1435 Generative Ai Jobs - Page 3

As a Data Governance & Data Quality Analyst , you will play a key role in implementing and adopting Amgen's data governance framework, which aims to modernize its data ecosystem and position the company as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI and Machine Learning . You will work closely with business stakeholders and data analysts to ensure the successful implementation and adoption of the data governance framework, collaborating with Data Stewards to increase trust and reuse of data across Amgen. Roles & Responsibilities Data Governance Implementation: Contribute to the implementation of the data governance and data management framework for a specific domain of expertise (e.g., Research, Development, Supply Chain). Stakeholder Collaboration & Assessment: Assess and document stakeholder needs related to data governance, including data quality, access controls, compliance with privacy and security regulations, and master data management. Standard Enforcement: Work with Enterprise MDM and Reference Data teams to enforce standards and promote data reusability. Documentation & Compliance: Maintain documentation on data definitions, standards, data flows, and common data models for assigned domains. You will also partner with business teams to identify compliance requirements for data privacy, security, and regulatory policies. Data Foundation Delivery: Jointly deliver data foundations in collaboration with Technology teams, business functions, and enterprise teams (e.g., MDM , Enterprise Data Fabric). Process Improvement: Identify areas for data governance improvements and help resolve data quality problems through appropriate error detection, correction, and process design changes. Qualifications A minimum of 2-5 years of experience in Business, Engineering, IT , or a related field. General knowledge of data management, common data models, metadata management, data quality, master data management, and data stewardship. General knowledge of the data products development lifecycle, including the enablement of data dictionaries and business glossaries. Knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial) is a plus. Experience working with or supporting systems used for data management ( e.g., Collibra, Ataccama Data Quality platform ) is a plus. Experience with Agile software development methodologies ( Scrum ) is a plus. Soft Skills Analytical Skills: Good analytical skills and excellent problem-solving abilities with a committed attention to detail. Communication: Excellent written and verbal communication skills, with the ability to confidently work with internal and external stakeholders. Collaboration: The ability to work effectively with global, virtual teams and build strong business relationships. Teamwork: Team-oriented, with a focus on achieving team goals.

About Aeris: For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 80 million IoT devices across the world. Aeris powers today's connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We're profitable, and both our bottom line and our global reach are growing rapidly. We're playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast pace. A few things to know about us: - We put our customers first. When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last. - We do things differently. As a pioneer in a highly competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way. - Integrity is essential. We believe in doing things well and doing them right. Integrity is a core value here: you'll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You'll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company. - We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative. Job Description: As a Tech Lead at Aeris, you will be responsible for research, design, and development of next-generation Applications supporting billions of transactions and data. This role will involve designing and developing cloud-based solutions with extensive hands-on experience on Big Data, distributed programming, ETL workflows, and orchestration tools. You will also be working on the design and development of microservices in Java / J2EE, Node JS, with experience in containerization using Docker, Kubernetes. Your focus should be on developing cloud-native applications utilizing cloud services. You will collaborate with product managers/owners and internal as well as external customers following Agile methodology. It is essential to practice rapid iterative product development to mature promising concepts into successful products. Furthermore, you should be experienced in using GenAI for faster development. Skills Required: - Proven experience in developing high-performing, scalable cloud applications using various cloud development stacks & services. - Deep skills in Java / Python / Node JS / SQL / PLSQL. - Working experience with Spring boot, ORM, JPA, Transaction Management, Concurrency, Design Patterns. - Good Understanding of NoSQL databases like MongoDB. Experience on workflow and orchestration tools like NiFi, Airflow would be a big plus. - Deep understanding of best design and software engineering practices, design principles and patterns, unit testing, performance engineering. - Good understanding Distributed Architecture, plug-in and APIs. - Prior Experience with Security, Cloud, and Container Security possess a great advantage. - Hands-on experience in building applications on various platforms, with a deep focus on usability, performance, and integration with downstream REST Web services. - Exposure to Generative AI models, prompt engineering, or integration with APIs like OpenAI, Cohere, or Google Gemini. Qualifications/Requirements: - B. Tech/Masters in Computer Science/Engineering, Electrical/Electronic Engineering. Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional detail will be provided via the formal application process. Aeris walks the walk on diversity. We're a brilliant mix of varying ethnicities, religions, cultures.,

As a Technology Analyst Java Engineer at AVP level based in Bangalore, India, you will be part of the Technology Management team responsible for enhancing operational technology to reduce costs, improve performance, and achieve business objectives. Your role will involve collaborating with internal stakeholders to translate bank strategy into actionable plans, optimizing computer operations, ensuring systems performance meets requirements, and transforming business needs into technical solutions. In this position, you will work globally, establishing strong relationships with diverse teams to drive technology strategy execution. Your focus will be on maintaining an engineering-focused approach and developing innovative solutions aligned with the Bank's strategic direction. You will support various applications and businesses, coordinate the application lifecycle, conduct data analysis, and ensure compliance with IT governance policies. To excel in this role, you should have 10-12 years of hands-on experience with Core Java, Spring/Spring Boot, Hibernate/JPA, JMS/Kafka/MQ, REST API, C# & .NET, and Microservice architecture. Additionally, expertise in relational databases, software development lifecycle methodologies, and cloud platforms like GCP/Azure/AWS would be beneficial. Your ability to learn quickly, solve problems, communicate effectively, and work well under pressure will be essential. You will have access to various benefits, including leave policies, parental leaves, childcare assistance, sponsorships for certifications, employee assistance programs, insurance coverage, and health screenings. Training, coaching, and a culture of continuous learning will support your career growth and development. If you hold a Bachelor of Science degree in Computer Science or Software Engineering, have familiarity with the finance industry, possess a positive attitude, and demonstrate a proactive approach to learning and adapting to new technologies, you are encouraged to apply. Join Deutsche Bank Group to be part of a collaborative and inclusive work environment where excellence is celebrated, and continuous improvement is embraced.,

