As a Custom Software Engineer, you will engage in the development of custom software solutions that involve designing, coding, and enhancing various components across systems or applications. Your typical day will include collaborating with cross-functional teams, utilizing modern frameworks, and applying agile practices to deliver scalable and high-performing solutions that are tailored to meet specific business needs. You will also be involved in troubleshooting and optimizing existing software components to ensure they align with the evolving requirements of the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with stakeholders to gather requirements and translate them into technical specifications.- Participate in code reviews to ensure code quality and adherence to best practices. Professional & Technical Skills: '• Proven experience in a DevOps role with expertise in Airflow, Python, and related technologies.• Hands-on experience with CI/CD pipelines and automation tools like Jenkins, Azure ADO, GitLab• Strong understanding of cloud computing principles and experience with AWS, Azure, or GCP.• Experience in Control-M jobs or any batch integration• Knowledge in postgres sql, Oracle etc• Have to understand the release management process and handle different scrum calls• Excellent leadership, communication, problem-solving skills and work in a fast-paced environments Additional Information: - The candidate should have minimum 3 years of experience in DevOps
Responsibilities
As a Custom Software Engineer, you will engage in the development of custom software solutions that involve designing, coding, and enhancing various components across systems or applications. Your typical day will include collaborating with cross-functional teams, utilizing modern frameworks, and applying agile practices to deliver scalable and high-performing solutions that are tailored to meet specific business needs. You will also be involved in troubleshooting and optimizing existing software components to ensure they align with the evolving requirements of the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with stakeholders to gather requirements and translate them into technical specifications.- Participate in code reviews to ensure code quality and adherence to best practices. Professional & Technical Skills: '• Proven experience in a DevOps role with expertise in Airflow, Python, and related technologies.• Hands-on experience with CI/CD pipelines and automation tools like Jenkins, Azure ADO, GitLab• Strong understanding of cloud computing principles and experience with AWS, Azure, or GCP.• Experience in Control-M jobs or any batch integration• Knowledge in postgres sql, Oracle etc• Have to understand the release management process and handle different scrum calls• Excellent leadership, communication, problem-solving skills and work in a fast-paced environments Additional Information: - The candidate should have minimum 3 years of experience in DevOps
Salary : Rs. 0.0 - Rs. 1,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Posting Title: USI-CTS ServiceNow Technical Lead 8+ Yrs
Description: - Lead a large team of developers – oversee daily operations
- Experience with complex integrations and environments
- Complete Code Reviews for the team
- Strong technical knowledge
- Complete technical design on large innovate projects
- Good communication skills and can be customer facing
Responsibilities
Job Posting Title: USI-CTS ServiceNow Technical Lead 8+ Yrs
Description: - Lead a large team of developers – oversee daily operations
- Experience with complex integrations and environments
- Complete Code Reviews for the team
- Strong technical knowledge
- Complete technical design on large innovate projects
- Good communication skills and can be customer facing
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve software-related challenges, ensuring the smooth operation of essential applications. You will engage in problem-solving activities, analyze system performance, and contribute to the continuous improvement of processes and tools used in application support. Your role will be pivotal in maintaining the integrity and efficiency of business systems, allowing for seamless operations across the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Collaborate with cross-functional teams to enhance system performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure DevOps.- Strong understanding of continuous integration and continuous deployment methodologies.- Experience with version control systems, particularly Git.- Familiarity with Agile methodologies and project management tools.- Ability to troubleshoot and resolve issues in a timely manner. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure DevOps.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Responsibilities
As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve software-related challenges, ensuring the smooth operation of essential applications. You will engage in problem-solving activities, analyze system performance, and contribute to the continuous improvement of processes and tools used in application support. Your role will be pivotal in maintaining the integrity and efficiency of business systems, allowing for seamless operations across the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Collaborate with cross-functional teams to enhance system performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure DevOps.- Strong understanding of continuous integration and continuous deployment methodologies.- Experience with version control systems, particularly Git.- Familiarity with Agile methodologies and project management tools.- Ability to troubleshoot and resolve issues in a timely manner. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure DevOps.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 2,16,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
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
