65 Job openings found

3 Opening(s)
4.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Python Developers Looking for product experts with the below skills Required skills: Python 3. x and above, Django, Linux, MySQL, or Postgresql Preferred skills: Rest API, Microservices, SQLAlchemy, WSGI or ASGI, Python package management (Pip, Anaconda), Pytest or Unittest or Nose2, AWS (EC2), Docker Nice to have skills: Java ? ...
5 Opening(s)
3.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 18.00 LPA
Responsibilities:   - Design and Build backend of High-Availability scalable systems. - Able to integrate and work with multiple data sources / databases  and creating data pipelines - Building server-side logic that powers our APIs in production systems on AWS that can scale. - Collaborate with other team members to engineer creative solutions to unique ...
1 Opening(s)
0 To 2.0 Year(s)
1.00 LPA TO 2.50 LPA
Responsibility Writing reusable, testable, and efficient code Design and implementation of low-latency, high-availability, and performance applications Implementation of security and data protection Integration of data storage solutions Skills and Qualifications Expert in Python, with knowledge of Python web framework i.e. Django Familiarity with ORM (Object Relational Mapper) libraries Able to integrate multiple data sources and databases into one system Good knowledge of ...
4 Opening(s)
5.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 18.00 LPA
    Roles & Responsibility Understand and internalize the product vision and detailed requirements as communicated by the Head of Product and CTO. Architect, design, and develop advanced backend services for our AI-powered market research platform using core Python, advanced Python, and frameworks such as Flask MVC, Django Rest API, and Fast API. Implement robust information ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
12.00 LPA TO 15.00 LPA
Responsibilities -- Continuously deliver rapid and consistent software and services that delight and engage our customers in tight collaboration with product managers, clients, and other members of the team- Actively participate and contribute to all aspects of the software development lifecycle including: brainstorm, architecture, design and technical tradeoffs and prioritization, ...
3 Opening(s)
8.0 Year(s) To 12.0 Year(s)
15.00 LPA TO 32.00 LPA
level 8  Role : AI/ML - R&D Developer PhD(Computers background) from premium institution only Corporate experience with team handling experience of 2-3 people Should have experience in delivering end to end AI project(with a team of 2-3 people) Excellent communication and presentation skills   Converting a business problem into tractable technical problems Design scalable architecture for technical ...
3 Opening(s)
3.5 Year(s) To 5.5 Year(s)
7.00 LPA TO 11.00 LPA
Role :    Application Developer        Role Description :    Design, build and configure applications to meet business process and application requirements.                                                      ...
3 Opening(s)
2.5 Year(s) To 3.5 Year(s)
5.00 LPA TO 7.00 LPA
Role : Application Developer  Role Description : Design, build and configure applications to meet business process and application requirements.  Must have Skills : SAP Callidus Configuration and Development,Callidus TrueComp  Good to Have Skills :    Job Requirements :    Key Responsibilities :   a: The person will be responsible for ...
1 Opening(s)
3.0 Year(s) To 6.0 Year(s)
5.00 LPA TO 7.00 LPA
KPI - Understand the ``Why” for each feature and module. Improve the existing codebase by using thoughtful design patterns, setting technological standards, and using best industry practices in implementation.   Responsibilities - Develop and maintain new features for Client Lifecycle management tool Responsible for designing, developing, and deploying new features and frameworks, focusing on high-performance implementations ...
5 Opening(s)
3.0 Year(s) To 7.0 Year(s)
4.00 LPA TO 9.00 LPA
Jon Description Job title Location Experience Budget Data Analyst - Python CHENNAI 3 – 7 Yrs till 9 lpa   Work Scope:      Use statistical analysis, machine learning, pattern recognition, and data visualization along with domain knowledge and subject-specific models to solve science, engineering, and commercial problems Solve challenging data science problems by developing novel and/or adapting existing computational methods Debugging and performance tweaking ...

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