The role involves leading the design and implementation of technology solutions to optimize procurement processes for Direct material spend management. You will provide expertise in Generative AI to enhance supply chain operations and decision-making. Managing Supply Chain Management systems to improve logistics and inventory control will be a key responsibility. Additionally, you will utilize iValua to effectively manage procurement activities and supplier relationships. Collaborating with cross-functional teams to align technology solutions with business objectives is essential. As part of your role, you will develop and maintain architecture standards and best practices for technology solutions. Ensuring compliance with industry regulations and company policies in technology implementations is crucial. Monitoring and analyzing system performance to identify areas for improvement and optimization will be required. Providing technical guidance and support to team members and stakeholders is also a key aspect of the role. Driving innovation and continuous improvement in technology solutions to support business growth is expected. Effective communication with stakeholders to understand their needs and provide appropriate solutions is vital. The ideal candidate should have expertise in Generative AI and its application in supply chain management. Experience with iValua and its functionalities is necessary. Nice to have experience in Asset Management Operations and Asset & Wealth Management. Excellent problem-solving and analytical skills are required, along with strong communication and collaboration abilities. Certifications Required: - Certified Supply Chain Professional (CSCP) - iValua Certification - AI Certification,

As the Associate Director, Global Channel Analytics at GSK, you will be responsible for tracking, analyzing, and reporting on channel and content performance metrics within the Global Scientific Communications organization. Your role will involve providing actionable insights to optimize scientific communication strategies across therapeutic areas. Collaboration with Digital and Medical teams will be key to integrating generative AI tools into omnichannel content workflows, enhancing engagement, efficiency, and personalization. Your key responsibilities will include tracking, analyzing, and reporting on metrics and analytics across key scientific communication channels to improve channel and content engagement. You will synthesize complex analytics into data storytelling, shaping content planning and dissemination strategies through clear data-backed recommendations. Developing and maintaining metrics-driven narratives for reporting on integrated medical communication plans will involve collaborating with Digital teams for robust data visualization. Collaboration across the Scientific Communications team and Digital team will be essential to assess channel performance across various platforms, ensuring alignment with evolving content dissemination approaches. You will also identify performance trends and share strategic recommendations to optimize channel selection, audience targeting, and engagement approaches for scientific communications deliverables. Leveraging generative AI tools to enhance analytic efficiency will be a core aspect of your role, including monitoring AI-generated content performance and refining AI model tools in collaboration with Digital based on audience engagement metrics. To be successful in this role, you should have an advanced degree in science, medicine, pharmacy, or a related field, along with 5-7 years of related experience in scientific communications, analytics, and/or medical affairs. Proficiency in data visualization tools and experience leveraging insights to drive scientific communications strategies is required. Strong understanding of generative AI, cross-functional collaboration skills, problem-solving abilities, and technical capabilities in Excel, PowerPoint, and Team sites are essential. Preferred qualifications include a postgraduate degree, local, regional, or global medical or R&D experience with expertise in therapeutic areas, and experience with scientific communication strategies in large global markets. GSK is committed to inclusion, and adjustments can be made during the recruitment process by reaching out to the Recruitment Team. GSK is dedicated to uniting science, technology, and talent to positively impact the health of billions of people and deliver sustainable returns. Join GSK in its mission to prevent and treat diseases and create a thriving environment where people can excel and grow.,

You are a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience, seeking to join a dynamic team that values AI/ML analytics expertise. Your strong background in leveraging data for driving business insights and innovation will be key to your success in this role. Your responsibilities will include developing and implementing machine learning models and algorithms, collaborating closely with project stakeholders to understand requirements and translate them into deliverables. You will utilize statistical and machine learning techniques to analyze and interpret complex data sets, while staying updated with the latest advancements in AI/ML technologies and methodologies. Collaboration with cross-functional teams to support various AI/ML initiatives will also be a crucial aspect of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required for this position. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision (YOLO), Deep Learning stack, NLP using Python. Additionally, you should have strong knowledge and experience in Generative AI/LLM based development and working with key LLM models APIs and frameworks. Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure is preferred. Expertise in building secure data ingestion pipelines for unstructured data, effective text chunking techniques, and working with text embeddings is crucial for this role. Proficiency in Python, TypeScript, NodeJS, ReactJS and their frameworks, as well as experience with data visualization tools and deep learning frameworks, is required. Knowledge of version control systems and good to have skills in building knowledge graphs and multi-agent systems will be beneficial for this position. Pentair is an Equal Opportunity Employer that values diversity and believes in the importance of a diverse workforce for continued success. Your cross-cultural insight and competence will be essential for contributing different perspectives and creative ideas to drive continuous improvement within the organization.,

