1435 Generative Ai Jobs - Page 10

As an innovative, enthusiastic, and versatile AI professional at Siemens Energy, you will be a crucial part of the Data & Artificial Intelligence team working on challenging projects within the energy industry. Your primary focus will be on developing advanced Artificial Intelligence solutions with a specific emphasis on Generative AI techniques. By combining strategic insights and the latest data science methodologies, you will help drive maximum value from data and create AI solutions that offer strategic advantages for day-to-day operations. In this role, you will collaborate with cross-organizational, multi-disciplinary teams to support the application and implementation of innovative data science and AI/ML concepts at scale. Your responsibilities will include leading the implementation of AI/ML initiatives across the company, providing training sessions, and ensuring awareness of these technologies. Staying updated on the latest developments in data science and AI/ML principles will be essential for making data-driven decisions and contributing to the company's success. To excel in this position, you should possess 3-6 years of IT experience with a deep understanding of Gen AI solutions, including frameworks like RAG (Retrieval-Augmented Generation), Agents, and Lang graph. Strong analytical skills, expertise in data science focusing on Generative AI and Natural Language Processing, and proficiency in programming languages such as Python are key attributes required for this role. Additionally, effective collaboration in global teams, excellent communication skills, customer focus, and a willingness to learn are essential qualities for success in this position. As part of the Corporate and Global Functions team at Siemens Energy, you will play a vital role in driving critical initiatives and ensuring operational excellence. You will contribute to the company's vision of becoming the most valued energy technology company by actively participating in shaping the global energy transition and engaging with internal and external stakeholders to conduct business responsibly and in compliance with legal requirements. Siemens Energy is a global leader in energy technology with a commitment to sustainability, reliability, and affordability. With a diverse team of employees from over 130 nationalities, the company values inclusion and celebrates differences. By joining Siemens Energy, you will be part of a legacy of innovation that focuses on decarbonization, new technologies, and energy transformation. If you are passionate about making a difference in the energy sector and contributing to a sustainable future, Siemens Energy offers a rewarding work environment with benefits such as remote working arrangements, medical insurance coverage for employees and their families, and meal card options as part of the comprehensive compensation package. Join us in driving the energy transformation and exploring new possibilities in the field of Artificial Intelligence at Siemens Energy. To explore career opportunities and learn more about Siemens Energy, visit: https://www.siemens-energy.com/employeevideo.,

At Accellor, we are a trusted consulting partner leveraging best-of-breed Cloud technology to enhance customer engagement and drive business effectiveness across various industries including Financial, Retail, High Tech, Healthcare, and Retail verticals. We have fostered a culture that promotes curiosity, continuous learning, and perseverance. Our employees are encouraged to expand their knowledge and pursue their passions in a collaborative and autonomous environment. We recognize the strong work ethic and sense of ownership our team possesses, along with their passion, enthusiasm, and dedication to crafting innovative solutions while keeping the bigger picture in mind. As a Data Platform Architect at Accellor, you will play a pivotal role in designing and implementing state-of-the-art data solutions utilizing cloud technologies, particularly focused on Microsoft Azure. Your responsibilities will include designing architecture for data platforms and hybrid cloud solutions across various industries, ensuring optimal performance and scalability to meet client requirements. This position entails leading technical projects, collaborating closely with technical and business stakeholders, and staying abreast of emerging trends such as generative AI and SaaS services. Key Responsibilities: - Design and deploy scalable and secure data solutions on Microsoft Azure. - Lead the design and architecture of hybrid cloud solutions, integrating on-premises workloads with Azure resources. - Collaborate with clients and internal teams to develop data platform strategies aligned with business objectives. - Manage the delivery of technical projects, ensuring successful deployment of cloud solutions. - Provide leadership and expertise in cloud technologies, focusing on Microsoft data services. - Partner with cross-functional teams to drive innovative cloud and data strategies incorporating generative AI and emerging trends. - Support practice development through innovative IP solutions and services. Requirements: - Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field. - 10+ years of experience in cloud technologies, specializing in data platforms, IT consulting, system administration, technology solutions, and architecture. - Proficiency in Microsoft Azure Data services, including hybrid cloud architectures. - 6+ years of experience in a customer-facing role, delivering technical projects and solutions. - Technical certification in Azure Data is mandatory. - 4+ years of experience in technology IP solutions or services development, with expertise in cloud platforms and trends like generative AI and SaaS services. - Strong knowledge of Cosmos DB, SQL DB, OSS DB, PGSQL, and MY SQL. - Demonstrated ability to lead and execute technical projects, ensuring high-quality solutions. - Excellent communication and collaboration skills with the capacity to engage with both technical and non-technical stakeholders. - Expertise in Cosmos DB, SQL DB, OSS DB, PGSQL, and MY SQL. - Comprehensive understanding of digital transformation drivers, cloud platforms, and the evolving cloud technology landscape. - In-depth knowledge of Microsoft data services, emphasizing secure and scalable architecture design. - Proven leadership in technical project management, particularly in customer-facing environments. Benefits: - Exciting Projects: Engage in projects across diverse industries including High-Tech, communication, media, healthcare, retail, and telecom. - Collaborative Environment: Collaborate with a diverse team of talented individuals in an open and laidback setting, possibly even at our global centers abroad. - Work-Life Balance: Enjoy flexible work schedules, work-from-home opportunities, and paid time off and holidays to prioritize work-life balance. - Professional Development: Access Communication skills training, Stress Management programs, professional certifications, and technical and soft skill trainings organized by our dedicated Learning & Development team. - Excellent Benefits: Competitive salaries, family medical insurance, Personal Accident Insurance, health awareness programs, extended maternity leave, annual performance bonuses, and referral bonuses are provided to our employees.,

