1417 Generative Ai Jobs - Page 5

As an Engineering IT Developer at Garrett Motion, you will play a crucial role in the Engineering IT 4.0 team as a key developer, contributing to the Engineering 4.0 transformation project in collaboration with Engineering teams and business stakeholders. Your primary objective will be to engage in software development activities, drive continuous improvement, and provide support for new development in product design validation from a software developer's perspective. Your responsibilities will include designing, deploying, and optimizing cloud-based applications and workflows related to Engineering Process Integration and Design Optimization. You will directly contribute to the enhancement of Ansys and similar engineering tools for running simulation projects in a fully automated mode. Additionally, you will actively participate in agile project management activities, providing regular updates to managers and stakeholders on project progress and risk mitigation. Your role will involve contributing to every sprint as a software developer, actively challenging and supporting the team. You will also engage in continuous improvement activities, implementing DevEx principles, coding best practices, and utilizing Kaizen methodologies. Collaboration with team members to enhance skill sets and provide support for skill development will be essential. In this position, you will be expected to approach problem-solving with an innovative mindset, leveraging new technologies and staying abreast of emerging trends. Your educational background should include a Bachelor's or Master's degree in Computer Science or a related field, with at least 4 years of relevant experience or an advanced degree with comparable experience. Key skills and knowledge required for this role include fluency in English, hands-on experience in object-oriented programming and Python scripting, as well as expertise in cloud-hosted applications/development. Familiarity with Ansys product family tools, integration technologies/architecture, and cloud-based APIs will be advantageous. Strong problem-solving skills, experience with Agile/scrum methodologies, and an understanding of Predictive/Generative AI and Machine Learning basics are also essential. Joining the Garrett Motion team at this exciting time will allow you to be part of a global innovator and technology leader in the automotive industry. With a focus on emission-reducing and zero-emission solutions, Garrett is committed to advancing sustainable motion through innovative turbocharging and electric boosting technologies. By combining mechanical and electric expertise, Garrett is at the forefront of redefining zero-emission automotive technologies. The Garrett Information Technology (IT) team is dedicated to understanding business needs, market challenges, and emerging technologies to deliver innovative services that enhance business flexibility and competitiveness both now and in the future.,

You will be working as a full-time Senior Generative AI Engineer at RandomTrees, based in Chennai with the option for remote work. Your primary responsibility will involve the development and execution of advanced Generative AI solutions. This role will require you to engage in cutting-edge AI projects and collaborate with diverse teams to foster innovation in handling a variety of datasets. Your key responsibilities will include designing, developing, and implementing cutting-edge machine-learning algorithms and models to enhance our platform's capabilities. This will enable our customers to efficiently create realistic content across multiple modalities, such as text, images, and drawings. Additionally, you will be expected to conduct in-depth research to remain updated with the latest advancements in machine learning and AI, integrating them into our platform as necessary. Your role will also involve documenting research findings, methodologies, and implementations in clear and concise reports and presentations. Collaboration with cross-functional teams to seamlessly integrate machine-learning models into the existing infrastructure for deployment and scalability will also be part of your responsibilities. To be successful in this role, you should have a total experience of 5+ years with at least 3 years of relevant experience in developing and training Generative AI models. A strong understanding of Generative AI models like GANs, Diffusion models, and Transformers is essential. Proficiency in machine-learning principles, algorithms, and techniques, along with hands-on experience in developing and implementing machine-learning models is required. You should also have expertise in training image-based machine-learning models and a proven track record of applying them to real-world problems. Proficiency in programming languages commonly used in machine learning, such as Python, is a must-have skill. If you meet the requirements mentioned above and are excited about the opportunity to work on innovative AI projects, please share your resume at hjonnalagadda@randomtrees.com.,

The Merlin Intake Agent offers business users unparalleled ease of use, increasing adoption rates and significantly reducing non-compliant spending. For procurement teams, the Merlin Autonomous Negotiation Agent handles tail spend autonomously, securing additional savings; the Merlin Contract Agent helps draft compliant contracts and reduces risks by actively monitoring them; and the Merlin AP Agent further enhances efficiency by automating invoice processing with exceptional speed and accuracy. We are an equal opportunity employer. Role & Responsibilities: Strategic Advisory & Transformation Leadership: Provide expert consulting on global S2P suite implementations, offering tailored best practices and roadmap strategies to maximize value realization and adoption. Value Articulation: Define and present compelling value propositions and ROI metrics of Zycus S2P suite, benchmarking against other leading procurement platforms in the market. Customer-Centric Solutions: Understand unique customer procurement landscapes and pain points to propose scalable, future-ready, and business-aligned implementation solutions. Global Program Execution: Lead and support consulting engagements across multiple geographies, ensuring consistent global rollout strategies while adapting to regional compliance and business nuances. Thought Leadership & Domain Expertise: Executive Communication & Influence: Demonstrate exceptional written and verbal communication skills to influence senior leadership, drive boardroom discussions, and deliver high-impact presentations. Collaboration & Enablement: Work closely with internal stakeholders including Product, Pre-sales, Customer Success, and Delivery teams to ensure seamless end-to-end customer transformation. AI-Driven Consulting Acumen: Leverage Generative AI and advanced analytics to deliver smarter procurement insights, predictive recommendations, and strategic automation opportunities. Job Requirement: - Domain expertise in leading procurement platforms such as SAP Ariba, Coupa, Ivalua, GEP SMART, SAP HANA, or similar cloud-based suites. - Strong consulting and advisory skills, with the ability to engage and influence C-level stakeholders on procurement transformation strategies. - Ability to define and articulate value realization frameworks, ROI metrics, and compare Zycus" suite with other market offerings. - Hands-on expertise in solution design, configuration, and UAT management. - Excellent verbal and written communication skills with the ability to deliver impactful executive-level presentations and documentation. - Global exposure working with clients across geographies and industries. - Strategic mindset with a passion for process optimization, change management, and procurement innovation. - Familiarity or working knowledge of Generative AI and its use cases in consulting or digital procurement transformation is a strong plus. Five Reasons Why You Should Join Zycus: 1. Pioneer in Cognitive Procurement: Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises. 2. Fast Growing: Growing Region at the rate of 30% Y-o-Y. 3. Global Enterprise Customers: Work with Large Enterprise Customers globally to drive Complex Global Implementation on the value framework of Zycus. 4. AI Product Suite: Steer next-gen cognitive product suite offering. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore.,