We are looking for an experienced AI Engineer to join our team and lead the development of cutting-edge AI solutions, particularly focusing on Generative AI and its applications in the legal domain. The ideal candidate should have a solid background in constructing and training AI/ML models from the ground up, deploying them in production environments, and working with advanced technologies such as NLP, LLMs, and vector databases. If you have experience in creating AI models, especially custom Large Language Models (LLMs) or domain-specific models, you are well-suited for this role. Your responsibilities will include designing, developing, and training custom AI models, particularly Generative AI and NLP-based models tailored for legal applications. You will also be tasked with implementing techniques to fine-tune and optimize large language models for domain-specific use cases, building models from scratch as necessary while ensuring scalability, accuracy, and efficiency. Additionally, you will design and implement AI-driven systems using Python and frameworks like FastAPI and Django for robust API development, as well as develop and integrate vector databases for semantic search, embeddings, and retrieval-augmented generation (RAG). Furthermore, you will manage data pipelines, including preprocessing and cleansing unstructured text such as legal documents, contracts, and case law. Working with SQL and PostgreSQL databases for structured data storage and retrieval will also be a part of your role. You will develop generative solutions for tasks like document summarization, legal drafting, knowledge extraction, and automated reasoning, leveraging modern transformer architectures such as GPT, BERT, LLaMA, Falcon, among others, to build advanced capabilities. Collaboration with product, legal, and engineering teams to comprehend requirements and deliver solutions in an Agile environment using tools like Jira and GitHub is essential. Mentoring junior engineers and contributing to knowledge sharing within the team are also key responsibilities. Staying updated with the latest advancements in AI, LLMs, RAG, and Generative AI technologies and applying them to real-world scenarios, as well as proposing innovative solutions to enhance the efficiency, accuracy, and scalability of existing systems are also expected from you. Preferred qualifications for this role include a Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields, strong expertise in Python programming, familiarity with frameworks like FastAPI and Django, experience with TensorFlow, PyTorch, Hugging Face, and preferred knowledge of LangChain. Additionally, experience with databases like MySQL, PostgreSQL, and exposure to Vector Stores (e.g., Pinecone, Weaviate, FAISS), as well as familiarity with containerization (Docker), CI/CD pipelines, and tools like GitHub, Jira, and Agile methodology are preferred. Candidates with 8+ years of experience in AI/ML engineering, a proven track record of building and deploying custom AI models into production, hands-on experience with Generative AI, LLM fine-tuning, and retrieval-augmented generation (RAG) are highly encouraged to apply. Experience with cloud platforms (AWS, Azure, GCP) for AI deployments, knowledge of MLOps practices for model lifecycle management, contributions to open-source AI/ML projects, and prior experience in developing legal-specific AI tools or solutions are considered advantageous for this role.,

You have a great opportunity as an MLOps Engineer with the following responsibilities: With over 5 years of experience in Data Engineering and MLOps, you will be responsible for deploying and managing data science pipelines in production environments. Your strong proficiency in Python programming language, coupled with at least 3 years of exposure in this field, will be key to your success. Experience with Spark/PySpark and other distributed computing frameworks will also be crucial in this role. Your hands-on experience with CI/CD pipelines and automation tools will be essential. You will be expected to deploy a use case in production that leverages Generative AI involving prompt engineering and RAG Framework. Familiarity with Kafka or similar messaging systems is a plus. As a problem-solver, you will need to have strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Attention to detail and effective communication with diverse clients and stakeholders are also important aspects of this role. To qualify for this position, you should have a Bachelor's or Master's degree in computer science, engineering, or a related field. Tier I/II candidates are preferred. If you are ready to take on this exciting opportunity, apply now!,

You are a talented and innovative AI/ML Engineer with a strong background in machine learning and deep learning. You have a keen interest in Generative AI (GenAI) and are excited to explore, implement, and scale GenAI models. Your primary responsibilities include designing and deploying end-to-end AI/ML solutions, experimenting with cutting-edge GenAI frameworks and tools, and collaborating with cross-functional teams to solve business problems using ML solutions. Your key responsibilities involve designing and developing robust ML models, including traditional and deep learning approaches. You will also build, train, fine-tune, and deploy Generative AI models for various use cases such as text, image, or code generation. Utilizing AWS services like SageMaker, Lambda, EC2, S3, and Glue to build scalable AI/ML solutions is an essential part of your role. Additionally, you will create and automate ML pipelines using CI/CD and MLOps best practices, conduct data preprocessing, feature engineering, and EDA for model development, and ensure model performance, fairness, and explainability throughout the lifecycle. To excel in this role, you should hold a Bachelor's/Masters degree in Computer Science, AI/ML, Data Science, or a related field and have at least 3 years of hands-on experience in machine learning and deep learning using Python with TensorFlow, PyTorch, Hugging Face, etc. Strong hands-on experience with AWS AI/ML services, experience in deploying LLMs or transformer-based models in production, and familiarity with GenAI tools like Hugging Face Transformers, LangChain, OpenAI API, Bedrock, or LLamaIndex are required. You should also possess working knowledge of REST APIs, microservices, and containerized deployments, proficiency in MLOps tools such as MLflow, SageMaker Pipelines, or Kubeflow, and strong communication skills to present complex ML concepts clearly. Preferred qualifications include experience with prompt engineering, fine-tuning, or RAG techniques, AWS Machine Learning Specialty certification or equivalent, exposure to NLP, computer vision, or multi-modal GenAI models, and contributions to open-source GenAI projects or research. Stay updated with the latest trends in GenAI and propose innovative solutions using LLMs or transformer-based architectures to drive continuous improvement in AI/ML solutions.,

