29 Aiml Solutions Jobs

Genpact is a global professional services and solutions firm dedicated to shaping the future and delivering exceptional outcomes. With over 125,000 employees in 30+ countries, we are fueled by curiosity, entrepreneurial spirit, and a commitment to creating enduring value for our clients. Our purpose, the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises worldwide, including Fortune Global 500 companies. We leverage our deep business and industry expertise, digital operations services, and proficiency in data, technology, and AI to make a significant impact. We are currently looking for a talented individual to join us in the role of Assistant Manager / Manager/ Senior Manager as an Azure Full Stack Developer. The ideal candidate will possess a robust background in both front-end and back-end development, with a specialized focus on Azure services, data extraction, and AI/ML solutions. They should have extensive experience with Azure Cloud services, including Azure AI Service, Cognitive Services, Azure Data Factory (ADF), Azure Functions, Azure Logic Apps, and data pipeline construction. **Responsibilities:** - Design, develop, and maintain full-stack applications using Azure services. - Implement and optimize data extraction processes utilizing Azure Doc Intelligence, Azure Data Factory, and other relevant tools. - Develop and deploy AI/ML models with Azure Machine Learning and other AI services. - Implement DevOps practices, including CI/CD pipelines, using Azure DevOps. - Develop and maintain MLOps pipelines for efficient deployment and monitoring of machine learning models. - Collaborate with cross-functional teams to define, design, and implement new features. - Ensure application performance, quality, and responsiveness. - Identify and resolve bottlenecks and bugs. - Write efficient, reusable, and reliable Python code for various applications and services. - Manage cloud deployments to guarantee scalability, reliability, and security of cloud-based applications. - Work closely with teams to define project requirements and deliver high-quality solutions. - Stay informed about the latest industry trends and technologies to ensure the team adopts best practices. **Qualifications:** *Minimum Qualifications:* - Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience as a Full Stack Developer focusing on Azure services. - Proficiency in back-end technologies like Node.js or Python. - Experience with Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Machine Learning, and other AI/ML tools. - Familiarity with database technologies like SQL Server, Cosmos DB, or similar. - Strong problem-solving skills and the ability to work independently and collaboratively. - Excellent communication skills and keen attention to detail. *Preferred Qualifications/Skills:* - Experience with DevOps practices and tools like Azure DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes). - Knowledge of data visualization tools such as Power BI. - Certifications in Azure or related technologies. If you are passionate about innovation, cutting-edge technology, and driving impactful change, we invite you to join us in this exciting role as an Azure Full Stack Developer at Genpact.,

Qualcomm India Private Limited is a leading technology innovator that is dedicated to pushing the boundaries of what's possible to enable next-generation experiences. As a Qualcomm Systems Engineer, you will be involved in researching, designing, developing, simulating, and validating systems-level software, hardware, architecture, algorithms, and solutions to facilitate the development of cutting-edge technology. Collaboration across functional teams is essential to ensure that system-level requirements and standards are not only met but exceeded. In this role, you will be part of the AI SW team at Qualcomm, focusing on advancing Artificial Intelligence across various business segments such as Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack utilizes Qualcomm chips" heterogeneous computing capabilities to enable the execution of trained neural networks on devices without the need for a cloud connection. As a Senior Lead Engineer, your contributions will have a direct impact on billions of devices globally. Key Responsibilities: - Lead the design, development, and implementation of AI/ML solutions across multiple domains. - Collaborate with cross-functional teams to seamlessly integrate AI/ML components within the broader framework. - Address and resolve issues related to AI models fine-tuning, quantization, compression, and graph level optimizations to ensure high performance and accuracy. - Conduct in-depth research on industry trends and innovations in AI/ML to adopt best practices and deliver optimal solutions. - Develop and optimize quantization techniques for AI/ML models to ensure efficient execution on Qualcomm hardware. - Manage project timelines, objectives, and goals effectively while utilizing resources across functional areas efficiently. - Mentor and coach junior engineers, providing them with development experiences and networking opportunities. Qualifications: - Bachelor's degree in Engineering, Computer Science, or a related field with a minimum of 4+ years of experience in Software engineering. - Experience with software architecture, programming languages, and tools/frameworks such as PyTorch, TensorFlow, and ONNX. - Proficiency in C++ and Python, along with a strong understanding of data structures and algorithms. - Hands-on expertise in deep learning frameworks like ONNX and PyTorch. - In-depth knowledge of various AI model architectures, quantization, calibration algorithms, and machine learning compiler techniques. - Excellent analytical, development, and debugging skills, and a good understanding of SW design patterns and philosophies. - Knowledge of machine learning runtimes and AI model efficiency toolkit is a plus. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, you can contact Qualcomm to request reasonable accommodations. It is expected that all employees abide by applicable policies and procedures, including security measures regarding the protection of confidential information. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. If you have any inquiries about this role, please reach out to Qualcomm Careers directly.,

