633 Gen Ai Jobs - Page 21

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Experience Required: Overall 3+ years of experience 3 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate)

Role & responsibilities: Overall Experience : 10+ years of experience in the field of AI and ML ( Machine Learning ) Experience : 2 Years of relevant experience and previous work in any related AI is a plus ] Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph* ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol )* Agentic AI* LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy* Deploying Models on-prem and on the cloud

Skill Needed Job: Define the Agentic Function for Industrial Quality Inspection Workflow design Bring up the LLM and AI baseline framework -open source (Llava) Visual inspection -Customization for specific environment Descriptive outcome-Prompt Engineering for visual inspection UC Third party/Defect Evaluation Sensors Integration Skills Gen AI/ML, LLM Model Training and Fine-Tuning Fine-Tuning . RAG implementation, dataset curation, customization Develop Gen AI Use cases using models using GCP/AWS/Azure as well as Private Server/Edge AI tools/frameworks (e,g NVIDIA tool/libraries) ML Engineering Tensor Flow, PyTorch NLP/Neural Networks/Python etc Familiarity with AWS, Azure or Google Cloud Platform Software Development Methodologiese & responsibilities We would like to have below details and your updated CV to process ahead with screening and technical discussions. Interview Mode: Virtual(Teams video conference) Location- Noida /Chennai/Bangalore Candidate Name Notice Period/LWD Experience Preferred Current CTC Expected CTC DOB Offer Holding from other Org with CTC details.- Email id Contact No

Job Summary: We are looking for a Senior Software Developer with expertise in modern front-end technologies to design and build scalable front-end solutions. The ideal candidate should have a strong grasp of UI development, performance optimization, and best practices in component-based architecture. Responsibilities: Develop and maintain front-end applications using React.js, Vite.js, TypeScript, and UI libraries. Implement efficient API integrations and optimize performance. Collaborate with backend developers to ensure seamless communication between UI and APIs. Write clean, maintainable, and reusable code following best practices. Optimize applications for speed, scalability, and cross-browser compatibility. Participate in code reviews, debugging, and troubleshooting issues. Stay updated with the latest trends in UI/UX and front-end technologies. Work with GitHub Copilot, ChatGPT, and VS Code for efficient development. Must Have: 5+ years of experience in front-end development. Proficiency in React.js, Vite.js, TypeScript , and UI libraries (MUI, Ant Design, etc.). Experience integrating RESTful and GraphQL APIs. Strong knowledge of state management (Redux, Zustand, React Context API). Good understanding of front-end security best practices. Good to Have: Familiarity with backend technologies such as .NET, C#, Python . Exposure to GenAI technologies. Experience working with GitHub Copilot, ChatGPT, and VS Code . Strong problem-solving skills and ability to work independently.

Job Overview: We are seeking an accomplished Generative AI candidate to spearhead the development, implementation, and optimization of Generative AI solutions. Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. LLM Pipeline Creation: Strong experience in designing data pipelines, including data preprocessing, feature extraction, and model integration. Familiarity with best practices for creating efficient and scalable pipelines. Secondary Skill Set: Software Development: Proficiency in software development practices, version control systems (e.g., Git), and collaborative coding environments. Understanding of agile methodologies is advantageous. Testing and Deployment: Familiarity with testing methodologies for AI models, including unit testing, integration testing, and model validation. Experience in deploying models to production environments. Workflow Optimization: Knowledge of workflow optimization techniques and tools to enhance development speed and efficiency. Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles. Responsibilities: Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

Job Overview: We are seeking an accomplished Generative AI Technical Lead to spearhead the development, implementation, and optimization of Generative AI solutions. As the Lead Developer, you will play a pivotal role in prompt engineering, pipeline creation, workflow establishment, and ensuring the quality of the technical outputs generated by the team. This role requires strong technical expertise in Generative AI, hands-on experience in development, and the ability to lead and guide a team Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. LLM Pipeline Creation: Strong experience in designing data pipelines, including data preprocessing, feature extraction, and model integration. Familiarity with best practices for creating efficient and scalable pipelines . Leadership Skills: Proven leadership capabilities to guide and mentor a team of developers. Ability to provide technical direction, solve challenges, and inspire innovation within the team. Secondary Skill SetSoftware Development: Proficiency in software development practices, version control systems (e.g., Git), and collaborative coding environments. Understanding of agile methodologies is advantageous. Testing and Deployment: Familiarity with testing methodologies for AI models, including unit testing, integration testing, and model validation. Experience in deploying models to production environments. Workflow Optimization: Knowledge of workflow optimization techniques and tools to enhance development speed and efficiency. Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles. Responsibilities: Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

