45 Slm Jobs

Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Project Management . Experience: 5-8 Years .

As a GenAI Technical Solutions Architect, your role involves developing and implementing architecture strategies for Gen AI to enhance AI ML model deployment and monitoring efficiency. You will focus on developing cutting-edge architectural strategies for Gen AI components and platforms, leading the implementation of LLM operations, and working closely with data scientists and AI professionals to drive digital transformation. Your responsibilities include: - Developing cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), AI agents, and embeddings. - Leading working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, and identifying components for reuse to save efforts, time, and money. - Leading the implementation of LLM operations to optimize model performance, scalability, and efficiency, and designing autonomous AI systems capable of complex decision-making and task execution. - Working closely with data scientists and AI professionals to identify and pilot innovative use cases aligned with business objectives and ROI. - Defining AI architecture, selecting suitable technologies, integrating RAG systems, embedding models, and LLM frameworks, and deciding on optimal deployment models. - Auditing AI tools and practices for continuous improvement, collaborating with security and risk leaders to ensure ethical AI implementation, and staying updated on AI regulations. You should have: - Proven track record in shipping products and developing Gen AI product architecture, with 10+ years of experience in AI and 5+ years in building NLP/AI software. - Demonstrated experience in delivering Gen AI products, deep familiarity with cloud technologies, proficiency in PyTorch, TensorFlow, Kubernetes, Docker, and experience deploying models using advanced LLM ops techniques. - Excellent communication and interpersonal skills, hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models. Qualifications: - Bachelor's or master's degree in computer science, Data Science, or a related technical field. - Ability to translate complex technical concepts into actionable business strategies, strong communication skills, and a proven track record in managing and delivering AI/ML projects in large-scale enterprise environments.,

Work closely with our business requesters and outsource provider to ensure the process is understood Manage users calls & resolve queries regarding the Supplier maintenance process in SLM and Ariba Speak to internal customers on behalf of the outsource provider to resolve queries / give clarification Escalation Management and Support end-to-end process performance and improvements through Performance Management and other Lean Sigma practices Provide SLM refresher training to business users Produce routine reports, schedules, and summaries for management as required Assist with Supplier Master Data Cleaning Customer Relationship Responsibilities Serve as the point of contact for all supplier related SLM and Ariba queries; Resolve any query issues according to defined policies and procedures and escalate as necessary to operational management. Excellent, clear communication, interaction and interpersonal skills Must display a customer service focused attitude and therefore possess great customer Service skill. Advanced Excel to interrogate data Basic SAP, SLM or Ariba Supplier management experience beneficial Supplier Master Data Experience

Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: IT Operations Management . Experience: 3-5 Years . >

You will be responsible for monitoring ATM sites and handling inbound and outbound calls related to maintenance, updates, custodians, vendors, and other calls from FLM/SLM. Your role will involve coordinating with different departments and vendors, handling escalations, and maintaining relationships with all stakeholders. Additionally, you will provide online technical support to field engineers and electricians, follow up on FLM and SLM alerts, manage incidents, log complaints, and ensure minimum ATM downtime related to hardware and power issues. As part of the job profile, you will monitor ATMs, coordinate with ATM teams for FLM and SLM activities, track priority issues, collaborate with coordinators and area managers for issue resolution, identify dependencies for ATM uptime, and escalate high TAT calls to internal stakeholders promptly. You will be handling interactions over the phone and via email within specified timeframes. The desired attributes for this role include being energetic, possessing excellent communication skills, having a positive team player attitude, and being proactive in problem-solving. The ideal candidate should have 2-5 years of relevant experience in the industry, be an undergraduate or graduate with good communication skills, and be willing to work in shifts (day/night).,