Genpact is a global professional services and solutions firm with a workforce of over 125,000 employees in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we transform leading enterprises worldwide, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people through deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a qualified individual to join our team in the position of Assistant Manager / Manager/ Senior Manager as an Azure Full Stack Developer. The ideal candidate for this role should possess a strong background in both front-end and back-end development, with a focus on Azure services, data extraction, and AI/ML solutions. Extensive experience with Azure Cloud services is essential, including Azure AI Service, Cognitive Services, Azure Data Factory (ADF), Azure Functions, Azure Logic Apps, and building data pipelines. **Responsibilities:** - Design, develop, and maintain full-stack applications using Azure services. - Implement and optimize data extraction processes utilizing Azure Doc intelligence, Azure Data Factory, and relevant tools. - Develop and deploy AI/ML models using Azure Machine Learning and other AI services. - Implement and manage DevOps practices, including CI/CD pipelines, using Azure DevOps. - Develop and maintain MLOps pipelines for streamlined deployment and monitoring of machine learning models. - Collaborate with cross-functional teams to define, design, and deliver new features. - Ensure application performance, quality, and responsiveness. - Identify and resolve bottlenecks and bugs. - Write efficient, reusable, and reliable Python code for various applications and services. - Oversee cloud deployments to ensure scalability, reliability, and security of cloud-based applications. - Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions. - Stay informed about the latest industry trends and technologies to maintain best practices. **Qualifications:** **Minimum Qualifications:** - Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience as a Full Stack Developer focusing on Azure services. - Proficiency in back-end technologies like Node.js or Python. - Experience with Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Machine Learning, and other AI/ML tools. - Familiarity with database technologies like SQL Server, Cosmos DB, or similar. - Strong problem-solving skills, ability to work independently or as part of a team. - Excellent communication skills and attention to detail. **Preferred Qualifications/Skills:** - Experience with DevOps practices and tools like Azure DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes). - Knowledge of data visualization tools such as Power BI. - Certifications in Azure or related technologies. If you meet the qualifications and are ready to take on this challenging role, we invite you to apply for the position of Assistant Manager at our Gurugram location. This is a full-time opportunity for individuals with a Bachelor's degree or equivalent education level. The job posting date is March 4, 2025, with an unposting date of August 31, 2025. Join us and be part of our dynamic team shaping the future with innovative solutions in the digital realm.,

As a software and product innovation professional at PwC, you will be at the forefront of developing cutting-edge software solutions and driving product innovation to cater to the evolving needs of clients. Your role will encompass combining technical expertise with creative thinking to deliver innovative software products and solutions. Specifically in software engineering at PwC, your focus will be on developing inventive software solutions that facilitate digital transformation and enhance business performance. Your knowledge will be instrumental in designing, coding, and testing cutting-edge applications that revolutionize industries and provide exceptional user experiences. Joining PwC Acceleration Centers (ACs) presents you with a significant opportunity to actively support various services ranging from Advisory to Assurance, Tax, and Business Services. Working within our innovative hubs, you will engage in challenging projects and offer distinctive services to bolster client engagements through enhanced quality and innovation. Additionally, you will partake in dynamic and digitally enabled training programs aimed at fostering the growth of your technical and professional skills. As a member of the Cloud Engineering Data & AI team, your responsibilities will include leading and overseeing complex Java programs, aligning them with business strategy, and delivering measurable outcomes. In the capacity of a Manager, you will motivate and inspire teams, leveraging their strengths to meet client expectations while upholding exceptional quality standards. Your key responsibilities will include managing the development of Java microservices applications, mentoring junior developers to enhance their coding skills, collaborating with product teams to define technical requirements, maintaining quality code through rigorous testing practices, analyzing system performance and implementing enhancements, fostering a culture of innovation and agile development, upholding coding standards and practices, and effectively driving project timelines and deliverables. Requirements: - Bachelor's Degree - 6 years of experience in Java, Spring Boot, Microservices - Oral and written proficiency in English is required Desired Skills: - Proven leadership in architecting AI/ML solutions - Hands-on experience with DevOps practices - Strong communication and interpersonal skills - Leadership in managing cross-functional teams in complex projects - Designing and reviewing Java applications for performance optimization - Guiding teams in microservices architecture - Knowledge of containerized deployments,

As an Assistant Manager / Manager/ Senior Manager - Tech lead Generative AI at Genpact, you will play a crucial role in leading and mentoring a team of developers to drive technical excellence and ensure successful project delivery. Your responsibilities will include designing, developing, and deploying AI/ML solutions and AI Agents to address complex business challenges. You will be utilizing Azure Cloud services such as Azure AI Service, Cognitive Services, ADF, Azure Functions, and Azure Logic Apps to build scalable and efficient solutions. Additionally, you will be responsible for building and managing data pipelines, overseeing cloud deployments, and extracting data using Azure Document Intelligence and AI Builder to drive data-driven decision-making. You will collaborate with cross-functional teams to define project requirements, stay updated with the latest industry trends and technologies, troubleshoot and resolve technical issues, and conduct code reviews to ensure adherence to coding standards and best practices. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, experience in software development focusing on AI/ML solutions and Azure Cloud services, proficiency in Python, strong problem-solving skills, excellent communication and interpersonal skills, and the ability to work in a fast-paced environment. Understanding of Generative AI and Large Language Models is essential. Preferred qualifications include a Master's degree in a related field, certifications in Azure Cloud services or AI technologies, experience with the Power Platform and Copilot Studio, as well as familiarity with Agile methodologies and project management tools. If you are a highly skilled and experienced individual with a passion for technology and innovation, we encourage you to apply for this exciting opportunity to be a part of our dynamic team at Genpact.,

