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Persistent Systems is an Indian multinational technology services company which was incorporated on 16 May 1990. Persistent Systems is listed on the Bombay Stock Exchange and the National Stock Exchange. Shares in the company were listed on the National Stock Exchange of India in March 2010.
Persistent Systems Careers Opportunities for Graduate Entry Level to Experience Professional, Persistent Systems Jobs Openings in 2024, Persistent Systems Graduate Hiring 2024
Careers at Persistent Systems ( 2 – 10 yrs)
Project Management Officer – India
Are you a Project Management Officer with over 2 years of experience?
An exciting opportunity awaits you at Manyata Tech Park, Bangalore with 5 days of work from office.
Budget 6 LPA
We are looking for a candidate skilled in stakeholder management, data management, PPT presentation, business insights analysis, and proficient in Macros, VBA, and Advanced Excel. Strong communication abilities are a must.
Only Immediate joiners wanted for this contract to hire position.
If you have 2+ years of experience and meet these qualifications, reach out to us at [email protected] to take your career to the next level! Apply now!
For more details to apply, Click here!
AL ML Engineer
Location: Bengaluru
Experience: 2-6 years
Job Description:
• Fine-tuning generative AI models to enhance performance.
• Designing AI Agents for conversational AI applications.
• Experimenting with new techniques to develop models for observability use cases
• Building and maintaining inference pipelines for efficient model deployment.
• Managing deployment and model versioning pipelines for seamless updates.
• Developing tooling to continuously validate models in production environments.
Qualification:
• 2-6 Years Demonstrated proficiency in software engineering design practices.
• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related
field. Advanced degree (Master’s or Ph.D.) preferred.
• Experience working with transformer models and text embeddings.
• Proven track record of deploying and managing ML models in production environments.
• Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace
Transformers, and SpaCy.
• Preferred experience developing production-grade applications in Python.
• Proficiency in Kubernetes and containers.
• Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon.
• Expertise in Python, C++, Kotlin, or similar programming languages.
• Experience designing, developing, and testing scalable distributed systems.
• Familiarity with message broker systems (e.g., Kafka, RabbitMQ).
• Knowledge of application instrumentation and monitoring practices.
• Experience with ML workflow management, like AirFlow, Sagemaker, etc.
• Familiarity with the AWS ecosystem.
• Past projects involving the construction of agentic language chains.
For more details to apply, Click here!
ALFABET-REST API Development
As a REST API Developer specializing in Alfabet, the role focuses on creating, maintaining, and optimizing RESTful web services and integrations related to the Alfabet platform.
Role: ALFABET-REST API Development
Location: PAN India
Experience: 3-10 years
ALFABET – REST API Development-Need a core developer for junior or mid-level position.
Experience in Alfabet Framework
Experience in REST API.
Experience in Coding.
Job Description:
API Development – Design, develop, and maintain RESTful APIs to integrate Alfabet with other systems and applications.
Ensure APIs are scalable, secure, and adhere to best practices in RESTful architecture.
Integration – Collaborate with cross-functional teams to define and implement integration requirements.
Develop and manage API-based integrations between Alfabet and other enterprise systems (e.g., ERP, CRM, ITSM).
Customization & Configuration – Customize Alfabet solutions through API development to meet specific business needs.
Configure Alfabet APIs to enable seamless communication between different software components.
Documentation & Testing – Create detailed documentation for APIs, including specifications, usage instructions, and troubleshooting guides.
Perform unit and integration testing to ensure APIs function as expected.
Debug and resolve issues related to API performance and reliability.
Support & Maintenance – Provide ongoing support for API-related issues, including troubleshooting and resolving integration problems.
Monitor and optimize the performance of APIs to ensure they meet service-level agreements (SLAs).