Reimagine Travel decisions with the power of AI @ MakeMyTrip. MakeMyTrip has been AI/ML/Data/Platform powered organization. We are now shaping the future of travel for Bharat customers, with GenAI-centric innovations, leveraging SLMs, Vernacular STT/TTS, and travel content systems. Join us to take these systems, chatbots, Cx, content to next orbit of excellence. Responsibilities: Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications such as travel destination expertise, Myra bot orchestration, hotel semantic search, and customer support bot assistance. Build custom Natural Language Inference (NLI) and reward-scoring models to improve preference-based SLM training (DPO, PPO, SteerLM etc), enhancing multi-agent response quality and relevance. Develop and implement active learning pipelines for data and models, for NLP, Named Entity Recognition (NER), conversational latent intent/concepts, travel-specific embeddings, and domain-specific SLM training for summarization, rephrasing, and planning. Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks across multiple lines of business, supporting the Myra chatbot ecosystem. Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics and leveraging A/B testing for performance optimization. Mentor and guide engineering teams in advanced SLM and Generative AI analytics, fostering growth and innovation. Collaborate across teams to deliver scalable solutions that impact millions of users, ensuring alignment with business goals. Focus on hosting and deploying Generative AI models on robust and efficient infrastructure to support large-scale operations. What You Bring: Deep experience in Natural Language Processing (NLP & NLI), tiny/small language models, base language model retraining (both transformer and BERT based architectures). Extensive experience in conversational NLP systems. Experience in SLM adaptor fine tuning, SFT training, SLM pruning (base and instruct models) Experience in retriever frameworks in Q&A bots. Experience in contrastive learning, graph learning based embedding methods with heterogenous features. Preferably experience in building NLP active learning pipelines. Demonstrable experience in scaling your models to large scale search systems is a plus. Very good critical reasoning skills, data centric NLP/NLI systems. Must have temperament and hunger to work in fast-paced environment.

About The Role Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Geographic Information Systems(Maps) . Experience3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Quoting and sales query . Experience1-3 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Creating Peace of Mind by Pioneering Safety and Security At Allegion, we are dedicated to ensuring the safety and security of the people you care about in their living spaces, workplaces, and other environments they frequent. With a diverse portfolio of over 30 brands, a global workforce of 12,000+ employees, and products available in 130 countries, we specialize in providing security solutions focused on doorways and beyond. In 2024, we were honored to receive the Gallup Exceptional Workplace Award, acknowledging our commitment to fostering engaging workplace cultures across the globe. Duties and Responsibilities: - CMS Process Management: Develop, implement, and maintain processes for Configuration Management System (CMS) and Configuration Management Database (CMDB) data management to uphold data accuracy, completeness, and consistency in alignment with established standards. - Data Analysis and Reporting: Create, manage, review, and update all procedural documentation and work instructions related to the Configuration Management Process for effective data analysis and reporting. - Process Improvement: Continuously enhance CMDB processes to conform to ITIL best practices and meet evolving business needs. - Audit and Compliance: Define and enhance the Configuration Audit process and conduct periodic audits to ensure compliance with set standards. - Trainings: Develop training materials for Configuration Item (CI) owners and communicate the Configuration Management process to IT teams. - Data Standardization: Manage data across various CMDB tables and assets, ensuring normalization and standardization of information. - Discovery: Plan and oversee input to the Configuration Management System, including data discovery and import methods. - Integrations: Configure efficient Identification and Reconciliation processes and monitor CMDB health to address conflicts between data sources. - Relationships: Establish and maintain standard CIs, CI relationships, and CMDB Classification as per business requirements. - CSDM: Define and implement the Allegion Specific Configuration System Data Model (CSDM) in alignment with management and stakeholder needs. - Access Guardrails: Ensure appropriate security measures and access levels are maintained within the Configuration Management System. - Reporting: Analyze CMDB data to identify trends, patterns, and insights, and generate reports as per the requirements of Management and Business Stakeholders. - Execute delegated duties and tasks from the process owner while adapting to changing priorities and business demands. Technical Expertise: - Proficient in ITIL v3/v4 processes and familiar with IT Asset Management (ITAM) tools such as ServiceNow, BMC, Flexera, Snow, SLM, SCCM, and Intune. Prior knowledge of ServiceNow is advantageous. - Solid understanding of ServiceNow MID server configuration and data source integrations with ServiceNow. - Strong knowledge of CMDB life cycle management within the ServiceNow environment. - Minimum 8-10 years of experience in Service Asset and Configuration Management (SACM) and CSDM. Professional Attributes: - Process-oriented individual with a strong grasp of Configuration Management System Data Model (CSDM) and Service Mapping concepts. - Possesses personal attributes like Stakeholder Management, Communication Skills, Analytical Skills, Presentation Skills, and the ability to work effectively under pressure. - Experience collaborating with global teams in an international work environment. Allegion is committed to fostering diversity and promoting equal opportunities in employment. Join us in our mission to create safer and more secure environments for everyone. ,

