No. of Openings 4
Experience 4 To 6 Year(s)
Skill set Generative AI, LLM, RAG, Model Fine-tuning, Deep-Learning, Transformers (Please interview internally and Upload only pre-vetted profiles)
Domain knowledge Experience:
o Proven experience in developing and working with state-of-the-art large language models (LLMs) such as GPT, BERT, T5, or other transformer-based models.
o Strong expertise in training, fine-tuning, and optimizing LLMs for real-world applications.
o Hands-on experience with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.
o Experience with advanced techniques in NLP such as attention mechanisms, transfer learning, and few-shot learning.
o Practical knowledge of deploying AI models at scale in production environments.
• Skills:
o Expertise in deep learning and machine learning algorithms, particularly in the context of generative models.
o Proficiency in programming languages like Python, and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and others.
o Familiarity with cloud-based solutions and tools (AWS, GCP, or Azure) for scalable model training and deployment.
o Knowledge of distributed computing and parallelism for large-scale training.
Job Description As a Generative AI Engineer specialized in Large Language Models (LLMs), you will work on developing, implementing, and optimizing state-of-the-art generative models that tackle a wide range of complex challenges in AI. You will be part of a multidisciplinary team pushing the frontiers of language understanding and generation, contributing to the research, development, and deployment of large-scale AI systems that can generate coherent, contextually aware, and human-like text.
Key Responsibilities:
• Research & Development: Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures.
• Model Design & Implementation: Design, implement, and optimize LLM architectures for text generation, completion, summarization, and other NLP tasks.
• Training & Fine-Tuning: Conduct training and fine-tuning of large-scale models on specialized datasets, leveraging modern machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Optimization: Work on scaling, optimizing, and improving the efficiency of large models, including distributed training, parallelism, and hardware acceleration (GPUs, TPUs).
• Deployment & Integration: Collaborate with engineering teams to integrate generative models into production systems and applications, ensuring the scalability, robustness, and efficiency of deployed models.
Responsibilities
No. of Openings 4
Experience 4 To 6 Year(s)
Skill set Generative AI, LLM, RAG, Model Fine-tuning, Deep-Learning, Transformers (Please interview internally and Upload only pre-vetted profiles)
Domain knowledge Experience:
o Proven experience in developing and working with state-of-the-art large language models (LLMs) such as GPT, BERT, T5, or other transformer-based models.
o Strong expertise in training, fine-tuning, and optimizing LLMs for real-world applications.
o Hands-on experience with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.
o Experience with advanced techniques in NLP such as attention mechanisms, transfer learning, and few-shot learning.
o Practical knowledge of deploying AI models at scale in production environments.
• Skills:
o Expertise in deep learning and machine learning algorithms, particularly in the context of generative models.
o Proficiency in programming languages like Python, and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and others.
o Familiarity with cloud-based solutions and tools (AWS, GCP, or Azure) for scalable model training and deployment.
o Knowledge of distributed computing and parallelism for large-scale training.
Job Description As a Generative AI Engineer specialized in Large Language Models (LLMs), you will work on developing, implementing, and optimizing state-of-the-art generative models that tackle a wide range of complex challenges in AI. You will be part of a multidisciplinary team pushing the frontiers of language understanding and generation, contributing to the research, development, and deployment of large-scale AI systems that can generate coherent, contextually aware, and human-like text.
Key Responsibilities:
• Research & Development: Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures.
• Model Design & Implementation: Design, implement, and optimize LLM architectures for text generation, completion, summarization, and other NLP tasks.
• Training & Fine-Tuning: Conduct training and fine-tuning of large-scale models on specialized datasets, leveraging modern machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Optimization: Work on scaling, optimizing, and improving the efficiency of large models, including distributed training, parallelism, and hardware acceleration (GPUs, TPUs).
• Deployment & Integration: Collaborate with engineering teams to integrate generative models into production systems and applications, ensuring the scalability, robustness, and efficiency of deployed models.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Driving P0/P1 war rooms end to end
24×7 command center leadership for critical outages
Strong understanding of infra, cloud, app, DB, network components
Root cause analysis facilitation & PIR documentation
SLA governance & stakeholder communication
Ability to coordinate multiple vendors + cross functional teams
Knowledge of ITIL processes (Incident / Problem / Change)
Experience with high availability / payments / BFSI environments
Expertise in handling incident severity matrices
Skilled in real time triage, impact assessment, escalation, recovery planning
Hands on experience with monitoring & logging tools (Prometheus, Grafana, EFK, Splunk, ServiceNow/Jira etc.)
