Pimpri Colony Pune Maharashtra Senior data scientist Jobs – 51 Open Jobs Today

Senior Machine Learning Engineer
Saaki Argus & Averil Consulting —Pune, Maharashtra
- Full-time
- Computer Science
- Salesforce
- Master's degree
Quick apply
Process Manager
Eclerx —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Data analysis skills
Python GenAI Lead Engineer - Assistant Vice President
Citi —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
GenAI Engineer
Citi —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
1d
Apprentice-IT
Eaton —Pune, Maharashtra
- Azure
- Computer Science
- Engineering
Python GenAI Developer - Assistant Vice President
Citi —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Sr. AI Lead
EDMO —Pune, Maharashtra
- Full-time
- Salesforce
- Java
- Master's degree
Quick apply
Senior Machine Learning Platform Engineer
PubMatic —Pune, Maharashtra
- Hybrid work
- Engineering
- Java
- SQL
- Health insurance

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Senior Data Analyst
Earthcon infotech —Chinchwad, Pune, Maharashtra
Build dashboards, charts, and reports that simplify data findings for both technical and non-technical audiences. Pay: ₹18,989.86 - ₹32,355.62 per month.
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Senior Data Analyst
Advanced Energy Industries, Inc. —Pune, Maharashtra
Collaborate with technical teams to design solutions that balance business requirements, scalability, and system performance. Ways to Stand Out from the Crowd.
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Senior Machine Learning Engineer

Saaki Argus & Averil Consulting
Pune, Maharashtra

Quick apply

Job details

Full-time

Qualifications

Jira
CI/CD
Computer Science
Software deployment
Salesforce
Git
Master's degree
SQL
AWS
Quality assurance
Machine learning
Confluence
Terraform
Continuous integration
Scrum
Software development
Unity
GitHub
Agile
S3
Data science
DynamoDB
Cybersecurity
SAP ERP
GitLab
Python

Full job description

Job Title: Senior Machine Learning Engineer

Location: Pune, India

Department: Enterprise Data & Analytics Advanced Analytics Team

Employment Type: Full-time

About the Role:

We are looking for a Senior Machine Learning Engineer to join our Advanced Analytics IT Product Team. The team is responsible for developing cutting-edge data and analytics products that empower business functions to make smarter, data-driven decisions.

This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems, building scalable solutions, and working with cross-functional teams in a dynamic global environment.

Responsibilities:

Design, build, test, deploy, and maintain machine learning and AI solutions across business domains.
Collaborate with data scientists, engineers, and product teams to deliver reliable, production-grade ML pipelines.
Develop data models, algorithms, and integrate them into enterprise-grade applications.
Ensure solutions are secure, compliant, and follow industry best practices.
Continuously improve ML products based on real-world performance metrics and feedback.
Participate in code reviews, solution design, and incident resolution.
Document technical designs and contribute to internal knowledge sharing.
Lead ML engineering practices, mentor junior team members, and support agile development activities such as sprint planning and retrospectives.

Qualifications:

Education & Experience:

Master's degree in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related field.

46 years of hands-on experience in machine learning, data science, or data engineering.

Technical Skills:

Strong experience with AWS services: S3, DynamoDB, CloudFormation, CDK, Route53, AppFlow. AWS certifications are a plus.
Hands-on experience with Databricks: PySpark, MLFlow, Unity Catalog, orchestration workflows. Databricks certifications preferred.
Proficient in Python, SQL, and DBT.
Familiar with tools like GitHub/GitLab, Airflow, and Terraform.
Solid understanding of enterprise data (structured, unstructured, transactional, metadata) and integrations with systems like SAP ERP, Salesforce, and product data platforms.
Strong foundation in CI/CD, testing practices, and production-grade software development.
Experience with infrastructure-as-code, version control, and deployment automation.
Knowledge of data privacy, cybersecurity, and regulatory compliance.
Serve as the technical expert for ML engineering within the team.
Drive architecture and design improvements for scalability and efficiency.
Lead quality assurance activities, conduct code reviews, and ensure adherence to development standards.
Guide and mentor junior engineers and contribute to capability building.
Take on additional responsibilities such as Scrum Master or task force lead when needed.
Agile working methodology with tools such as Jira, Confluence, and draw.io.
Global, multi-cultural team focused on transparency, collaboration, and continuous learning.
Encouraged to be self-organized, courageous, and solutions-oriented.

Quick apply

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