Position Title : Sr. Solutions Architect - AI Job Location : Hyderabad / Bengaluru / Indore Experience : 12+ Yrs Job Type : Permanent & Work From Office Role Dimension : This position is critical for driving innovation within AI and related fields, requiring a mix of technical expertise and strategic vision. Apply only if you are ready to take on exciting challenges in a fast-paced, growth-oriented environment. Key Responsibilities : - Design AI and cloud-based solutions (accelerators/applications) and lead the team in building them. - Stay up to date with evolving trends in AI and technology. - Present solution designs to business users, senior leadership, and clients effectively. Required Skills & Experience : - Strong understanding and passion for learning and building AI-based solutions and offerings. - Broad expertise in Solution Architecture, Cloud platforms (AWS/Azure), end-to-end Software Development, Integration, and Cyber Security (most areas preferred). - Hands-on coding experience (Java, .NET, Python) is highly desirable. - Experience or advanced knowledge in AI technologies such as Claude, GitHub Copilot, and Private ChatGPT is a significant advantage. - Familiarity with LLMs, SLMs, and Agentic AI is a strong plus. - Experience in at least one vertical-Finance or Healthcare. - Excellent communication skills with a proven track record of presenting to clients and stakeholders. - Demonstrated ability to quickly learn and apply new technologies and methodologies. - A proactive mindset with a strong ability to adapt and thrive in a dynamic environment. Education & Certifications : - Bachelor's or master's degree in computer science, Engineering, or a related field - Certification in Cloud and AI platforms (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified : Azure AI Engineer Associate, Google Cloud AI certifications) is a strong plus. Kindly Note : We are inviting candidates with the above matched skills and experience, preferably who can join 0 to 15 days max. Hands on coding experience from scratch is mandatory.

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are hiring an AI/ML Engineer with deep knowledge of Small Language Models (SLMs) to develop lightweight, efficient models optimized for real-time applications, including edge deployment and low-latency scenarios. Roles & ResponsibilitiesDesigning the architecture of Small Language Models (SLMs), selecting suitable model types (e.g., transformer-based), and define training datasets and evaluation benchmarks. Collecting, cleaning, and preprocessing data to ensure high-quality, task-relevant inputs for model training. Training and fine-tuning SLMs using optimized procedures to enhance task performance while adhering to resource constraints. Deploying SLMs into production systems, ensuring seamless integration and reliable real-time operation within target applications. Continuously monitor model performance, identifying optimization opportunities, and implementing updates to maintain accuracy and efficiency. Ensuring all stages of model development comply with data privacy, fairness, and security guidelines. Staying abreast of advancements in SLM research and tooling, experimenting with emerging techniques, and contributing to innovation in the domain. Professional & Technical Skills: Strong background in NLP, deep learning, and model compression Proficient in PyTorch, TensorFlow, Hugging Face Transformers Solid understanding of neural network architectures, including transformers and other relevant models, and experience with training and optimization techniques. Familiarity with CI/CD workflows and cloud platforms (AWS, Azure) Detail-oriented with a strong focus on performance optimization Handle client communication, including articulating the solution to non-technical clients. Team player with good collaboration and communication skills Additional Information:- The candidate should have minimum 7.5 years of experience in AI/ML, with at least 1-2 years working on LLM/SLM development closely- Bachelors or Masters in Computer Science, Machine Learning, or related technical field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