As an experienced candidate with 8-12 years of experience in .NET, Node, and GenAI/Data Science, you will be responsible for leading and contributing to the design, development, and deployment of scalable .NET web applications using C# and .NET Core. You should have a strong hands-on experience in developing web applications and customer-facing integrations using technologies such as C#, .NET 7.0+ / .NET Core, SQL / NoSQL databases, Web API, and Node.js. You must have a minimum of 3 years of experience working with Generative AI models including OpenAI, Google Gemini, and RunwayML. Additionally, you should have proven experience in technical design, development, and support of web applications and API frameworks. Prior experience as a Technical Lead or Architect on enterprise-grade projects is required for this role. Proficiency in using ORM tools like Entity Framework, working knowledge of Azure Stack, cloud deployment processes, and CI/CD pipelines is essential. Experience with Git for version control and collaborative development is also a must-have skill. It would be beneficial if you have familiarity with Microservices and Event-Driven Architectures and knowledge or hands-on experience in Python, Django, Flask, React, and AngularJS. In this role, you will work with Cosmos DB and other databases for backend storage solutions, build and maintain RESTful Web APIs, and integrate Generative AI models into applications. You will participate in architecture discussions, design patterns, and best practices. Supporting CI/CD processes, managing deployments on Azure, and maintaining clean build pipelines are also key responsibilities. You will be required to conduct and participate in code reviews to maintain code quality, implement and manage caching strategies for performance optimization, and translate client requirements into scalable, maintainable, and effective technical solutions. Collaboration with cross-functional teams and effective communication with peers, leadership, and customers via email, phone, or meetings are crucial aspects of this role.,

You are an experienced Infra Dev Specialist with 5 to 8 years of experience, possessing strong technical skills in Python and Generative AI. In this role, you will work in a hybrid model with day shifts, contributing to the development and maintenance of infrastructure to ensure optimal performance and reliability. Your responsibilities will include developing and maintaining infrastructure solutions for supporting applications and services, optimizing Python scripts for automating infrastructure tasks, and leveraging Generative AI to enhance infrastructure capabilities. Additionally, you will monitor and troubleshoot infrastructure issues, collaborate with cross-functional teams to design scalable solutions, and provide technical support to team members. Conducting performance assessments, ensuring security compliance, and documenting infrastructure configurations are key aspects of your role. To excel in this position, you must have a strong background in Python programming for infrastructure automation and hands-on experience with Generative AI technologies. A solid understanding of infrastructure management and optimization, excellent troubleshooting skills, and the ability to work effectively in a hybrid model are essential. Nice-to-have qualifications include experience with cloud platforms, knowledge of security best practices, and strong communication and collaboration skills. Proactivity in learning new technologies, attention to detail, and the ability to work independently or as part of a team are crucial for success in this role. As an Infra Dev Specialist, you will contribute to code reviews, assist in capacity planning and infrastructure scaling, and focus on improving infrastructure processes and workflows. Holding certifications as a Certified Python Developer and a Generative AI Specialist will be required for this position. Your commitment to delivering high-quality infrastructure solutions and managing multiple tasks effectively will be key to your success in this role.,