The ideal candidate for this role should have at least 6 to 12 years of overall experience, with a specific focus on Machine Learning and Deep Learning for a minimum of 4 to 5 years. You should possess extensive expertise in Natural Language Processing (NLP) and be proficient in Python programming. Familiarity with Generative AI and Prompt Engineering is a must. In addition, you should have a solid understanding of microservices architecture and Data Engineering. Your ability to comprehend user requirements and align them with the appropriate technologies will be crucial. You should be capable of designing Generative AI solutions and providing technical guidance to the team. Moreover, you should be proactive in identifying and addressing technical limitations and suggesting alternative strategies in advance. Prior experience with Azure Cognitive Services and a background in client-facing roles with direct client interactions are desired. Strong communication skills are essential for effective collaboration and conveying complex technical concepts clearly.,

AlgoAnalytics is seeking a Data Scientist with a strong passion for developing AI/ML solutions and working on cutting-edge projects in Gen AI. The ideal candidate should have a minimum of 3 years of experience in AI/ML, including Deep Learning, and exposure to Gen AI/LLM. Proficiency in tools, technologies, and libraries such as Agentic AI, Dify/Autogen, Langraph, etc., is required. Additionally, a detailed understanding of Cloud technologies and deployment, along with hands-on experience, is considered a significant advantage. As a Data Scientist at AlgoAnalytics, your responsibilities will include developing Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models. You will leverage Agentic AI frameworks and tools like Dify, Autogen, Langraph to build intelligent systems. Your role will also involve prompt engineering, fine-tuning, and dataset-specific model optimization. Implementing cutting-edge research from AI/ML and Gen AI domains and working on cloud-based deployments of AI/ML models for scalability and production readiness are crucial aspects of this position. In terms of leadership and mentoring, you will troubleshoot AI/ML, Gen AI, and cloud deployment challenges. Additionally, you will mentor junior team members, contribute to their skill development, and identify team members for mentoring, hiring, and technical initiatives. Ensuring smooth project execution, deadline management, and positive client interactions are key components of your role. Your involvement in research and innovation will entail exploring and implementing recent AI/ML research in practical applications. Furthermore, you will contribute to research publications, internal knowledge-sharing, and AI innovation efforts. To qualify for this position, you should have 2-3 years of hands-on experience in Machine Learning, Deep Learning, and Gen AI/LLMs. A Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or Statistics (with strong programming knowledge) is required. Your skills should include strong expertise in Python and relevant ML/AI libraries for programming. Deep understanding of Machine Learning, Deep Learning, and Generative AI/LLMs is essential. Experience with Agentic AI tools like Dify, Autogen, Langraph, and similar technologies is highly valued. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps deployment pipelines is also expected. Effective communication, leadership abilities, team management skills, meeting project deadlines, and collaborating with clients are crucial attributes for this role. Please note that preference will be given to candidates based in Pune, and candidates available to join immediately will be prioritized.,

As a Legal Counsel at Adobe, you will have the opportunity to join a dynamic legal team that advises our world-class product, technology, and business teams responsible for creating products that creative professionals rely on daily. In this role, you will specifically support the Digital Advertising, Learning, and Publishing (D-ALP) business unit, as well as handle regional operational matters. Reporting to the Associate General Counsel in Noida, India, you will play a crucial role in managing and mitigating legal risks while collaborating cross-functionally to advance business objectives. Your key responsibilities will include advising product development, engineering, strategy, and marketing teams on a wide range of legal issues related to the design, development, launch, and operation of D-ALP products and services. You will also be involved in drafting, reviewing, and negotiating various technology agreements, collaborating with internal stakeholders, providing legal training, monitoring legal and regulatory trends, offering operational support, and managing external counsel on complex legal matters. To excel in this role, you should be a qualified lawyer in India with 5-7 years of relevant experience in technology law, preferably in the IT/ITeS sector. You must have demonstrated expertise in drafting, reviewing, and negotiating complex technology and IP-related agreements, along with a solid understanding of privacy, data security, and cyberlaw as they relate to product development and online services. Experience in advising on compliance, familiarity with legal initiatives around artificial intelligence, and knowledge of real estate transactions or organizational operations within India will be advantageous. Your technical aptitude, collaboration skills, and ability to communicate legal concepts effectively to non-legal audiences will be essential. You should be business-oriented, solutions-driven, and possess a high level of integrity, along with a commitment to providing high-quality legal advice in a dynamic and innovative environment. If you are ready to be part of a team that drives growth, safeguards innovation, and contributes to Adobe's success, this role offers you the opportunity to make a lasting impact and further your legal career. Join Adobe and be at the forefront of digital innovation, working on products that inspire and empower creatives worldwide. Apply now to unlock your potential with Adobe Legal. If you require accommodations to access our website or complete the application process due to a disability or special need, please contact accommodations@adobe.com or call (408) 536-3015.,