You have around 12-15 years of experience in line with the job profile. PTC is a highly revenue-driven sales organization, and as the selected candidate, you should have a proven track record of the same. You should possess an attitude of "Always be Selling" and be a passionate, self-driven individual who is end goal-centric. Ideally, you hold an Engineering Degree, preferably in Mechanical Engineering, and have a minimum of 10 years of work experience in the manufacturing domain or a similar domain. It would be advantageous if you have worked in an enterprise-driven strategic engagement like ERP, PLM, ALM, SLM. Knowledge about Cloud SaaS and Subscription will be a plus since PTC is a SaaS company. Your role will require you to liaise with C-Level Executives and be a trusted advisor in their journey. You must have a deep understanding of the Product Development Process and be able to work effectively with the Partner Ecosystem, leading by example. You should be capable of creating joint business plans with internal and Partner Ecosystem and successfully execute them. Being a team player by nature and having experience working in an ecosystem is essential for this position. While an understanding of Aerospace and Defence is an added advantage, it is not mandatory. Life at PTC is not just about working with cutting-edge technologies to transform the physical world but also about being yourself and collaborating with talented industry leaders to make a difference. If you are passionate about problem-solving through innovation, you will likely find the PTC experience as rewarding as we do. Are you prepared to explore your next career move with us PTC respects the privacy rights of individuals and is dedicated to handling Personal Information responsibly and in compliance with all applicable privacy and data protection laws. You can review our Privacy Policy for more details.,

Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Digital Marketing. Experience: 3-5 Years.

Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the team of data scientists, GenAI developers and ML engineers in hands-on mode. The team is engaged in developing and deploying advanced LLM, SLM and RAG based models along with classical machine learning models including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to develop pipelines that autonomously discover problems, identify root causes and recommend actions in real-time and batch processing scenarios while ensuring that models are interpretable, scalable, and optimized for performance in production environments at big data scale. Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural language insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights. Reference Architectures : Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time. Adapt reference architectures that operationalize AI and Gen-AI models optimally in both batch and real-time modes. Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines for raw data and engineered features ensuring data quality, integrity, and accessibility for model training and inference. Help establish robust MLOps and LLMOps practices, including automated model monitoring, retraining triggers, and performance benchmarking including assessment of model accuracy and drift parameters and the business impact. Guide implementation of improvements based on feedback and new data. Development of Use Cases: Lead and support development of the use cases on the platform for various vertical specific problem statements. Support platform demonstration meetings by participating and leading discussions around explanation of platform capabilities and fitments. Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies and coding standards. Collaborate closely with product managers, data engineers, and business analysts to align AI solutions with platform goals and user requirements in accordance with the platform roadmap. Pre-sales: Support pre-sales, marketing hyper-scaler partnerships and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements. Support the client development efforts by contributing to developing proposals, POVs and other POC read-outs. Support pilot deployments at clients and strive for conversion into full programs. Technical Skills In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI along with significant hands-on development experience in these areas Able to understand the nuances of business problems in various domains, quickly grasp the problem discovery analysis and modelling imperatives and translate those into the requirements for AI models Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker / Azure Machine Learning Studio / Google Datalab ML Engine AutoML / H2O etc. Experience in leveraging open-source LLMs and prompt engineering, RAG based training and SLM model development Hands-on with excellent ML programming skills in Python using open-source libraries Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies 14-16 years of Machine Learning model development and application experience Experience in building cloud-based products that implement GenAI and ML modelling as a service

Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Claims_Processing.Experience1-3 Years.are explicitly welcome.

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Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Order Management-Level 1.Experience: 3-5 Years.

As a Lead AI Engineer at Opkey, you will be at the forefront of disrupting the ERP transformation testing space with our AI-powered No Code Testing platform for Enterprise business applications. With our headquarters in Dublin, California, and additional offices in Pittsburgh, NYC, and India, we are a fast-growing VC-backed company trusted by 250+ enterprise customers, including GAP, Pfizer, and KPMG. Join our team and be a part of the test automation market that is estimated to reach $50 billion by 2026. Your role will involve architecting, building, and deploying AI/ML models for SaaS products at scale. You will lead the end-to-end lifecycle of AI projects, collaborate with cross-functional teams, and integrate AI capabilities into our next-generation platforms. Embrace the opportunity to define and uphold best practices in AI model development, MLOps, and scalable deployment while mentoring a team of AI/ML engineers. As a seasoned professional with 10-12 years of experience in AI/ML engineering within SaaS and product-based environments, you will bring expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI. Your hands-on experience with frameworks like TensorFlow, PyTorch, and Hugging Face Transformers will be invaluable in designing scalable AI architectures and deploying models in production environments. Your strong programming skills in Python, along with familiarity with languages like Java, Go, or Scala, will be essential as you navigate ambiguous technical challenges and drive innovative AI solutions. Stay abreast of advancements in AI, contribute thought leadership internally and externally, and partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives. Preferred qualifications include a Masters or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, experience in Go-to-Market Strategy for AI-powered products, and contributions to open-source AI projects or published research papers. If you have experience integrating AI into customer-facing SaaS products with measurable outcomes, this could be an exciting opportunity for you to make a significant impact. Join Opkey as we revolutionize the world of AI-powered testing and be part of a dynamic team driving innovation and excellence in the AI space.,