Job Summary: We are seeking a highly skilled and experienced Senior Gen AI Candidates to lead our Generative AI Technologies team. The ideal candidate will have a deep understanding of Generative AI, machine learning, and related technologies, along with a proven track record of architecting and implementing innovative solutions. You will play a pivotal role in shaping our Generative AI strategy, selecting appropriate models and technologies, and collaborating with cross-functional teams to deliver cutting-edge solutions that meet customer requirements and business objectives. Primary Skill Set: Generative AI Expertise: In-depth knowledge of various Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. Experience with both image and text generation is essential. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively. Technical Proficiency: Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools. Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is advantageous. Architecture Design: Ability to design end-to-end Generative AI architectures that encompass data preprocessing, model selection, training pipelines, and deployment strategies. Strong grasp of scalable, reliable, and efficient system design. Secondary Skill Set: Domain Knowledge: Familiarity with the specific industry domain or vertical in which the Generative AI solutions will be applied (e.g., healthcare, finance, entertainment) is beneficial. This enables contextual understanding and tailored solution development. Data Engineering: Understanding of data engineering practices, data pipelines, and data management. Proficiency in data preprocessing, cleansing, and transformation for effective model training. Communication Skills: Excellent communication and collaboration skills to effectively interface with cross-functional teams, including data scientists, engineers, business stakeholders, and customers. Ability to convey complex technical concepts to non-technical stakeholders. Roles & Responsibilities: Generative AI Strategy: Lead the development of the Generative AI technology roadmap, identifying opportunities, evaluating potential use cases, and proposing innovative solutions that align with business goals. Model Selection: Evaluate and select appropriate Generative AI models and techniques based on the specific requirements of each project. Consider factors such as data availability, complexity, and computational resources. Architectural Design: Design comprehensive and scalable architectures for Generative AI solutions, considering components such as data preprocessing, model training, deployment, and monitoring. Solution Implementation: Collaborate with data scientists and engineers to implement Generative AI solutions, ensuring the seamless integration of models into production environments. Performance Optimization: Continuously optimize the performance of Generative AI models, addressing issues related to speed, accuracy, and resource utilization. Outcome Review: Assess the outcomes of Generative AI solutions against predefined success criteria. Iterate on models and strategies based on performance metrics and feedback. Customer Collaboration: Work closely with customer architecture and business teams to define solution requirements, technical boundaries, and SLAs. Tailor solutions to meet customer needs and address specific challenges. Team Collaboration: Collaborate effectively with cross-functional teams, providing guidance and mentorship to junior team members. Foster a collaborative and innovative work environment. Industry Awareness: Stay updated with the latest advancements in Generative AI and related technologies. Share insights with the team and incorporate emerging trends into solution design.