As an engineer specializing in Generative AI and AI agent development at PubMatic, you will play a key role in building and optimizing advanced AI agents that utilize cutting-edge technologies such as Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). Your primary responsibilities will involve developing state-of-the-art solutions to enhance Generative AI capabilities, enabling the platform to handle complex information retrieval, contextual generation, and adaptive interactions. You will collaborate closely with a cross-functional team of engineers, architects, product managers, and UX designers to innovate AI solutions for new customer use-cases. Working independently, you will iterate rapidly based on customer feedback to refine product features. Your tasks will include implementing and optimizing LLMs for specific use cases, integrating RAG systems to enhance content accuracy, designing and optimizing vector databases for efficient search, and fine-tuning prompts to improve LLM performance. In this role, you will leverage evaluation frameworks and metrics to assess and enhance the performance of generative models and AI systems. Additionally, you will work with data scientists, engineers, and product teams to integrate AI-driven capabilities into both customer-facing products and internal tools. Staying updated with the latest research and trends in LLMs, RAG, and generative AI technologies will be essential to driving innovation within the company's offerings. To be successful in this role, you must possess a strong understanding of large language models, transformer architecture, and hyper-parameter tuning. You should have proven experience in building AI agents using Retrieval-Augmented Generation and working with external data sources. Proficiency in Python, experience with machine learning libraries such as TensorFlow and PyTorch, and familiarity with technologies like FAISS, Pinecone, and Weaviate are required. A bachelor's degree in engineering (CS/IT) or an equivalent degree from a reputable institute is necessary for this position. Additionally, experience with graph-based architectures, cloud platforms (AWS, GCP, Azure), and containerization technologies (Docker, Kubernetes) would be beneficial. Publication or contributions to research in AI-related fields are considered a plus. PubMatic offers a hybrid work schedule allowing employees to work 3 days in the office and 2 days remotely, aiming to maximize collaboration and productivity. The benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and other perks such as a kitchen stocked with snacks and catered lunches. Join PubMatic, a leading digital advertising platform, and contribute to driving better business outcomes through transparent advertising solutions on the open internet.,

You are seeking a role as a Regulatory Affairs Data Analyst with a strong background in analytics and a keen interest in emerging technologies. In this position, you will be joining a global Regulatory Affairs team, where you will be involved in utilizing data analytics, enterprise document intelligence, and generative AI to enhance regulatory processes through innovation. Your responsibilities will include analyzing regulatory content and structured data to extract insights, collaborating with cross-functional teams to define and implement Custom GPTs for document summarization and classification, evaluating AI tools for enterprise document processing, working with enterprise document management systems and data lakes to access and process content efficiently, building automated workflows, supporting model evaluation, and creating data-driven visualizations for regulatory stakeholders. To excel in this role, you should possess a Master's degree in Data Science, Data Analytics, or Artificial Intelligence, along with 2-4 years of experience in data analysis or operations analytics. Proficiency in SQL and Python is essential for data manipulation and automation. Exposure to Generative AI tools and experience with enterprise document management systems and data lake platforms are highly desirable. You should have strong attention to detail, critical thinking skills, and the ability to work independently in a regulated environment. By joining this team, you will have the opportunity to work on cutting-edge GenAI-first projects in the regulatory space, gaining hands-on experience with enterprise-grade AI tools and data platforms. You will be part of a collaborative and innovative team environment that focuses on excellence, precision, and impact, providing you with ample opportunities for career growth in the intersection of regulatory intelligence, AI, and data engineering. If you are looking for a challenging, supportive, and inspiring career where you can contribute to making the world a healthier place, this role offers you the platform to do so. Join a workplace that values diversity, inclusivity, and individual expression, and where innovative ideas thrive. If this resonates with you, apply now to be part of this dynamic team.,

As a Senior Data Scientist at EY, you will have the opportunity to shape your future with confidence by being part of a globally connected powerhouse of diverse teams. Your role will involve leveraging your expertise to take your career wherever you aspire it to go and contribute towards building a better working world. To qualify for this role, you should possess a Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or related disciplines, along with 4+ years of hands-on Data Science experience. Your proven track record of successfully deploying projects to production, coupled with excellent problem-solving and data analysis skills, predictive modeling expertise, statistical knowledge, and proficiency in machine learning algorithms will be essential. You must demonstrate strong coding skills in Python and flexibility in other languages like R. Experience in creating impactful visualizations using tools such as Plotly, Power BI, and Tableau, as well as familiarity with SQL and relational databases, will be advantageous. Knowledge of Generative AI techniques and frameworks like Ollama models, LangGraph, and LangChain will be a plus. As a Senior Data Scientist, you will be responsible for working independently or collaboratively to deliver end-to-end data science projects within specified timelines and budgets. Your role will involve analyzing complex data sets, identifying trends and insights, and presenting findings to stakeholders using data visualization tools. You will also need to select appropriate machine learning algorithms to solve business problems, design experiments, and manage data for ML projects. Collaboration with team members, adherence to industry best practices, staying updated with the latest machine learning research, and mentoring junior team members will be integral parts of your responsibilities. Additionally, you should be willing to travel to the MENA region based on business requirements. Join EY and be part of a team that is dedicated to building a better working world, creating new value for clients, people, society, and the planet. By harnessing the power of data, AI, and advanced technology, EY teams help clients shape the future with confidence and address the most critical challenges of today and tomorrow. With a focus on assurance, consulting, tax, strategy, and transactions, EY offers services globally, supported by sector insights, a diverse network, and ecosystem partners across 150+ countries and territories.,