You will be part of our team as a Researcher at Infosys Applied AI research team. Your role will involve designing, developing, and training transformer-based models for multiple-modality to support various AI-powered applications. You will experiment with different architectures, training techniques, and optimization methods to enhance the models" understanding and generative capabilities. Additionally, you will be responsible for innovating robust and scalable architectures to meet future requirements and troubleshooting model issues to ensure their robustness and adaptability. To qualify for this position, you should have at least 8 years of experience and hold a Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields (Ph.D. preferred). You must have proven experience in training models, particularly text and multi-modal models, along with a strong knowledge of transformer architectures and their underlying principles. Experience with model pre-training, fine-tuning, and distributed training is essential. Moreover, having one or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS) will be advantageous. By joining our team, you will have the opportunity to work on cutting-edge projects that are at the forefront of artificial intelligence. You will play a crucial role in contributing to groundbreaking advancements in NLP and AI while working in an innovative and dynamic environment. We offer competitive compensation and benefits package, along with a flexible work environment. While Bangalore is preferred, we are open to considering candidates from multiple locations in India.,

The Configuration Management role at Allegion involves overseeing and ensuring compliance with Configuration Management policies and procedures. This position offers the opportunity to contribute your knowledge, creativity, and ideas towards developing and guiding the organization to establish a mature configuration management process. Reporting to the Global IT Manager - Asset & Configuration Manager, this role is based in Bangalore, India, following a Hybrid Work Model. Responsibilities include managing CMS Process, Data Analysis, Process Improvement, Audit and Compliance, Trainings, Data Standardization, Discovery, Integrations, Relationship management, CSDM deployment, Access Guardrails, Reporting, and executing tasks as assigned by the process owner. The ideal candidate should have a strong understanding of ITIL v3/v4 processes and experience with ITAM tools like ServiceNow, BMC, Flexera, Snow, SLM, SCCM, and Intune. Knowledge of ServiceNow, especially MID server configuration and data source integrations, is preferred. Additionally, expertise in CMDB life cycle management within the ServiceNow environment with at least 8-10 years of experience in SACM & CSDM is desired. Professional attributes such as being Process Oriented, having a good understanding of CSDM and Service Mapping concepts, and possessing skills in Stakeholder Management, Communication, Analytics, Presentation, and ability to work under pressure are essential for success in this role. Exposure to working with global teams in a global setup is also beneficial.,

As an Emerging Tech Specialist at our Applied Research center, you will focus on applying scientific and technical research to solve practical problems and develop new products or processes within a specific industry or field. Your responsibilities will include conducting research, analyzing data, and developing solutions that can be implemented in real-world settings. You will define the research agenda and collaborate with academia and partners to conduct applied research. Additionally, you will be responsible for building tech playbooks that can be utilized by product and implementation teams. Your key responsibilities will involve researching emerging tech trends, the ecosystem of players, use cases, and their impact on client businesses. This will include scanning and curating startups, universities, and tech partnerships to create an innovation ecosystem. You will rapidly design and develop Proof of Concepts (PoCs) in emerging tech areas, sharing design specifications with team members, integrating, and testing components. Furthermore, you will contribute to thought leadership by developing showcases that demonstrate the application of emerging technologies in a business context. As part of the Applied Research Center activities, you will contribute to the design, development, testing, and implementation of proof of concepts in emerging tech areas. You will also be involved in problem definition and requirements analysis, developing reusable components, and ensuring compliance with coding standards and secure coding guidelines. Your role will also include innovation consulting, where you will understand client requirements and implement solutions using emerging tech expertise. Additionally, you will be responsible for talent management, mentoring the team to acquire identified emerging tech skills, and participating in demo sessions and hackathons. You will work with startups to provide innovative solutions to client problems and enhance our offerings. In terms of technical requirements, you should have expertise in various emerging areas such as Advanced AI, New Interaction Models, Platforms and Protocols, Cybersecurity, Quantum, Autonomous Machines, and Emerging Research areas like Brain AGI and Space Semicon. You will also need advanced theoretical knowledge, experimental design expertise, data analysis skills, prototype development capabilities, and research tool proficiency. Preferred skills include experience in User Experience Design, Artificial Intelligence, Cybersecurity Competency Management, Machine Learning, Robotics Algorithms, and X Reality (XR) technologies. Soft skills like a collaborative mindset, communication skills, problem-solving approach, intellectual curiosity, and commercial awareness will be beneficial for this role.,