• ITIL certification (preferably ITIL v3 Foundation or ITIL 4) or other relevant certifications.
• Experience with automated incident management and orchestration tools.
• Background in systems engineering, network operations, or application support.
• Experience with business continuity planning and disaster recovery processes.
ECMS REQ ID
559242
Project Location 1
MAH | PUNE
Project Location 2
TN | CHENNAI
Project Location 3
(No Value)
Project Location 4
(No Value)
Delivery SPOC
rutuja.powar@infosys.com
Relevant Experience
8
Mandatory skills
• ITIL certification (preferably ITIL v3 Foundation or ITIL 4) or other relevant certifications.
• Experience with automated incident management and orchestration tools.
• Background in systems engineering, network operations, or application support.
• Experience with business continuity planning and disaster recovery processes.
Desired skills
Major Incident Manager(MIM) with ITIL
Domain (Industry)
Banking
BGC (Before onboarding / After onboarding)
PreOB
Total Experience (Ex. 5-7 Years)
8
BGC Details
NA
BGC Vendor
NA
Mode of Interview
Face to Face
WFO / WFH / Hybrid
WFO
Please enter shift timings
24*7
Shift Timings
Others
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
atabricks, PySpark,Python ( Good to have Azure/AWS data services knowledge)
Role: Lead a team of data engineers and do data migration from AWS to Databricks.
Responsibilities
Lead and mentor the data engineering team.
Design and develop data pipelines using Databricks (and identify underlying AWS Data Services).
Usage of DBX DLT in migration.
Develop automation and transformation logic using Python.
Build and optimize data models, ETL/ELT workflows, and Lakehouse/Delta Lake solutions.
Ensure data quality, performance, and adherence to governance and security standards.
Collaborate with stakeholders and ensure timely project delivery.
Required Skills
Strong hands‑on experience with Databricks, SQL, and pySpark/ Python.
2+ years leading teams or owning end‑to‑end delivery.
Strong communication, problem‑solving skills.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities Perform end-to-end migration from SharePoint 2013 to SharePoint Online, including content, workflows, and custom solutions. Develop and maintain solutions using C# and .NET frameworks. Design and implement custom components using SharePoint Framework (SPFx). Build, enhance, and troubleshoot automated workflows using Power Automate. Work with the SharePoint Add-in/App Model (Provider-hosted and SharePoint-hosted apps). Collaborate with business and technical teams to gather requirements, provide technical solutions, and ensure smooth migration and deployment activities. Required Skills & Experience Strong experience in SharePoint 2013 and SharePoint Online migration projects. Proficiency in C#, .NET, REST APIs, and CSOM/JSOM. Hands-on experience with SPFx (React/Typescript) development. Expertise in creating automations using Power Automate. Good understanding of SharePoint App Models and modern SharePoint concepts. Ability to troubleshoot issues, optimize performance, and deliver scalable solutions.
Responsibilities
Key Responsibilities Perform end-to-end migration from SharePoint 2013 to SharePoint Online, including content, workflows, and custom solutions. Develop and maintain solutions using C# and .NET frameworks. Design and implement custom components using SharePoint Framework (SPFx). Build, enhance, and troubleshoot automated workflows using Power Automate. Work with the SharePoint Add-in/App Model (Provider-hosted and SharePoint-hosted apps). Collaborate with business and technical teams to gather requirements, provide technical solutions, and ensure smooth migration and deployment activities. Required Skills & Experience Strong experience in SharePoint 2013 and SharePoint Online migration projects. Proficiency in C#, .NET, REST APIs, and CSOM/JSOM. Hands-on experience with SPFx (React/Typescript) development. Expertise in creating automations using Power Automate. Good understanding of SharePoint App Models and modern SharePoint concepts. Ability to troubleshoot issues, optimize performance, and deliver scalable solutions.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Maintaining database health through daily checks, proactive monitoring, and timely response to issues.
• Ensuring backup, restore, and retention hygiene for all critical Endur databases, safeguarding our RPO and RTO targets.
• Managing performance stability—including indexing, statistics, TempDB configuration, and query performance triage.
• Resolving blocking, deadlocks, and capacity issues quickly and with clear communication to app teams.
• Upholding design and operational standards, ensuring consistency across environments and preventing drift.
• Partnering with IaaS/Platform Engineering teams to maintain patching, availability groups, and infrastructure-level readiness.
Basically, the person who ensures the database environment remains predictable, safe, compliant, and ready for Endur operations always.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