You should hold a Bachelors or masters degree in mathematics, Statistics, Data Science, Computer science/engineering or a related field. With 5 to 6 years of experience in data science, analytics, AI/ML, and model deployment end to end. Having experience in the financial services or stock market domain is a plus. You will be responsible for leading a team of 2 junior team members and should have a proven record in delivering business outcomes through data-driven insights and analytics/data science. Proficiency in Python, Pyspark, SQL, data engineering, and time series data analysis is required. A sound knowledge of Generative AI is essential for this role. Additionally, excellent communication skills, problem-solving abilities, and a curious mindset to drive business outcomes are highly valued.,

You will play a crucial role as an AI/ML Engineer with a strong expertise in Generative AI, machine learning, and proficiency in programming languages like Python and Go. The ideal candidate should possess in-depth knowledge of SAP BTP, including practical experience with SAP BTP AI Core, AI Launchpad services, and the GenAI Hub. Your responsibilities will involve deploying and managing AI solutions using SAP BTP AI Core and AI Launchpad services, collaborating with diverse teams to integrate AI/ML solutions, and designing and implementing AI/ML models, focusing on generative AI techniques and large language models. Your primary duties will include developing and maintaining scalable applications with Python and Go, fine-tuning large language models for specific use cases through prompt engineering, and staying updated on the latest advancements in AI/ML and SAP BTP. You will also provide technical expertise and support for SAP BTP AI Business services, document project results, and present actionable insights to stakeholders. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with 7-9 years of experience in AI/ML, emphasizing generative AI and large language model development. Solid understanding of SAP BTP, proficiency in Python and Go programming languages, familiarity with SAP BTP AI Business services, strong analytical and problem-solving skills, excellent communication abilities, and a passion for AI innovation are essential qualities for this position. Join EY to contribute towards building a better working world, where you will have the opportunity to shape your future and drive innovation in AI solutions that align with business objectives.,

As Ford Motor Company embarks on a significant multi-year Platform Lifecycle Management (PLM) program to modernize critical IT applications across the enterprise, you have a unique opportunity to join the team as a GenAI Technical Manager (LL6). In this role, you will play a pivotal part in driving the practical adoption of Generative AI (GenAI) at Ford, with a focus on creating accelerators for the PLM modernization effort and enhancing the Ford Developer Experience (DX). Your expertise will be crucial in leading the technical development and implementation of GenAI solutions within this strategic program. You will collaborate closely with various teams including PLM program leaders, GDIA (Global Data Insight & Analytics), architecture teams, PDOs (Product Driven Organizations), and engineering teams to design, build, and deploy cutting-edge GenAI tools and platforms. Your responsibilities will include leading the technical design, development, testing, and deployment of GenAI solutions, translating GenAI strategy into actionable projects, managing the technical lifecycle of GenAI tools, and overseeing the integration of GenAI capabilities into existing workflows and processes. As a technical expert in GenAI models and frameworks, you will provide guidance to development teams, architects, and stakeholders on best practices, architecture patterns, security considerations, and ethical AI principles. You will stay updated on the evolving GenAI landscape, evaluate new tools and models, and lead the development of GenAI-powered accelerators and tools to automate and streamline processes within the PLM program. Collaboration and stakeholder management will be key aspects of your role, requiring effective communication of complex technical concepts to diverse audiences. You will also lead proof-of-concept projects with emerging GenAI technologies, champion experimentation and adoption of successful tools and practices, and mentor junior team members in GenAI development tasks. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, along with 8-10+ years of experience in software development/engineering with a focus on AI/ML and Generative AI solutions. Deep practical expertise in GenAI, strong software development foundation, and familiarity with enterprise application context are essential qualifications. Preferred qualifications include GCP certifications, experience with Agile methodologies, and familiarity with PLM concepts or the automotive industry. If you are passionate about innovation in the AI space, possess strong analytical and strategic thinking skills, and excel in a fast-paced, global environment, we invite you to join us in shaping the future of AI at Ford Motor Company.,

Lead and manage a team of engineering leaders (including technical leads and Scrum Masters) and their respective teams, totaling 50 engineers. Define and implement engineering best practices, processes, and methodologies to ensure high-quality software development. Oversee the engineering project portfolio, ensuring projects are delivered on time, within budget, and meet performance expectations. Identify and mitigate technical risks in projects and operations. Define and track key performance indicators (KPIs) for the engineering team, and analyze them to guide decision-making. Attract, hire, and retain top engineering talent to build and grow high-performing engineering teams. Foster a positive and collaborative work environment that promotes innovation, creativity, and professional development for engineers. Manage the engineering department budget, ensuring efficient allocation of resources. Stay up-to-date with the latest software development trends and technologies, and evaluate their potential impact on the company. Lead and participate in architectural discussions to make sound technical decisions. Represent the engineering department in meetings with cross-functional teams and stakeholders. Support customer-facing teams in resolving technical issues. Communicate effectively with all levels of management and employees, keeping everyone informed about engineering progress and potential risks. Qualifications: Minimum 20 years of experience in software development, with at least 4 years in a senior management role Experience using Generative AI and Data Science to drive improved performance Proven track record of building and leading high-performing engineering teams. Experience with large-scale data pipelines is a plus. Experience developing new products and infrastructure, either in small companies or within the context of larger organizations. Strong understanding of the entire software development lifecycle (SDLC) including Agile methodologies. Experience in developing and implementing engineering roadmaps and strategies, OKRs planning. Excellent communication and interpersonal skills, with the ability to influence and motivate others. Strong leadership skills with a focus on coaching, mentoring, and professional development. Broad understanding of various cloud development technologies and industry trends for enterprise-scale, distributed systems. Passion for building innovative and high-quality software products Show more Show less