As the Head of App Engineering Practice at Birlasoft Ltd., you will play a pivotal role in driving innovation, leading the development and delivery of cutting-edge solutions, and aligning technology strategies with business objectives. Your visionary and strategic leadership will be crucial in transforming how clients leverage technology to enhance their digital presence, optimize operations, and achieve business outcomes. You will oversee a multidisciplinary practice encompassing Digital Experience, Cloud & App Engineering, Digital Manufacturing, and Generative AI, with a focus on fostering innovation, team management, client engagement, practice development, technology oversight, cross-functional collaboration, financial management, and business development. Your responsibilities will include defining the overall vision, strategy, and roadmap for the App Engineering Practice, aligning strategies with broader business objectives, fostering a culture of innovation, leading a diverse team of professionals, partnering with clients to provide strategic guidance on digital transformation, establishing best practices and frameworks, providing guidance on modern technologies, collaborating with other practice heads and business units, overseeing financial management, supporting sales and business development activities, and ensuring the successful delivery of high-quality solutions that exceed client expectations. To excel in this role, you should possess a Bachelor's or Master's degree in computer science, Information Technology, Engineering, or a related field, along with at least 20 years of experience in application engineering, digital transformation, or a related field, including 5 years in a senior leadership role. You should have in-depth knowledge and experience in Digital Experience platforms, Cloud & App Engineering, Digital Manufacturing, and Generative AI, strong leadership skills, technical proficiency in modern application development and digital technologies, business acumen, excellent communication and stakeholder management skills, problem-solving abilities, and decision-making skills. Possessing certifications in relevant technologies and experience with Agile and DevOps practices would be advantageous. If you are a strategic thinker, an innovative leader, and a collaborative team player with a passion for driving digital transformation and delivering impactful solutions, we invite you to join our dynamic team at Birlasoft Ltd. and contribute to our mission of reimagining business processes for sustainable communities.,

At Capgemini Invent, we believe in the power of difference to drive change. As inventive transformation consultants, we leverage our strategic, creative, and scientific capabilities to collaborate closely with clients and deliver cutting-edge solutions. Join our team to lead transformation initiatives tailored to address our clients" challenges of today and tomorrow, supported by science, data, creativity, and purpose-driven technology. Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. Our global business line combines expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. **Your Role:** - Provide strategic advice and design efficient and compliant methods for Entity Accounting & Close process with SAP S/4HANA. - Offer expertise in implementing design in Entity Accounting and Close Process, ensuring compliance with IFRS, US GAAP, or other applicable accounting standards. - Lead and support the end-to-end implementation of SAP S/4 HANA Entity Accounting and Closing process. - Engage with business stakeholders to design Entity Accounting & Close process. - Configure SAP Entity Accounting (SAP S/4HANA Finance) & Closing process to meet specific business requirements, ensuring alignment with IFRS, US GAAP, and local accounting standards. - Support the integration of Entity Accounting with other SAP modules and third-party systems. - Lead business workshops to demonstrate the process in SAP S/4HANA Entity Accounting and Closing process and identify gaps. - Train business users and test processes using SAP S/4HANA Entity Accounting. **Your Profile:** - 8-12 years of experience in SAP S/4 HANA Entity Accounting and SAP Financial Closing Cockpit for SAP S/4HANA. - Hands-on experience in SAP FI, SAP FI-GL, SAP FI-AP, SAP FI-AR, SAP FI-AA, etc. - Strong understanding of IFRS, GAAP, and financial reporting standards. - Experience as an end user of SAP Finance. - Experience in designing and implementing SAP Finance in SAP ECC or/and in SAP S/4HANA preferred. - Previous advisory or finance role experience is advantageous. - Excellent communication and interpersonal skills, capable of working with senior executives and cross-functional teams. **What You Will Love About Working Here:** - Flexible work arrangements to support work-life balance. - Career growth programs and diverse professions to explore opportunities. - Access to valuable certifications in the latest technologies such as Generative AI. Join Capgemini, a global business and technology transformation partner, trusted by clients worldwide to unlock the value of technology and address diverse business needs. Be part of our responsible and diverse team dedicated to creating a digital and sustainable world, while making a tangible impact on enterprises and society. With over 55 years of heritage, Capgemini leverages its strengths in AI, cloud, data, and deep industry expertise to deliver end-to-end services and solutions for clients globally.,

