - PLC Programmer
Atlas Copco Group —Pune, Maharashtra
- AutoCAD
- Microsoft Excel
- PMP
- Health insurance
Senior Automation Engineer - Embedded
Steris —Pune, Maharashtra
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Senior Product Manager, AI Platform
QAD, Inc. —Pune, Maharashtra
- Full-time
- Hybrid work
- Management
- ERP systems
- Master's degree
Quick apply
Senior Site Reliability Engineer
Mastercard —Pune, Maharashtra
- Full-time
- Azure
- Oracle
- Computer Science
Senior Software Engineer - DevOps & MLOps Engineer (GCP)
CGI —Pune, Maharashtra
- Full-time
- Computer Science
- DevOps
- Master's degree
Quick apply

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Senior Staff Engineer, Machine Learning Platform

PubMatic -
Pune, Maharashtra

Apply Now

Job details

Qualifications

CI/CD
Computer Science
Kubernetes
PMP
Big data
Spark
NumPy
Java
Master's degree
SQL
Pandas
Analysis skills
Docker
Bachelor's degree
Machine learning
Distributed systems
Scala
Continuous integration
SDKs
Data analytics
APIs
Kafka
AI
Communication skills
Python
Debugging
Hadoop

Full job description

About the Role

At PubMatic, data operates at an unmatched scale. As a Senior ML Platform Engineer, you will design and scale the infrastructure and frameworks that enable machine learning development, experimentation, and production across a global ecosystem, handling trillions of ad impressions. You will collaborate closely with ML Engineers, Data Scientists, and Product stakeholders to accelerate experimentation, maximize efficiency, and translate AI solutions from concept to production.

This role offers direct exposure to petabyte-scale datasets, industry-standard ML efficiency tools (e.g., Triton inference, GPU/accelerated computing), and the opportunity to evaluate and adopt emerging AI/ML technologies. You will contribute to the next-generation ML platform for adtech, enabling advanced use cases such as troubleshooting issues in bid stream, competitive intelligence, benchmarking, forecasting, reinforcement learning, and retrieval-augmented generation (RAG), while also establishing foundational capabilities like embeddings and observability frameworks.

What You'll Do

Platform Development: Design and maintain scalable ML pipelines and platforms for ingestion, feature engineering, training, evaluation, inference, and deployment.
Big Data & Analytics: Build and optimize large-scale data workflows using distributed systems (Spark, Hadoop, Kafka, Snowflake) to support analytics and model training.
Experimentation & Observability: Develop frameworks for experiment tracking, automated reporting, and observability to monitor model health, drift, and anomalies.
Work with industry-standard ML efficiency tools to optimize training workloads, accelerate experiments, and monitor performance at scale.
AI/ML Enablement: Provide reusable components, SDKs, and APIs that empower teams to leverage AI insights and ML models effectively.
Automation: Drive CI/CD, workflow orchestration, and infrastructure-as-code practices for ML jobs, ensuring reliability and reproducibility.
Collaboration: Partner cross-functional with Product, Data Science, and Engineering teams to align ML infrastructure with business needs.
Innovation: Stay ahead of emerging trends in Generative AI, ML Ops, and Big Data to introduce best practices and next-gen solutions.
Impact & Growth Opportunities: Work with petabyte-scale datasets and billions of transactions, powering global AdTech.
Apply AI/ML to deal troubleshooting, competitive intelligence, benchmarking, forecasting, and actionable insights.
Build advanced frameworks such as RAG systems, reinforcement learning strategies, and embedding platforms.
Convert business challenges into ML products, pioneering industry-first solutions.
Gain hands-on exposure to GPU/accelerated computing, Triton inference, and modern ML Ops frameworks.
Advance your career with a clear growth path into applied ML engineering and research.
Be part of a culture that values experimentation, thought leadership, and cross functional collaboration.

We'd Love for You to Have

Experience of 5 to 10 years of hands on experience with petabyte-scale datasets and distributed systems.
Data Analytics: Proficiency in SQL, Python (pandas, NumPy), and analytics/BI tools for data exploration and monitoring.
Private Marketplace (PMP) & Deal Optimization: Strong understanding of Programmatic Advertising and Private Marketplace (PMP) ecosystems, including deal performance analytics, audience targeting, inventory optimization, and KPI driven marketplace optimization.
Familiarity with BI tools such as Looker or Grafana.
A passion for applied AI/ML and eagerness to bring research ideas into production.
Big Data: Strong expertise with Spark, Hadoop, Kafka, and data warehousing (Snowflake, SparkSQL).
ML Ops/Infrastructure: Experience with CI/CD, Docker, Kubernetes, Airflow/MLflow, and experiment tracking tools.
Programming: Skilled in Python/Scala/Java for data-intensive applications.
Problem Solving: Strong analytical skills and ability to debug complex data/ML pipeline issues.
Collaboration: Excellent communication and teamwork skills in cross-functional settings.

Qualifications

Education: Bachelor's or master's in computer science, Data Engineering, or related field

Apply Now

Refine Your Search

senior machine learning platform engineer jobs in ghorpadi pune maharashtra

Senior Staff Engineer, Machine Learning Platform

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Computer Vision Machine Learning Engineer

Senior Platform Engineer – Vice President

Industrial Engineer - Senior

Senior AI/ Machine Learning Engineer

Splunk Engineer / Senior Splunk Engineer

Platform Engineer - Cloud

Senior Database Engineer - Platform Engineering

Senior Data Engineer

Senior Data Engineer, Palantir

Senior Databricks Engineer

Senior Snowflake Data Engineer

Senior Data Engineer

Senior Project Engineer - PLC Programmer

Senior Automation Engineer - Embedded

Senior Product Manager, AI Platform

Senior Site Reliability Engineer

Senior Software Engineer - DevOps & MLOps Engineer (GCP)

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