Job Summary: We are seeking a highly skilled and experienced Senior Gen AI Candidates to lead our Generative AI Technologies team. The ideal candidate will have a deep understanding of Generative AI, machine learning, and related technologies, along with a proven track record of architecting and implementing innovative solutions. You will play a pivotal role in shaping our Generative AI strategy, selecting appropriate models and technologies, and collaborating with cross-functional teams to deliver cutting-edge solutions that meet customer requirements and business objectives. Primary Skill Set: Generative AI Expertise: In-depth knowledge of various Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. Experience with both image and text generation is essential. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively. Technical Proficiency: Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools. Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is advantageous. Architecture Design: Ability to design end-to-end Generative AI architectures that encompass data preprocessing, model selection, training pipelines, and deployment strategies. Strong grasp of scalable, reliable, and efficient system design. Secondary Skill Set: Domain Knowledge: Familiarity with the specific industry domain or vertical in which the Generative AI solutions will be applied (e.g., healthcare, finance, entertainment) is beneficial. This enables contextual understanding and tailored solution development. Data Engineering: Understanding of data engineering practices, data pipelines, and data management. Proficiency in data preprocessing, cleansing, and transformation for effective model training. Communication Skills: Excellent communication and collaboration skills to effectively interface with cross-functional teams, including data scientists, engineers, business stakeholders, and customers. Ability to convey complex technical concepts to non-technical stakeholders. Roles & Responsibilities: Generative AI Strategy: Lead the development of the Generative AI technology roadmap, identifying opportunities, evaluating potential use cases, and proposing innovative solutions that align with business goals. Model Selection: Evaluate and select appropriate Generative AI models and techniques based on the specific requirements of each project. Consider factors such as data availability, complexity, and computational resources. Architectural Design: Design comprehensive and scalable architectures for Generative AI solutions, considering components such as data preprocessing, model training, deployment, and monitoring. Solution Implementation: Collaborate with data scientists and engineers to implement Generative AI solutions, ensuring the seamless integration of models into production environments. Performance Optimization: Continuously optimize the performance of Generative AI models, addressing issues related to speed, accuracy, and resource utilization. Outcome Review: Assess the outcomes of Generative AI solutions against predefined success criteria. Iterate on models and strategies based on performance metrics and feedback. Customer Collaboration: Work closely with customer architecture and business teams to define solution requirements, technical boundaries, and SLAs. Tailor solutions to meet customer needs and address specific challenges. Team Collaboration: Collaborate effectively with cross-functional teams, providing guidance and mentorship to junior team members. Foster a collaborative and innovative work environment. Industry Awareness: Stay updated with the latest advancements in Generative AI and related technologies. Share insights with the team and incorporate emerging trends into solution design.

Job Overview: We are seeking an accomplished Generative AI candidate to spearhead the development, implementation, and optimization of Generative AI solutions. Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. LLM Pipeline Creation: Strong experience in designing data pipelines, including data preprocessing, feature extraction, and model integration. Familiarity with best practices for creating efficient and scalable pipelines. Secondary Skill Set: Software Development: Proficiency in software development practices, version control systems (e.g., Git), and collaborative coding environments. Understanding of agile methodologies is advantageous. Testing and Deployment: Familiarity with testing methodologies for AI models, including unit testing, integration testing, and model validation. Experience in deploying models to production environments. Workflow Optimization: Knowledge of workflow optimization techniques and tools to enhance development speed and efficiency. Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles. Responsibilities: Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

Sills : Java, Springboot, Microservices, AWS, Angular/React, AI Exp : 8-12 yrs Location : Pune

Job Description Greetings from Fujitsu Research Lab (https://www.fujitsu.com/global/about/research/) About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsus products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researchers duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsus network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions.

Gainwell Technologies LLC Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. What you should expect in this role Fully Remote Opportunity Minimal Travel Required – Occasional travel opportunities (0-10%) Working hours 1:30 pm to 11 pm Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.

Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines

Gainwell Technologies LLC Summary We are seeking a highly skilled and forward-thinking GenAI Engineer to join our AI innovation team. This role is ideal for someone with deep technical expertise in Generative AI , a strong foundation in Python programming , and a passion for driving enterprise AI transformation . You will be instrumental in designing, developing, and deploying advanced Retrieval-Augmented Generation (RAG) systems . You’ll also play a pivotal role in enabling our internal workforce to embrace and adopt AI technologies. Your role in our mission Architect and implement scalable RAG systems using Python and modern GenAI tools. Build custom pipelines for document ingestion, chunking strategies, and embedding generation. Working knowledge in LlamaIndex is preferable. Have a deep knowledge in using AI augmented tools like GitHub Copilot. Experience in developing custom extensions Evaluate and implement different embedding models (OpenAI, Azure OpenAI, Cohere, etc.) and chunking strategies (fixed-size, semantic-aware, overlap-based). Create and optimize indexing strategies (vector, hybrid, keyword-based, hierarchical) for performance and accuracy. Work with Azure AI Services , particularly Azure Cognitive Search and OpenAI integration, to deploy end-to-end AI applications. Collaborate closely with cross-functional teams including data engineers, product managers, and domain experts. Conduct AI enablement sessions , workshops, and hands-on labs to upskill internal teams on GenAI usage and best practices. Participate in code reviews, contribute to best practices, and ensure the reliability, scalability, and maintainability of AI systems. What we're looking for 5+ years of experience in software engineering, with strong expertise in Python . Proven track record of building and deploying RAG-based GenAI solutions . Hands-on experience with LlamaIndex , LangChain , or equivalent frameworks. Familiarity with prompt engineering, prompt tuning, and managing custom Copilot extensions . Strong understanding of LLMs , vector databases (like FAISS, Pinecone, Azure Cognitive Search), and embedding techniques . Solid knowledge of Azure AI , cloud deployment, and enterprise integration strategies. Proficiency with version control and collaborative development using GitHub . What you should expect in this role Architect and implement scalable RAG systems using Python and modern GenAI tools. Build custom pipelines for document ingestion, chunking strategies, and embedding generation. Working knowledge in LlamaIndex is preferable. Have a deep knowledge in using AI augmented tools like GitHub Copilot. Experience in developing custom extensions Evaluate and implement different embedding models (OpenAI, Azure OpenAI, Cohere, etc.) and chunking strategies (fixed-size, semantic-aware, overlap-based). Create and optimize indexing strategies (vector, hybrid, keyword-based, hierarchical) for performance and accuracy. Work with Azure AI Services , particularly Azure Cognitive Search and OpenAI integration, to deploy end-to-end AI applications. Collaborate closely with cross-functional teams including data engineers, product managers, and domain experts. Conduct AI enablement sessions , workshops, and hands-on labs to upskill internal teams on GenAI usage and best practices. Participate in code reviews, contribute to best practices, and ensure the reliability, scalability, and maintainability of AI systems. Summary We are seeking a highly skilled and forward-thinking GenAI Engineer to join our AI innovation team. This role is ideal for someone with deep technical expertise in Generative AI , a strong foundation in Python programming , and a passion for driving enterprise AI transformation . You will be instrumental in designing, developing, and deploying advanced Retrieval-Augmented Generation (RAG) systems . You’ll also play a pivotal role in enabling our internal workforce to embrace and adopt AI technologies

Develop and maintain Python-based applications with a focus on AI, NLP, and LLM integration . Experience in coding with Generative AI and PYTHON. Strong proficiency in Python and experience with AI frameworks (e.g., TensorFlow, PyTorch). Hands-on experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers). Familiarity with building, fine-tuning, and deploying LLMs . Experience in developing conversational agents or chatbots. Knowledge of REST APIs and system integration. Understanding of cloud platforms like AWS, Azure, or GCP for deploying AI solutions .

Data Scientist/ GenAI LLM Engineer. Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information. As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients. Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies. Required Qualifications: Bachelors Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders. Desired Qualifications: M.sc. or Phd. in corresponding fields Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks Deep knowledge of a specific domain or industry, with a focus on NLP/LLM In depth understanding of Responsible AI standards and protocols Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development

Job Title: Generative AI Analyst Responsibilities: Large Language Model Data Evaluation & Narrations: Execute data evaluation, narration, and labeling tasks according to client requirements and guidelines with precision and attention to detail for AI model training Language Proficiency: Demonstrate a high level of English language proficiency (C1 level or above) in both written and verbal communication. C1 TOEFL or ielts CERTIFICATION OR Equivalent Adherence to Guidelines : Follow client-specific instructions and guidelines meticulously to produce consistently accurate annotations. Quality Assurance: Perform quality checks on annotated data to maintain high standards of accuracy and completeness. Communication: Collaborate effectively with team members and project managers to address queries and ensure smooth workflow. Feedback Integration: Actively participate in feedback sessions and incorporate constructive feedback into your work to improve annotation quality. Requirements: Language Skills: Proficiency in English at a C1 level or higher, both written and verbal. Attention to Detail: Strong attention to detail and ability to follow guidelines accurately. Adaptability: Ability to adapt to changing project requirements and priorities. Team Collaboration: Strong team collaboration and communication skills. Tech Savvy: Comfortable working with annotation tools and technology platforms.. Generative AI Understanding: Familiarity with generative AI concepts and a keen interest in contributing to the advancement of language generation technologies. Autonomous vehicle: (Good to have skills) Understanding of perception and prediction labeling work in AV domain is a plus.

GEN AI Consultant 4+Yrs(Hand on exp in GEN AI+ML) Upto 20L, BLR,Pune 7+Yrs(Hand on exp in GEN AI+ML) Upto 35L BLR,Pune,Chennai,Jaipur Skills:Gen AI,AI models,AI frameworks,Python,Any Cloud mansikohliimaginator@gmail.com Required Candidate profile Cloud platforms IBM Cloud, AZURE Cloud, Google Cloud, and AWS. Frameworks Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git),DevOps (CI/CD) Tools such as Prometheus, MLflow, Grafana.

Job Title - Brand & Creative Strategy Director | Manager | The Strategy & Consulting Global Network Song Practice Management Level : 7 Manager Location: Mumbai Must have skills: Branding, Marketing and Creative Project Management Good to have skills: Content Strategy, Measurement, Creative Strategy and Execution Job Summary :You will work closely with our clients and the Accenture Song team to lead and grow client accounts, ensuring exceptional client satisfaction and driving the overall strategic direction of campaigns. With 10-14 years of experience, you will oversee multiple accounts, managing both B2B and B2C clients while providing strategic direction to a team of account managers and executives. You will collaborate with creative, strategy, media, and production teams to deliver integrated and effective marketing solutions. Your role will involve overseeing the end-to-end campaign process"from conceptualization to execution"ensuring timely delivery within budget and to the highest standards. Additionally, you will play a key role in business development, identifying new opportunities and pitching to potential clients to drive growth. Strong leadership, communication, and relationship-building skills are essential for success in this role. Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consulting's Customer, Sales & Service practice. The Practice A Brief Sketch The practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales, and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. Your key responsibilities will include Oversee multiple client accounts, ensuring seamless execution of marketing campaigns across B2B and B2C markets. Lead a team of account managers and executives, providing strategic direction and ensuring projects are delivered on time, within budget, and to the highest standard. Develop and maintain strong client relationships, acting as a trusted advisor and driving long-term partnerships. Collaborate with creative, strategy, media, and production teams to deliver integrated and effective marketing solutions. Drive business development efforts by identifying new opportunities, pitching to potential clients, and expanding account portfolios. Manage project timelines, budgets, and deliverables, ensuring alignment with client objectives and brand strategy. Stay ahead of industry trends, emerging marketing technologies, and Gen AI tools to bring innovative solutions to client projects. Navigate challenges in a fast-paced environment, proactively identifying risks and ensuring smooth execution. Maintain quality control across all deliverables, ensuring alignment with brand standards and marketing best practices. Bring your best skills forward to excel at the role Account & Client Management | Marketing & Brand Strategy | Leadership & Team Development | Cross-functional Collaboration | Digital & Social Media Strategy | Business Development | Data-driven Decision Making | Budget & Resource Management | Strong Communication & Negotiation Skills Additional information: Work closely with leadership to drive strategic initiatives and contribute to thought leadership. Analyze industry insights, competitive trends, and consumer behavior to inform marketing strategies. Manage global and regional projects, coordinating with both offshore and onshore teams. Identify new growth opportunities, develop innovative solutions, and lead end-to-end proposal development. Cultivate a culture of collaboration and innovation, mentoring teams to deliver best-in-class marketing solutions. Read about us. Your experience counts! Strong portfolio or samples of work demonstrating strategic, end to end account management and key stakeholder management. In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment Experience in working with middle to senior management levels within existing organization / client organizations. Hands-on experience and understanding of relevant tools / platforms Strong verbal communication skills. Good research, organizational, and time-management skills. Strong presentation skills and knowledge of using AI and GenAI tools. Experience in working across multiple industries. Experience in setting up and growing teams to meet needs across skills, geographies and industries. What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world."For more information visit Song | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications Experience :10+ years of branding, overseeing end-to-end execution, social strategy or advertising experience in account management or related role with a major consulting firm or advertising agency or leading MNC. Educational Qualification: Bachelors or Masters Degree in Business or Marketing

The Strategy & Consulting Global Network Song Practice| Marketing Transformation | Life Science Marketing Senior Manager Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Strategy & Consulting Global Network Song I Areas of Work:Digital Marketing, Creative Strategy, Brand Strategy, Campaign Management, Next Best Action Marketing, Mar-Tech Strategy, Customer Experience & Journey Development | Level:Senior Manager| Location:Delhi, Mumbai, Bangalore, Gurgaon, Hyderabad | Years of Exp:8+ years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture's Strategy & Consulting Global Network Song practice. The Practice A Brief Sketch The Strategy & Consulting Global Network Song practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. The Life Sciences Marketing Senior Manager position is within the Marketing Transformation vertical of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) and would collaborate on innovative projects while bringing in deep industry knowledge and Marketing skills. The key responsibilities will include Strong project management skills to plan, execute, and deliver content initiatives successfully. This includes managing timelines, budgets, resources, and coordinating cross-functional teams. An analytical & data driven mindset to drive result-oriented decisions Exposure and experience in roles across the marketing value chain, primarily in the life sciences or allied industries as detailed out below. Consulting & Advisory service Market Research Analysis and assessment of the pharmaceutical market across disease areas and opportunity identification for new launches, indication expansions, identify emerging trends, competitive landscapes, and new opportunities within the life sciences sector. Competitor benchmarking, patient journey mapping, segmentation & targeting Digital Marketing Develop E2E strategy & campaigns: Liaise with key client stakeholders in the marketing teams to design strategies for omni-channel marketing campaigns. Lead development of content marketing, social media, and web engagement programs for the client, ensuring that they are aligned with the overall content strategy. In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Provide expertise on Content design and campaign execution: Able to provide a perspective on identification and selection of the right digital channels and content types based on campaign objectives. Able to understand client requirements based on their briefs & ideate to appropriate creative designs. Support end to end campaign execution and suggest ways for optimization. Marketing Technology Lead platform assessment and solution design : Understand the marketing value chain across process, technology & people. Conduct a thorough assessment, propose a solution along with an operating model & define KPIs for different marketing technologies Adobe / SF / Veeva. Have an understanding of the regulatory, compliance and governance landscape in the industry and build frameworks for scale up. MarTech Consulting Projects: Lead projects focusing on optimizing the MarTech stack and develop use cases to improve utilization of existing MarTech stack. Research, evaluate and recommend new martech systems and suppliers. Keep a holistic understanding of existing and upcoming martech platforms and how they connect into the broader marketing technology landscape. Tools & Platforms: Hands on experience on Mar-tech tools such as Adobe campaign, Marketo, Adobe, Cloud, Google Marketing platform, Google Ads, Pega decisioning, SFMC etc. Value realization : Crafting a value tree and developing business cases for implementation and scale up Gen AI Be aware of the latest AI developments in the Life Science industry and be able to co-create customized solutions for the client to meet their objectives. Have experience in CDP tools and platforms. Design and implement GenAI use cases Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive RFP/RFI response coming in from Life Science customers Practice Development Take on leadership role:Support overall growth of practice across all the pillars Marketing as well as sales, & service through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, Adobe, IQVIA etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Establish a strong network with key stakeholders in the Accenture ecosystem, across geographies to socialize and amplify the GN Song capabilities, operating model and ways of working to generate demand and meet the KPIs Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Read about us. Your experience counts! MBA from a tier 1 institute with preferably bachelor's degree in marketing, Journalism, Communications, or a related field Proven working experience (8+ years) in digital marketing/Advertising platforms and in delivering marketing solutions, particularly within the Life Sciences Industry In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Experience in working with middle to senior management levels within existing organization / client organizations Experience in working with Agencies or working in a Marketing agency for Life Sciences Clients Strong understanding of marketing, advertising technologies (with hands on) and ability to apply technology know-how to better how our clients reach out to their customers What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit Song | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . The Strategy & Consulting Global Network Song Practice| Marketing Transformation | Life Science Marketing Senior Manager Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Strategy & Consulting Global Network Song I Areas of Work:Digital Marketing, Creative Strategy, Brand Strategy, Campaign Management, Next Best Action Marketing, Mar-Tech Strategy, Customer Experience & Journey Development | Level:Senior Manager| Location:Delhi, Mumbai, Bangalore, Gurgaon, Hyderabad | Years of Exp:8+ years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture's Strategy & Consulting Global Network Song practice. The Practice A Brief Sketch The Strategy & Consulting Global Network Song practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. The Life Sciences Marketing Senior Manager position is within the Marketing Transformation vertical of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) and would collaborate on innovative projects while bringing in deep industry knowledge and Marketing skills. The key responsibilities will include Strong project management skills to plan, execute, and deliver content initiatives successfully. This includes managing timelines, budgets, resources, and coordinating cross-functional teams. An analytical & data driven mindset to drive result-oriented decisions Exposure and experience in roles across the marketing value chain, primarily in the life sciences or allied industries as detailed out below. Consulting & Advisory service Market Research Analysis and assessment of the pharmaceutical market across disease areas and opportunity identification for new launches, indication expansions, identify emerging trends, competitive landscapes, and new opportunities within the life sciences sector. Competitor benchmarking, patient journey mapping, segmentation & targeting Digital Marketing Develop E2E strategy & campaigns: Liaise with key client stakeholders in the marketing teams to design strategies for omni-channel marketing campaigns. Lead development of content marketing, social media, and web engagement programs for the client, ensuring that they are aligned with the overall content strategy. In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Provide expertise on Content design and campaign execution: Able to provide a perspective on identification and selection of the right digital channels and content types based on campaign objectives. Able to understand client requirements based on their briefs & ideate to appropriate creative designs. Support end to end campaign execution and suggest ways for optimization. Marketing Technology Lead platform assessment and solution design : Understand the marketing value chain across process, technology & people. Conduct a thorough assessment, propose a solution along with an operating model & define KPIs for different marketing technologies Adobe / SF / Veeva. Have an understanding of the regulatory, compliance and governance landscape in the industry and build frameworks for scale up. MarTech Consulting Projects: Lead projects focusing on optimizing the MarTech stack and develop use cases to improve utilization of existing MarTech stack. Research, evaluate and recommend new martech systems and suppliers. Keep a holistic understanding of existing and upcoming martech platforms and how they connect into the broader marketing technology landscape. Tools & Platforms: Hands on experience on Mar-tech tools such as Adobe campaign, Marketo, Adobe, Cloud, Google Marketing platform, Google Ads, Pega decisioning, SFMC etc. Value realization : Crafting a value tree and developing business cases for implementation and scale up Gen AI Be aware of the latest AI developments in the Life Science industry and be able to co-create customized solutions for the client to meet their objectives. Have experience in CDP tools and platforms. Design and implement GenAI use cases Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive RFP/RFI response coming in from Life Science customers Practice Development Take on leadership role:Support overall growth of practice across all the pillars Marketing as well as sales, & service through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, Adobe, IQVIA etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Establish a strong network with key stakeholders in the Accenture ecosystem, across geographies to socialize and amplify the GN Song capabilities, operating model and ways of working to generate demand and meet the KPIs Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Read about us. What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit Song | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications Your experience counts! MBA from a tier 1 institute with preferably bachelors degree in marketing, Journalism, Communications, or a related field Proven working experience (8+ years) in digital marketing/Advertising platforms and in delivering marketing solutions, particularly within the Life Sciences Industry In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Experience in working with middle to senior management levels within existing organization / client organizations Experience in working with Agencies or working in a Marketing agency for Life Sciences Clients Strong understanding of marketing, advertising technologies (with hands on) and ability to apply technology know-how to better how our clients reach out to their customers

The Strategy & Consulting Global Network Song Practice| Marketing Transformation | Life Science Marketing Senior Manager Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Strategy & Consulting Global Network Song I Areas of Work:Digital Marketing, Creative Strategy, Brand Strategy, Campaign Management, Next Best Action Marketing, Mar-Tech Strategy, Customer Experience & Journey Development | Level:Senior Manager| Location:Delhi, Mumbai, Bangalore, Gurgaon, Hyderabad | Years of Exp:8+ years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture's Strategy & Consulting Global Network Song practice. The Practice A Brief Sketch The Strategy & Consulting Global Network Song practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. The Life Sciences Marketing Senior Manager position is within the Marketing Transformation vertical of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) and would collaborate on innovative projects while bringing in deep industry knowledge and Marketing skills. The key responsibilities will include Strong project management skills to plan, execute, and deliver content initiatives successfully. This includes managing timelines, budgets, resources, and coordinating cross-functional teams. An analytical & data driven mindset to drive result-oriented decisions Exposure and experience in roles across the marketing value chain, primarily in the life sciences or allied industries as detailed out below. Consulting & Advisory service Market Research Analysis and assessment of the pharmaceutical market across disease areas and opportunity identification for new launches, indication expansions, identify emerging trends, competitive landscapes, and new opportunities within the life sciences sector. Competitor benchmarking, patient journey mapping, segmentation & targeting Digital Marketing Develop E2E strategy & campaigns: Liaise with key client stakeholders in the marketing teams to design strategies for omni-channel marketing campaigns. Lead development of content marketing, social media, and web engagement programs for the client, ensuring that they are aligned with the overall content strategy. In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Provide expertise on Content design and campaign execution: Able to provide a perspective on identification and selection of the right digital channels and content types based on campaign objectives. Able to understand client requirements based on their briefs & ideate to appropriate creative designs. Support end to end campaign execution and suggest ways for optimization. Marketing Technology Lead platform assessment and solution design : Understand the marketing value chain across process, technology & people. Conduct a thorough assessment, propose a solution along with an operating model & define KPIs for different marketing technologies Adobe / SF / Veeva. Have an understanding of the regulatory, compliance and governance landscape in the industry and build frameworks for scale up. MarTech Consulting Projects: Lead projects focusing on optimizing the MarTech stack and develop use cases to improve utilization of existing MarTech stack. Research, evaluate and recommend new martech systems and suppliers. Keep a holistic understanding of existing and upcoming martech platforms and how they connect into the broader marketing technology landscape. Tools & Platforms: Hands on experience on Mar-tech tools such as Adobe campaign, Marketo, Adobe, Cloud, Google Marketing platform, Google Ads, Pega decisioning, SFMC etc. Value realization : Crafting a value tree and developing business cases for implementation and scale up Gen AI Be aware of the latest AI developments in the Life Science industry and be able to co-create customized solutions for the client to meet their objectives. Have experience in CDP tools and platforms. Design and implement GenAI use cases Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive RFP/RFI response coming in from Life Science customers Practice Development Take on leadership role:Support overall growth of practice across all the pillars Marketing as well as sales, & service through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, Adobe, IQVIA etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Establish a strong network with key stakeholders in the Accenture ecosystem, across geographies to socialize and amplify the GN Song capabilities, operating model and ways of working to generate demand and meet the KPIs Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Read about us. Your experience counts! MBA from a tier 1 institute with preferably bachelor's degree in marketing, Journalism, Communications, or a related field Proven working experience (8+ years) in digital marketing/Advertising platforms and in delivering marketing solutions, particularly within the Life Sciences Industry In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Experience in working with middle to senior management levels within existing organization / client organizations Experience in working with Agencies or working in a Marketing agency for Life Sciences Clients Strong understanding of marketing, advertising technologies (with hands on) and ability to apply technology know-how to better how our clients reach out to their customer

Design develop & deploy web app using Next.js & modern frameworks Integrate & utilize LLM or Gen AI APIs Build resp UI/UX & dynamic pages with SSR & SSG using Next.js. Collab with data scientists AI engineers & UX/UI designers to bring AI features Required Candidate profile 3–6+ yrs of exp in full stack or front-end developer. Proficiency in Next.js, React.js JavaScript/TypeScript. Exp in working with LLMs integrating GenAI tools/APIs in real world app

Location: Navi Mumbai Job Type: Fulltime Woke Mode: 5 Days office Immediate notice Skills required: 1. Minimum 3+ years of Experience of GEN AI 2. Experience with: Programming Knowledge of Java /Pyth

Qualifications Mumbai Primary Responsibilities The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SMEs and understand the business requirements for prompt engineering and proper python code development. Experience with Open AI and different LLM models, conduct testing and performance evaluation is required. Good candidate should be familiar with ongoing monitoring. Contribute to development and maintenance of the python library. Contribute to the support of the library. Participate in prompt engineering. Maintain the prompts and keep them up to date with the new LLM versions Conduct regular testing and performance analysis. Participate in prompt benchmarking experiments. Skills Required - Bachelors in computer science or related field - Years of experience: 5+ - Hands-on experience in building python applications - Excellent prompt engineering skills - Excellent Python development skills - Knowledge of design patterns, system resiliency, observability, scalability and performance - Experience of Agile development - Strong analytical skills and passion for problem-solving - Good communication skills Skills Desired - Experience with machine learning, vector databases - Cloud-based application development preferably using Microsoft Azure Cloud - Prior experience in FinTech application development - Exposure to working in a global delivery team