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an enterprise scale and are skilled in data preprocessing, feature engineering, and handling large-scale data. Your expertise extends to image and video processing, object detection, image segmentation, and other computer vision tasks. In addition, you have proficiency in text analysis, sentiment analysis, language modeling, and various NLP applications. You also have experience in speech recognition, audio classification, and signal processing techniques. Your knowledge includes RAG, VectorDB, GraphDB, and Knowledge Graphs. You have extensive experience working with major cloud platforms such as AWS, Azure, and GCP for AI/ML deployments, and integrating cloud-based AI services and tools like AWS SageMaker, Azure ML, and Google Cloud AI. As for soft skills, you exhibit strong leadership and team management abilities, excellent verbal and written communication skills, strategic thinking, problem-solving capabilities, adaptability to the evolving AI/ML landscape, collaboration skills, and the capacity to translate market requirements into technological solutions. Moreover, you have a deep understanding of industry dynamics and a demonstrated ability to foster innovation and creative problem-solving within a team.,

At Capgemini Engineering, the global leader in engineering services, we bring together a diverse team of engineers, scientists, and architects dedicated to assisting the world's most innovative companies in realizing their full potential. From cutting-edge technologies such as autonomous cars to life-saving robots, our digital and software experts are known for their out-of-the-box thinking, providing exceptional R&D and engineering services across various industries. A career with us offers endless opportunities, where you can truly make a difference and experience unique challenges each day. Capgemini is a renowned global business and technology transformation partner, committed to helping organizations seamlessly transition into a digital and sustainable future. With a presence in over 50 countries, our team of 340,000+ members is dedicated to creating tangible impacts for enterprises and society as a whole. Drawing from our rich 55-year legacy, Capgemini is a trusted partner for clients seeking to leverage technology to address a wide range of business needs. Our comprehensive services and solutions span from strategy and design to engineering, powered by our cutting-edge expertise in AI, generative AI, cloud technology, and data analytics. Backed by deep industry knowledge and a robust partner ecosystem, we are dedicated to unlocking the true value of technology for our clients.,

We are seeking a visionary and technically exceptional Principal Software Engineer - Search to lead the design and development of enterprise-wide intelligent search solutions. In this high-impact role, you will architect and scale AI -enhanced search platforms that enable scientists, clinicians, and regulatory professionals to access critical insights from vast and complex pharmaceutical data. You will lead by example, mentoring engineers, setting technical standards, and driving the vision for our next-generation search capabilities. Roles & Responsibilities Architectural Leadership: Design and build robust, scalable, and intelligent search infrastructure using technologies like Elasticsearch, OpenSearch, Solr , or vector-based search . You will assess the current systems architecture, define the future state of technology, and set best practices and coding standards. Mentorship & Team Leadership: Lead and motivate a team of engineers, providing technical guidance and mentorship to junior, mid-level, and senior developers. You will champion architecture decisions and conduct code reviews to ensure quality and best practices are met. Product & Project Ownership: Take ownership of complex software projects from conception to deployment, managing scope, risk, and timelines. You will work closely with product teams, business stakeholders, and project management teams, acting as a bridge between them. Innovation & Development: Participate in both front-end and back-end development using cloud technology. You will develop innovative solutions using generative AI technologies and have a current understanding of best practices regarding system security measures. Documentation & Problem Solving: Create and maintain documentation on software architecture, design, and deployment. You will identify and resolve technical challenges, as well as inform stakeholders about any problems with current solutions. Technical Skills Extensive experience in designing and building robust, scalable, and intelligent search infrastructure using Elasticsearch, OpenSearch, Solr , or vector-based search technologies. Hands-on experience with various cloud services and an understanding of cloud design principles ( AWS preferred). Hands-on experience with Full Stack software development , with proficiency in languages like React Framework Redux, RESTful API Development, Swagger/OpenAPI, TypeScript, Python, JavaScript, and SQL/NoSQL . Expertise in software architecture, system design, and software engineering principles ( SOLID, DRY, KISS ). Experience with API integration, serverless, and microservices architecture . Experience with DevOps CI/CD build and deployment pipelines. Experience with Fast Python's API . Experience with Postgres SQL/Mongo DB, vector databases , and platforms like Databricks or RDS . Experience with Agile software development methodologies. Willingness to work on AI applications, with experience in popular large language models and frameworks like Langchain or llamaIndex is a plus. Cloud Computing certification is preferred. Qualifications A Master's degree in Computer Science & Engineering (preferred) with 12-15 years of software development experience or a Bachelor's degree with 11-15 years of experience. Soft Skills Leadership: The ability to provide technical guidance, mentor teams, and influence key stakeholders. Problem-Solving: Excellent analytical and troubleshooting skills, with a strong foundation in data structures and algorithms. Communication: Strong verbal and written communication skills, with the ability to present effectively and inform stakeholders. Strategic Thinking: The ability to contribute to the overall strategic direction of the software development process. Proactiveness: A high degree of initiative and self-motivation, with the ability to continually research and propose new technologies.