As a technical leader on high-impact projects, you will be responsible for providing guidance and coaching to a distributed team of engineers. Your role will involve ensuring alignment and clarity across teams regarding goals, outcomes, and timelines. You will play a crucial part in managing project priorities, deadlines, and deliverables effectively. Your main focus will be on designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. Collaboration with Research teams and ML practitioners will be essential for identifying, building, and iterating on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, and user interfaces. Additionally, you will be instrumental in supporting user adoption of these solutions. To be successful in this role, you should hold a Bachelor's degree or equivalent practical experience. You are expected to have 8 years of experience in software development, with a strong background in data structures and algorithms. Moreover, you should possess 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 required. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing, or other ML disciplines will be advantageous. Familiarity with Generative AI, such as Large Language Models, Multi-Modal, and Large Vision Models, is a plus. Preferred qualifications include a Master's degree or PhD in Engineering, Computer Science, or a related technical field. Additionally, having 3 years of experience in a technical leadership role, leading project teams, and setting technical direction is desirable. Experience in working in a complex, matrixed organization involving cross-functional or cross-business projects will also be beneficial for this role.,

As a Senior Manager, Domain Solutions Architect at ResMed, your primary responsibility will be to lead architecture activities in the Customer Platform area. You will guide the development and management of a portfolio of solutions, ensuring they align with the company's strategy and business needs. Your role will involve understanding business goals, capabilities, value-streams, and processes to define the target application landscape and maintain architectural integrity. You will establish and govern an architecture board in the Customer Platform area and manage a team responsible for designing robust technical architecture, enforcing standards, driving innovation, and overseeing pilot programs. Additionally, you will be tasked with overseeing domain solutions architecture for the customer area, ensuring alignment with the overall GTS strategy and business objectives. You will facilitate the definition of the target application landscape, guide the design and implementation of domain-specific solutions, and ensure seamless integration with other enterprise applications. In terms of qualifications, skills, and experience, we are looking for candidates with a Bachelor's degree in Computer Science or a related discipline (Master's degree preferred). You should have significant experience in managing and delivering software solutions, as well as a strong business acumen in areas related to customers such as marketing, sales, E-Commerce, and customer support. To excel in this role, you should possess strong leadership skills, excellent communication and presentation abilities, proficiency in architecture frameworks like TOGAF or Zachman, and knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. Familiarity with cybersecurity principles, information management practices, agile methodologies, and emerging technologies like generative AI will be beneficial. At ResMed, you will have access to competitive benefits, a bonus plan, working from home flexibility, referral bonuses, and internal career development opportunities. Join us in creating a healthier world and a workplace that values diversity, inclusion, and innovation. If you are ready for a challenging and inspiring career, apply now to be part of our dynamic team.,

Meet The Team The Cisco AI Software & Platform Group drives the development of groundbreaking generative AI applications. We empower Cisco's diverse product portfolio, spanning networking and security, with intelligent assistants and agents. We work on pioneering technologies that proactively defend against threats, safeguard critical business assets, and simplify security operations. Fueled by a passion for AI/ML, we strive to create a secure future for businesses. Our collaborative and passionate team thrives with tackling sophisticated challenges and delivering innovative solutions. Your Impact We are seeking a hardworking and passionate Software Engineer to join our growing AI Defense team. In this role, you will play a crucial part in building pioneering generative AI applications that will power innovation across our entire company. You will work closely with data scientists, collaborate with other engineers and multi-functional teams, and give to the development of robust, scalable, and high-performance AI solutions. Develop pioneering AI applications: Design and build innovative generative AI applications that are secure, reliable, and scalable. Translate business needs into technical solutions: Work closely with partners to understand business requirements and translate them into technical specifications and roadmaps. Experiment and innovate: Experiment with different generative AI models and architectures, evaluate their performance, and find opportunities for improvement. Build developer tools: Develop and maintain APIs, SDKs, and other tools that enable seamless integration of AI capabilities into various applications. Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security. Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions. Scale and Performance Optimization: Work on scale and performance tuning and optimization of different components to ensure efficient, responsive operation for handling large volumes of requests. Collaborate effectively: Work closely with data scientists, researchers, product managers, engineers, and other customers to ensure successful project delivery. Chip in to a strong engineering culture: Participate actively in code reviews, knowledge sharing sessions, and team discussions. Stay ahead of the curve: Continuously learn and stay abreast of the latest advancements in AI/ML research, industry trends, and standard methodologies. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. 7+ years of professional software development experience using programming languages such as Go, Python or Java Proven experience as a Backend Engineer with expertise in integrating and scaling complex services. Strong foundation in computer science fundamentals, with a focus on data structures, algorithms, and software design principles. Strong understanding of AI service operations, including Generative AI, and the ability to design and build interfaces between them. Experience with instrumentation and monitoring tools for measuring service performance. Excellent problem-solving skills and the ability to solve complex technical issues. Preferred Qualifications: Master's degree in Computer Science, Artificial Intelligence, or a related field is a strong plus. Knowledge of security best practices and compliance standards. Effective collaboration and communication skills to collaborate with multi-functional teams. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connectionwe celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