To deliver faster, smarter, and better business outcomes for clients & partners, powered by AI, we are seeking an entrepreneurial technology leader who can challenge the status quo and inspire innovation with a consulting mindset and business strategy skills. This role involves overseeing the delivery of Applied AI Engineering and embodying the DNA of Client Success & Delivery. We are looking for individuals with a relentless passion for iterative improvement, the ability to architect solutions, research, code, and rebuild to generate tangible outcomes that matter to businesses. We are not seeking mere delegators, budget owners, agency managers, or coordinators. We want hard-core geeks turned engineering managers turned management consultants who are hands-on techies interested in creating impactful solutions beyond traditional approaches. This role demands individuals who are not afraid to take bold bets, drive meaningful change, and create a leveraged impact by solving problems differently. As a strategic leader in Applied AI engineering, you will be responsible for developing and executing a roadmap with a product engineering mindset, leading a high-performance team of developers, architects, and engineering managers. Your role includes hiring, training, coaching, mentoring, and guiding the team towards success. Collaboration with architects, product management, and engineering teams is crucial to create valuable solutions that enhance the platform's offerings. You will own the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and engineering quality. Your responsibilities will involve managing progress meetings, addressing project issues promptly, and communicating effectively with stakeholders. Additionally, you will participate in developing a long-term technology roadmap, influence leaders, and drive a culture of continuous improvement within the organization. While we believe education is important, we value experience and practical skills more. A Bachelor's or Master's degree in engineering from a reputed institute is preferred, along with at least 5 years of leadership experience in overseeing Applied AI engineering teams. A successful track record in Solution Architecting and AI-based software development is essential. Proficiency in Generative AI, Google AI APIs, Machine Learning, and various software development technologies is required. Excellent communication skills, the ability to deliver complex software projects efficiently, and a knack for thriving in a dynamic environment are key attributes for this role. Experience in client-facing roles, relationship building, and a deep understanding of technology stacks including Python, Pyspark, TensorFlow, databases like MongoDB and Google Cloud SQL, and Google AI platforms such as App Engine, GKE, Vertex AI, Doc AI, and Conversational AI are important for success in this position.,

As a Decision Science Specialist within the Accenture Strategy & Consulting Global Network Data & AI team, specializing in the Insurance practice, you will play a crucial role in helping our clients revolutionize their business operations. From conceptualization to implementation, you will collaborate with Property & Casualty insurers, Life & Retirement insurers, reinsurers, and brokers throughout the value chain. Your primary focus will be on enhancing analytic capabilities, ranging from data access and reporting to predictive modeling and Generative AI, to ensure that our clients stay ahead of the competition. The Accenture Global Network is a dynamic environment that seamlessly integrates Strategy & Consulting with Data and Artificial Intelligence, driving innovation and growth. You will have the opportunity to be part of a diverse and global community that continuously pushes the boundaries of business capabilities. Accenture's commitment to individual development and growth is unwavering, providing you with a supportive environment for learning and advancement. In this role, your responsibilities will include collaborating with the team to design, develop, deploy, and monitor advanced analytics models, leveraging cutting-edge technologies such as Generative AI. You will be instrumental in building functional aspects of Generative AI pipelines, optimizing system performance, and ensuring seamless data retrieval and storage. Additionally, you will engage with clients and account teams to identify engineering and business challenges, translating them into actionable analytics problems that drive operational enhancements and strategic insights. Your ability to synthesize data from diverse sources and present actionable insights in a clear and concise manner will be pivotal in facilitating informed decision-making for both technical and non-technical stakeholders. By harnessing your expertise in AI/ML tools and techniques, coupled with strong domain knowledge in the insurance sector, you will contribute significantly to delivering exceptional value to our clients. Join us on this exciting journey at Accenture, where you will be at the forefront of driving innovation, shaping the future of business, and making a tangible impact on our clients" success.,