Qualcomm India Private Limited is a leading technology innovator that is dedicated to enabling next-generation experiences and driving digital transformation to create a smarter, connected future for all. As a Qualcomm Systems Engineer, your role will involve researching, designing, developing, simulating, and validating systems-level software, hardware, architecture, algorithms, and solutions that contribute to cutting-edge technology development. You will collaborate with cross-functional teams to ensure that system-level requirements and standards are not only met but exceeded. The AI SW team at Qualcomm is focused on advancing Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. Leveraging Qualcomm chips" heterogeneous computing capabilities, the AISW stack enables the execution of trained neural networks on devices without requiring a cloud connection. This results in neural network models running efficiently on Snapdragon platforms, impacting billions of devices globally. As a Senior Lead Engineer, you will play a crucial role in shaping the future of AI technology. **Key Responsibilities:** - Lead the design, development, and implementation of AI/ML solutions in diverse domains. - Collaborate with cross-functional teams to integrate AI/ML components seamlessly within the broader framework. - Address issues related to AI model finetuning, quantization, compression, and graph-level optimizations to ensure high performance and accuracy. - Utilize analytical skills to gather, integrate, and interpret information for problem-solving. - Research industry trends and innovations in AI/ML to adopt best practices. - Develop and optimize quantization techniques for efficient execution on Qualcomm hardware. - Manage project timelines, objectives, and resources efficiently. - Mentor and coach junior engineers for their professional growth. **Minimum Qualifications:** - Bachelor's degree in Engineering, Computer Science, or a related field with 4+ years of software engineering experience. - OR Master's degree in Engineering, Computer Science, or a related field with 3+ years of software engineering experience. - Experience in software architecture, programming languages, and tools/frameworks like PyTorch, TensorFlow, and ONNX. **Preferred Qualifications:** - Proficiency in C++/Python, data structures, and algorithms. - Hands-on expertise in deep learning frameworks (e.g., ONNX, PyTorch). - In-depth knowledge of various AI model architectures and quantization techniques. - Understanding of machine learning compiler techniques and design patterns. - Knowledge of machine learning runtimes and AI model efficiency toolkits is a plus. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. The company expects its employees to adhere to all applicable policies and procedures, including those related to the protection of confidential information. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. For more information about this role, please contact Qualcomm Careers.,

As an AIML Engineer with 4+ years of experience located in Bopal, Ahmedabad (on-Site), your main responsibilities will include designing, developing, and implementing AIML solutions to address complex business challenges. You will collaborate closely with cross-functional teams to grasp project requirements and seamlessly integrate AIML capabilities into existing systems. Your core focus will be on Algorithm Development, where you will create and deploy machine learning algorithms for tasks such as natural language processing and sentiment analysis. Your expertise will be crucial in fine-tuning and optimizing these algorithms to enhance performance and accuracy. In the realm of Data Processing and Analysis, you will be expected to preprocess and analyze extensive datasets to uncover valuable insights and patterns. Working alongside data engineers, you will ensure the quality and integrity of the data being used. Model Training and Evaluation will be another key area of your role. You will be responsible for training machine learning models using relevant frameworks and libraries, evaluating their performance, and continuously refining and enhancing them. Integration and Deployment will be a significant part of your duties, involving the seamless integration of AIML solutions into existing applications and systems. Collaboration with software developers is essential to deploy these models effectively in production environments. Your role will also entail thorough Documentation practices, where you will document code, algorithms, and models for future reference and collaboration. Additionally, you will prepare technical documentation for end-users and stakeholders to ensure transparency and understanding. Staying Updated on Industry Trends is crucial in this dynamic field. You will be expected to keep yourself informed about the latest developments in AIML and related technologies, incorporating emerging trends and best practices to optimize existing solutions and stay ahead of the curve.,

You should have a Bachelor's degree in Computer Science, Engineering, Business, or a related technical field, or equivalent practical experience. Your experience should include 15 years in technology, product management, consulting, or a related field, with a focus on AI/ML solutions. Additionally, you should have 7 years of experience in a senior leadership role managing teams (20+ individuals), focusing on AI strategy, solution development, or product delivery. It is important to have experience in senior stakeholder engagement, including working with executive-level decision-makers. Moreover, you should have experience in defining and executing an AI strategy, and developing prototypes into products. It would be preferable if you possess a Master's degree or PhD in a relevant technical field (e.g., AI, Machine Learning, Data Science). You should also have experience with Agentic AI principles and applications, particularly in an enterprise context. A strong penchant for and existing knowledge of the advances in AI, especially Enterprise AI, is desired. Deep understanding of HR operations, processes, and product areas is also essential. Furthermore, you should have the ability to manage complex organizational change and overcome barriers to adoption for new technology solutions. An imagination and vision for how these advances can impact an HR function, HR personas, and HR critical journeys that drive stellar experience, aim for efficiency, and enable effectiveness for Googlers would be beneficial. The Google People Services, Operations function is the services and program management group within People Operations that makes HR stuff easy and intuitive for Googlers. The global team optimizes people processes, from problem definition to execution, partnering with teams across People Operations and engineering to innovate and technology in the way they attract, retain, and grow Googlers worldwide. The focus is on providing an amazing experience to past, present, and future Googlers, delivering operational services, managing the contingent workforce, and implementing HR programs across various countries. Members of the Operations team have the opportunity to create, develop, and implement complex global operations regardless of location or level of experience. As the Director of AI Garage for People Operations at Google, you will be a pivotal senior leader responsible for shaping and executing the future of AI-driven innovation within the People Ops landscape. This role is highly impactful and pioneering for business transformation using AI. You will lead a talented team focused on identifying transformative use cases within People Operations with an emphasis on Agentic AI. Leading the successful setup of the first ever dedicated in-house AI Garage, you will be responsible for rapid envisioning, prototyping, iterating, launching, landing, and ongoing maintenance of AI solutions for various POps personas and Critical User Journeys (CUJs). You will serve as the key interface between strategic vision and operational execution, closely partnering with HR Engineering teams. Responsibilities include defining, articulating, and evolving a compelling AI strategy for People Operations aligned with broader Google and POps organizational goals, developing and advocating thought leadership on how AI can transform an HR function, partnering with engineers and product managers to develop prototypes and production-ready solutions, building and maintaining strong relationships with senior leaders and teams across People Operations, process owners, Centers of Excellence, and especially HR Engineering, and developing and executing comprehensive change management strategies, establishing a robust framework for documenting insights, challenges, and successes.,