We are seeking a visionary and technically exceptional Principal Software Engineer - Search to lead the design and development of enterprise-wide intelligent search solutions. In this high-impact role, you will architect and scale AI -enhanced search platforms that enable scientists, clinicians, and regulatory professionals to access critical insights from vast and complex pharmaceutical data. You will lead by example, mentoring engineers, setting technical standards, and driving the vision for our next-generation search capabilities. Roles & Responsibilities Architectural Leadership: Design and build robust, scalable, and intelligent search infrastructure using technologies like Elasticsearch, OpenSearch, Solr , or vector-based search . You will assess the current systems architecture, define the future state of technology, and set best practices and coding standards. Mentorship & Team Leadership: Lead and motivate a team of engineers, providing technical guidance and mentorship to junior, mid-level, and senior developers. You will champion architecture decisions and conduct code reviews to ensure quality and best practices are met. Product & Project Ownership: Take ownership of complex software projects from conception to deployment, managing scope, risk, and timelines. You will work closely with product teams, business stakeholders, and project management teams, acting as a bridge between them. Innovation & Development: Participate in both front-end and back-end development using cloud technology. You will develop innovative solutions using generative AI technologies and have a current understanding of best practices regarding system security measures. Documentation & Problem Solving: Create and maintain documentation on software architecture, design, and deployment. You will identify and resolve technical challenges, as well as inform stakeholders about any problems with current solutions. Technical Skills Extensive experience in designing and building robust, scalable, and intelligent search infrastructure using Elasticsearch, OpenSearch, Solr , or vector-based search technologies. Hands-on experience with various cloud services and an understanding of cloud design principles ( AWS preferred). Hands-on experience with Full Stack software development , with proficiency in languages like React Framework Redux, RESTful API Development, Swagger/OpenAPI, TypeScript, Python, JavaScript, and SQL/NoSQL . Expertise in software architecture, system design, and software engineering principles ( SOLID, DRY, KISS ). Experience with API integration, serverless, and microservices architecture . Experience with DevOps CI/CD build and deployment pipelines. Experience with Fast Python's API . Experience with Postgres SQL/Mongo DB, vector databases , and platforms like Databricks or RDS . Experience with Agile software development methodologies. Willingness to work on AI applications, with experience in popular large language models and frameworks like Langchain or llamaIndex is a plus. Cloud Computing certification is preferred. Qualifications A Master's degree in Computer Science & Engineering (preferred) with 12-15 years of software development experience or a Bachelor's degree with 11-15 years of experience. Soft Skills Leadership: The ability to provide technical guidance, mentor teams, and influence key stakeholders. Problem-Solving: Excellent analytical and troubleshooting skills, with a strong foundation in data structures and algorithms. Communication: Strong verbal and written communication skills, with the ability to present effectively and inform stakeholders. Strategic Thinking: The ability to contribute to the overall strategic direction of the software development process. Proactiveness: A high degree of initiative and self-motivation, with the ability to continually research and propose new technologies.

In this vital role, you will play a pivotal part in shaping our technology strategy and mentoring a team of dedicated engineers. We are seeking a seasoned Full Stack Software Engineer Lead to spearhead the development and delivery of innovative software solutions. The ideal candidate will possess a strong blend of technical expertise, leadership skills, and a passion for building high-quality products. You will be responsible for defining and implementing robust software architectures on the cloud, leveraging cutting-edge technologies, including generative AI . Roles & Responsibilities Technical Leadership & Mentorship: Provide technical guidance and mentorship to the development team, fostering a culture of excellence and continuous learning. Project Ownership: Take ownership of complex software projects from conception to deployment, managing software delivery scope, risk, and timelines. Full-Stack Development: Contribute to both front-end and back-end development using cloud technology. You'll possess strong rapid prototyping skills, quickly translating concepts into working code. Architecture & Innovation: Define and implement robust software architectures on the cloud (AWS preferred). You'll develop innovative solutions using generative AI technologies . Code Quality & Documentation: Conduct code reviews to ensure code quality and adherence to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Problem Solving & Collaboration: Identify and resolve technical challenges effectively. Work closely with product, business, and other key partners. Technical Skills Hands-on experience with various cloud services and a strong understanding of well-architected cloud design principles. Hands-on experience with Full Stack software development . Proficiency in programming languages such as Python (preferred), JavaScript , and SQL/NoSQL . Experience with API integration, serverless, and microservices architecture . Experience with SQL/NoSQL databases and vector databases for large language models. Experience with popular large language models and frameworks like Langchain or llamaIndex . Experience with prompt engineering and model fine-tuning . Experience with Web site development and understanding of web site localization processes. Experience with DevOps/MLOps CI/CD build and deployment pipeline. Experience with design patterns, data structures, and test-driven development. Knowledge of NLP techniques for text analysis and sentiment analysis. Cloud Computing certification is preferred. Qualifications A Master's degree in Computer Science and Engineering (preferred) or another Engineering field with relevant software development experience, or a Bachelor's degree in Computer Science and Engineering (preferred) or another Engineering field with extensive software development experience. Proven ability to lead and mentor software development teams. Soft Skills Problem-Solving: Strong analytical and problem-solving skills, with excellent troubleshooting abilities. Communication: Excellent communication and interpersonal skills, both verbal and written, with strong presentation and public speaking skills. Proactiveness: High degree of initiative and self-motivation, with the ability to learn quickly and manage multiple priorities successfully. Collaboration: Team-oriented, with a focus on achieving team goals and the ability to work effectively with global, virtual teams.