The Data Intelligence team is searching for an experienced Product Manager to join the SabreMosaic program in order to revolutionize the airline IT industry by transitioning to modern retailing concepts. This transition involves moving away from existing structures towards the development of retail Offers that can be booked as Orders with intelligence and insights driven by data. The primary focus of the Data Intelligence team includes integrating Retail Intelligence products into Offers and Orders (O/O), expanding the Experimentation Framework into a platform for Airline IT and Distribution customers, designing Machine Learning (ML) models for O/O optimization, personalization, and enhanced user experience, leveraging Generative AI advancements to create new intelligent tools and channels, and working on Data & Analytics. The ultimate goal is to prepare airlines for the O/O world, helping them harness the full potential of SabreMosaic, and enabling them to make informed business decisions based on data-driven insights and predictions. As the Product Manager for Data Intelligence, you will be responsible for setting the vision and strategy for key competitive differentiators, focusing on business questions related to Offers and Orders that can be quantified and answered through metrics. You will collaborate with data engineering and data science team members to oversee solutioning and data workflow designs for O/O SabreMosaic, Radixx, and SabreSonic customers. Additionally, you will plan the evolution of the Experimentation Framework and transform insights from ML models into actionable products to assist airlines in becoming more innovative retailers. **Role Responsibilities:** - Drive product vision and strategy to provide value to customers. - Become the subject-matter expert (SME) on Data Intelligence and fully embrace the O/O paradigms. - Collaborate closely with Architecture and Product partners to define business requirements and success metrics. - Conduct research and analysis on customer segments, major pain points, new feature requirements, and opportunities to enhance existing products. - Initiate and convert the product roadmap into a manageable product backlog for development. - Lead capability kick-off and refinement sessions in conjunction with development teams. - Develop User Stories, Acceptance Criteria, and test cases based on business requirements. - Accept/sign-off team stories upon completion. - Present outcomes to program-level stakeholders and customers. - Support marketing efforts with go-to-market materials and assist operations in product support. - Educate the sales team on the product's value proposition and gather feedback on the product and market competition. **Preferred Qualifications:** - Bachelor's degree or equivalent. - Previous experience as a Product Manager, TPM, Business Analyst, or Product Owner. - Knowledge of Cloud and Data domains. - Curiosity and enthusiasm for investigating problem spaces. - Excellent written and verbal communication skills in English with the ability to engage with internal and external stakeholders. - Strong technical aptitude to comprehend proposed solutions and collaborate effectively with technology partners across teams. - Proficiency in agile development and lean product marketing principles. - Comfortable with uncertainty, willing to make decisions, embrace failure as a learning opportunity, and take accountability for all outcomes.,

As a software engineer at Google, you will be responsible for developing the next-generation technologies that impact how billions of users connect, explore, and interact with information. Your role will involve working on critical projects essential to Google's needs, with the opportunity to switch teams and projects as the business evolves. We are looking for engineers who can bring fresh ideas from various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Your primary responsibilities will include managing project priorities, deadlines, and deliverables, designing, developing, testing, deploying, maintaining, and enhancing software solutions. You will write product or system development code, participate in design reviews, review code developed by peers, contribute to documentation, and triage product or system issues. Minimum qualifications for this role include a Bachelor's degree or equivalent practical experience, 2 years of experience with software development in one or more programming languages, 2 years of experience with machine learning algorithms and tools, experience in Generative AI, and proficiency in C++ and Python programming. Preferred qualifications include experience with data structures or algorithms, the ML stack, productionizing ML models, collaboration within teams, and building applications with new technology. At YouTube, we believe in giving everyone a voice and building a community through storytelling. Working at the intersection of technology and creativity, we move at the speed of culture with a shared goal to show people the world. As part of our team, you will explore new ideas, solve real problems, and have fun together. If you are enthusiastic, versatile, and display leadership qualities, while being eager to tackle new challenges across the full-stack, we encourage you to apply and join us in pushing technology forward.,

You have an exciting opportunity to join Accenture as a Senior Manager in the S&C GN - Tech Strategy- AI / Gen AI Strategy team based in Bengaluru, BDC7A. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging your industry expertise to create value-driven solutions. As a Senior Manager, you will develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities to enhance business efficiency. You will be part of the Technology Strategy & Advisory Practice within Accenture Strategy, focusing on clients" most strategic priorities and helping them achieve growth and efficiency through innovative R&D transformation using agile methodologies. Your role will involve assessing AI potential, developing use cases for business transformation, designing proof of concepts and high-level solutions using AI or Gen AI analytics, and formulating guiding principles and components to impact clients" technology landscape. You will evaluate existing AI & Gen AI products and frameworks to develop options for proposed solutions. To excel in this role, you should leverage your knowledge of technology trends across Data and AI, interact with client stakeholders to understand their AI problems, and define problem statements and engagement scopes. You will guide the development of Enterprise-wide AI & Gen AI strategies for clients, collaborate with business experts, platform engineers, and technology teams, and engage in meaningful discussions with clients to drive the right recommendations. Moreover, you will benchmark against global research benchmarks, conduct discovery workshops and design sessions, and utilize expertise in AI Cloud platforms such as Google, Azure, or AWS. You will also be responsible for creating expert content, managing budgeting and forecasting activities, and building financial proposals. By joining Accenture, you will have the opportunity to work on transformative projects with key G2000 clients, co-create with industry experts, and develop your skills through personalized training modules. Furthermore, you will be part of a culture committed to accelerating equality and engaging in boundaryless collaboration across the organization. To be successful in this role, you should have relevant experience in the required domain, strong analytical and problem-solving skills, and the ability to work in a fast-paced, dynamic environment. Additionally, you should possess a deep understanding of AI concepts, expertise in Responsible AI frameworks, and experience in leading or managing large teams effectively. If you have a passion for technology, data, and business transformation, and want to work on innovative projects with opportunities for career growth and leadership exposure, then this role at Accenture is the perfect fit for you.,