You are an innovative thinker passionate about driving AI/ML solutions in financial planning and analysis. You have found the right team. As an Applied AI/ML Lead in our Firmwide Planning & Analysis (FP&A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities for our firm. You will be responsible for partnering across the organization to provide AI/ML-based solutions, oversight, and coordination of advanced analytical techniques. Our Data Science Center of Excellence (COE) teams are responsible for a wide range of activities including analyzing business problems, experimenting with statistical and machine learning models, developing solutions with state-of-the-art machine learning and deep learning algorithms, and advising cross-functional teams on how to enhance productivity and efficiencies. Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&A, Information Retrieval/Summarization, Search, etc. Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap. Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production. Communicate findings and insights through clear and concise visualizations and reports. Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&A organization. Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization. Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity. Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making. Required qualifications, capabilities, and skills. MS or PhD in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning. Minimum 3 years of experience in data science, machine learning, or a related role. Proficiency in programming languages such as Python or R. Experience with LLMs and Prompt Engineering techniques. Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred qualifications, capabilities, and skills. Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models. Proven track record in successful development and deployment of AI/ML based solutions to solve large and complex business operations. Experience in leading a team and/or supervising and mentoring junior analysts.,

You will be joining our prestigious insurance company as a highly skilled and experienced AI/ML, Generative AI Lead. In this role, you will be responsible for leading a team of AI/ML professionals to drive the development and implementation of AI and machine learning solutions tailored for the insurance domain. Your contributions will be vital in enhancing operational efficiency, improving customer experience, and innovating new insurance products. Your key responsibilities will include leading, mentoring, and managing a team of AI/ML engineers and data scientists to foster a collaborative and high-performance culture. You will develop and implement AI/ML strategies aligned with the company's business goals, design and deploy AI and machine learning models for various insurance functions, explore generative AI techniques for product development and risk assessment, and oversee data management processes to ensure data quality and integrity. Collaboration with cross-functional teams, staying updated with advancements in AI/ML, ensuring compliance with industry regulations and ethical standards, and implementing monitoring frameworks to assess model performance will also be part of your responsibilities. Additionally, you will lead the development and execution of innovative analytics solutions, collaborate with business stakeholders to establish success metrics, promote the transition of successful Proof-of-Concept projects into production, provide technical guidance to team members, stay informed about emerging technologies in AI/ML and GenAI, and evaluate potential applications and business impact through strategic research. To excel in this role, you should hold a Master's degree in Computer Science, Data Science, Machine Learning, or a related field, with a minimum of 5 years of experience in AI/ML, including at least 3 years in a leadership role. Proficiency in programming languages like Python, R, and Java, experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, cloud technology expertise in Azure, GCP, AWS, domain knowledge in the insurance industry, strong analytical and communication skills, project management experience, and a proven track record in driving innovation in AI/ML and generative AI are essential qualifications.,

As a technically proficient and solution-oriented AI & Automation Solutions Engineer at DESRI India Private Limited, you will play a crucial role in supporting DESRI's portfolio of renewable energy projects. You will collaborate with a diverse team located in the U.S. and Hyderabad, as well as external stakeholders, to drive efficiency and value through the application of AI/ML solutions and automation workflows. Your responsibilities will include developing and deploying automation workflows using various tools such as Python, Zapier, and ChatGPT. You will also evaluate and test new AI/ML technologies for potential integration within the organization. Participation in team stand-ups, sprint planning, and code reviews will be essential to ensure alignment on project goals and delivery quality. Additionally, you will be responsible for presenting project updates and deliverables to senior stakeholders and taking ownership of projects from scoping to execution. To excel in this role, you should possess a BE/Btech or ME/MTech in Computer Science, IT, or a related field, with at least 2-4 years of hands-on experience. Candidates with expertise in automation tools like Zapier and experience in implementing Retrieval-Augmented Generation (RAG) solutions will be preferred. Proficiency in designing, building, and maintaining full-stack web applications, including UI, APIs, DevOps, and databases, will be an added advantage. A strong foundation in AI/ML concepts, Python, databases, and web development (React, APIs) is crucial. Furthermore, you must demonstrate excellent analytical abilities, effective communication and organizational skills, and meticulous attention to detail. Collaboration with teams across different time zones and jurisdictions is also a key requirement for this role.,

Togglr is a fast-growing and agile tech company that is dedicated to helping global enterprises modernize their IT systems, protect their data, and accelerate innovation through AI, analytics, and secure cloud solutions. We are focused on solving real business problems and driving measurable impact by integrating our solutions seamlessly with enterprise platforms to enhance productivity, accuracy, and decision-making. As a Digital Sales Manager at Togglr, you will play a crucial role in generating leads, driving sales, and enhancing communication to fuel digital growth and success. Your responsibilities will include familiarizing yourself with all the products and services offered by our company, identifying potential clients and prospects through market research, cold calling, networking, and other lead generation techniques, procuring new clients through various channels, and suggesting upgrades or additional products and services that may be of interest to clients. We are looking for a candidate who possesses strong interpersonal skills, excellent communication abilities, and a customer-centric approach. Proficiency in both written and verbal English is essential for this role. Ideal candidates should have previous experience in AI/ML solutions, B2B, SaaS, and cloud sales, along with strong analytical and problem-solving skills. Experience in digital sales strategy and account management will be an added advantage. The ability to work collaboratively in a fast-paced environment is key, and a Bachelor's degree in Business, Marketing, or related field is preferred. Join us at Togglr if you are passionate about building the future of technology with real-world impact and thrive in a dynamic and collaborative environment where innovation is encouraged and valued. At Togglr, we are committed to continuous learning, experimentation, and empowering individuals to grow into leaders. If you are excited about making a difference through cutting-edge projects in data science, cloud, and AI, alongside a team that values curiosity, speed, and excellence, Togglr is the place to be.,