We are seeking a highly skilled Senior UI Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining user interfaces for complex software applications, with a focus on our Web-based Enterprise Sensing Capability. This role is crucial for creating high-quality, scalable, and intuitive user experiences. You will lead UI development, mentor junior developers, and collaborate closely with product managers and designers to translate mockups into interactive and visually appealing interfaces. Roles & Responsibilities UI Development Leadership: Lead UI development for various components of our Web-based Enterprise Sensing Capability. Take ownership of complex software projects from conception to deployment, managing scope, risk, and timelines. Rapid Prototyping & Mentorship: Possess strong rapid prototyping skills to quickly translate concepts into working code. Provide technical guidance and mentorship to junior developers and conduct code reviews to ensure quality and best practices. Front-End & Innovation: Contribute to front-end development using cloud technology. Develop innovative solutions using Generative AI technologies to enhance user experiences. Design & Implementation: Design, develop, and implement intuitive and responsive user interfaces and modules, including custom reports, interfaces, and enhancements. Collaborate with UX designers to translate mockups into interactive and visually appealing UIs. Testing & Optimization: Develop and execute unit tests, integration tests, and other testing strategies. Identify and resolve software bugs and performance issues. Optimize UI performance by identifying and addressing bottlenecks, ensuring smooth and fast interactions. Documentation & Collaboration: Create and maintain detailed documentation on software architecture, design, and operations. Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time. Accessibility & Agile: Ensure accessibility standards are met, making the UI usable for people with disabilities. Participate in Agile ceremonies (Daily Scrum/Refinement/Retro) to partner with the product owner and team to discuss, set, and deliver developmental goals. Qualifications A Doctorate degree, or a Master's degree with relevant experience, or a Bachelor's degree with extensive experience, or a Diploma with a substantial background in Computer Science, IT, or a related field. Strong knowledge of information systems and network technologies. Proficiency in programming languages such as JavaScript (preferred), HTML/CSS . Strong understanding of software development methodologies, including Agile and Scrum . Experience with version control systems like Git . Experience with front-end frameworks such as React.js or Angular.js . Knowledge of UI/UX best practices and design patterns. Experience with responsive and adaptive design principles . Experience with UI testing frameworks such as Jest, Enzyme, or Cypress. Relevant certifications such as CISSP or MCSE are preferred. Work Hours This position requires you to work a later shift and may be assigned a second or third shift schedule, including evenings or nights, as required based on business needs. Soft Skills Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals.

Key Deliverables Lead R&D initiatives in generative AI and novel model development. Collaborate with engineering and product teams to embed AI into products. Publish impactful research and drive academic engagement. Mentor research staff and cultivate a strong innovation culture. Role Responsibilities Architect and implement next-gen generative models (LLMs, diffusion, etc). Stay ahead of AI advancements and propose innovation opportunities. Translate cutting-edge research into scalable applications. Drive efficiency in LLM operations and model inference at scale.

What You Will Be Doing- Work with a talented team of data scientists, software developers and product owners to identify possible applications for AI and machine learning. Understand Cvent's product lines, their business models and the data collected. Perform machine learning research on various types of data ( numeric, text, audio, video, image). Deliver machine learning models in a state that can be picked up by a software development team and operationalized via Cvent's products. Thoroughly document your work as well as results, to the extent that another data scientist can replicate them. Progressively enhance your skills in machine learning, writing production-quality Python code, and communication. What You Need for this Position: A bachelor's degree in a quantitative field (natural sciences, math, statistics, computer science). 4 - 7 years of experience working as a data scientist in industry. In-depth familiarity with the Linux operating system and command-line work. Conceptual and technical understanding of machine learning, including model training and evaluation. Experience with formal Python coding. Proficiency in machine learning packages in Python. Experience with relational databases and query-writing in SQL. Knowledge of linear algebra and statistics. Skills in data exploration and interpretation. Strong verbal and written communication. It will be excellent if you also have: A master's or PhD degree in a quantitative field. Familiarity with Generative AI. Experience with Databricks and/or Snowflake platforms. Ability to write production-quality Python code with testing coverage. Experience working on a cloud platform (AWS/Azure/Google Cloud), especially machine learning R&D on a cloud platform. Knowledge of the software development lifecycle, including Git processes, code reviews, test- driven development and CI/CD. Experience with A/B testing. Skills in data visualization and dashboarding. Knowledge of how to interact with a REST API. Proven ability for proactive, independent work with some supervision.

Job description About the role: Looking for an experienced Gen AI Engineer (7-8 years) with strong expertise in Python, SQL, and Tableau to support our Sales & Marketing teams. The ideal candidate will have a proven ability to leverage and build AI-driven data models for research and structured database prompts, driving business insights and efficiency. In This Role, you will: Develop AI-powered analytics models to extract insights using research structured as well as non-structured databases for Sales & Marketing. Build predictive models and automation solutions to enhance lead generation, pipeline forecasting, and campaign effectiveness. Design and optimize SQL queries for data extraction, transformation, and reporting. Create interactive dashboards and reports in Tableau to support decision-making. Collaborate with stakeholders across Sales, Marketing, and Business Analytics to translate business needs into data-driven solutions. Implement AI-driven research methodologies to enhance data exploration and prompt-based insights. Ensure data accuracy, governance, and efficiency in analytics workflows. Here's What You Need: 7-9 years of experience in Business Analytics & Gen AI. Proficiency in Python (including AI & Data Analytics libraries). Strong SQL skills for data extraction and transformation across large datasets. Hands-on experience with Tableau for reporting and visualization. Experience in building and optimizing Gen AI models for business analytics. Ability to work with structured databases and AI-driven prompt generation for research. Strong analytical mindset with problem-solving abilities. Experience in a SaaS environment supporting Sales & Marketing is a plus.