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : BMC Remedy Developer Qualification : BE / B.tech Relevant Experience : 4+ Years Must Have Skills : Configuring and customizing components of ARS, ITSM - Incident, Problem, Change, Task, SRM, SLM and CMDB. • Managing CMDB data model and Asset • Provide technical support of the Remedy Suite including, CMDB, Asset Management, Incident/Problem/Change management within the production, test and development environments. • Ability to troubleshoot applications at the workflow and database level • Experience of Asset Management • Create and/or update Remedy documentation to comply with software lifecycle methodologies • Integration of Remedy with other systems using webservice, REST and APIs. • Must have experience with direct database query technologies. Good to Have Skills : Ability to troubleshoot applications at the workflow and database level Managing CMDB data model and Asset Roles and Responsibilities : Your future duties and responsibilities Education and skills • Bachelors Degree and 4 or more years of BMC Remedy Development experience • Strong troubleshooting skills • BMC Remedy product line experience across all modules (ARS, Service Desk, Change Management, SRM, Asset Management, CMDB, DWP, DWPA, Dashboard/Smart Reporting, SSO) • Experience with integration methodologies like REST, Web Services etc. • Experience of working on various Operating Systems, and Databases • Experience of working in latest Remedy versions on Helix. • Exposure to agile methodology and tools. Technical skills • Knowledge of BMC Remedy ARS. Location : Chennai CTC Range : As per market standards Notice period : Immediate Shift Timing : General Shift Mode of Interview : Virtual Mode of Work : Work from office Bhuvaneshwari S Senior Specialist Black and White outsourcing Pvt Ltd Bangalore, Karnataka,INDIA. bhuvaneshwari@blackwhite.in | www.blackwhite.in

Role: Lead Functional Consultant (L8/L9) Locations: Bangalore | Pune | Hyderabad | Mumbai | PAN India Experience: 4 to 15 Years Key Responsibilities: Manage and lead enterprise product implementations, including: Project planning Execution Financials Customer relationship management Build and foster internal consulting capability within the Professional Services group Lead a team of Senior Functional Consultants across multiple engagements Design and deliver best-of-breed solutions aligned to business goals Ensure delivery within defined scope, schedule, and effort Oversee system configuration and deployment activities across projects Provide strategic product feedback based on real-world implementations Skills & Experience: At least 2 full life cycle implementations in a project lead/manager capacity Ability to interpret trends/patterns and define actions based on data Domain knowledge in supply chain, procurement, sales, contracting Expertise in large-scale CLM implementations (Buy, Sale, Govt. Contracting) Functional mapping experience across platforms like: SAP Ariba S/4HANA Salesforce Dynamics 365 Ability to support AI/Engineering teams with demos & test strategies Qualifications: Bachelor's/Masters degree in a relevant field Strong communication, analytical thinking & team leadership