The Applications Development Intermediate Programmer Analyst position is an intermediate level role where you will be responsible for contributing to the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. Your main objective will be to participate in applications systems analysis and programming activities. Utilizing your knowledge of applications development procedures and concepts, as well as basic knowledge of other technical areas, you will identify and define necessary system enhancements. This includes using script tools, analyzing/interpreting code, and consulting with users, clients, and other technology groups to recommend programming solutions. You will also be involved in installing and supporting customer exposure systems and applying fundamental knowledge of programming languages for design specifications. As an Intermediate Programmer Analyst, you will analyze applications to identify vulnerabilities and security issues, conduct testing and debugging, and serve as an advisor or coach to new or lower-level analysts. You will be responsible for identifying problems, analyzing information, and recommending and implementing solutions. Additionally, you will operate with a limited level of direct supervision, exercise independence of judgment and autonomy, and act as a subject matter expert to senior stakeholders and/or other team members. In this role, you will need to appropriately assess risk when making business decisions, demonstrate consideration for the firm's reputation, and safeguard Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations. You must apply sound ethical judgment regarding personal behavior, conduct, and business practices, as well as escalate, manage, and report control issues with transparency. Qualifications: - 2-5 years of relevant experience in the Financial Service industry - Intermediate level experience in Applications Development role - Clear and concise written and verbal communication skills - Strong problem-solving and decision-making abilities - Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: - Bachelor's degree/University degree or equivalent experience This job description provides an overview of the responsibilities and qualifications for the Applications Development Intermediate Programmer Analyst position. Other duties may be assigned as needed.,

You will have the opportunity to design and architect Generative AI solutions utilizing AWS services such as Bedrock, S3, PG Vector, Kendra, and SageMaker. Collaboration with developers to implement solutions and provide technical guidance throughout the development lifecycle will be a key responsibility. You will lead the resolution of complex technical issues and challenges in AI/ML projects, ensuring adherence to best practices and company standards. Navigating governance processes and obtaining necessary approvals for initiatives will be part of your role. Making critical architectural and design decisions aligned with organizational policies and industry best practices is essential. You will liaise with onshore technical teams, present solutions, and offer expert analysis on proposed approaches. Conducting technical sessions and knowledge-sharing workshops on AI/ML technologies and AWS services will also be part of your responsibilities. Evaluation and integration of emerging technologies and frameworks like LangChain into solution designs are expected. Developing and maintaining technical documentation, including architecture diagrams and design specifications, will be crucial. Mentoring junior team members and fostering a culture of innovation and continuous learning is an important aspect of the role. Collaboration with data scientists and analysts to ensure optimal use of data in AI/ML solutions will be necessary. Coordinating with clients, data users, and key stakeholders to achieve long-term objectives for data architecture is another key responsibility. Staying updated on the latest trends and advancements in AI/ML and cloud and data technologies is essential to excel in this role. Key experience for this role includes extensive experience (12-16 years) in software development and architecture, focusing on AI/ML solutions. A deep understanding of AWS services, especially those related to AI/ML (Bedrock, SageMaker, Kendra, etc.), is required. Proven track record in designing and implementing data, analytics, reporting, and/or AI/ML solutions is essential. Strong knowledge of data structures, algorithms, and software design patterns is expected. Proficiency in at least one programming language commonly used in AI/ML (e.g., Python, Java, Scala) and familiarity with DevOps practices and CI/CD pipelines are necessary. Understanding of AI ethics, bias mitigation, and responsible AI principles is important. Basic knowledge of data pipelines and ETL processes, with the ability to design and implement efficient data flows for AI/ML models, will be crucial. The primary location for this position is Gurgaon, and the schedule is from 12:00 PM to 8:30 PM. The job category is Advanced Analytics, and the posting end date is 30/08/2025.,

As an AI Tech Lead at our organization, you will play a crucial role in spearheading our Artificial Intelligence initiatives. Your responsibilities will include providing technical leadership, strategic direction, and hands-on contributions to the design, development, and deployment of AI-powered products and services. The ideal candidate for this role will possess a deep understanding of various AI domains and a successful track record of leading AI projects. Your role will involve: - Providing technical leadership and guidance to a team of AI Engineers and Data Scientists. - Defining the AI strategy and roadmap in alignment with the company's overall business objectives. - Leading the design and architecture of scalable and robust AI solutions leveraging Cloud platforms. - Driving the research, development, and implementation of Machine Learning models, including Deep Learning and Natural Language Processing. - Championing the exploration and adoption of Generative AI techniques and frameworks. - Leading the development and deployment of Agentic AI systems and workflows. - Ensuring the quality, performance, and reliability of AI solutions. - Collaborating with cross-functional teams to deliver impactful AI-driven features and products. - Staying updated on the latest advancements in AI and related technologies and evaluating their potential application within the company. - Mentoring and coaching junior AI team members to foster a culture of innovation and continuous learning. - Participating in pre-sales activities and technical presentations to clients. Required Skills & Experience: - Minimum 5-7 years of hands-on experience in developing and deploying AI/ML solutions. - Strong hands-on experience with Cloud platforms (e.g., AWS, Azure, GCP) for AI/ML workloads. - Deep hands-on experience in Data Science methodologies and techniques. - Extensive hands-on experience in developing and deploying Machine Learning models using frameworks like TensorFlow, PyTorch, scikit-learn. - Proven hands-on experience with Generative AI models and techniques such as Large Language Models, Diffusion Models. - Practical experience in building and deploying Agentic AI systems. - Strong understanding of data engineering principles and practices. - Excellent problem-solving, analytical, and communication skills. - Proven ability to lead and motivate technical teams. Preferred Qualifications: - Masters/Bachelors in Computer Science, Artificial Intelligence, or related field. - Experience with MLOps practices and tools. - Experience in deploying AI solutions in production environments at scale. - Industry certifications in relevant Cloud and AI technologies. - Publications or presentations in recognized AI conferences or journals. Join us for: - Opportunity to lead and shape the Data & AI practice in a fast-growing technology organization. - Work on cutting-edge data solutions for enterprise clients across diverse industries. - Collaborative and innovative culture with a focus on continuous learning. - Competitive compensation, benefits, and career growth opportunities. If you are a strategic thinker, hands-on architect, and an inspiring leader looking to drive impactful data initiatives, we encourage you to apply for this exciting opportunity.,

