2005 Chatbot Jobs - Page 18

Location : Bangalore Type : Full-time About Digit88 Digit88 empowers digital transformation for innovative and high-growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner! We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with a deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners. With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best. The Vision : To be the most trusted technology partner to innovative software product companies world-wide. The Opportunity Digit88 manages and is expanding the dedicated offshore product development team for its US (Bay Area, NYC) based NLP/Chatbot platform development partner, that is building a next-generation AI/NLP-based customer engagement platform. The candidate would be joining an existing team of 25+ engineers and helping expand the team that develops and delivers cutting-edge front-end applications for our clients that engage with consumers and manage conversations across the world. Responsibilities 5+ years of professional experience in Java development in building high scalable distributed systems. Strong foundation in Core Java, Data Structures, and Object-Oriented Design. Experience in building & maintaining scalable distributed systems using Java 1.8+, Spring/Spring boot, Microservices architecture, RESTful APIs. Hands-on experience with SQL(MySQL) and No SQL(Cassandra, Mongo or DynamoDB) databases. Experience in Amazon tools & services like Lambdas for serverless architectures, Redshift for data warehousing and analytical processing. Proven experience in building high-performance, high-availability systems. Experience with caching frameworks (e.g., Redis, Memcached) and messaging systems. Familiarity building and deploying apps using Docker, Kubernetes, and CI/CD workflows. Familiarity with monitoring, logging, and observability tools in a cloud environment. To Be Successful In This Role, You Should Possess : Bachelor's degree in computer science or related field. Good to have AWS Certification (e.g., AWS Certified Developer, AWS Certified Solutions Architect). Experience with containerization technologies such as Docker and Kubernetes. Knowledge of continuous integration and continuous deployment (CI/CD) pipelines. Familiarity with Agile/Scrum methodologies Exposure to analytics pipelines or working with analytics databases (e.g., Redshift, Click House). Experience in the design, development, and deployment of agentic AI @ Digit88 : Comprehensive Insurance (Life, Health, Accident) Flexible Work Model Accelerated learning & non-linear growth Flat organization structure driven by ownership and accountability Work with global peers, including top engineers and professionals from companies like Apple, Amazon, IBM Research, and Adobe Make a global impact with your work, leading innovations in Conversational AI, Tele-Medicine, Healthcare, and more Collaborate with a founding team of serial entrepreneurs with multiple successful exits, offering immense learning opportunities and challenges Join us and partner in our growth journey! (ref:hirist.tech)

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Years of Experience: Candidates with 4+ years of hands on experience Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Years of Experience: Candidates with 4+ years of hands on experience Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Job title : Head of Solutions Delivery Hiring Manager: Head of Service Excellence Location: Hyderabad Job type: Full time/ Hybrid work policy About The Job We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Sanofi ‘Hubs’ are where our key strategic business operations are hosted providing centralized services across Global Medical, Finance, People, Procurement, Digital, R&D and more. Our Ambition: deliver best-in-class enterprise services enabling Sanofi to chase the miracles of science to improve people's lives. As part of our ongoing transformation and transition of activities to our hubs, Service Excellence plays a key role in digitizing service management operations. To support this, we are seeking a Head of Solutions Delivery to lead this strategic journey in partnership with our service towers. Our Team This position is part of Service Excellence, a transversal organization into Sanofi Business Operations. Service Excellence focus is to seamlessly connect Sanofi employees and third parties with the support teams, driving performance and customer centricity. The Head of Solutions Delivery provides strategic leadership for the solutions team, overseeing the implementation, maintenance, and evolution of service management platform and solutions. This role is responsible for managing a diverse team of Business Analysts at various levels while ensuring alignment between technology solutions and business objectives. The Head of Solutions Delivery drives innovation, operational excellence, and continuous improvement across the service management ecosystem to enhance user experience, service efficiency and business outcomes. Main Responsibilities Strategic Leadership and Team Management Lead and develop a team of Business Analysts (Associate, Business Analyst, Senior, and Lead levels) Define team vision, objectives, and key performance indicators aligned with Service Excellence strategy Foster a culture of innovation, collaboration, and continuous improvement Manage team performance, career development, and resource allocation Solution Portfolio Management Oversee the lifecycle management of service management solutions across Portal, Ticketing, Chatbot/AI/GenAI, Telephony, Reporting, and Survey platforms Develop and maintain the solutions roadmap in alignment with business priorities and DIGITAL strategy Ensure solution architecture integrity and integration across platforms Drive adoption of emerging technologies to enhance service delivery capabilities Stakeholder and Vendor Management Build and maintain strategic relationships with key stakeholders across Business Operations and DIGITAL Represent the solutions team in governance forums and steering committees Manage vendor relationships and contracts to ensure optimal service delivery Communicate solution value proposition and performance to executive leadership Operational Excellence Establish and maintain solution configuration and support standards, methodologies, and best practices Implement metrics and reporting frameworks to measure solution effectiveness Drive continuous improvement initiatives based on performance data and user feedback Ensure compliance with security, data privacy, and regulatory requirements Budget and Resource Management Develop and manage team budget and resource allocation Prioritize initiatives based on business impact and resource constraints Optimize team structure and capabilities to meet evolving business needs Identify opportunities for efficiency gains and cost optimization Experience About you Minimum 7 years of experience in solution management, business analysis, or related fields At least 3 years of people management experience leading technical or business analysis teams Proven track record in implementing and managing enterprise technology solutions Experience with service management platforms, AI/GenAI solutions, and reporting tools Background in business operations with focus on service delivery excellence Experience in a global, cross-functional environment Soft Skills Strategic thinking with ability to connect technology solutions to business outcomes Strong leadership and team development capabilities Excellent communication and presentation skills at all organizational levels Effective stakeholder management and negotiation abilities Problem-solving approach with focus on business value delivery Change management and organizational transformation expertise Technical Skills Advanced in service management principles and frameworks (ITIL, KCS) Advanced in project and portfolio management methodologies Advanced in business case development and financial management Intermediate in AI/GenAI, Service Management, Telephony and reporting solutions Intermediate in data privacy principles and compliance requirements Working knowledge of LEAN, Design Thinking, and Continuous Improvement frameworks Understanding of enterprise architecture principles and integration patterns Languages : English (fluent) Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

