1417 Generative Ai Jobs - Page 2

We are Brainlabs, the High-Performance media agency, on a mission to become the world&aposs biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And whats our formula Superteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. Its a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Full time Team: Data Science Practice Reporting to: Head of Data Services Location: Bengaluru (Hybrid model of working) Experience Range - 13-15 Years Of Experience. As a Director, Data Science youll execute data science initiatives, influence senior leadership and shape the data science roadmap for the organization. The ideal candidate will have extensive experience in statistical modeling, machine learning, Generative AI, MLOps, and cloud-based solutions, along with a track record of leading large-scale projects, mentoring high-performing teams, and deploying models into production. What you do: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development: Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation: Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Who You Are Experienced: A visionary leader with 13-15 years in Data Science projects, 4+ years in Marketing Analytics Educated: Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack How You Succeed Culture: You will live our culture code every day! Client Success: Client satisfaction targets being met (internal & external) Deliver Business Impact: Translate complex analytical challenges into actionable solutions that drive measurable outcomes and revenue growth. Lead & Influence: Effectively lead interdisciplinary teams, provide thought leadership, and collaborate with various stakeholders. Lead with Innovation: Stay ahead of trends in Agentic AI, AI safety, regulatory frameworks etc. ,to maintain a competitive edge. Quality: Ensure quality across the deliverables Process Adherence: Enforce compliance with standard operating procedures, best practices, and organizational guidelines. Business Growth: Identify opportunities to expand existing accounts and develop new business by understanding client needs, proposing value-driven solutions, and fostering long-term relationships. Brainlabs delivers high performance for our clients and ourselves. We do that through our high-performance culture. That means each and every one of us has very clear goals every year which are the focus for our own contribution, growth and coaching. Practice Efficiency Working effectively to manage your own time in accordance with client requirements Client Client satisfaction One client case study produced to show the impact of your work on growing client business Practice Growth Learning certification/hours met Actively contributing ideas and innovations to the wider practice Technology & QA Adoption target of 100% met 95% QA metric hit Process automation Live our Culture Code Give 5 meaningful pieces of feedback each month Receive 360 positive feedback on how you live our Culture Code Grow Knowledge Complete Brainlabs Data Science Advanced Certification Brainlabs Internal Mentor accreditation (Optional) What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area. Show more Show less

We are searching for a Senior Software Engineer in AI who possesses more than 3 years of practical experience in Artificial Intelligence and Machine Learning and has a strong enthusiasm for innovation. This position is perfect for an individual who excels in a startup setting that is fast-paced, product-oriented, and filled with opportunities to create a meaningful difference. Your main responsibility will be to contribute to the development of intelligent, scalable, and production-ready AI systems, with a particular emphasis on Generative AI and Agentic AI technologies. Key Responsibilities: - Developing and implementing AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs). - Designing and executing Agentic AI systems that consist of autonomous agents capable of planning and executing multi-step tasks. - Collaborating with various teams such as product, design, and engineering to seamlessly integrate AI capabilities into products. - Crafting clean, scalable code and establishing robust APIs and services to facilitate the deployment of AI models. - Taking charge of feature delivery from start to finish, including research, experimentation, deployment, and monitoring. - Keeping abreast of the latest AI frameworks, tools, and best practices and leveraging them in product development. - Contributing to a culture of high performance within the team and providing mentorship to junior team members when necessary. Required Skills: - A total of 6 years of software development experience, with at least 3 years dedicated to AI/ML engineering. - Proficiency in Python, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). - Demonstrated expertise in working with LLMs (e.g., GPT, Claude, Mistral) and various Generative AI models (text, image, or audio). - Practical knowledge of Agentic AI frameworks such as LangChain, AutoGPT, and Semantic Kernel. - Experience in constructing and deploying ML models in production environments. - Familiarity with vector databases like Pinecone, Weaviate, FAISS, and prompt engineering concepts. - Comfortable operating in a startup-like atmosphere - self-driven, adaptable, and eager to take on responsibilities. - Sound understanding of API development, version control, and contemporary DevOps/MLOps procedures. This is a permanent position that requires in-person work.,