As the Senior Manager, Incentive Compensation Design & Operations Lead for Inflammation, Bone Health, & Cardiovascular units, you will play a pivotal role in coordinating delivery efforts across internal and external teams in AIN and India. Your responsibilities include managing relationships across various internal teams and functional groups while overseeing end-to-end incentive compensation (IC) management, encompassing design, analytics, operations, and platform innovation. You will serve as a strategic and operational partner to Amgen's U.S. Commercial organization. Your key responsibilities will involve acting as the main point of contact for the Inflammation and Bone Business Unit (IBBU) and Cardiovascular Business Unit (CBU) Incentive strategy and operations team in India. Additionally, you will be responsible for talent development, IC design and analytics, operational excellence, delivery, automation & AI implementation, continuous improvement, and business impact & collaborator management. To excel in this role, you are expected to hold a Master's degree with at least 10 years of experience in Incentive Compensation strategy and operations, or a Bachelor's degree with a minimum of 12 years of relevant experience. Leadership experience in managing people, teams, projects, and resources is essential. Preferred qualifications include familiarity with sales force effectiveness, sales operations, CRM systems, analytical skills, technical proficiency in relevant software and technologies, critical thinking abilities, project management skills, collaboration capabilities, and effective communication skills. You should be comfortable challenging the status quo, bringing innovative solutions, and driving process and systems innovation to enhance team effectiveness.,

Are you seeking a thrilling opportunity to become a part of a vibrant and expanding team in a fast-paced and challenging domain As an Analytics Solutions Manager specializing in Applied AI/ML and holding the title of Vice President within the Asset & Wealth Management (AWM) Risk Management team, your primary responsibility will be to conceptualize, create, and deploy advanced AI/ML solutions that cater to a variety of business requirements. Your focus will be on ensuring scalability and optimal performance. As a Generative AI/ML Specialist operating within the AWM Risk Management sector, you will play a critical role as a key member of an agile team dedicated to crafting and implementing cutting-edge generative AI and machine learning solutions. Your duties will revolve around offering strategic guidance in crafting and executing innovative generative AI/ML models and algorithms that drive business transformation and enhance decision-making processes. Your task will involve designing adaptable and scalable solutions that retain robustness at their core while being flexible enough to adapt to evolving business demands. Serving as a pivotal technical and strategic contributor, you will collaborate across various business functions to embed AI/ML capabilities that resonate with the firm's objectives. Furthermore, you will engage closely with leadership to provide insightful leadership, formulate strategic roadmaps, and assess emerging AI/ML technologies, necessitating a blend of technical acumen and strategic foresight. **Job Responsibilities:** - Design, develop, and implement advanced AI/ML solutions to address diverse business needs, ensuring scalability and performance. Enhance state-of-the-art Gen-AI models to support use cases like Document Q&A, Information Retrieval/Summarization, and Search. - Collaborate closely with leadership to establish the technical vision and execute strategic roadmaps, translating business requirements into actionable AI/ML specifications. - Lead AI/ML projects throughout the ML development lifecycle. Utilize agile methodology, define crucial milestones, and guarantee timely delivery. - Stay abreast of data science and machine learning advancements by collaborating with the internal AI/ML community to introduce innovative solutions to the AWM Risk organization. - Mentor junior data scientists and analysts, and devise training initiatives to boost AI/ML awareness and adoption within the team. - Develop and manage efficient data pipelines and workflows, ensuring data quality and integrity through meticulous cleaning, preprocessing, and validation. - Conduct exploratory data analysis to unveil trends and insights, perform statistical analysis and hypothesis testing to support data-driven decision-making. - Present findings through clear and impactful visualizations and reports, facilitating informed decision-making across the organization. **Required Qualifications, Skills and Capabilities:** - Bachelor's degree or higher in a quantitative field like Computer Science, Data Science, or Machine Learning, accompanied by 7+ years of experience. - Proficiency in programming languages such as Python or R, along with expertise in SQL and relational databases. - In-depth knowledge of machine learning, artificial intelligence, and statistical analysis and modeling techniques. - Strong problem-solving abilities, keen attention to detail, and the capacity to work autonomously and as part of a team. - Excellent communication and collaboration skills, inspiring and leading teams comprising both technical and non-technical members. **Preferred Qualifications, Skills and Capabilities:** - Proficiency with large language models (LLMs), prompt engineering techniques, and generative AI. - Sound background in natural language processing (NLP), deep learning methods, and experience in implementing ML solutions for insights, pattern detection, and forecasting. - Experience with Graph Databases, Large Graph Models (LGM), and GraphRAG applications.,