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group. We are a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. As a Technical Project Manager with expertise on the Microsoft technology stack (including .NET, SQL Server, Azure, Generative AI, and Power Platform) and 10 to 15 years of experience, your role involves working with clients and internal stakeholders to plan and implement projects. You will be responsible for managing timelines, scope, budget, and resourcing, tracking project deliverables and performance, and developing comprehensive project plans. Additionally, you will collaborate with clients and stakeholders, write technical documents, create presentations and reports, and work with Agile methodology to execute sprints effectively. Your profile includes developing high-level and low-level product specifications, leading proof of concepts (POCs), communicating designs and concepts to the development team, overseeing team progress, providing technical guidance, ensuring software quality, and demonstrating advanced knowledge of development methodologies, software design patterns, and integration standards. You will lead a team of developers, take ownership of their work, and ensure quality releases for highly scalable systems. Flexibility to work in a fast-paced 24x7 environment and various shifts is required, and having PMP certification is a plus. At Capgemini, we value flexible work arrangements, career growth opportunities, and certifications in the latest technologies. We are a global business and technology transformation partner with a diverse team of 340,000 members in over 50 countries. With a strong heritage of over 55 years, we are trusted by clients to unlock the value of technology and address their business needs through end-to-end services and solutions. Our capabilities in AI, cloud, and data, combined with deep industry expertise, enable us to create tangible impact for enterprises and society. Join us at Capgemini to accelerate the transition to a digital and sustainable world while exploring a world of opportunities and fostering a healthy work-life balance.,

Are you looking for an exciting opportunity to solve large-scale business problems using Generative AI Join our dynamic team to tackle challenges using Generative AI in the Wholesale Credit Risk Quantitative Research Applied AI/ML team. You will play a crucial role in developing innovative AI solutions that leverage the firm's extensive data resources. Your primary focus will be on creating tools based on Large Language Models (LLMs) to enhance the End-to-End credit risk process across Wholesale. This role presents an exciting opportunity to innovate and have a significant impact on credit risk management. If you are passionate about AI and enthusiastic about working on cutting-edge solutions, we encourage you to apply. Your responsibilities will include: - Developing and implementing AI solutions to address business challenges. - Collaborating with cross-functional teams to translate requirements into technical solutions. - Formulating risk strategies to enhance risk monitoring using diverse data sources. - Managing the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring. - Ensuring the performance and reliability of deployed solutions. - Staying informed on the latest AI/ML advancements. - Leading the development and rapid deployment of AI solutions influenced by macro-economic factors and current events. Qualifications, Skills, and Experience required: - Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics. - Minimum of 5 years of experience in applied AI/ML. - Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP is highly preferred. - Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL. Cloud experience is a plus. - Experience in model implementation and production deployment is preferred. If you possess excellent problem-solving, communication, and leadership skills, and are eager to contribute to the advancement of AI solutions in credit risk management, we look forward to reviewing your application.,

As a Manager, ML Ops Engineer at Genpact, you will be an integral part of the team responsible for building and maintaining the infrastructure and pipelines for cutting-edge Generative AI applications. Your role will involve collaborating closely with the Generative AI Full Stack Architect to ensure the efficiency, scalability, and reliability of Generative AI models in production. Your responsibilities will include designing, developing, and implementing ML/LLM pipelines for generative AI models, conducting research to explore new techniques, integrating GenAI APIs and microservices into existing systems, and automating ML tasks across the model lifecycle using tools like GitOps, CI/CD pipelines, and containerization technologies. Furthermore, you will be involved in MLOps support and maintenance on ML platforms Dataiku/Sagemaker, implementing version control, CI/CD pipelines, and containerization techniques, designing monitoring and alerting systems, and collaborating with infrastructure and DevOps teams for resource management. To qualify for this role, you should have a Bachelor's degree in computer science, Data Science, Engineering, or a related field, along with a deep understanding of generative AI concepts and experience in MLOps or related areas. Strong expertise in cloud platforms, CI/CD principles, containerization technologies, and monitoring tools is essential. Excellent communication, collaboration, and problem-solving skills are also required, along with a passion for Generative AI and its potential to transform industries. If you are looking to join a dynamic team at Genpact and contribute to the advancement of Generative AI technologies, we encourage you to apply for the Manager, ML Ops Engineer position in India-Bangalore. This is a full-time role with the opportunity to work on cutting-edge projects and make a significant impact in the field of AI. Join us on this exciting journey to shape the future with your expertise in ML Ops and Generative AI!,

At Capgemini Engineering, the global leader in engineering services, you will be part of a diverse team of engineers, scientists, and architects dedicated to empowering the world's most innovative companies. From groundbreaking technologies like autonomous cars to life-saving robots, our digital and software technology experts are constantly pushing boundaries to provide exceptional R&D and engineering services across various industries. Join us and embark on a career filled with endless opportunities, where each day offers new challenges and opportunities for growth. In this role, you will be responsible for developing and implementing engineering practices and knowledge to define, configure, and deploy industrial digital technologies, such as PLM and MES. Your main focus will be on ensuring the seamless flow of information across the engineering enterprise, encompassing design, industrialization, manufacturing, and the supply chain, as well as managing manufacturing data effectively. As you progress in your role, you will specialize in Digital Continuity and Manufacturing, building expertise in your area and sharing knowledge with your peers. You will be adept at interpreting clients" needs, working independently or with minimal supervision, and identifying and resolving issues in a straightforward manner. Collaboration is key, as you will actively contribute to team efforts and engage with customers to deliver exceptional results. Capgemini is a global business and technology transformation partner committed to helping organizations navigate the shift towards a digital and sustainable world. With a workforce of over 340,000 team members across 50 countries, we are dedicated to creating tangible impact for enterprises and society. With a rich history spanning more than 55 years, Capgemini is known for its ability to unlock the full potential of technology to meet diverse business requirements. Our comprehensive range of services and solutions, from strategy and design to engineering, is supported by cutting-edge capabilities in AI, generative AI, cloud, and data, as well as deep industry knowledge and a robust partner network.,