NTT DATA is looking for a Data & Analytics Principal Consultant to join their team in Bangalore, Karnataka, India. As a part of this inclusive and forward-thinking organization, you will be responsible for hands-on development of GenAI solutions using the Microsoft Azure platform. You will lead the build team, maintain, deploy, and support the internal GenAI platform and integrate with LLM, Langchain, and OpenAI. Your duties will include designing and building advanced GenAI plugins and services to streamline workflows and tackle complex challenges. You will also conduct code and PR reviews, collaborate with DevOps and Cloud Engineering teams to enhance development processes, and ensure requirements are met in the platform build-out. Additionally, you will collaborate on the design and implementation of best practices for Vector DB architecture, stay updated on generative AI and LLMs, and produce detailed technical documentation for platform capabilities. The ideal candidate should have expertise in Microsoft Gen AI - copilot, Azure AI/ML, and a strong understanding of GenAI solutions development. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts across more than 50 countries and a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence solutions, and the development and management of applications, infrastructure, and connectivity. Join NTT DATA to drive innovation and transformation for long-term success.,

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier, and more comfortable but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klber Lubrication, a company of the Freudenberg Group, is the global leader in specialty lubrication with manufacturing operations in North and South America, Europe, and Asia, subsidiaries in more than 30 different countries, and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. Some of your Benefits Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success. Health Insurance: Rely on comprehensive services whenever you need it. Personal Development: We offer a variety of trainings to ensure you can develop in your career. Safe Environment: We strive to ensure safety remains a top priority and provide a stable environment for our employees. Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement. Bangalore On-Site Klber Lubrication India Pvt. Ltd. You support our team as Statistical Analytics Engineer (F/M/D) Responsibilities Performs projects in statistics, data science, and artificial intelligence in the technical field of KL under the guidance of experts, evaluates, and comments on results. Implements data processes and data products into operations and works on their operation and optimization. Coordinates regularly with experts in statistics, data science, and artificial intelligence at KL. Maintains a balance between effort (time, cost) and expected benefit of incoming requests. Contributes ideas for KL-relevant developments and methods, especially in the field of data analysis and artificial intelligence, and implements them as needed. Supports the improvement and automation of processes/workflows in own & adjacent work areas through statistical methods and evaluations. Works on cross-functional project teams and projects with external partners. Keeps own expertise up to date (self-study, external training, meetings, specialist groups). Supports technical colleagues in the introduction, use, and quality assurance of data analysis tools. Presents contributions to statistics and data science in the context of Klber internal and customer training. Qualifications Engineering Graduate /Masters in Chemistry, Physics, or equivalent degree. Overall 7-10 years of experience in data modeling, analysis, and visualization in manufacturing or industrial environment. Completed higher education in science, focus on chemistry, physics, mathematics, or related discipline. Strong experience in methods for processing, evaluating, and modeling data. In-depth programming knowledge with a focus on data science and data engineering, preferably in Python. Experience using cheminformatics, materials informatics, generative AI, and machine learning. Experience in developing interactive data applications with frameworks like Shiny, Dash, or streamlit. Good knowledge of relational data (SQL), experience in tools like JupyterLab, Gitlab, Airflow, MLFlow, knowledge of chemical analysis and organic chemistry.,

We are looking for individuals who share our core belief that Every Day is Game day. At Pine Labs, we aim to enrich the world through the power of digital commerce and financial services by bringing our best selves to work each day. As a Senior Database Leader, you will be responsible for leading our Database Engineering and Analytics teams. Your role will involve a deep technical understanding of database architectures, managing production databases, and optimizing database environments on managed cloud platforms to enable highly available and scalable data solutions. Your responsibilities will include leading and managing the Database Engineering and Analytics teams to ensure optimal performance and availability of all database environments. You will oversee the architecture and operation of production databases, manage various databases such as SQL Server, Postgres, and MongoDB, and deploy highly available database solutions with redundancy for critical business systems. Additionally, you will collaborate with cross-functional teams on data analytics initiatives, supporting machine learning projects and analytical workloads while leveraging cutting-edge technology for best-in-class data solutions for our customers. To excel in this role, you should have a minimum of 15-20 years of industry experience, including at least 5 years of direct experience in managing database engineering teams, data lakes, and analytical workloads. You should possess expertise in managing various databases, setting up highly available database architectures, and working with cloud-based database setups on platforms like AWS, Azure, or GCP. Additionally, experience in Fintech, knowledge of reporting solutions, strong leadership skills, problem-solving abilities, and excellent communication skills are essential for success in this role. At Pine Labs, we value individuals who make decisions fast, take ownership of their work, build solutions for merchants, seek continuous learning, and pride themselves in the work they do.,