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are hiring an AI/ML Engineer with deep knowledge of Small Language Models (SLMs) to develop lightweight, efficient models optimized for real-time applications, including edge deployment and low-latency scenarios. Roles & ResponsibilitiesDesigning the architecture of Small Language Models (SLMs), selecting suitable model types (e.g., transformer-based), and define training datasets and evaluation benchmarks. Collecting, cleaning, and preprocessing data to ensure high-quality, task-relevant inputs for model training. Training and fine-tuning SLMs using optimized procedures to enhance task performance while adhering to resource constraints. Deploying SLMs into production systems, ensuring seamless integration and reliable real-time operation within target applications. Continuously monitor model performance, identifying optimization opportunities, and implementing updates to maintain accuracy and efficiency. Ensuring all stages of model development comply with data privacy, fairness, and security guidelines. Staying abreast of advancements in SLM research and tooling, experimenting with emerging techniques, and contributing to innovation in the domain. Professional & Technical Skills: Strong background in NLP, deep learning, and model compression Proficient in PyTorch, TensorFlow, Hugging Face Transformers Solid understanding of neural network architectures, including transformers and other relevant models, and experience with training and optimization techniques. Familiarity with CI/CD workflows and cloud platforms (AWS, Azure) Detail-oriented with a strong focus on performance optimization Handle client communication, including articulating the solution to non-technical clients. Team player with good collaboration and communication skills Additional Information:- The candidate should have minimum 7.5 years of experience in AI/ML, with at least 1-2 years working on LLM/SLM development closely- Bachelors or Masters in Computer Science, Machine Learning, or related technical field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Software License Management Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : Degree in IT or Business related discipline Summary :Experienced on implementing Software Asset Management policies & Procedures. Design service catalogues for Software request management and lifecycle. Competent on up to 4 tier 1 publishers (Microsoft, Oracle, IBM, VMware, SAP) & any 3 Tier 2 publishers (Salesforce, Adobe, Quest, Autodesk, Microfocus, Citrix, Veritas, Informatica) Expert functional and technical knowledge of ServiceNow SAM Pro / Flexera / SNOW SLM In-depth knowledge of publisher contracts and use rights. Technically strong in creating Out of the box and custom reports and dashboards. Expert in conducting SAM maturity assessments and independently provide recommendations and remediations as a Sr. consultant. Manage the delivery of multiple software license compliance reviews to agreed timeframes and budgets. Work with end users to assist in the data collection process enabling a smooth and efficient end to end review process that meets our client timescales. Build strong working relationships with clients and colleagues. Key Responsibilities:-Maintain software publisher licensing information for the assigned publishers (i.e., both entitlements and deployments) Analyze software licensing agreements, create entitlements summary, and summarize use right information from software agreements. Importing licenses and agreements into the SAM tool (SNOW SLM/ SAM Pro, Flexera/Others). Update software entitlement and agreement information into the SAM tool. Maintain accurate records of software licenses and related assets, ensuring compliance with licensing agreements and regulations. Develop and implement software license management policies and procedures, ensuring adherence to industry best practices and standards. Maintain software installation records in SAM tool and perform product normalization. Perform license reconciliation in SAM tool. Work with internal stakeholders to ensure deployment of software applications are compliant and if not, work with the stakeholders to remediate non-compliance. Respond to customer queries on software licensing. Create customized reports and recommendations to report on SAM function activities. Identify cost savings and license re-harvesting opportunities. Drive periodic or ad-hoc stakeholder and project meetings. Technical Experience:-Excellent command over software licensing and use rights information of tier 1 software publishers (i.e., Microsoft, Oracle, IBM, VMware, Adobe, Citrix, and SAP) Proficient in creating and delivering IBM Sub-Capacity Mainframe ELP reports Proficient in creating Oracle DB server and Options ELP reports. Performing manual reconciliation and deployment validation as required Experience working on at least one or more SAM Tools (i.e., ServiceNow SAMPro, Flexera, SNOW License Manager) Professional Attributes:-Excellent communication skills Expert knowledge in MS Office applications (Excel & PowerPoint) Ability to work in a team environment. Must have Skills: Software licensing & Software Asset Management Tools Good to Have Skills: Analytical and Communication Skills Candidate should be flexible on doing shifts and coming to office. Educational Qualification:-15 years of full-time education Degree in IT or Business related discipline. Additional Information/Certification:-Certified Software Asset Manager (CSAM) CITAM Qualification Degree in IT or Business related discipline