You will be responsible for leading the AI team in developing and deploying cutting-edge AI models. This will involve defining the AI strategy in alignment with the company's goals, overseeing the end-to-end AI project life cycle, and collaborating with stakeholders to identify opportunities for AI-driven solutions. It is crucial to ensure the ethical and responsible use of AI technologies and stay updated with the latest advancements in the field. Additionally, providing mentorship and guidance to team members, managing the team's resources, budget, and timelines, and communicating project progress to executive leadership will be key responsibilities. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 3 years of experience in AI, machine learning, and data science. Proficiency in NLP, Generative AI, Transformer models, and experience in training, fine-tuning, and optimizing AI models are essential. A strong understanding of machine learning algorithms, neural networks, and NLP, as well as familiarity with AI development frameworks and tools like TensorFlow, PyTorch, and Scikit learn, is required. Ability to deploy AI models in cloud-based and edge environments, proficiency in programming languages such as Python, R, or Java, and excellent problem-solving skills are also necessary. Strong communication and interpersonal skills are vital for this role. Preferred skills for this position include familiarity with NLP, computer vision, and experience with big data technologies like Spark and Hadoop. The ability to translate business needs into technical requirements and an understanding of ISO standards are desirable. Location: Mohali Equal Employment Opportunity:,

As a Senior Systems Software Engineer at WinAI, you will play a crucial role in solving client-side AI challenges on Windows PCs with limited resources. You will be partnering with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for encouraging the ecosystem of AI on Windows RTX PCs. Collaboration with Microsoft will be essential to advance AI across critical domains such as graphics, web browsers, and edge devices by driving innovation in technologies like WindowsML, ONNX Runtime, and NVIDIA's proprietary libraries and driver stack. Your responsibilities will include improving performance on current and next-generation GPU architectures through in-depth analysis and optimization of AI models, data processing pipelines, and inference runtime features. You will also be identifying, evaluating, and implementing compute and memory optimization techniques for large AI models, such as quantization, distillation, and pruning, to fine-tune and compress models to fit edge devices. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field, or possess equivalent experience. Proficiency in C++ programming and debugging, along with a strong understanding of data structures and algorithms, is required. You should have at least 5 years of experience in AI inferencing pipelines and applications using ML/DL frameworks like ONNX RT, DirectML, PyTorch, and Tensor RT. Strong analytical and problem-solving abilities are essential, along with effective multitasking skills in a dynamic environment. Excellent written and oral communication skills are also necessary for successful collaboration with management and engineering teams. To stand out from the crowd, having an understanding of modern techniques in Machine Learning, Deep Neural Networks, and Generative AI, with relevant contributions to major open-source projects, will be advantageous. A consistent track record of delivering end-to-end products with geographically distributed teams in multinational product companies will also be a plus. Proficiency in lower-level system/GPU programming, CUDA, and developing high-performance systems, as well as hands-on experience with building applications using APIs like ONNX RT, DirectML, DirectX, PyTorch, TensorRT, and Vulkan, are highly desirable. At WinAI, we are committed to innovation and growth, offering competitive salaries and a generous benefits package. As an equal-opportunity employer, we value diversity within our company. If you are a creative and autonomous engineer with a genuine passion for technology, we welcome you to join our exclusive engineering teams that are experiencing unprecedented growth.,

As a Senior Business Analyst specializing in Data and Insight at Innover Digital, you will be a key member of our team dedicated to utilizing data and artificial intelligence to drive business success. With a focus on Generative AI and its applications across various industries, you will play a crucial role in bridging the gap between technology and business processes to create value for our clients. Your main responsibilities will include collaborating with stakeholders such as business leaders, data scientists, and software developers to identify and define business requirements and objectives related to Data, AI, and GenAI projects. Acting as a liaison between technical and non-technical teams, you will translate complex business processes and requirements into clear, actionable tasks. Additionally, you will participate in the planning, scoping, and prioritization of projects to ensure alignment with organizational goals and strategies. Moreover, you will be responsible for developing detailed business requirements documents, use cases, and user stories to support the development of software tools and applications. Working closely with data scientists and AI developers, you will ensure that AI models and solutions meet client needs and business objectives. You will also facilitate the testing and validation of applications to ensure that they deliver expected outcomes. Furthermore, you will collaborate on the development and documentation of standard operating procedures (SOPs) for processes and workflows to promote efficiency and consistency. It is essential to stay informed about advances in the field of data, AI, and supply chain management to provide insights on potential improvements and new opportunities for innovation. To be successful in this role, you should have at least 3 years of experience as a Business Analyst in data-driven environments. A Bachelor's degree in Engineering along with an MBA from a top-tier institution is required. Strong analytical skills, proficiency in data analysis and interpretation, excellent communication and collaboration skills, and the ability to bridge technical and non-technical teams effectively are crucial for this position. Additionally, knowledge of AI and machine learning concepts, with a focus on Generative AI applications, familiarity with data analysis and visualization tools, understanding of supply chain processes and challenges, and the ability to work independently and as part of a team in a fast-paced environment are necessary. Strong project management and organizational skills are also important for this role.,

