As a Packaged/SaaS Application Engineer, you will engage in the configuration and support of packaged or Software as a Service applications. Your typical day will involve adapting features to meet business requirements, managing application releases, and ensuring the stability of systems. You will utilize standard tools, application programming interfaces, and low-code platforms to align solutions with organizational needs while maintaining compatibility and performance across various environments. Collaboration with cross-functional teams will be essential to ensure that the applications meet the evolving demands of the business landscape. Key Responsibilities Strong knowledge on Azure IaaS and PaaS Services. Strong knowledge on AWS and App Stream Service. Strong knowledge on Terraform and Devops tools.Knowledge on Citrix issue troubleshooting and remote support for end user issues. Detailed knowledge on Windows server OS and end user device management. Coordination with vendor on getting support as required. Knowledge and working experience on hypervisor such as Hyper-V is added advantage. Provide L1+ support to Delivery BAU teams on escalated issues. Knowledge on Azure VDI infrastructure is added advantage. Good to have skills: Hands on experience on Microsoft Hyper-V virtualization platform, Azure cloud and AWS Cloud platforms. Knowledge on Azure Virtual desktop. AWS and Azure AZ900/AZ104 certificates. Knowledge on backup tool (Commvault, Snap manager) and Patching tool (Blade Logic). Technical Experience Minimum 4 Years of experience in Azure and AWS cloud technologies, who is passionate about technology. Expertise in Citrix Xen Desktop 7.X and Azure VDI.knowledge in different Citrix technologies like XenApp, Xen Desktop, StoreFront, Provisioning services, Licensing, Studio, Web interface. Experience in PowerShell scripting or of any Scripting language. Good to have any certifications along with ITIL. Professional Attributes Good Communication skills, Good interpersonal skills and flexible to work in shifts 24/7.
Responsibilities
As a Packaged/SaaS Application Engineer, you will engage in the configuration and support of packaged or Software as a Service applications. Your typical day will involve adapting features to meet business requirements, managing application releases, and ensuring the stability of systems. You will utilize standard tools, application programming interfaces, and low-code platforms to align solutions with organizational needs while maintaining compatibility and performance across various environments. Collaboration with cross-functional teams will be essential to ensure that the applications meet the evolving demands of the business landscape. Key Responsibilities Strong knowledge on Azure IaaS and PaaS Services. Strong knowledge on AWS and App Stream Service. Strong knowledge on Terraform and Devops tools.Knowledge on Citrix issue troubleshooting and remote support for end user issues. Detailed knowledge on Windows server OS and end user device management. Coordination with vendor on getting support as required. Knowledge and working experience on hypervisor such as Hyper-V is added advantage. Provide L1+ support to Delivery BAU teams on escalated issues. Knowledge on Azure VDI infrastructure is added advantage. Good to have skills: Hands on experience on Microsoft Hyper-V virtualization platform, Azure cloud and AWS Cloud platforms. Knowledge on Azure Virtual desktop. AWS and Azure AZ900/AZ104 certificates. Knowledge on backup tool (Commvault, Snap manager) and Patching tool (Blade Logic). Technical Experience Minimum 4 Years of experience in Azure and AWS cloud technologies, who is passionate about technology. Expertise in Citrix Xen Desktop 7.X and Azure VDI.knowledge in different Citrix technologies like XenApp, Xen Desktop, StoreFront, Provisioning services, Licensing, Studio, Web interface. Experience in PowerShell scripting or of any Scripting language. Good to have any certifications along with ITIL. Professional Attributes Good Communication skills, Good interpersonal skills and flexible to work in shifts 24/7.
Salary : Rs. 0.0 - Rs. 2,16,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Keywords to Search : AI/ML,LLM, Deep learning.
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
Keywords to Search : AI/ML,LLM, Deep learning.