Key Responsibilities: Deliver interactive and practical sessions on AI fundamentals, tools, and applications. Introduce students to real-world use cases of AI across industries. Guide learners through hands-on exercises using popular AI tools (e.g., ChatGPT, Google AI, IBM Watson, etc.). Simplify complex AI concepts for students from diverse academic backgrounds. Develop and adapt training materials to suit the curriculum and audience. Assess student progress and provide feedback and mentorship. Collaborate with university coordinators and WAE program managers for smooth execution. Required Qualifications: Minimum 3 years of experience in training or teaching AI-related subjects. Strong understanding of AI tools and platforms and their practical applications. Excellent communication and presentation skills. Experience working with university students or in academic environments is a plus. Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields. Preferred Skills: Familiarity with tools like Python, TensorFlow, OpenAI APIs, and cloud-based AI services. Ability to design engaging learning experiences and assessments. Passion for education and technology.

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. This role, part of the Digital Intelligence team, offers opportunity in the financial services industry by developing impactful Machine Learning solutions As a Applied AI ML Lead within the team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. Job responsibilities Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries. Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization Communicate effectively with both technical and non-technical stakeholders Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Develop and maintain tools and framework for prompt-based model training, evaluation and optimization Analyze and interpret data to evaluate model performance to identify areas of improvement Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience with prompt design and implementation or chatbot application Strong programming skills in Python with experience in PyTorch or TensorFlow Experience building data pipelines for both structured and unstructured data processing. Experience in developing APIs and integrating NLP or LLM models into software applications Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing. Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner Basic knowledge of deployment processes, including experience with GIT and version control systems Familiarity with LLM orchestration and agentic AI libraries Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment Preferred Qualifications, Capabilities, And Skills Familiarity with model fine-tuning techniques such as DPO and RLHF. Knowledge of Java, Spark Knowledge of financial products and services including trading, investment and risk management About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 2. Providing technical guidance and troubleshooting support throughout project delivery 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 4. Acting as a trusted advisor to customers on industry trends and emerging technologies 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS Bachelor’s degree required 10+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc. Hands-on technical practitioner and individual contributor Hands-on experience working on the design, development and deployment of contact center solutions at scale PREFERRED QUALIFICATIONS 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms Familiarity with Amazon Connect capabilities, benefits, and required deployment skills. Responsibility for designing, implementing and operating contact centers or telecommunication infrastructures within an enterprise environment Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure. Experience implementing and optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI services Software Development / DevOps experience with integrating contact center platforms, CRMs, and WFMs Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad IND, MH, Pune IND, Bangalore Solutions Architect