As the AI Solutions Architect, you will be responsible for designing and implementing AI/ML solutions to advance the ZL Platform. Your role involves collaborating with stakeholders to identify business needs, proposing technical solutions, and overseeing the implementation of the chosen solutions. You will partner with Engineering, Product, and Sales teams to secure design wins at customers, enabling the development and growth of ZL product features through customer feedback and PoC evaluations. Additionally, you will be accountable for the success, quality, and timely delivery of AI/ Machine Learning components. Acting as a problem solver, you will address organizational and process challenges by leveraging your technical expertise to bridge gaps, streamline operations, and facilitate the smooth execution of partnership initiatives. It is crucial to stay updated on AI and Data Engineering trends to enhance team performance and product quality. In terms of qualitative expectations, you are expected to foster a culture of innovation, continuous improvement, and excellence in software development. You should take ownership of problems, acquire necessary knowledge, and demonstrate the ability to work efficiently in an environment with loosely defined tasks and competing priorities. Collaboration with various teams within the organization, including Engineering/Research, Sales, Product, and Marketing, is essential. Effective verbal and written communication skills, as well as technical presentation abilities, are key requirements. A self-starter mindset with a passion for growth, enthusiasm for continuous learning, and the ability to share findings across the team are highly valued qualities. The ideal candidate should have experience working in AI/ML for over 10 years, preferably with vector databases, and possess a PhD or master's degree in computer science, Artificial Intelligence, or related disciplines. Knowledge of libraries such as PyTorch and transformers, quantization, model deployment, and fine-tuning LLM using PyTorch is preferred for this role.,

As the Senior Vice President (SVP) of Catastrophe Modelling & Exposure Management based in India, you will play a crucial strategic role within the company. Reporting directly to the EVP of Data & Analytics, you will be responsible for leading service delivery, driving capability growth, managing P&L, and spearheading digital transformation for the analytics business. Your primary responsibilities will include managing multi-service engagements encompassing catastrophe modelling, exposure management, data engineering, and analytics. You will oversee the delivery for one of the largest catastrophe teams supporting global insurance clients, ensuring consistent service standards and client satisfaction. Additionally, you will engage in governance discussions and strategic planning with clients to align on roadmaps, KPIs, and growth objectives. Collaboration with clients through workshops, conferences, and industry forums will be essential to explore innovation and transformation opportunities. In terms of operations leadership, you will define and implement the CAT and exposure analytics strategy to align with company growth and market trends. Promoting a culture of experimentation and hypothesis-driven solutions, you will establish centres of excellence for specific risk areas and expand analytics coverage to include underwriting, claims, and portfolio management. Developing efficient operating models and building capabilities for emerging risks will be key aspects of your role. You will take ownership of the P&L, overseeing end-to-end planning, execution, and profitability for the business. Tracking revenue, optimizing costs, and ensuring delivery excellence will be crucial elements in driving business success. Collaboration with technology and product teams to build scalable AI tools and IP assets will be essential for driving transformation and automation initiatives. As a leader, you will manage global teams and foster a culture of innovation and transformation. Mentoring senior leaders and influencing enterprise-wide strategy in capability building and operational excellence will be integral to your role. Talent development and knowledge management will involve establishing frameworks, recruiting and developing skilled teams, and creating internal training programs to enhance organizational capabilities. In terms of skills and experience, you should have over 18 years of experience leading global delivery, analytics, and technology teams in the P&C insurance industry. Proficiency in catastrophe modelling, exposure management, actuarial analytics, data engineering, and transformation is essential. Strong leadership, strategic thinking, and customer relations skills are required to succeed in this role. A master's degree in Mathematics, Statistics, Actuarial Science, Financial Management, or a related field is required, with advanced degrees preferred. At least 15 years of experience in catastrophe modelling or exposure management roles is necessary, along with proficiency in modelling software such as RMS, AIR, or equivalents. Strong analytical, problem-solving, and communication skills are essential, along with a background in insurance, reinsurance, or financial services. The compensation structure includes a base salary, performance bonus, and a full benefits package as per industry standard, along with a company laptop.,

You have 5 to 7 years of experience and are located in Pune. Your skills include Proposal Development, deal closure, understanding client requirements, and market analysis. As part of your job responsibilities, you will work closely with the sales team to develop relevant solutions and pitches for prospects. You will own the entire proposal development process/execution and deliver well-structured and high-quality proposals with strong solutioning in a timely manner. It is important to coordinate efficiently with Sales and understand client requirements, address their queries, walk them through the proposed solution, and help Sales close the deal. Keeping track of solutions in the market for different sectors, identifying key business challenges, and unmet needs to help develop solutions is crucial. Additionally, you will actively work on creating case studies and collaterals for the sales team, review and improve existing collateral materials, and collaborate with Sales and the technology team to develop more materials based on the expected business pipeline. Moreover, you will assist the sales team lead in effectively coordinating between operations and sales team to ensure timely support for pre-sales activities. Streamlining and organizing all pre-sales activities across practice areas, setting up SLAs and process flows, and tracking compliance are also part of your responsibilities. Taking measures to improve the quality of proposals and setting up a process to collect feedback from Sales is essential. The desired profile for this position includes excellent communication skills, both written and oral, as well as excellent pre-sales and solutioning skills. You should be able to understand unstructured requirements from the client and create related SoW and proposals. Skills in storyboarding, problem-solving, and insights generation are a must. It is important to have proven client engagement skills and be adept at sharing insights and recommendations that have tangible business impacts. You should have the ability to engage with clients alongside the sales team and lead discussions to win and execute engagements. Experience working with a Mid-size IT services company with strong expertise in extensive research (market intelligence) is required. Knowledge of working with international clients, specifically in the US, is a must. Technology knowledge in areas such as Product Engineering, Web & Mobile, frontend technologies, Cloud technologies, Data engineering, AI/ML Solutions, and Gen AI is also necessary for this role.,