This job is with Oracle, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About The Job Location: Bangalore Career Level: IC3 Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. Were looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Masters in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Career Level - IC3 Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI&aposs. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned. As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays challenges. Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. Thats why were committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. Were committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [HIDDEN TEXT] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Your IT Future, Delivered Software Engineer With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions . We work beyond global borders and push boundaries across all dimensions of logistics . You can leave your mark shaping the technology backbone of the biggest logistics company of the world. Our locations, Malaysia, Czech Republic and India earned the #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experience. Digitalization. Simply delivered. At IT Services, we are passionate about technology . Our product team is continuously expanding. No matter your level of proficiency, you can always grow within our diverse environment. #DHL #DHLITServices #GreatPlace #angular #UI #frontenddev #GenerativeAI Grow together! At DHL Group, we prioritize the punctual delivery of packages worldwide, while maintaining the highest level of customer data security. Our expertise lies in ensuring swift and trouble-free clearance from customs organizations across the globe. We empower our customers to seamlessly manage their shipments and provide all necessary customs clearance documentation through a streamlined and dynamic process. With a global perspective at the heart of our operations, our product philosophy is built around flexibility and customization, all with a strong emphasis on customer-centricity. Your primary responsibilities will include: Designing and developing customer-centric, scalable, and secure web applications using the Angular framework. Writing efficient code and creating libraries that adhere to best practices in performance, security, testability, reusability, and browser compatibility. Crafting UI/UX mockups to visually represent capabilities to the business team. Demonstrating end-to-end ownership of the product collaborating with other applications/system in the ecosystem. Embrace a DevSecOps mindset, taking requirements from implementation to production deployment and support. Rapidly respond to and troubleshoot issues arising from production. Communicating in clear, concise, and timely manner. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe. Excellent spoken and written English language skills will come in handy. Collaborating effectively with all team members, embodying the spirit of a team player. Cultivating a growth mindset, ready to learn and adapt in alignment with the organization&aposs direction. In depth understanding of Software Development Methodologies and DevSecOps process and tools You can work independently, prioritize, and organize your tasks under time and workload pressure. Ready to embark on the journey Here is what we are looking for: At least 4 years of firsthand implementation knowledge of Angular and Typescript. Exceptionally good knowledge of JavaScript, HTML5, CSS3, Angular v8 and above Proficient in Jasmine/JEST, npm, UX performance analysis, Jenkins, Proficient in prompt engineering for leveraging the best from the AI tools and LLMs for code generation, code reviews, code optimizations etc. Knowledge of Python. Basic knowledge in Generative AI models and use cases. Familiarity with version control systems (e.g., Git) and project management tools, OpenShift and Azure basics will be essential for succeeding in this role. Here is an array of benefits for you: Annual Leave 42 days off apart from Public / National Holidays Medical Insurance - Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering preexisting diseases. In House training programs - professional and technical training certifications Flexible Work options Show more Show less

As a Senior Software Engineer specializing in Data Science, you are expected to bring 3 to 6 years of experience to the role. Your expertise will be crucial in driving our projects forward and achieving our goals. Working at our location in Airoli, Navi Mumbai, you will adhere to office hours from 11 AM to 8 PM across 5 days a week. Your primary responsibility will be to leverage your 3 years of experience as a Data Scientist and a minimum of 3 years of proficiency in Python programming to design, develop, and maintain Python-based applications with a focus on ML and AI. Additionally, you should possess at least 1+ years of experience in ML & NLP, 1.5 years of experience with LLMs and generative AI (GenAI), and 2 years of experience with any database. Your role will also involve deploying ML models/Python applications on Azure or AWS, and familiarity with LLMOps will be considered a plus. In this position, you will design and optimize ML/NLP models and integrate them into production systems. You will be responsible for implementing and fine-tuning LLMs and GenAI solutions for business applications, managing database structures to support ML applications and data pipelines, and deploying and monitoring ML models in cloud environments such as AWS/Azure. Collaboration is key in our work environment, and you will be expected to work closely with cross-functional teams to deliver effective solutions. Your ability to write clean, efficient, and well-documented code will be essential. Participation in code reviews, providing feedback, troubleshooting technical issues in production, and staying updated with emerging trends in ML, NLP, and GenAI are all vital aspects of this role.,