Job title : Head of Solutions Delivery Hiring Manager: Head of Service Excellence Location: Hyderabad Job type: Full time/ Hybrid work policy About the job We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Sanofi ‘Hubs’ are where our key strategic business operations are hosted providing centralized services across Global Medical, Finance, People, Procurement, Digital, R&D and more. Our Ambition: deliver best-in-class enterprise services enabling Sanofi to chase the miracles of science to improve people's lives. As part of our ongoing transformation and transition of activities to our hubs, Service Excellence plays a key role in digitizing service management operations. To support this, we are seeking a Head of Solutions Delivery to lead this strategic journey in partnership with our service towers. Our Team: This position is part of Service Excellence, a transversal organization into Sanofi Business Operations. Service Excellence focus is to seamlessly connect Sanofi employees and third parties with the support teams, driving performance and customer centricity. The Head of Solutions Delivery provides strategic leadership for the solutions team, overseeing the implementation, maintenance, and evolution of service management platform and solutions. This role is responsible for managing a diverse team of Business Analysts at various levels while ensuring alignment between technology solutions and business objectives. The Head of Solutions Delivery drives innovation, operational excellence, and continuous improvement across the service management ecosystem to enhance user experience, service efficiency and business outcomes. Main responsibilities: Strategic Leadership and Team Management Lead and develop a team of Business Analysts (Associate, Business Analyst, Senior, and Lead levels) Define team vision, objectives, and key performance indicators aligned with Service Excellence strategy Foster a culture of innovation, collaboration, and continuous improvement Manage team performance, career development, and resource allocation Solution Portfolio Management Oversee the lifecycle management of service management solutions across Portal, Ticketing, Chatbot/AI/GenAI, Telephony, Reporting, and Survey platforms Develop and maintain the solutions roadmap in alignment with business priorities and DIGITAL strategy Ensure solution architecture integrity and integration across platforms Drive adoption of emerging technologies to enhance service delivery capabilities Stakeholder and Vendor Management Build and maintain strategic relationships with key stakeholders across Business Operations and DIGITAL Represent the solutions team in governance forums and steering committees Manage vendor relationships and contracts to ensure optimal service delivery Communicate solution value proposition and performance to executive leadership Operational Excellence Establish and maintain solution configuration and support standards, methodologies, and best practices Implement metrics and reporting frameworks to measure solution effectiveness Drive continuous improvement initiatives based on performance data and user feedback Ensure compliance with security, data privacy, and regulatory requirements Budget and Resource Management Develop and manage team budget and resource allocation Prioritize initiatives based on business impact and resource constraints Optimize team structure and capabilities to meet evolving business needs Identify opportunities for efficiency gains and cost optimization About you Experience Minimum 7 years of experience in solution management, business analysis, or related fields At least 3 years of people management experience leading technical or business analysis teams Proven track record in implementing and managing enterprise technology solutions Experience with service management platforms, AI/GenAI solutions, and reporting tools Background in business operations with focus on service delivery excellence Experience in a global, cross-functional environment Soft skills Strategic thinking with ability to connect technology solutions to business outcomes Strong leadership and team development capabilities Excellent communication and presentation skills at all organizational levels Effective stakeholder management and negotiation abilities Problem-solving approach with focus on business value delivery Change management and organizational transformation expertise Technical skills Advanced in service management principles and frameworks (ITIL, KCS) Advanced in project and portfolio management methodologies Advanced in business case development and financial management Intermediate in AI/GenAI, Service Management, Telephony and reporting solutions Intermediate in data privacy principles and compliance requirements Working knowledge of LEAN, Design Thinking, and Continuous Improvement frameworks Understanding of enterprise architecture principles and integration patterns Languages : English (fluent) Pursue Progress, discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Overview: PepsiCo Data BI & Integration Platforms is seeking a Midlevel Cloud Platform technology leader, responsible for overseeing the deployment, and maintenance of big data and analytics cloud infrastructure projects on Azure/AWS for its Global corporate functions (Finance, Integrated Business Planning). The ideal candidate will have hands-on experience with Azure/AWS services – Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation. Responsibilities: Implement and support application migration, modernization, and transformation projects, leveraging cloud-native technologies and methodologies. Implement cloud infrastructure policies, standards, and best practices, ensuring cloud environment adherence to security and regulatory requirements. Design, deploy and optimize cloud-based infrastructure using Azure/AWS services that meet the performance, availability, scalability, and reliability needs of our applications and services. Drive troubleshooting of cloud infrastructure issues, ensuring timely resolution and root cause analysis by partnering with global cloud center of excellence & enterprise application teams, and PepsiCo premium cloud partners (Microsoft, AWS). Manage cloud-native solutions with integrated service management workflows across platforms like Azure or AWS. Design and implement ITSM integrations (e.g., ServiceNow) to streamline incident response, change management, and automated service delivery. Leverage Generative AI models to drive intelligent automation—enabling self-service support, chatbot agents, and proactive remediation across IT operations. Collaborate cross-functionally to ensure secure, scalable, and observability-driven systems aligned with enterprise reliability goals. Establish and maintain effective communication and collaboration with internal and external stakeholders, including business leaders, developers, customers, and vendors. Develop Infrastructure as Code (IaC) to automate provisioning and management of cloud resources. Write and maintain scripts for automation and deployment using PowerShell, Python, or Azure/AWS CLI. Work with stakeholders to document architectures, configurations, and best practices. Knowledge of cloud security principles around data protection, identity and access Management (IAM), compliance and regulatory, threat detection and prevention, disaster recovery and business continuity. Qualifications: Bachelor’s degree in computer science. At least 6 to 8 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 4 years in a technical leadership role Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps. Deep expertise in cloud platforms (Azure, AWS, or GCP), with experience designing scalable, secure infrastructure and automated workflows. Strong knowledge of ITSM systems like ServiceNow or Jira, including integration development, API management, and process automation. Familiarity with Generative AI concepts, LLMs, and applying AI solutions to automate support, enhance observability, and drive intelligent operations. Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets. Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible. Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences. Certifications in Azure/AWS platform administration, networking and security are preferred. Strong self-organization, time management and prioritization skills A high level of attention to detail, excellent follow through, and reliability Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams Strategic thinker focused on business value results that utilize technical solutions Strong communication skills in writing, speaking, and presenting Capable to work effectively in a multi-tasking environment. Fluent in English language.