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
Business Analyst- Health care~
Role Descriptions: 6-8 years of Business Analysis experience with Pharmacy experience is must. Experience working on Specialty pharmacy line of business is must. Proven ability to multitask and manage multiple project deadlines. Ability to map out complex operational processes Retail background is an asset but not Mandatory Ability to analyze data and provide business with recommendations based on trends and opportunities highlighted. Strong written and oral communication skills| strong interpersonal skills| must be extremely detail oriented. Previous experience with JIRA| Confluence| Wireframing Experience in data analytics| tracking| reporting tools - SQL| Tableau Microsoft Access Strong business acumen related to pharmacy is an asset Agile methodology is an asset PMP and or CBAP is an asset
Essential Skills: 6-8 years of Business Analysis experience with Pharmacy experience is must. Experience working on Specialty pharmacy line of business is must. Proven ability to multitask and manage multiple project deadlines.Ability to map out complex operational processesRetail background is an asset but not MandatoryAbility to analyze data and provide business with recommendations based on trends and opportunities highlighted.Strong written and oral communication skills| strong interpersonal skills| must be extremely detail oriented.Previous experience with JIRA| Confluence| WireframingExperience in data analytics| tracking| reporting tools - SQL| Tableau Microsoft AccessStrong business acumen related to pharmacy is an assetAgile methodology is an assetPMP and or CBAP is an asset
Responsibilities
Business Analyst- Health care~
Role Descriptions: 6-8 years of Business Analysis experience with Pharmacy experience is must. Experience working on Specialty pharmacy line of business is must. Proven ability to multitask and manage multiple project deadlines. Ability to map out complex operational processes Retail background is an asset but not Mandatory Ability to analyze data and provide business with recommendations based on trends and opportunities highlighted. Strong written and oral communication skills| strong interpersonal skills| must be extremely detail oriented. Previous experience with JIRA| Confluence| Wireframing Experience in data analytics| tracking| reporting tools - SQL| Tableau Microsoft Access Strong business acumen related to pharmacy is an asset Agile methodology is an asset PMP and or CBAP is an asset
Essential Skills: 6-8 years of Business Analysis experience with Pharmacy experience is must. Experience working on Specialty pharmacy line of business is must. Proven ability to multitask and manage multiple project deadlines.Ability to map out complex operational processesRetail background is an asset but not MandatoryAbility to analyze data and provide business with recommendations based on trends and opportunities highlighted.Strong written and oral communication skills| strong interpersonal skills| must be extremely detail oriented.Previous experience with JIRA| Confluence| WireframingExperience in data analytics| tracking| reporting tools - SQL| Tableau Microsoft AccessStrong business acumen related to pharmacy is an assetAgile methodology is an assetPMP and or CBAP is an asset
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Title: KYC Analyst
Desired Candidature:
• Ability to perform KYC analysis on clients by conducting risk analysis using various FCCR Tool and chalk out review findings applying human decisioning to validate customer risk scorings.
• Experience of KYC analysis in a remediation/periodic review or on-boarding environment is essential
• Capable to recommend proactive measures to minimize deficiencies having a regulatory and reputational risk impact
Job Description:
• Ensuring KYC checks by applying relevant Enhanced Due Diligence measures for attainment of client specific processing requirements
• Data validation and extraction – identifying/validating customer information like legal names, registered/trading address etc., nature of business, industry classification codes and updating missing information from valid sources
• Determining risk levels by looking into their geographical risk, product risk, country risk, industry risk, involvement of PEPs
• Conducting additional screening and adverse media checks where necessary
• Escalate concerns to compliance teams wherever applicable
• Assess/ Re-assess risk ratings
• Shelfing of documentary proofs in specified repositories
• Supporting team members in course of knowledge transfer and in-house process training
• Prepare Management Information reporting files in adherence to process, procedure and policies
• Handle exception reports generated from systems and cleanse accordingly
Responsibilities
Desired Candidature:
• Ability to perform KYC analysis on clients by conducting risk analysis using various FCCR Tool and chalk out review findings applying human decisioning to validate customer risk scorings.
• Experience of KYC analysis in a remediation/periodic review or on-boarding environment is essential
• Capable to recommend proactive measures to minimize deficiencies having a regulatory and reputational risk impact
Job Description:
• Ensuring KYC checks by applying relevant Enhanced Due Diligence measures for attainment of client specific processing requirements
• Data validation and extraction – identifying/validating customer information like legal names, registered/trading address etc., nature of business, industry classification codes and updating missing information from valid sources
• Determining risk levels by looking into their geographical risk, product risk, country risk, industry risk, involvement of PEPs
• Conducting additional screening and adverse media checks where necessary
• Escalate concerns to compliance teams wherever applicable
• Assess/ Re-assess risk ratings
• Shelfing of documentary proofs in specified repositories
• Supporting team members in course of knowledge transfer and in-house process training
• Prepare Management Information reporting files in adherence to process, procedure and policies
• Handle exception reports generated from systems and cleanse accordingly
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