reetings from the HCL TECH! HCL is hiring for Gen AI Engineer now For Banglore/Hyderabad/Chennai/Noida/Pune Location. If you are interested for the below given JD. Kindly share your updated CV & Following details on [HIDDEN TEXT] Details : Total Exp.: Relevant Exp in Gen AI: Exp in LLM - Exp Cloud - Exp in Generative AI Solution Exp In AIML - Notice Period : Current Company : Current CTC : Expected CTC: Current Location Preferred Location : Contact Details Qualifications Bachelors degree or above in Computer Science, Software Engineering or similar disciplines Ability to learn new domains quickly Adept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure Generative AI oriented Experience with atleast one cloud technologies: Azure, AWS, GCP Understanding of good design principles and patterns Solid appreciation of AI/ML concepts Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack Excellent written and verbal communication skills. Fluent English is essential Strong analytical and problem-solving skills. Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal) Self-motivated, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly. Hands-on of Python, ML Algorithms and Statistics Knowledge of source code maintenance and versioning tools. Strong in Object Oriented Programming Concepts. Good in debugging and analytical skills. Work Experience Experience in software development: 5+ years Experience in Generative AI solution development: 1+ year Show more Show less

Join Vonage and help us innovate cloud communications for businesses worldwide! Vonage BI & Data Team Mission We are a highly creative, energetic and results-oriented team that owns data and analytics delivery for the entire organization. This starts from data ingestion to corporate dashboards and includes data analytics to drive actions. The successful candidate is passionate about understanding customer needs, motivations, and behavior and enjoys discovering insights that help us deliver better outcomes like revenue growth, better customer experience, customer engagement and customer retention. Why This Role Matters As a Senior Data Analyst, you will be responsible for transforming complex datasets into actionable insights that drive business strategy and decision making. You will bridge the gap between the raw data and impactful business intelligence, playing a vital role in identifying trends, optimizing processes, and supporting key stakeholders across various departments. As a Senior Data Analyst, you will also be helping us on a journey towards a modern, self-serve analytics organization. You will get autonomy and ownership around large parts of how we interface with users, how theyre trained and around defining the boundary between let me show you how to do this yourself and let me do this for you. Over the last couple of years, weve made significant investments into our data infrastructure and our data processing platform. This has improved the internal team processes, however, there is still room for improvement on enabling self-serve and using advanced analytics techniques to predict what will happen rather than what happened. Your Key Responsibilities Collaborate with cross-functional teams (e.g., Finance, Product, Customer Experience, Marketing) to align data initiatives with business goals and challenges. Develop strategies and insights to drive customer revenue growth and enhance the overall customer experience. Utilize advanced analytics, including predictive modeling and data mining, to identify patterns, forecast trends, and support target achievement. Translate complex data analyses into clear, actionable reports and presentations for both technical and non-technical stakeholders. Lead and advocate for self-service analytics across the organization, including managing relationships with data power users. Coordinate and promote the internal Data Academy to empower teams to better understand and leverage available data and reporting tools. Contribute to data strategy and planning by assisting in budget alignment and ensuring BI and data engineering efforts meet stakeholder needs and priorities. Were specifically not looking for someone to churn out reports for other people all day long. Self-service analytics environment Were using a modern analytics stack with Tableau as the visualization front-end and Snowflake as the DWH, where the majority of report development is done by our users, we also use Python, SQL and Airflow Rather than a report mill, the BI & Data team is there to empower and help users get their data and analytics work done themselves Going forward, we are looking to transition to querying the data using natural language. Required What you will bring: Bachelor&aposs degree (preferably in Business, Economics, Statistics, or Computer Science) with 5+ years of experience in data analytics, ideally in a SaaS environment; advanced degrees (MBA or Master&aposs in Financial Analytics, Data Science, etc.) are a plus. Proven experience working independently and collaboratively with a wide range of stakeholders, including senior leadership. Expertise in analytical and statistical techniques, including forecasting, attribution modeling, simulation, and data optimization. Proficient in SQL, data warehousing, and data integration tools; familiarity with Python or R is a plus. Knowledge of machine learning, Generative AI (GenAI), and Agentic AI is a plus. Skilled in using BI tools such as Tableau to visualize and communicate data insights effectively. Strong communication, problem-solving, and critical thinking skills, with the ability to explain complex data to non-technical audiences and work well in cross-functional teams. Experience We Consider a Plus Have experience driving self-service analytics adoption in a scalable way. Worked in an agile environment and were able to bring structure where there was none before. How Youll Benefit In addition to providing exciting work, career advancement opportunities, and a collaborative work environment, Vonage provides competitive pay and benefits including unlimited discretionary time off. Theres no perfect candidate. You don&apost need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you&aposre passionate about what you could achieve at Vonage, we&aposd love to hear from you. Who We Are Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate Then join us today. Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location. Show more Show less