Job Title – Data Analyst and IT Support Officer Place of Posting – Delhi Role: Data Analyst is expected to : · Do independent research on various topics as per the project requirements. · Create survey schedules and questionnaires and manage field data teams (if necessary) · Organize and clean datasets gathered by operations teams · Analyze the data using various tools and soft wares. · Produce meaningful insights from the project data. · Write rigorous reports and policy briefs using the data and field insights. · Provide research and policy outputs. · Specific Responsibilities Data Acquisition and Preparation : · Collecting data: Sourcing data from various internal and external sources, including databases, surveys, logs, and APIs. · Cleaning and pre-processing data: Identifying and correcting data inconsistencies, errors, and missing values to ensure accuracy and completeness. · Transforming data: Manipulating data using tools like pandas and SQL to structure it for analysis. Data Analysis and Modeling: Exploratory data analysis (EDA): Analyzing data to understand its distribution, patterns, and relationships between variables. Statistical analysis: Applying statistical methods and tools to identify trends, correlations, and significant differences. Modeling: Building predictive models using techniques like regression and machine learning to forecast future outcomes. Data Visualization and Communication: · Creating visualizations: Designing charts, graphs, and dashboards to communicate data insights clearly and effectively to technical and non-technical audiences. · Report generation: Writing reports summarizing findings, interpretations, and recommendations based on data analysis. · Presenting insights: Presenting findings to stakeholders in a clear, concise, and compelling manner. CRM & LMS Integration and Development Customize CRM workflows for Entrepreneur Development Programs (EDP) and mentoring support services. Integrate LMS platforms with CRM and mobile apps to streamline learning experiences. Monitor LMS usage, performance metrics, and user engagement through dashboards. Mobile and Web Application Development Manage mobile and web app development cycles, ensuring alignment with program timelines and community needs. Coordinate cloud-based testing, stakeholder reviews, and inclusive design feedback loops. Oversee SEO strategies and ensure monthly updates for optimal web presence. Chatbot and Helpline Operations Collaborate with operations teams to train and enhance chatbot functionalities. Monitor helpline usage, call flow efficiency, and manage upgrades for improved accessibility and support. IT Asset and Infrastructure Management Oversee procurement, tagging, audits, and renewals for IT assets and software licenses. Maintain real-time issue trackers and ensure compliance through QR-based verification systems, whitelisting etc. Content Development & Localization Coordinate with subject matter experts and content creators to develop localized, inclusive learning materials (e.g., Green Business, EOL, MOL, Mentor Nuggets). Manage content uploads to LMS and conduct pilot testing with beneficiaries. OneDrive and Email Management Supervise data structuring, tagging, and audits for OneDrive and email platforms used across the organization. Internal Communication and Support Lead organizational communications including email campaigns, newsletters, and updates. Ensure documentation of BOT (Board of Trustees) meetings, compliance checks, and consultant engagement tracking. Training and Capacity Building Facilitate training workshops, digital handholding sessions, and SME knowledge transfer initiatives. Collect and analyze feedback to strengthen learning cycles and field impact. Other Data Validation: Ensure data integrity by validating, cross-checking and cleaning the data as needed Data Maintenance and Optimization: Responsible for maintaining the health and performance of our databases, as well as optimizing data retrieval and storage processes User feedback analysis: Engage with the operations teams to integrate feedback, driving continuous improvement in data visualisation and utility · Any other assignment given by the senior management Desirable skills and qualifications · Masters in data science/statistics/economics with 5-10 years of experience working on primary and secondary datasets with prior experience of data analytics and report writing roles · Research oriented focus. · Understanding of statistical concepts · Understanding of data science and analysis principles · Analytical skills in picking out and understanding key insights from the data · Documentation and project management skills · Excellent communication and leadership skills to deliver data-driven insights at an executive level · Having knowledge of India’s Economy and its challenges. · Capable of handling large primary datasets / experience working with primary agriculture datasets. · Knowledge of various data analysis tools like R or Stata. · Proficiency in SQL and programming skills in Python or R · Solid experience in and knowledge of Tableau and Microsoft PowerBI, having built your own dashboards · Well versed with data visualization techniques and soft wares. · Embody BYST’s mission, vision, and values Job Type: Full-time Pay: ₹100,000.00 - ₹125,000.00 per month Benefits: Health insurance Leave encashment Schedule: Day shift Weekend availability Work Location: In person Application Deadline: 31/07/2025 Expected Start Date: 04/08/2025

At Relinns Technologies , we live and breathe innovation, reliability, and speed! Founded by an IIM alumnus, we have established ourselves as a fast-growing tech company, pushing boundaries and crafting cutting-edge solutions for global clients like Apollo Tyres, Khatabook, and Manchester City Football Club . Our in-house product BotPenguin , a leading AI-powered chatbot builder, is revolutionizing how businesses engage with customers. We believe in fostering a culture of learning, collaboration, and ownership , ensuring that every team member thrives in an intellectually stimulating and supportive work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our engineers to build, innovate, and grow! BotPenguin BotPenguin is an advanced SaaS-based chatbot builder that leverages AI-driven automation for seamless customer engagement. Our platform integrates multiple channels and provides businesses with a scalable, intuitive, and cost-effective chatbot solution. Visit our website here: https://botpenguin.com/ Key Highlights 59,000 plus customer onboarded 140+ Partners Customer across 193 countries 4 Million messages triggered per month Company Culture Relinns is dedicated to fostering a collaborative and innovative work environment, where creativity meets efficiency. We uphold core values such as Responsibility & Ownership, Integrity, Collaboration, Taking Initiatives, and Excellence. We support a healthy work-life balance with flexible working hours and engage our team with weekly fun activities aimed at team building. At Relinns, we prioritize a culture of learning and growth, focusing on continuous development across all areas. Our supportive environment fosters both personal and professional advancement, empowering our team members to excel in their roles. The Role We are looking for an enthusiastic HR Intern who is passionate about designing, implementing, and monitoring the infrastructure, to collaborating with other team members to develop automation strategies and deployment processes. Someone who can become an integral part of the team, making every problem of the platform a problem of their own, and solving them accordingly. What you need for this role Students pursuing any bachelor’s or higher degree in any subject. Must be proficient in using MS Office (MS-Word, MS-Excel, MS-Ppt). Basic understanding of full-cycle recruitment and organizational skills. Must have a passion for research, to learn, and to grow. Must be self-motivated and have the ability to perform under pressure. Must be available for a full-time (in-office) internship for six (6) months. What you will be doing Assist in screening resumes of candidates. Manage job advertisements on job portals and social networks. Create & update all the sheets/reports related to the HR Process. Design and update job descriptions as and when required. Review potential candidates from various job portals & social networking sites. Interview potential candidates (via Phone, Video, and In-Person). Follow the entire recruitment process for hiring of any profile. Responsible for conducting all interview rounds for the shortlisted candidates. Responsible for hiring of all engagement types. Top reasons to work with us Gain hands-on experience in a fast-paced environment where new challenges arise every day. Work alongside a team of exceptionally talented individuals, expanding your professional network and exposing you to new HR concepts and technologies. Enjoy a friendly and high-growth work environment that fosters not only learning and development but also personal growth. Receive competitive compensation and valuable experience that will help pave the way for a successful career in human resources. Job Types: Full-time, Fresher, Internship Pay: ₹10,000.00 - ₹12,000.00 per month Schedule: Day shift Fixed shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): How many months of HR Recruitment internship experience do you have? Work Location: In person

