Aundh Pune Maharashtra Senior data scientist Jobs – 45 Open Jobs Today

Lead/Senior Domino Data Lab with Python
EPAM Systems, Inc. —Pune, Maharashtra
- Azure
- Laboratory experience
- Databases
- Health insurance
- Paid time off
Process Manager
Eclerx —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Data analysis skills
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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Symbiosis International University —Pune, Maharashtra
*M.E./M.Tech in Civil Engineering, Construction Management, Project Management, or related field* will be an advantage.
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Kimberly-Clark —Kharadi, Pune, Maharashtra
You are a hands-on project professional with experience delivering business transformation, transition, or process improvement initiatives.
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Lead/Senior Domino Data Lab with Python

EPAM Systems, Inc. -
Pune, Maharashtra

Apply Now

Job details

Benefits

Health insurance
Paid time off

Qualifications

CI/CD
Azure
Node.js
Kubernetes
Software deployment
Enterprise Software
NumPy
Laboratory experience
Git
Databases
Pandas
AWS
Docker
Machine learning
Continuous integration
REST
Scripting
Django
Software development
APIs
Data science
Flask
Python

Full job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking an experienced Lead/Senior Domino Data Lab Engineer with strong Python expertise to design, develop, and deploy scalable data science applications and machine learning solutions. In this role, you will leverage the Domino Data Lab platform to build production-ready models, collaborate with cross-functional teams, and drive best practices across the ML lifecycle.

Responsibilities

Design, develop, and deploy applications and machine learning models on the Domino Data Lab platform
Build and maintain Python-based solutions using modern frameworks and libraries
Develop REST APIs to expose models and services for enterprise consumption
Manage Domino Projects, Workspaces, Jobs, and Environments to support data science workflows
Implement MLOps practices covering model deployment, monitoring, and productionization
Collaborate with data scientists, engineers, and stakeholders to translate business needs into technical solutions
Integrate applications with various databases and data sources
Establish CI/CD pipelines and containerization strategies for reliable delivery
Mentor junior team members and promote software development best practices
Ensure the reliability, scalability, and performance of deployed models and services

Requirements

5-14 years of professional software/data engineering experience
Strong hands-on expertise in Domino Data Lab, including Projects, Workspaces, Jobs, and Environments
Proficiency in Python development and scripting
Skills in Pandas, NumPy, and Scikit-learn or similar Python libraries
Experience developing REST APIs with FastAPI, Flask, or Django
Understanding of MLOps principles and the end-to-end ML model lifecycle
Knowledge of Git, Docker, and CI/CD workflows
Familiarity with cloud platforms such as AWS, Azure, or GCP
Background in model deployment, monitoring, and productionization
Capability to work with databases and data integration solutions
Understanding of software development best practices

Nice to have

Experience with Node.js
Familiarity with Kubernetes for orchestration
Exposure to MLOps or Machine Learning platform tooling
Background in Jupyter or similar Data Science environments
Experience with enterprise application integration

We offer

Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Apply Now

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Lead/Senior Domino Data Lab with Python

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