The candidate will support Colgate Business teams and CBS Analytics by exploring and finding opportunities for building use cases using Prompt Engineering. The role requires a person to have an understanding of Artificial Intelligence, Machine Learning and Generative AI. The Person should be Analytical problem solver with the ability to work on large data sets, collaborative and customer focused (proactive and Responsive to Business needs) and Effective in Written and verbal communication skills. Main Responsibilities: Design, develop and refine AI-generated text prompts for various applications Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs Monitor and analyze prompt performance to identify areas for improvement Optimize AI prompt generation process to enhance overall system performance Stay up-to-date on the latest advancements in AI, natural language processing and machine learning Provide support to teams in understanding prompt engineering best practices Required Qualifications:(Education, Knowledge required,Skills): Bachelor of Engineering/Sciences , MBA 1 years of experience in programming languages, AI-related tools such as ChatGPT, and data analysis techniques Comprehensive understanding of natural language processing, machine learning and AI-generated content development Knowledge of Data Transformation tools - R/Python/ SQL/Cloud solutions ( GCP ) Working knowledge of visualization tools like Tableau, DOMO, Data studio Ability to Read , Analyze and Visualize data Effective Verbal & Written Communication for Business engagement. Preferred Qualifications: Excellent problem-solving and analytical skills Ability to collaborate effectively with cross-functional teams Working knowledge of consumer packaged goods industry Understanding of Colgate s processes, and tools supporting analytics (for internal candidates) Willingness and ability to experiment with new tools and techniques Good facilitation and project management skills

As an Associate Software Engineer specializing in Biological Studies ( In Vitro ), you will design, develop, and maintain software solutions for research scientists. You will be a key part of a multi-functional team that leverages technology and data to evaluate drug candidates and assess their biological impact. This team is responsible for implementing scientific software platforms that enable the capture, analysis, and reporting of in vitro assays. The ideal candidate will have strong technical skills and full-stack software engineering experience, with a background in the pharmaceutical or biotech industry. Roles & Responsibilities Software Development: Design, develop, and implement applications, custom reports, and enhancements. You will analyze functional and technical requirements and translate them into software architecture and design specifications. Full-Stack Development: Contribute to both front-end and back-end development using cloud technology. You will also work on integrating with other systems and platforms to ensure seamless data flow and functionality. Quality Assurance: Develop and implement unit tests, integration tests, and other testing strategies to ensure software quality. You will be responsible for identifying and resolving software bugs and performance issues. Collaboration & Innovation: Work closely with the product team, scientists, and other stakeholders to deliver high-quality software on time. You will also have the opportunity to develop innovative solutions using generative AI technologies. System Maintenance: Provide ongoing support and maintenance for applications, ensuring they operate smoothly and efficiently. This includes automating operations, monitoring system health, and responding to incidents to minimize downtime. Qualifications A Bachelor's degree with 1-3 years of experience or a Diploma with 4-6 years of experience in Computer Science, IT, Computational Chemistry, or a related field. Proficiency in a high-level programming language such as Python, Java , or C#.NET . Proficiency in a JavaScript UI Framework like React or ExtJs . Proficiency in SQL ( Oracle, PostGres, Databricks ). Experience with event-based architecture ( Mulesoft, AWS EventBridge, Kafka ). A strong understanding of software development methodologies, especially Agile and Scrum . AWS Certified Cloud Practitioner is preferred. Soft Skills Problem-Solving: Excellent problem-solving, analytical, and troubleshooting skills. Communication: Strong communication and interpersonal skills, with the ability to work effectively with global, virtual teams. Initiative: A high degree of initiative and self-motivation, with the ability to learn quickly and work independently. Teamwork: Team-oriented, with a focus on achieving team goals and managing multiple priorities successfully.

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.,