At Relinns Technologies , we live and breathe innovation, reliability, and speed! Founded by an IIM alumnus, we have established ourselves as a fast-growing tech company, pushing boundaries and crafting cutting-edge solutions for global clients like Apollo Tyres, Khatabook, and Manchester City Football Club . Our in-house product BotPenguin , a leading AI-powered chatbot builder, is revolutionizing how businesses engage with customers. We believe in fostering a culture of learning, collaboration, and ownership , ensuring that every team member thrives in an intellectually stimulating and supportive work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our teams to build, innovate, and grow! The Role We are seeking an organized and proactive Project Coordinator to join our team in Mohali. This role involves supporting the project management team by coordinating project activities, managing schedules, and ensuring effective communication among team members. The ideal candidate will be highly organized, detail-oriented, and experienced in project management. What you need for this role Bachelor’s degree in Business Administration, Project Management, or a related field. Proven experience in project coordination or management. Strong organizational and time management skills. Excellent communication and interpersonal skills. Proficiency in MS Office suite and project management tools. Ability to handle multiple tasks and prioritize effectively. Detail-oriented with strong problem-solving skills. Motivated self-starter with a keen interest in project management. What you will be doing Project Coordination: Assist in the planning and execution of projects, ensuring they are delivered on time and within scope. Coordinate project activities and resources, ensuring effective communication among team members. Scheduling and Planning: Create and maintain project schedules, timelines, and milestones. Organize and schedule meetings, prepare agendas, and document meeting minutes. Documentation and Reporting: Maintain accurate and up-to-date project documentation, including project plans, status reports, and risk assessments. Prepare regular reports on project progress, risks, and issues for the project management team. Communication: Facilitate communication between project stakeholders, including team members, clients, and management. Ensure that project updates and changes are communicated effectively to all relevant parties. Support: Provide administrative support to the project management team, including tracking project expenses and coordinating logistics. Assist in resolving project-related issues and conflicts. Top reasons to work with us Gain hands-on experience in a fast-paced, innovative tech environment. Work alongside a talented and intellectual team, gaining exposure to new concepts and technologies. Enjoy a friendly and supportive work environment that fosters learning and development. Competitive compensation package based on experience and skill. Job Type: Full-time Pay: ₹200,000.00 - ₹800,000.00 per year Schedule: Day shift Fixed shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: IT or Tech Project management or coordination: 2 years (Required) Work Location: In person

At Relinns Technologies , we live and breathe innovation, reliability, and speed! Founded by an IIM alumnus, we have established ourselves as a fast-growing tech company, pushing boundaries and crafting cutting-edge solutions for global clients like Apollo Tyres, Khatabook, and Manchester City Football Club . Our in-house product BotPenguin , a leading AI-powered chatbot builder, is revolutionizing how businesses engage with customers. We believe in fostering a culture of learning, collaboration, and ownership , ensuring that every team member thrives in an intellectually stimulating and supportive work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our engineers to build, innovate, and grow! BotPenguin BotPenguin is an advanced SaaS-based chatbot builder that leverages AI-driven automation for seamless customer engagement. Our platform integrates multiple channels and provides businesses with a scalable, intuitive, and cost-effective chatbot solution. Visit our website here: https://botpenguin.com/ Key Highlights 59,000 plus customer onboarded 140+ Partners Customer across 193 countries 4 Million messages triggered per month The Role As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2–5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Schedule: Day shift Fixed shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product or data analyst in SaaS or Tech based: 2 years (Required) Work Location: In person

Key Responsibilities: Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications. Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation. Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows. Optimize AI models for efficiency, scalability, and real-world application in production environments. Develop and fine-tune LLMs and small language models tailored for specific business needs. Implement AI-powered automation for customer support, process optimization, and intelligent decision-making. Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations. Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment. Mentor junior AI engineers and contribute to knowledge sharing within the team. Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies. Required Skills and Experience Experience: 1 year of hands-on experience Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools. Technical Expertise: Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with LLM fine-tuning, model compression, and small language models for efficiency. Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation. Strong understanding of NLP, conversational AI, and chatbot development. Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment. Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques. Experience with big data technologies such as Hadoop, Spark, or similar is a plus. Preferred Qualifications: Experience integrating AI models into business workflows to enhance automation and efficiency. Familiarity with API development and integrations to connect AI services with other systems. Exposure to MLOps and AI model lifecycle management. Knowledge of prompt engineering and AI model optimization techniques. Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Provident Fund Schedule: Day shift Experience: AI/ML: 1 year (Required) Work Location: In person

Job Title: Implementation Associate – Customer Engagement Suite Experience: 1–3 Years Location: Coimbatore Employment Type: Full-time Department: Sales / Marketing Reporting To: Manager / TL About the Role We are hiring two motivated graduates to manage client onboarding, configuration, and ongoing support for our cloud-based CRM, service-desk, and chat-automation products. You will translate business requirements into smooth deployments, train end-users, and ensure every customer achieves rapid time-to-value. Key Responsibilities Configure and customise CRM, support-desk, and live-chat modules to fit each client’s workflows. Gather requirements, map customer journeys, and recommend best-practice solutions. Build chatbot dialogues, automation rules, and light integration flows. Work with product, success, and engineering teams to keep projects on schedule. Deliver remote and on-site training; provide Tier-1 post-go-live support. Explain core API and webhook concepts to non-technical stakeholders. Ideal Candidate MBA / BBA / B.Sc. (Business, Marketing, Operations, IT or related). Clear verbal and written communication, with confidence in client-facing situations. Strong analytical and problem-solving skills; eagerness to learn new software quickly. Basic understanding of REST APIs or software-integration concepts. (Bonus) Exposure to any SaaS CRM, help-desk, or chat platform. What We Offer Ownership of real customer implementations from day one. Mentorship and structured learning on leading SaaS engagement tools. Collaborative culture that values initiative and continuous improvement. Competitive salary with performance-linked growth. Job Type: Full-time Pay: ₹250,000.00 - ₹450,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Pay: ₹13,378.21 - ₹58,556.85 per month Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