As an Individual Contributor at CAW Technologies, you will play a crucial role in owning and closing deals for cutting-edge AI/ML solutions, fullstack product engineering, cloud & DevOps services, and dedicated engineering teams. Your primary responsibility will be to hunt new business, build a strong pipeline, and convert C-level relationships into revenue across US, EU, MEA, and APAC markets. You will be expected to develop and execute territory plans for target regions, manage the full sales cycle from prospecting to closure, and promote CAW's core offerings including custom software, digital transformation, staff augmentation, and dedicated teams. Building a strong pipeline through your CxO network, outbound campaigns, events, and referrals will be crucial in this role. It is essential to maintain accurate forecasts and opportunity data in HubSpot/Salesforce while consistently meeting or exceeding quarterly and annual quotas. To excel in this position, you must have at least 3 years of experience in selling dedicated engineering teams, with a proven track record of closing substantial deals across the US, UK, and EU markets. You should possess hands-on familiarity with bench-to-bill models, markups, and rapid talent ramp-up, along with an established network of hiring managers and CTOs for quick placements. This role does not involve VP/Director/P&L leadership responsibilities or large delivery team management. It is not focused on packaged products or SaaS license sales. The ideal candidate will hold a Bachelor's degree in Business/IT (an MBA is a plus) and have 6-10 years of experience in global IT services sales with verifiable quota attainment. A strong grasp of outsourcing models, RFP/RFQ processes, onshore/offshore delivery, cloud tech stacks, and startup-to-enterprise buying cycles is essential for success. Excellent written and verbal communication, negotiation, and presentation skills are required, along with a willingness to travel internationally as needed. Preferred skills include experience in growing staff augmentation accounts from 0 to $3M+ in under 18 months, working knowledge of AWS/Azure/GCP, and domain exposure in FinTech, HealthTech, Retail, OTT, etc. CAW Technologies offers a competitive base salary along with uncapped commission, designed to reward high-performing Individual Contributors in the 6-10 year experience band. Joining CAW will provide you with the opportunity to sell cutting-edge AI and engineering talent to global innovators, enjoy the autonomy of a startup with the resources of a 200-engineer studio, and have a fast-track path to Principal Seller or Regional Lead positions. At CAW, we are dedicated to building true product teams for our clients, applying manufacturing-style rigor to software development, obsessing over automation, DevOps, and clean code to deliver high-impact solutions for startups and enterprises alike. If you are ready to hunt the next $10M in global IT services and staff augmentation business, apply now and let's build awesome tech together.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

The role will oversee the strategic direction and execution of machine learning projects, working closely with data scientists, software engineers, and product teams. The aim is to enhance services through innovative AI/ML solutions, including building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and enhance customer experiences. Key Responsibilities: - Define and drive the strategic vision for machine learning initiatives. - Lead the development and optimization of machine learning models. - Supervise the preprocessing and analysis of large datasets. - Deploy and maintain ML solutions in production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models and make necessary adjustments. - Mentor and guide junior engineers and data scientists. - Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: - Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent. - Previous management experience. The company values Inclusion, Innovation, Collaboration, and Wellness, guiding the global team to prioritize customers while taking care of themselves, each other, and communities. Those interested in joining the team can visit https://about.pypl.com/who-we-are/default.aspx. Applicants are encouraged to apply regardless of any confidence gap or imposter syndrome.,

You will be part of the Emerging Tech Proof of Concept Team at London Stock Exchange Group (LSEG), working within the Data and Analytics operations function. As a member of this team, you will be responsible for delivering and supporting various Data Science capabilities. Operating in an Agile manner, your focus will be on prioritizing and delivering value efficiently while also considering long-term initiatives and technical capabilities to enhance our service offerings. Your role will involve owning the technical solutions developed by the team, developing functional modules for wider usage, and collaborating with cross-functional teams to implement innovative solutions. You will be responsible for creating Proof of Concepts and Minimum Viable Products (MVP) to validate different approaches for various use cases. Additionally, you will develop codebases and modules to support the deployment of AI/ML models using relevant technologies. Collaboration with Architects and Cloud engineers will be essential for integrating the developed solutions with Technology platforms. You will also work closely with the team to establish and oversee the evaluation criteria of POCs and MVPs, and provide support in other relevant areas when needed. Furthermore, you will collaborate with Operations and Technology teams to ensure successful project outcomes. To excel in this role, you should possess extensive experience as a Machine Learning Engineer with a track record of working on projects across all stages of the ML Lifecycle. Your expertise should include developing scalable solutions for use cases in Extraction and Reasoning using Python programming and SQL. Knowledge of MLOps approaches, AWS services, cloud environments, and AI/ML solution development and deployment will be crucial. Strong analytical, problem-solving, communication, and presentation skills are also required. By joining LSEG, a leading global financial markets infrastructure and data provider, you will become part of a diverse workforce that values individuality and encourages new ideas. The company is committed to sustainability and driving economic growth by supporting the transition to net zero and creating inclusive economic opportunities. As an employee, you will have access to a range of benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. Please be aware of LSEG's privacy notice which describes the personal information the company may hold about you, its usage, your rights, and how to contact LSEG as a data subject. If you are a Recruitment Agency Partner, it is your responsibility to ensure that candidates applying to LSEG are informed about this privacy notice.,

You will be responsible for assisting in building and validating machine learning models as well as performing data cleaning, transformation, and feature engineering. Additionally, you will conduct exploratory data analysis using Python or R, support model tuning, performance tracking, and documentation. Collaboration with the team to apply AI/ML solutions to business use cases will be a key part of your role. You will also prepare clear reports and visualizations to present findings effectively. Applexus is a global technology leader that offers business consulting and SAP services to customers in the retail, fashion, and consumer products industries. Established in 2005, Applexus prioritizes customer satisfaction by developing technology solutions that facilitate business transformation. Headquartered in Seattle, Washington, Applexus operates across various centers in North America (Seattle & Canada), the United Kingdom, and India (Trivandrum & Chennai). The company is dedicated to making a positive impact by serving communities worldwide.,