Job Description Join AI4Tech to elevate your career by leading Generative AI adoption and proficiency for engineers? Job Summary As a Customer Success Manager - VP - AI4Tech Learning and Enablement Lead within AI4Tech, you will be instrumental in advancing the engineer&aposs journey by imparting Generative AI skills and best practices to boost adoption and productivity. Your role will leverage your expertise in proactive collaboration, feedback sessions, and deep product knowledge to cultivate a culture of continuous learning and proficiency. You will build and sustain strong relationships with our engineers, gaining insight into their unique needs and goals, and ensuring they achieve success with our Generative AI solutions. Your primary focus will be on promoting product adoption, enhancing proficiency, and empowering engineers to effectively utilize AI technologies, thereby maximizing their potential and contributing to the organization&aposs innovation and growth. Job Responsibilities Enhance Learning and Proficiency: Design training programs to elevate engineers' skills in Generative AI. Drive Adoption and Productivity: Develop strategies to promote Generative AI solutions. Cultivate Continuous Learning: Provide ongoing educational opportunities and resources. Proactive Collaboration: Facilitate collaboration between engineers and cross-functional teams. Feedback and Improvement: Conduct regular feedback sessions to refine training content. Relationship Building: Establish strong relationships with engineers to tailor support. Product Knowledge Expertise: Provide expert guidance and mentorship in Generative AI. Empowerment and Enablement: Provide tools and resources for effective AI technology use. Required Qualifications, Capabilities, And Skills Technology Expertise: 8+ years of experience in customer success and technology. Dev Assist Proficiency: Understanding of Dev Assist tools and practices. Generative AI Knowledge: Ability to drive product adoption in Generative AI. Communication Skills: Excellent communication and interpersonal skills. Technical Acumen: Ability to learn and teach new technologies quickly. Agile and DevOps Experience: Familiarity with PDLC, Agile, and DevOps practices. Mapping Skills: Proficiency in journey and process mapping. Leadership and Planning: Strong leadership and project planning skills. Preferred Qualifications, Capabilities, And Skills Generative AI Specialization: Specialized knowledge in Generative AI technologies. Cross-Functional Collaboration: Ability to work collaboratively across departments. Customer-Centric Approach: Focus on understanding and addressing customer needs. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that were setting our businesses, clients, customers and employees up for success. Show more Show less

As a Generative AI Chatbot Architect, you will be at the forefront of designing, developing, and implementing advanced conversational AI solutions to elevate customer engagement, enhance productivity, and streamline business operations. Your role will involve harnessing the latest Generative AI technologies, Microsoft Azure services, and modern AI frameworks. Your responsibilities will include optimizing, developing, and testing scalable, high-performance chatbot solutions utilizing the Microsoft Bot Framework, Generative AI models, and Azure Cognitive Services. With a minimum of 8 years of experience in software development, focusing on Generative AI solutions, you will bring valuable expertise to the table. A degree in B.Tech or M.Tech is required for this role. Proficiency in C# programming is essential for this position. You should have hands-on experience working with Microsoft Azure Cloud services and be adept at creating clear and concise technical documentation such as architecture diagrams, API documentation, and system workflows. Familiarity with Agile frameworks like Scrum and tools such as Jira and Confluence will be beneficial in executing your responsibilities effectively. Your experience should also include integrating third-party AI models into customized solutions and familiarity with Agentic AI. Knowledge of DevOps practices related to CI/CD pipelines and chatbot deployment will be an advantage in this role. The position is based in Gurgaon, and the expected experience range for this role is 8-14 years. Key skills required for this position include proficiency in Azure Cloud, Generative AI, and knowledge of RAG.,