👩‍💻 We’re Hiring: AI Engineer 📍 Location: Andheri, Mumbai 🧵 Industry: Kidswear / D2C / E-commerce 📅 Experience: 1–3 years 🕐 Employment Type: Full-time About Nap Chief: Nap Chief is one of India’s fastest-growing premium kidswear brands. We design stylish, imaginative, and super-comfy clothing for kids. As we grow, we're placing AI at the core of our product development, design, marketing, operations, and customer experience — creating a unique blend of tech and creativity. Role Overview: We’re looking for a hands-on AI Engineer who’s excited to build and apply intelligent systems in a real-world brand setting. From generating creative images for new collections to automating business workflows, this role is perfect for someone who enjoys both experimentation and implementation. Key Responsibilities: 🖼️ Use image generation tools (Stable Diffusion, DALL·E, Midjourney, etc.) to support design and marketing 🎨 Work on prompt engineering for moodboards, mockups, and visual ideas 📊 Build ML models for customer segmentation, forecasting, and personalization 📈 Automate reporting and internal workflows using AI 💬 Apply NLP for review mining, chatbot enhancement, and content generation 🤝 Collaborate with cross-functional teams to integrate AI into daily workflows Required Skills: ✅ 1–3 years of hands-on experience with AI/ML and image generation tools ✅ Strong Python skills; familiar with TensorFlow, PyTorch, Scikit-learn ✅ Experience with DALL·E, Stable Diffusion, Midjourney, or similar tools ✅ Basic understanding of LLMs and prompt engineering ✅ Comfortable with Pandas, NumPy, Git ✅ Ability to turn creative/business needs into scalable AI solutions Good to Have: ✨ Experience with OpenAI APIs or custom GenAI models ✨ Background in fashion tech, design automation, or e-commerce ✨ Passion for creative applications of AI Why Nap Chief? 👕 Work at the intersection of fashion + technology 🚀 Be part of a fast-growing, creative D2C brand 🧠 Solve real problems using GenAI and automation 💬 Young, collaborative, open team culture 📩 To Apply: Send your resume (and portfolio if any) to: iram@napchief.com or apply directly #AIJobs #Hiring #GenerativeAI #ImageGeneration #FashionTech #StartupJobs #NLP #OpenAI #DALL·E #StableDiffusion #Midjourney #MLJobs #NapChief #MumbaiJobs #D2CBrand

Job Title – Data Analyst and IT Support Officer Place of Posting – Delhi Role: Data Analyst is expected to : · Do independent research on various topics as per the project requirements. · Create survey schedules and questionnaires and manage field data teams (if necessary) · Organize and clean datasets gathered by operations teams · Analyze the data using various tools and soft wares. · Produce meaningful insights from the project data. · Write rigorous reports and policy briefs using the data and field insights. · Provide research and policy outputs. · Specific Responsibilities Data Acquisition and Preparation : · Collecting data: Sourcing data from various internal and external sources, including databases, surveys, logs, and APIs. · Cleaning and pre-processing data: Identifying and correcting data inconsistencies, errors, and missing values to ensure accuracy and completeness. · Transforming data: Manipulating data using tools like pandas and SQL to structure it for analysis. Data Analysis and Modeling: Exploratory data analysis (EDA): Analyzing data to understand its distribution, patterns, and relationships between variables. Statistical analysis: Applying statistical methods and tools to identify trends, correlations, and significant differences. Modeling: Building predictive models using techniques like regression and machine learning to forecast future outcomes. Data Visualization and Communication: · Creating visualizations: Designing charts, graphs, and dashboards to communicate data insights clearly and effectively to technical and non-technical audiences. · Report generation: Writing reports summarizing findings, interpretations, and recommendations based on data analysis. · Presenting insights: Presenting findings to stakeholders in a clear, concise, and compelling manner. CRM & LMS Integration and Development Customize CRM workflows for Entrepreneur Development Programs (EDP) and mentoring support services. Integrate LMS platforms with CRM and mobile apps to streamline learning experiences. Monitor LMS usage, performance metrics, and user engagement through dashboards. Mobile and Web Application Development Manage mobile and web app development cycles, ensuring alignment with program timelines and community needs. Coordinate cloud-based testing, stakeholder reviews, and inclusive design feedback loops. Oversee SEO strategies and ensure monthly updates for optimal web presence. Chatbot and Helpline Operations Collaborate with operations teams to train and enhance chatbot functionalities. Monitor helpline usage, call flow efficiency, and manage upgrades for improved accessibility and support. IT Asset and Infrastructure Management Oversee procurement, tagging, audits, and renewals for IT assets and software licenses. Maintain real-time issue trackers and ensure compliance through QR-based verification systems, whitelisting etc. Content Development & Localization Coordinate with subject matter experts and content creators to develop localized, inclusive learning materials (e.g., Green Business, EOL, MOL, Mentor Nuggets). Manage content uploads to LMS and conduct pilot testing with beneficiaries. OneDrive and Email Management Supervise data structuring, tagging, and audits for OneDrive and email platforms used across the organization. Internal Communication and Support Lead organizational communications including email campaigns, newsletters, and updates. Ensure documentation of BOT (Board of Trustees) meetings, compliance checks, and consultant engagement tracking. Training and Capacity Building Facilitate training workshops, digital handholding sessions, and SME knowledge transfer initiatives. Collect and analyze feedback to strengthen learning cycles and field impact. Other Data Validation: Ensure data integrity by validating, cross-checking and cleaning the data as needed Data Maintenance and Optimization: Responsible for maintaining the health and performance of our databases, as well as optimizing data retrieval and storage processes User feedback analysis: Engage with the operations teams to integrate feedback, driving continuous improvement in data visualisation and utility · Any other assignment given by the senior management Desirable skills and qualifications · Masters in data science/statistics/economics with 5-10 years of experience working on primary and secondary datasets with prior experience of data analytics and report writing roles · Research oriented focus. · Understanding of statistical concepts · Understanding of data science and analysis principles · Analytical skills in picking out and understanding key insights from the data · Documentation and project management skills · Excellent communication and leadership skills to deliver data-driven insights at an executive level · Having knowledge of India’s Economy and its challenges. · Capable of handling large primary datasets / experience working with primary agriculture datasets. · Knowledge of various data analysis tools like R or Stata. · Proficiency in SQL and programming skills in Python or R · Solid experience in and knowledge of Tableau and Microsoft PowerBI, having built your own dashboards · Well versed with data visualization techniques and soft wares. · Embody BYST’s mission, vision, and values Job Type: Full-time Pay: ₹100,000.00 - ₹125,000.00 per month Benefits: Health insurance Leave encashment Schedule: Day shift Weekend availability Work Location: In person Application Deadline: 31/07/2025 Expected Start Date: 04/08/2025

At Relinns Technologies , we live and breathe innovation, reliability, and speed! Founded by an IIM alumnus, we have established ourselves as a fast-growing tech company, pushing boundaries and crafting cutting-edge solutions for global clients like Apollo Tyres, Khatabook, and Manchester City Football Club . Our in-house product BotPenguin , a leading AI-powered chatbot builder, is revolutionizing how businesses engage with customers. We believe in fostering a culture of learning, collaboration, and ownership , ensuring that every team member thrives in an intellectually stimulating and supportive work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our engineers to build, innovate, and grow! BotPenguin BotPenguin is an advanced SaaS-based chatbot builder that leverages AI-driven automation for seamless customer engagement. Our platform integrates multiple channels and provides businesses with a scalable, intuitive, and cost-effective chatbot solution. Visit our website here: https://botpenguin.com/ Key Highlights 59,000 plus customer onboarded 140+ Partners Customer across 193 countries 4 Million messages triggered per month Company Culture Relinns is dedicated to fostering a collaborative and innovative work environment, where creativity meets efficiency. We uphold core values such as Responsibility & Ownership, Integrity, Collaboration, Taking Initiatives, and Excellence. We support a healthy work-life balance with flexible working hours and engage our team with weekly fun activities aimed at team building. At Relinns, we prioritize a culture of learning and growth, focusing on continuous development across all areas. Our supportive environment fosters both personal and professional advancement, empowering our team members to excel in their roles. The Role We are looking for an enthusiastic HR Intern who is passionate about designing, implementing, and monitoring the infrastructure, to collaborating with other team members to develop automation strategies and deployment processes. Someone who can become an integral part of the team, making every problem of the platform a problem of their own, and solving them accordingly. What you need for this role Students pursuing any bachelor’s or higher degree in any subject. Must be proficient in using MS Office (MS-Word, MS-Excel, MS-Ppt). Basic understanding of full-cycle recruitment and organizational skills. Must have a passion for research, to learn, and to grow. Must be self-motivated and have the ability to perform under pressure. Must be available for a full-time (in-office) internship for six (6) months. What you will be doing Assist in screening resumes of candidates. Manage job advertisements on job portals and social networks. Create & update all the sheets/reports related to the HR Process. Design and update job descriptions as and when required. Review potential candidates from various job portals & social networking sites. Interview potential candidates (via Phone, Video, and In-Person). Follow the entire recruitment process for hiring of any profile. Responsible for conducting all interview rounds for the shortlisted candidates. Responsible for hiring of all engagement types. Top reasons to work with us Gain hands-on experience in a fast-paced environment where new challenges arise every day. Work alongside a team of exceptionally talented individuals, expanding your professional network and exposing you to new HR concepts and technologies. Enjoy a friendly and high-growth work environment that fosters not only learning and development but also personal growth. Receive competitive compensation and valuable experience that will help pave the way for a successful career in human resources. Job Types: Full-time, Fresher, Internship Pay: ₹10,000.00 - ₹12,000.00 per month Schedule: Day shift Fixed shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): How many months of HR Recruitment internship experience do you have? Work Location: In person

At Relinns Technologies , we live and breathe innovation, reliability, and speed! Founded by an IIM alumnus, we have established ourselves as a fast-growing tech company, pushing boundaries and crafting cutting-edge solutions for global clients like Apollo Tyres, Khatabook, and Manchester City Football Club . Our in-house product BotPenguin , a leading AI-powered chatbot builder, is revolutionizing how businesses engage with customers. We believe in fostering a culture of learning, collaboration, and ownership , ensuring that every team member thrives in an intellectually stimulating and supportive work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our engineers to build, innovate, and grow! BotPenguin BotPenguin is an advanced SaaS-based chatbot builder that leverages AI-driven automation for seamless customer engagement. Our platform integrates multiple channels and provides businesses with a scalable, intuitive, and cost-effective chatbot solution. Visit our website here: https://botpenguin.com/ Key Highlights 59,000 plus customer onboarded 140+ Partners Customer across 193 countries 4 Million messages triggered per month The Role As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2–5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Schedule: Day shift Fixed shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product or data analyst in SaaS or Tech based: 2 years (Required) Work Location: In person

Sr. Engineer - IVA CHATBOT Immediate Joiners Are Preferred Shift - 2 : 00PM TO 11 : 00PM Company Overview Our client is a leading financial institution focused on leveraging cutting-edge technology to provide seamless, personalized customer experiences. As part of their digital transformation efforts, they are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort. Key Responsibilities Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions. Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis. Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions. Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses. Continuously optimize models based on user feedback and data-driven insights to improve performance. Integrate IVA/chat solutions with internal systems such as CRM and backend databases. Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards. Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability. Required Skills And Qualifications Bachelors or masters degree in computer science, Data Science, AI/ML, or a related field. 3+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect AWS Bedrock experience with Sage maker will have added advantage Solid understanding of API integration and experience working with RESTful services. Strong problem-solving skills, attention to detail, and ability to work independently and in a team. Excellent communication skills in English, both written and verbal. Preferred Qualifications Experience in financial services or fintech projects. Knowledge of data security best practices and compliance requirements in the financial sector. Work Schedule This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours. (ref:hirist.tech)

Overview PepsiCo Data BI & Integration Platforms is seeking a Midlevel Cloud Platform technology leader, responsible for overseeing the deployment, and maintenance of big data and analytics cloud infrastructure projects on Azure/AWS for its Global corporate functions (Finance, Integrated Business Planning). The ideal candidate will have hands-on experience with Azure/AWS services - Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation. Responsibilities Implement and support application migration, modernization, and transformation projects, leveraging cloud-native technologies and methodologies. Implement cloud infrastructure policies, standards, and best practices, ensuring cloud environment adherence to security and regulatory requirements. Design, deploy and optimize cloud-based infrastructure using Azure/AWS services that meet the performance, availability, scalability, and reliability needs of our applications and services. Drive troubleshooting of cloud infrastructure issues, ensuring timely resolution and root cause analysis by partnering with global cloud center of excellence & enterprise application teams, and PepsiCo premium cloud partners (Microsoft, AWS). Manage cloud-native solutions with integrated service management workflows across platforms like Azure or AWS. Design and implement ITSM integrations (e.g., ServiceNow) to streamline incident response, change management, and automated service delivery. Leverage Generative AI models to drive intelligent automation—enabling self-service support, chatbot agents, and proactive remediation across IT operations. Collaborate cross-functionally to ensure secure, scalable, and observability-driven systems aligned with enterprise reliability goals. Establish and maintain effective communication and collaboration with internal and external stakeholders, including business leaders, developers, customers, and vendors. Develop Infrastructure as Code (IaC) to automate provisioning and management of cloud resources. Write and maintain scripts for automation and deployment using PowerShell, Python, or Azure/AWS CLI. Work with stakeholders to document architectures, configurations, and best practices. Knowledge of cloud security principles around data protection, identity and access Management (IAM), compliance and regulatory, threat detection and prevention, disaster recovery and business continuity. Qualifications Bachelor’s degree in computer science. At least 6 to 8 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 4 years in a technical leadership role Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps. Deep expertise in cloud platforms (Azure, AWS, or GCP), with experience designing scalable, secure infrastructure and automated workflows. Strong knowledge of ITSM systems like ServiceNow or Jira, including integration development, API management, and process automation. Familiarity with Generative AI concepts, LLMs, and applying AI solutions to automate support, enhance observability, and drive intelligent operations. Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets. Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible. Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences. Certifications in Azure/AWS platform administration, networking and security are preferred. Strong self-organization, time management and prioritization skills A high level of attention to detail, excellent follow through, and reliability Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams Strategic thinker focused on business value results that utilize technical solutions Strong communication skills in writing, speaking, and presenting Capable to work effectively in a multi-tasking environment. Fluent in English language.

We are seeking talented individuals at multiple levels (Developer, Consultant, Lead, and Architect) to design, develop, and optimize chatbots and virtual assistants using the Kore.ai platform . Whether you''re a hands-on coder, an integration specialist, a strategic consultant, or an AI architect, this role offers exciting opportunities to shape innovative conversational AI solutions. Responsibilities: Develop and deploy chatbots using Kore.ai. Implement NLP models and machine learning techniques for improved chatbot interactions. Integrate chatbots with third-party applications via APIs. Act as a subject matter expert on Kore.ai chatbot implementations. Collaborate with business stakeholders to define chatbot strategies. Oversee chatbot development projects from inception to deployment. Lead technical teams in chatbot design, customization, and integration. Architect scalable bot frameworks for enterprise solutions. Define end-to-end chatbot architecture within enterprise environments. Establish governance models for chatbot scalability and optimization. Research and integrate advanced AI automation, voice technologies, and multimodal interfaces . Primary Skills Strong expertise in Kore.ai chatbot development, customization, and integrations. Proficiency in Java, Python, or JavaScript for bot programming. Experience with APIs, cloud platforms (AWS, Azure, GCP), and databases. Understanding of NLP, machine learning, and sentiment analysis. Knowledge of security best practices, authentication, and chatbot privacy standards. Familiarity with Agile methodologies, DevOps, and CI/CD workflows. What Youll Love About Working Here ChoosingCapgeminimeans having the opportunity to make a difference, whether for the worlds leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesnt look as bright as youd like, you have the opportunity to make changeto rewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensiveLearning & Developmentprograms. With us, you will experience aninclusive, safe, healthy, andflexiblework environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in ourCorporate Social ResponsibilityandSustainabilityinitiatives. And whilst you make a difference, you will also have a lot offun. Location - Gurugram,Noida,Pune,Mumbai,Hyderabad,Kolkata,Chennai

Your Role Hands- on experience in developing chatbots using Dailogflow CX Experience in architecting and building AI powered chatbot applications using platforms such asDialogflow CX Experience in designing/developing user-centric conversation experiences involving chat, text or voice Labels that are used by Conversational Architects in the Conversation Nodes can be considered as Pages in Dialogflow Your Profile Sound knowledge ofcloud platforms(GCP/AWS/Azure) Experience in integrating APIs usingNodeJSandPython Construct intents, entities, and annotations in Dialogflow tool WriteAPI documentationthat outlines endpoints that Customers need to implement the CCAI on their end Liaise with the Customer and Data Architect on use case requirements and APItechnical requirements What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry''s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you canbring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internalsports events, yoga challenges, or marathons. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges. About Capgemini Location - Bengaluru,Mumbai,Pune,Chennai,,Hyderabad