We are seeking an experienced AI Data Analyst with over 7 years of professional experience, showcasing leadership in tech projects. The ideal candidate will possess a strong proficiency in Python, Machine Learning, AI APIs, and Large Language Models (LLMs). You will have the opportunity to work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Your experience should include: - At least 2 years of hands-on experience as a Data Analyst. - Practical experience of at least 1 year with AI systems such as LLMs, AI APIs, or vector-based search. - 2+ years of experience working with Machine Learning models and solutions. - Strong background of 5+ years in Python programming. - Exposure to vector databases like pgvector and ChromaDB is considered a plus. Key Responsibilities: - Conduct data exploration, profiling, and cleaning on large datasets. - Design, implement, and evaluate machine learning and AI models to address business problems. - Utilize LLM APIs, foundation models, and vector databases to support AI-driven analysis. - Construct end-to-end ML workflows starting from data preprocessing to deployment. - Develop visualizations and dashboards for internal reports and presentations. - Analyze and interpret model outputs, providing actionable insights to stakeholders. - Collaborate with engineering and product teams to implement AI solutions across business processes. Required Skills: Data Analysis: - Work with real-world datasets hands-on for at least 1 year. - Proficiency in Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly. Machine Learning & AI: - Apply machine learning techniques for at least 2 years (classification, regression, clustering, etc.). - Hands-on experience with AI technologies such as Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems. - Knowledge of model evaluation, hyperparameter tuning, and model selection. - Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures. Programming: - Proficiency in Python programming for at least 3 years, with expertise in libraries like scikit-learn, NumPy, Pandas, etc. - Strong understanding of data structures and algorithms relevant to AI and ML. Tools & Technologies: - Proficiency in SQL/PostgreSQL. - Familiarity with vector databases like pgvector, ChromaDB. - Exposure to LLMs, foundation models, RAG systems, and embedding techniques. - Familiarity with cloud platforms such as AWS, SageMaker, or similar. - Knowledge of version control systems (e.g., Git), REST APIs, and Linux. Good to Have: - Experience with tools like Scrapy, SpaCy, or OpenCV. - Knowledge of MLOps, model deployment, and CI/CD pipelines. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. Soft Skills: - Possess a strong problem-solving mindset and analytical thinking. - Excellent communication skills, able to convey technical information clearly to non-technical stakeholders. - Collaborative, proactive, and self-driven in a fast-paced, dynamic environment. If you meet the above requirements and are eager to contribute to a dynamic team, share your resume with kajal.uklekar@arrkgroup.com. We look forward to welcoming you to our team in Mahape, Navi Mumbai for a hybrid work arrangement. Immediate joiners are preferred.,

As a Python Developer specializing in Generative AI, you will play a key role in designing, developing, and deploying intelligent AI-powered systems during the night shift in Bangalore. Your primary responsibility will involve building and maintaining Python-based APIs and backends integrated with cutting-edge Generative AI models. You will collaborate with global teams to implement prompt engineering, fine-tuning, and model deployment pipelines using tools such as GPT, Claude, LLaMA, DALLE, and Stable Diffusion. Your expertise in PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API will be crucial in optimizing model performance for latency, accuracy, and scalability. Additionally, you will deploy models using FastAPI, Flask, Docker, or cloud platforms while ensuring thorough testing, monitoring, and documentation of AI integrations. To excel in this role, you should possess at least 4 years of Python development experience along with 1 year of hands-on experience with Generative AI tools and models. Familiarity with vector databases such as FAISS, Pinecone, and Weaviate is also desirable. Exposure to GPU-based training or inference, MLOps tools like MLflow, Airflow, or Kubeflow, and a strong understanding of AI ethics, model safety, and bias mitigation are considered advantageous. This full-time, permanent position offers health insurance, Provident Fund benefits, and requires working in person during the night shift. If you are passionate about leveraging AI to address real-world challenges and thrive in a fast-paced environment, we encourage you to apply and contribute to innovative GenAI and ML projects.,

You will collaborate with business, platform, and technology stakeholders to understand the scope of projects. Your role will involve performing comprehensive exploratory data analysis at various levels of granularity to derive inferences for further solutioning, experimentation, and evaluation. You will design, develop, and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, and other relevant technologies. It will be essential to continuously focus on providing business value while ensuring technical sustainability. Additionally, you will promote and drive adoption of cutting-edge data science and AI practices within the team while staying up to date on relevant technologies to propel the team forward. We are seeking a team player with 4-7 years of experience in the field of data science and AI. The ideal candidate will have proficiency in programming/querying languages like Python, SQL, PySpark, and familiarity with Azure cloud platform tools such as Databricks, ADF, Synapse, Web App, among others. You should possess strong work experience in text analytics, NLP, and Generative AI, showcasing a scientific and analytical thinking mindset comfortable with brainstorming and ideation. A deep interest in driving business outcomes through AI/ML is crucial, alongside a bachelor's or master's degree in engineering or computer science with or without a specialization in the field of AI/ML. Strong business acumen and the desire to collaborate with business teams to solve problems are highly valued. Prior understanding of the business domain of shipping and logistics is considered advantageous. Should you require any adjustments during the application and hiring process, we are happy to support you. For special assistance or accommodations to use our website, apply for a position, or perform a job, please contact us at accommodationrequests@maersk.com.,