Hi, We are looking for AI Lead Engineer Position Summary We are seeking an experienced and visionary AI Lead Engineer to spearhead the design, development, and scaling of an enterprise-grade, automated FAQ Generation Platform powered by Generative AI. This role will be pivotal in architecting intelligent systems that ingest structured/unstructured content and dynamically generate, validate, and optimize FAQs across domains such as travel, accommodation, policy, and support services. The ideal candidate brings deep expertise in LLM operations (LLMOps), retrievalaugmented generation (RAG), prompt engineering, and multi-modal pipeline orchestration, and can lead cross-functional teams from PoC to production Key Responsibilities • Lead the technical design and architecture of a scalable application using AWS Bedrock, OpenSearch, and DynamoDB. • Drive LLM integration (e.g., Claude, Titan, or third-party models) to enable contextual, accurate, and diverse application development • Develop and optimize semantic search and vector-based retrieval pipelines, supporting real-time and batch generation workflows. • Design and maintain feedback loops for continuous model and content improvement, integrating business and user feedback. • Collaborate closely with UX/UI teams, data engineers, and business SMEs to ensure that the application is aligned with domain needs. • Implement automated data ingestion, preprocessing, and metadata tagging from diverse content sources (PDFs, CMS, knowledge bases). • Define and uphold AI ethics, bias mitigation, and compliance standards in line with enterprise and regulatory frameworks (e.g., EU AI Act). • Provide technical mentorship to AI developers and guide sprint-level deliverables using Agile practices Qualifications • Bachelors or Masters in Computer Science, AI/ML, Data Science, or a related discipline. • 5+ years of experience in AI/ML engineering, with 3-4 years in Generative AI or NLP-led product delivery. • Proven experience with LLMs, Bedrock, LangChain, OpenSearch, and Vector Databases (e.g., Pinecone, FAISS). • Strong hands-on skills with Python, AWS Lambda, DynamoDB, and orchestration tools (Airflow, Step Functions). • Deep understanding of prompt engineering, RAG pipelines, embeddings, and content chunking strategies. • Experience in security and compliance alignment (PII detection, encryption, audit trails) for AI systems. What We Offer • A pioneering opportunity to lead the next-gen AI product shaping intelligent customer experience. • A collaborative environment with cross-functional tech and domain teams. • Access to enterprise AI tooling and LLM platforms (Anthropic, AWS, OpenAI). • Competitive compensation, benefits, and career growth in AI leadership. Good to Have • Exposure to multi-lingual NLP, enterprise search, or knowledge graph integration. • Familiarity with MLOps/LLMOps practices, CI/CD for ML pipelines, and model performance monitoring. • Experience in leading enterprise GenAI use cases such as document QA, virtual assistants, or intelligent search. • GitHub/portfolio (if any) • Brief note on your experience with GenAI-powered systems

Key Responsibilities: We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Financial Services strong business acumen and excellent soft skills Exposure to Technology Preferred Skills: Technology->Machine Learning->Generative AI

Key Responsibilities: We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Financial Services strong business acumen and excellent soft skills Exposure to Technology Preferred Skills: Technology->Machine Learning->Generative AI->closed models (azure open ai)

Key Responsibilities: We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Financial Services strong business acumen and excellent soft skills Exposure to Technology Preferred Skills: Technology->Machine Learning->Generative AI->closed models (google vertex ai)

Key Responsibilities: We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Financial Services strong business acumen and excellent soft skills Exposure to Technology Preferred Skills: Technology->Machine Learning->Generative AI

We are looking for an experienced Solution Architect in Generative AI to lead the design and delivery of enterprise-grade GenAI solutions across Azure and Google Cloud platforms. This is a full-stack leadership role requiring deep technical expertise and the ability to guide teams through end-to-end project execution. Key Responsibilities: Lead architecture for GenAI projects: LLMs, embeddings, RAG, prompt engineering, agent frameworks. Define scalable designs across full-stack: React, Node.js, .NET Core, C#, Cosmos DB, SQL/NoSQL, vector DBs. Implement Azure/GCP cloud-native solutions using AKS, GKE, Functions, Pub/Sub. Drive CI/CD automation via GitHub Actions, Azure DevOps, Cloud Build. Conduct architecture/code reviews and enforce security, DevSecOps, and performance standards. Translate business requirements into technical solutions and communicate with senior stakeholders. Mentor engineering teams and promote innovation, collaboration, and agile delivery. Required Skills: Generative AI, LLMs, Prompt Engineering, LangChain, RAG, C#, .NET Core, React, Node.js, Azure, Google Cloud, AKS, GKE, Terraform, CI/CD, Cosmos DB, BigQuery, Microservices, DevSecOps, API Gateway Qualifications: Bachelors in Computer Science or Engineering (Master’s in AI/ML preferred) Strong leadership, communication, and stakeholder management skills Apply Now: shrishtispearhead1@gmail.com Contact: +91 8299010653

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.