As an Assistant Vice President Generative AI Systems Architect, you will leverage your 12+ years of experience to architect and design end-to-end systems for production-grade Generative AI applications. This includes creating systems for LLM-based chatbots, copilots, and content generation tools. Your responsibilities will involve defining system architecture for data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. It is essential to establish architectural tenets such as modularity, scalability, reliability, observability, and maintainability. Collaboration plays a crucial role in this role, as you will work closely with data scientists, ML engineers, platform engineers, and product managers to ensure that the architecture aligns with both business objectives and AI goals. Your tasks will include choosing and integrating foundation models, evaluating solutions based on various architecture patterns, and designing secure and compliant architectures for enterprise settings, focusing on data governance, auditability, and access control. Additionally, you will lead system design reviews, define non-functional requirements (NFRs) like latency, availability, throughput, and cost, and collaborate with MLOps teams to establish CI/CD processes for model and system updates. Your contribution to creating reference architectures, design templates, and reusable components will be valuable in driving efficiency and consistency across projects. To excel in this role, it is important to stay updated with the latest advancements in GenAI, system design patterns, and AI platform tooling. Your role as an Assistant Vice President Generative AI Systems Architect will be dynamic and impactful, contributing significantly to the advancement and implementation of cutting-edge AI technologies.,

As a Numerical Modelling & Programming specialist, you will be responsible for developing, implementing, and optimizing numerical algorithms within various software platforms for mining applications. Your role will involve writing and maintaining efficient, scalable code in languages such as C++, Python, and FISH, customized to geotechnical and rock mechanics modelling workflows. Additionally, you will be expected to customize and extend functionalities of tools like FLAC/FLAC3D, UDEC/3DEC, and other geomechanical software through scripting and API integration. Your duties will also include designing and deploying coding solutions to automate repetitive tasks, thereby enhancing efficiency across engineering workflows. You will need to identify and implement opportunities for process automation, contributing to resource optimization and improved modelling productivity. Collaboration with engineers, geologists, and technical leads is crucial to understand project requirements and translate them into software-based solutions. Moreover, integrating developed scripts and automation routines into existing platforms and project workflows will be part of your responsibilities. Quality assurance plays a significant role in your job profile, where conducting rigorous testing and validation of numerical models and coding deliverables is essential to ensure technical reliability and robustness. Participation in peer code reviews and contribution to the establishment and enforcement of coding best practices and standards will be expected from you. Staying current with industry trends in numerical modelling, simulation, and automation is crucial. You will be required to contribute to innovation by researching and applying new technologies like machine learning, generative AI, and image recognition to tackle mining challenges effectively. In terms of mandatory skills, excellent verbal and written communication in English is necessary. Strong programming proficiency in C++, Python, and FISH is also a must. A solid foundation in computer science, information technology, or engineering (mining/geotechnical preferred) is expected, along with the willingness and ability to learn new programming languages and software tools. Desired skills for this role include prior experience with mining or geotechnical modelling software, exposure to automation and scripting in engineering applications, familiarity with machine learning algorithms, generative AI, and image recognition technologies, and a proven ability to innovate and challenge conventional approaches in a technical environment. To be eligible for this position, you should possess a Bachelor's or higher degree in Computer Science, Software Engineering, or a related field. Additionally, you should have 7-10 years of experience in programming, ideally in support of mining or geotechnical applications, with demonstrated experience in coding for finite difference and discrete element methods, particularly in mining/civil engineering contexts.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

The ideal candidate for this role will be responsible for providing technical leadership on high-impact projects and guiding a distributed team of engineers. You will play a crucial role in aligning teams on goals, outcomes, and timelines, while effectively managing project priorities, deadlines, and deliverables. Your duties will include designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. In this position, you will collaborate closely with Research teams and ML practitioners to create and refine engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces, and support user adoption. You will be expected to leverage your expertise in software development, data structures, algorithms, testing, software design, architecture, front-end frameworks, full-stack development, and API development. The qualifications and education requirements for this role include a Bachelor's degree or equivalent practical experience, along with 8 years of experience in software development and data structures/algorithms. Additionally, you should have 5 years of experience in testing, launching software products, and 3 years of experience in software design and architecture. Proficiency in front-end frameworks, full-stack development, or API development is essential, as well as experience with machine learning algorithms, tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing, or other ML disciplines. Familiarity with Generative AI, such as Large Language Models, Multi-Modal, and Large Vision Models, is also preferred. Preferred skills for this role include a Master's degree or PhD in Engineering, Computer Science, or a related technical field. It is desirable to have 3 years of experience in a technical leadership role, leading project teams and setting technical direction. Experience working in a complex, matrixed organization involving cross-functional or cross-business projects for at least 3 years would be advantageous.,

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations. We work in a highly collaborative environment, and you will partner with a highly cross-functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting edge new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test, and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and interface with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management, and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS SageMaker, Terraform, Spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills,