85 Nlp Techniques Jobs

As a Lead AI Developer at Aumento Technologies & Consulting Services Pvt Ltd, you will play a crucial role in bridging business requirements with cutting-edge AI solutions. You will independently design, develop, and deploy enterprise-grade AI systems, including RAG (Retrieval-Augmented Generation) based applications. **Key Responsibilities:** - Collaborate with business stakeholders to identify and scope AI/ML/GenAI opportunities - Lead development of RAG-based AI solutions, integrating LLMs with enterprise data sources - Design and implement data pipelines, embeddings, and vector databases for retrieval-based systems - Build and optimize machine learning, deep learning, NLP, and generative AI models - Deploy AI solutions into production on cloud platforms (SAP BTP AI Core, Azure ML, AWS Sagemaker, GCP Vertex AI) - Establish best practices in MLOps (CI/CD, monitoring, model retraining, governance) - Mentor junior AI developers and contribute to reusable AI accelerators **Required Skills & Experience:** - Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field - 6+ years of experience in AI/ML development, with 2+ years in a lead/architect role - Strong programming in Python and experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) - Hands-on expertise in Generative AI, RAG pipelines, vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) - Experience with LLM integration (OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, etc.) - Strong knowledge of NLP techniques: embeddings, transformers, summarization, question answering - Experience with cloud-based AI development (SAP BTP AI Core preferred, Azure, AWS, GCP) - Understanding of MLOps & model lifecycle management - Ability to articulate business requirements and convert them into scalable AI solutions **Good to Have:** - Experience integrating AI with SAP ecosystem (SAC, BTP, DataSphere, Integration Suite) - Domain exposure in Manufacturing, CPG industries, Pharma, Automotive - Knowledge of prompt engineering and fine-tuning LLMs - Experience in data security, governance, and responsible AI If you are passionate about building AI solutions that blend machine learning, generative AI, and RAG for real-world impact, do not hesitate to apply. Join us to lead cutting-edge AI & GenAI initiatives across industries and be part of an entrepreneurial, collaborative work environment with competitive compensation and fast-track growth opportunities.,

As a Senior Consultant at Kroll, you will be a part of the Decision Intelligence Services team, contributing to seamless analytical advisory services throughout the deal continuum. Your expertise in Artificial Intelligence, Machine Learning, Deep Learning, and LLM models for Generative AI, text analytics, and Python Programming will play a crucial role in scaling the Data, Analytics, and AI team. You will be responsible for offering industry/sector solutions and building automation tools to accelerate due diligence, data-driven insights, and optimization models. **Key Responsibilities:** - Build, review, and implement solutions using AI/GenAI, ML, and deep learning techniques, and develop APIs with Python - Handle large data volumes using the latest techniques and data tools - Work with advanced GenAI models like GPT 4, GPT 4o, Llama, and AI architecture leveraging vector DBs / RAG based approaches - Engage in buy/sell-side due diligence engagements, identifying value creation opportunities for analytics application - Deliver and manage mid to large size deals, ensuring smooth delivery on assigned engagements - Communicate effectively with cross-functional teams, coordinating between core functional and technology teams - Manage stakeholder relationships and lead mid-market deals from an analytics perspective - Prepare demo tools to be shared directly with clients - Engage directly with clients for delivery - Interpret data sets using statistical tools to identify trends and patterns - Uphold the firm's code of ethics and business conduct **Qualifications Required:** - Minimum 5-9 years of related work experience in developing and implementing AI/GenAI, ML models across industries - 2 years of experience with natural language generation/processing, LLM techniques, and familiarity with AI/ML frameworks - 4 years of experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services - Strong experience in statistical techniques, forecasting models, and Merger & Acquisition domain areas - Bachelor's degree in Engineering from a tier 1 college (Masters in Business/domain preferred) - Proficiency in programming languages like Python, analytics and data platforms like Azure, and business intelligence tools like PowerBI - Superior analytical, problem-solving, written, and verbal communication skills - Dedication to teamwork and flexibility to adapt to changing client demands - Desire to grow into a techno-functional consultant role Kroll, a global leader in risk and financial advisory solutions, offers a collaborative and empowering environment where you can propel your career to new heights. Join One Team, One Kroll, and contribute to building, protecting, restoring, and maximizing client value. Kroll is committed to equal opportunity and diversity, recruiting based on merit. Apply now via careers.kroll.com to be considered for this exciting opportunity.,

Role Overview: We are looking for a Data Scientist with a strong foundation in data analysis, exploratory data analysis (EDA), and applied statistics. The ideal candidate should have experience working with Python, SQL, and key data science libraries for data wrangling, visualization, and model building. Key Responsibilities: 4-6 years of experience Design, build, and deploy machine learning and generative AI models. Work with large datasets to extract insights and build predictive/analytical solutions. Apply NLP, LLMs, and GenAI frameworks to real-world use cases. Collaborate with cross-functional teams to identify business needs and deliver AI-driven solutions. Fine-tune pre-trained models (LLMs, transformers) for domain-specific tasks. Stay updated with latest GenAI advancements and apply them effectively. Required Skills & Qualifications: Strong background in Python, data science libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Hands-on experience with Generative AI, LLMs, transformers, or diffusion models. Experience with NLP techniques, prompt engineering, and model fine-tuning. Familiarity with cloud platforms (AWS / Azure / GCP) and MLOps practices. Good understanding of data preprocessing, feature engineering, and model evaluation. Strong problem-solving and communication skills. Show more Show less

As an Observability Developer at GlobalLogic, you will play a crucial role in alert configuration, workflow automation, and AI-driven solutions within the observability stack. Your responsibilities will involve designing and implementing alerting rules, configuring alert routing and escalation policies, building workflow integrations, developing AI-based solutions, collaborating with teams, and automating alert lifecycle management. Here's a breakdown of your role: **Role Overview:** You will be a proactive and technically versatile Observability Developer responsible for ensuring actionable alerts, well-integrated workflows, and AI-enhanced issue resolution within the observability stack. **Key Responsibilities:** - Design and implement alerting rules for metrics, logs, and traces using tools like Grafana, Prometheus, or similar. - Configure alert routing and escalation policies integrated with collaboration and incident management platforms (e.g., Slack, PagerDuty, ServiceNow, Opsgenie). - Build and maintain workflow integrations between observability platforms and ticketing systems, CMDBs, and automation tools. - Develop or integrate AI-based solutions for mapping telemetry signals, porting configurations, and reducing alert fatigue. - Collaborate with DevOps, SRE, and development teams to contextualize alerts and ensure their meaning. - Automate alert lifecycle management through CI/CD and GitOps pipelines. - Maintain observability integration documentation and provide support to teams using alerting and workflows. **Qualification Required:** - 3+ years of experience in DevOps, SRE, Observability, or Integration Development roles. - Hands-on experience with alert configuration in tools like Grafana, Prometheus, Alertmanager, or similar. - Experience integrating alerts with operational tools such as Slack, PagerDuty, Opsgenie, or ServiceNow. - Solid understanding of observability concepts (metrics, logs, traces). - Scripting or development experience in Python, Bash, or similar. - Experience with REST APIs and webhooks for creating workflow integrations. - Familiarity with CI/CD and GitOps tooling (e.g., ArgoCD, GitHub Workflows). *Note: Preferred qualifications were not explicitly mentioned in the provided job description.* GlobalLogic prioritizes a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and integrity. As a part of the GlobalLogic team, you will have the opportunity to work on impactful projects and collaborate with forward-thinking companies to shape the digital landscape.,

As a software engineer with 5+ years of professional experience in machine learning, natural language processing, and data science, you will be responsible for the following key responsibilities: - Demonstrate a strong understanding and hands-on experience with AI technologies such as ML, DL, NLP, and RL. - Utilize your expertise in data science principles and processes to work with NLP, LLMs, deep learning, and typical data used in such models. - Apply NLP techniques for text representation, semantic extraction, data structures, and modeling. - Utilize your strong programming skills in languages like Python, R, or Scala. - Proficiently work with popular deep learning frameworks like TensorFlow/Keras or PyTorch. - Utilize your experience with cloud services/environments such as Azure, AWS, and GCP ecosystems. - Apply your knowledge of HuggingFace and Langchain to enhance your work. Qualifications required for this role include: - Bachelor's or Master of Science Degree in Computer Science or a related field. - At least 5 years of professional experience as a software engineer with a focus on machine learning, NLP, and data science. - Strong programming skills in languages like Python, R, or Scala. - Proficiency in deep learning frameworks such as TensorFlow/Keras or PyTorch. - Experience with cloud services/environments like Azure, AWS, and GCP ecosystems. - Good understanding of HuggingFace and Langchain. You should also be able to create technical examples, prototypes, and demonstrations based on rapidly changing data and tool sets.,

As an Observability Developer at GlobalLogic, you will play a crucial role in alert configuration, workflow automation, and AI-driven solutions within the observability stack. Your responsibilities will include designing and implementing alerting rules, configuring alert routing and escalation policies, building workflow integrations, developing AI-based solutions, collaborating with cross-functional teams, and automating alert lifecycle management. **Key Responsibilities:** - Design and implement alerting rules for metrics, logs, and traces using tools like Grafana, Prometheus, or similar. - Configure alert routing and escalation policies integrated with collaboration and incident management platforms (e.g., Slack, PagerDuty, ServiceNow, Opsgenie). - Build and maintain workflow integrations between observability platforms and ticketing systems, CMDBs, and automation tools. - Develop or integrate AI-based solutions for: - Mapping telemetry signals to service/application components. - Porting or translating existing configurations across environments/tools. - Reducing alert fatigue through intelligent correlation and suppression. - Collaborate with DevOps, SRE, and development teams to ensure alerts are meaningful and well-contextualized. - Automate alert lifecycle management via CI/CD and GitOps pipelines. - Maintain observability integration documentation and provide support to teams using alerting and workflows. In this role, you will be part of a culture of caring at GlobalLogic, where people come first. You will experience an inclusive environment that prioritizes learning and development, interesting and meaningful work, balance, flexibility, and a high-trust organization. Join GlobalLogic, a Hitachi Group Company, and be part of a team that is at the forefront of the digital revolution, collaborating with clients to transform businesses and redefine industries through intelligent products, platforms, and services.,

Ready to build the future with AI At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Consultant, Prompt Engineer In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies. Responsibilities Design and develop effective prompts to interact with LLMs. Test and refine prompts on model responses and specific use cases and requirements. Collaborate with data scientists and developers. Analyze and interpret model outputs to improve prompt design. Ensure that prompts adhere to legal and compliance mandates ethical guidelines and cultural sensitivities. Provide expertise in NLP and AI interactions. Document prompt design strategies and guidelines for various use cases. Work closely with SMEs and domain experts to ensure prompt relevance and accuracy. Adapt prompts for different languages audiences and cultural context is required. Keep up to date on the latest developments in AI and language models. Over time build a basic understanding of the investment research domain. Qualifications we seek in you! Minimum Qualifications BE/B Tech/MCA Excellent written and verbal communication skills Preferred Qualifications/ Skills Strong background in AI machine learning and LLMs Experience in NLP techniques Familiarity with programming languages used in LLM ecosystems (python) Ability to communicate with technical and non-technical stakeholders. Collaborative work Strong analytical skills and superb attention to detail Creativity and innovation in problem solving. Understanding of ethical and compliance considerations for AI and NLP. Ability to work in a fast-paced environment Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

As an experienced AI Architect, your role will involve leading the design, development, and deployment of large-scale AI solutions. You will be responsible for bridging the gap between business requirements and technical implementation, with a focus on generative AI and modern MLOps practices. Key Responsibilities: - Architect end-to-end AI systems utilizing large language models and generative AI technologies - Design scalable, production-ready AI applications that align with business objectives and performance requirements - Evaluate and integrate LLM APIs from leading providers such as OpenAI, Anthropic Claude, and Google Gemini - Establish best practices for prompt engineering, model selection, and AI system optimization - Fine-tune open-source models like Llama and Mistral for specific business use cases - Implement custom training pipelines and evaluation frameworks - Optimize model performance, latency, and cost for production environments - Stay updated with the latest model architectures and fine-tuning techniques - Deploy and manage AI models at an enterprise scale using containerization (Docker) and orchestration (Kubernetes) - Build robust, scalable APIs using FastAPI and similar frameworks - Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment - Ensure high availability, security, and performance of AI systems in production - Collaborate with stakeholders to understand business problems and translate them into technical requirements - Provide technical guidance and mentorship to development teams - Conduct feasibility assessments and technical due diligence for AI initiatives - Create technical documentation, architectural diagrams, and implementation roadmaps Required Qualifications: - 7+ years of experience in machine learning engineering or data science - Proven track record of delivering large-scale ML solutions Technical Skills: - Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.) - Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.) - Strong proficiency in FastAPI, Docker, and Kubernetes - Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) - Proficiency in Python and modern software development practices - Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services Core Competencies: - Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques - Experience with MLOps tools and practices (model versioning, monitoring, CI/CD) - Ability to translate complex business requirements into technical solutions - Strong problem-solving skills and architectural thinking Preferred Qualifications: - Experience with vector databases and retrieval-augmented generation (RAG) systems - Knowledge of distributed training and model parallelization techniques - Experience with model quantization and optimization for edge deployment - Familiarity with AI safety, alignment, and responsible AI practices - Experience in specific domains (finance, healthcare, legal, etc.) - Advanced degree in Computer Science, AI/ML, or related field,

As a Senior Manager V&A Transformation Initiatives at Amgen, you will lead a team dedicated to solving the biggest challenges faced by the US Value & Access teams through the utilization of cutting-edge technology. Your role will involve merging a profound understanding of access data and analytics with expertise in advanced machine learning, operational research, semantic analysis, and statistical methods to reveal patterns within large datasets. Together with your team, you will drive improvements in net revenue, enhance USV&A team efficiency, and deepen the organization's comprehension of the American healthcare ecosystem. The AIN Transformation team will be recognized as an innovation hub, continuously refining analytics solutions to cater to customer needs and opportunities in collaboration with business partners. The ideal candidate for this leadership position will possess a keen understanding of the business challenges encountered by US Value & Access teams, coupled with a proven track record of leading teams to develop, implement, and enhance new advanced analytics tools. Reporting to the Executive Director of Strategy & Innovation, you will closely collaborate with leaders of the Access Analytics & Insights organization in India and the United States. Your responsibilities will include leading a team to create innovative AI solutions, overseeing technical teams in the development and application of various analytics, integrating custom applications and intelligent dashboards with AI capabilities, acting as a product owner for solutions developed by the Transformation team, driving the full lifecycle of Data Science projects delivery, collaborating with US Commercial and Technology functions, managing the AI tools roadmap, presenting insights to executive leadership, supervising a team of data scientists, and supporting various teams in identifying value capture opportunities. Basic qualifications for this role include a Master's degree in computer science, statistics, or STEM majors with a minimum of 8 years of Information Systems experience, or a Bachelor's degree in the same fields with at least 10 years of Information Systems experience. Additionally, having 3-5 years of pharmaceutical or biotech industry experience, familiarity with analytic software tools like R and Python, and a strong foundation in machine learning algorithms and techniques are expected. Preferred qualifications encompass experience in leading data science projects and managing large teams, knowledge of NLP techniques, expertise in analyzing time-series data, familiarity with cloud platforms like AWS, Azure, or Google Cloud, and experience with the Databricks platform for data analytics and MLOps. In terms of professional certifications, possessing AWS Developer certification, Python and ML certification are preferred. Soft skills required for this role include the initiative to explore new technologies, problem-solving skills, excellent analytical skills, effective communication skills, the ability to work in global teams, self-motivation, and the capacity to manage multiple priorities successfully while focusing on team goals. Amgen offers competitive benefits and comprehensive Total Rewards Plans in addition to a base salary. If you are passionate about making a difference in patients" lives and are driven by innovation, join us at Amgen for a career that defies imagination. Apply now and be a part of shaping the future at careers.amgen.com.,

As an Individual Contributor at P50 level at Adobe Express, you will have the opportunity to develop ML models, platforms, and services covering the entire ML lifecycle. You will be part of the AI Foundation Team that aims to create a groundbreaking AI stack using internal and external technologies to enhance feature speed and quality, ultimately improving user experience. Your role will involve researching, designing, and implementing advanced ML models and pipelines for training and inference at scale, utilizing techniques in computer vision, NLP, deep learning, and generative AI. You will collaborate with cross-functional teams to translate product requirements into ML solutions, from proof-of-concept to fully productionized services. It will be essential to develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring high model quality and relevance. Leveraging distributed computing technologies and cloud infrastructures will be crucial for handling large-scale data processing, feature engineering, and real-time inference, optimizing performance and cost-efficiency. Implementing reliable APIs and microservices to serve ML models to end users will be a key responsibility, aligning with standard methodologies in security, compliance, scalability, and maintainability. Staying updated on emerging ML research, tools, and frameworks will be necessary to evaluate and integrate new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, the role will expand to include more creative tasks, improve model architectures for better latency and accuracy, and integrate federated learning or domain adaptation strategies to reach diverse audiences. Basic qualifications for this role include a PhD, Masters, or Bachelors in Computer Science or related technical field, along with 14+ years of industry experience. Proficiency in Python and Java for ML model development and systems integration, hands-on experience with deep learning frameworks like TensorFlow and PyTorch, and familiarity with LLMs and agent frameworks are required. Additionally, proficiency in computer vision and NLP techniques, experience in Creative and Imaging Domains, and developing and deploying RESTful web services and microservices architectures for ML applications are essential. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes is also a requirement. As part of Adobe Express, you will have internal opportunities for career growth by embracing creativity, curiosity, and continuous learning. Updating your Resume/CV and Workday profile, exploring internal mobility options, and preparing for interviews are key steps to put your best foot forward. The Talent Team will reach out to you within 2 weeks after applying for a role via Workday, and if you move forward to the interview process, informing your manager is crucial for championing your career growth. At Adobe, you will experience an exceptional work environment and be surrounded by colleagues committed to helping each other grow. If you are looking to make an impact and thrive in a supportive atmosphere, Adobe is the place for you. Adobe aims to ensure accessibility for all users, so if you require any accommodations during the application process, you can reach out via email or phone for assistance.,

Job Title: Sr. AI/ML Engineer-Gen AI Location: Bangalore Experience: 4+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn Show more Show less

Requirements: 4+ years of hands-on experience in data science and machine learning, with a solid track record of delivering successful projects. Strong analytical and problem-solving skills, with the ability to manage large, complex datasets. Proficient in Python, with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience in Convolutional Neural Networks, Transformers, Transfer Learning from LLMs to SLMs (Smaller Language Migration). Experience with NLP techniques and deep learning models, including CNNs, RNNs, Transformers, and LLMs, especially in tasks like classification and sentiment analysis. Proven experience in deploying machine learning models in production environments. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies like Docker and Kubernetes is a plus. Excellent communication skills and the ability to work effectively in collaborative team environments. Bachelors or masters degree in computer science, or a related field.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking for Manager Level Architects with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs across different Customer and SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your key responsibilities include collaborating with EY Supply Chain & Operations stakeholders and data engineering teams to enable high-quality data curation for model training and evaluation, designing, developing, and fine-tuning Generative AI models, implementing solutions for data pre-processing, tokenization, and dataset augmentation, deploying Generative AI models on cloud platforms or edge devices, working on MLOps pipelines, conducting performance benchmarking, hyperparameter tuning, and optimization, and staying updated on the latest trends and advancements in Generative AI. To qualify for the role, you must have 6-10 years of experience in ML, MLOps, Generative AI LLMs as Developer/Lead/Architect, expertise in Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts, thorough knowledge in SQL, Python, PySpark, Spark, and other languages, experience in developing end-to-end GenAI solutions with the capability to migrate the solution for Production, knowledge of Cloud like Azure, AWS, GCP, etc., knowledge of frameworks like LangChain, Hugging Face, Azure ML Studio, Azure, knowledge of data modeling and Vector DB management, and experience in designing and developing complex flows and processes. Skills and attributes for success include proficiency in Python with focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers, experience with data pipelines and tools like Spark, Snowflake, or Databricks, strong hands-on experience deploying AI models on cloud platforms, expertise in Model Development with in-depth knowledge of LLMs, and the ability to mentor developers and contribute to architectural decisions. Ideally, you'll also have a strong understanding of Customer and Supply Chain process and operations, knowledge of Programming concepts, Cloud Concepts, LLM Models, design, and coding, expertise in data handling to resolve any data issues as per client needs, experience in designing and developing DB objects and Vector DBs, experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking, and migrating complex datasets, and good verbal and written communication in English. At EY, you'll be part of a market-leading, multi-disciplinary team of professionals, and you'll have opportunities to work with leading businesses across a range of industries. EY offers support, coaching, and feedback, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an AI Automation Architect for Customer Business Process Manager, you will be responsible for working on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This role offers a fantastic opportunity to be part of a leading firm and instrumental in the growth of a new service offering within the Supply Chain Technology group of our GDS consulting Team. You will collaborate with EY Supply Chain & Operations stakeholders and data engineering teams to enable high-quality data curation for model training and evaluation. Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. To qualify for this role, you must have 6-10 years of experience in ML, MLOps, Generative AI LLMs as a Developer/Lead/Architect. Expertise in Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Thorough knowledge in SQL, Python, PySpark, Spark, and other languages. Experience in developing end-to-end GenAI solutions with the capability to migrate the solution for Production. Knowledge of Cloud platforms like Azure, AWS, GCP, etc. Knowledge of frameworks like LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modeling and Vector DB management and modeling. Design and develop complex flows and processes. Ideally, you'll also have a good understanding of Customer and Supply Chain processes and operations, strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design, and coding. Experience in data handling to resolve any data issues as per client needs. Experience in designing and developing DB objects and Vector DBs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking, and migrating complex datasets. Experience in Model selection and tuning of the model. Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents. Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc will be preferred. Experience with Cloud databases and multiple ETL tools. At EY, you'll have the opportunity to drive Generative AI and ML-related developments, with additional knowledge of data structures, preferably in the Supply Chain Industry. You'll be part of a market-leading, multi-disciplinary team of 10,000+ professionals, working with leading businesses across a range of industries globally. EY offers support, coaching, and feedback from engaging colleagues, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are currently seeking Senior Level Consultants with expertise in Generative AI to join our Supply Chain Technology group within the GDS consulting Team. This role offers the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. You will play a key role in driving new business initiatives and solutions for our clients within the Supply Chain industry. Key Responsibilities: - Collaborate with data engineering teams to enable high-quality data curation for model training and evaluation. - Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. - Implement solutions for data pre-processing, tokenization, and dataset augmentation. - Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. - Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. - Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. - Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills and Attributes for Success: - 4-7 years of experience in Generative AI, Machine Learning, or Analytics development. - Proficiency in Python with focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. - Experience with data pipelines and tools like Spark, Snowflake, or Databricks. - Strong hands-on experience deploying AI models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML). - Expertise in Model Development with in-depth knowledge of LLMs such as GPT-3.5, GPT-4, DALL-E, and others. - Experience with tools like MLflow, Kubeflow, or Airflow for operationalizing ML workflows. - Ability to mentor developers and contribute to architectural decisions. - Familiarity with Vector Databases and embeddings. - Knowledge of NLP techniques like summarization, text classification, and entity recognition. - Certifications in Machine Learning or cloud platforms are a plus. Qualifications: - 4-7 years of ML, MLOps, Generative AI experience as Developer/Lead/Architect. - Expertise in Data Engineering, Data transformation, curation, feature selection, ETL mappings, and Data Warehouse concepts. - Proficiency in SQL, Python, PySpark, Spark, and other languages. - Knowledge of Cloud platforms and frameworks like LangChain, Hugging Face, Azure ML Studio. - Experience in designing and developing end-to-end GenAI solutions for production. - Strong communication skills and ability to interact with clients to understand business requirements. EY offers a dynamic and inclusive work environment where you can contribute to cutting-edge projects and develop your skills. Join us in building a better working world through innovation and collaboration.,

Job Description: Trainer NLP, ANN & Deep Learning Location: Gurugram Employment Type: Contract Basis (Q Academy Payroll) About Q Academy Q Academy enables students to gain expertise in advanced AI concepts through practical, research-oriented learning. Key Responsibilities Deliver lectures in Natural Language Processing, Artificial Neural Networks, and Deep Learning. Conduct labs and guide projects in AI/ML. Prepare learning material, case studies, and assessments. Mentor students on industry use cases. Qualifications Master’s degree (M.Tech/M.E./M.Sc.) or PhD in AI/ML, Data Science, or Computer Science. Skills Required Expertise in NLP techniques, deep learning (CNN, RNN, Transformers), and machine learning. Hands-on with TensorFlow, PyTorch, NLTK, SpaCy, Keras. Strong coding in Python.

As an intern at Akaike Technologies, you will be engaged in a variety of exciting tasks related to working with Large Language Models (LLMs) such as GPT, LLaMA, or Mistral to develop real-world applications. Your responsibilities will include developing effective prompts to enhance AI-generated outputs, implementing Retrieval-Augmented Generation (RAG) for improved knowledge retrieval, and applying classic ML techniques (classification, regression, clustering) using tools like scikit-learn, TensorFlow, or PyTorch. You will also be involved in working with Hugging Face Transformers for pre-trained model adaptation, developing RESTful APIs to seamlessly integrate AI models into applications, and collaborating with APIs from OpenAI, Cohere, Hugging Face, Google AI for model interactions. Additionally, you will implement frameworks like LangChain for LLM-driven applications, deploy AI apps using backend frameworks like Flask, FastAPI, and utilize lightweight frontend technologies such as Streamlit, Gradio, etc. Your role will also include tasks such as collecting and preprocessing both structured and unstructured data for ML training, applying NLP techniques like tokenization, named entity recognition, and text summarization, alongside having a good understanding of SQL querying and PySpark. You will deploy models using Docker and cloud platforms such as AWS, GCP, Azure, ensuring clear documentation of workflows, experiments, and findings, and sharing insights with the team on emerging AI techniques and tools. Join us at Akaike Technologies, where we harness the power of Computer Vision, NLP, Predictive Analytics, and Generative AI to deliver intelligent solutions that redefine what's possible. Over the years, we have amazed clients with our innovative AI solutions that have revolutionized industries, enhanced efficiency, and pushed the boundaries of technological advancement.,

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With a core value of Passion for Quality, over 1,300 professionals across twenty global locations work towards strengthening the supply of safe, quality medicines worldwide. USP values inclusivity and fosters a culture of mentorship and professional growth. The organization emphasizes Diversity, Equity, Inclusion, and Belonging in all aspects to build a world where quality healthcare is accessible to everyone. As part of the Digital & Innovation group at USP, we are seeking a Data Scientist proficient in advanced analytics, machine learning, and data visualization. The role involves working on projects that drive innovations and deliver digital solutions, aiming to create a unified experience within our ecosystem. Your impact at USP involves contributing to the public health mission, increasing access to high-quality medicine, and improving global health through public standards and programs. Additionally, investment in the professional development of all people managers ensures engaged and productive work environments. Key Responsibilities: - Conduct exploratory data analysis to identify anomalies, understand patterns, and test hypotheses. - Utilize machine learning techniques for classification and regression tasks to address business needs. - Apply natural language processing techniques to extract information and enhance business workflows. - Interpret and communicate results clearly to diverse audiences. - Collaborate with data scientists, data engineers, and the IT team to ensure project success. Qualifications: - Bachelor's degree in a relevant field or equivalent experience. - 5-7 years of experience for Senior Data Scientist, 8-10 years for Lead Data Scientist. - Proficiency in Python, SQL, and visualization packages. - Experience with CNN/RNN models, data extraction, and scraping. - Additional preferences include a master's degree, experience in life sciences or chemistry, and proficiency in GenAI concepts. Benefits at USP include comprehensive healthcare options, retirement savings, and company-paid time off. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Category: Information Technology Job Type: Full-Time,

PristineAI is leading the retail revolution by developing advanced AI solutions that enhance pricing, promotions, personalization, and assortment management. Our innovative platforms, powered by Natural Language Processing (NLP) and forecasting technologies, equip decision-makers with powerful tools. With our presence in Woburn, MA, and Engineering Labs in Mumbai and Chennai, we are a fast-growing team committed to pushing the boundaries of AI to deliver impactful and industry-first solutions. Our flagship platform, Kai, leverages Natural Language Processing to democratize AI for decision-makers. Additionally, our Presto forecasting and optimization platform significantly increases retailer profitability. Every day, our SaaS platform learns from over 40 million new customer interactions across 12,000 stores/websites and 30 million customers. If you are a creative problem solver and team player, we welcome you to join our dynamic AI team. We are currently looking for a Lead AI Engineer with over 5 years of hands-on experience to join our team in Mumbai. The ideal candidate should possess a solid foundation in AI, Mathematics, Statistics, or Computer Science, and demonstrate proven implementation skills. Expertise in Deep Learning would be a valuable asset. As we integrate LLM and Copilot technologies into our solutions, we seek individuals who are passionate about creatively applying these technologies. AI plays a central role in our platform, influencing both the user experience and backend functionalities. We are in search of engineers who are enthusiastic about engaging in all stages of the solution lifecycle and embracing the technologies used to build cutting-edge solutions. **Role:** Lead AI Engineer **Qualification:** Bachelors or Masters degree in Computer Science, Software Engineering, AI, Statistics, or Math **Experience:** 5+ years in AI/ML engineering roles, with at least 2-3 years in a senior technical leadership position **Location:** Mumbai, India **Industry:** IT - SaaS, Retail **Job Type:** Full-Time, Permanent (Work from office) **Key Attributes and Abilities:** - Exceptional problem-solving skills with expertise in problem definition and developing alternative solution approaches - Strong design abilities and proficient in generating clean, efficient, and maintainable code - Excellent verbal and written communication skills - Adaptability to dynamic environments and shifting priorities - Collaborative mindset and effective team player - Hands-on experience in project development and support - Proficiency in conducting rigorous reviews and offering quality feedback **Technical Expertise and Familiarity:** - Supervised and unsupervised learning, deep learning, and NLP techniques - Proficiency in LLM technologies, causal inference, and A/B testing - Familiarity with optimization techniques and data visualization tools - Programming languages: Python, R, SQL - ML frameworks and libraries: TensorFlow, PyTorch, SkLearn - Database experience: Oracle, SQL/NoSQL, MySQL **Responsibilities:** - Develop and deploy AI/ML models for retail optimization - Collaborate with cross-functional teams to implement solutions and enhance data models - Build analytical tools to provide insights into key business metrics - Deploy AI models into production environments and manage data attributes - Innovate AI infrastructure for scalability and efficiency - Mentor junior engineers and ensure high-quality AI systems - Stay updated with AI research and integrate emerging technologies into solutions - Conduct code reviews and troubleshoot data quality issues **Remunerations and Benefits:** - Opportunity to shape the future of the industry in a start-up environment - Work with talented Retail Business Practitioners, Consumer Behavior Analysts, AI Experts, and Engineers - Annual study time allocation - Competitive salaries, equity, and health insurance coverage PristineAI is an equal opportunity employer that values diversity and is dedicated to creating an inclusive work environment for all employees.,

At BMC, trust is not just a word - it's a way of life! We are an award-winning, equal opportunity, culturally diverse, and fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, knowing that you will bring your best every day. We champion your wins and shout them from the rooftops, while your peers inspire, drive, support you, and make you laugh out loud! The Value & Solution Engineering group (VSE) at BMC partners with the Sales organization to deliver impactful customer experiences by combining in-depth knowledge of BMC solutions with a deep understanding of the customer's business. As an AI Specialist at BMC Software, you will develop and implement AI solutions that enhance our ability to showcase the value of BMC products. Your expertise in AI technologies, generative AI, and large language models will support presales and sales teams in engaging potential clients effectively. In this exciting role, you will contribute to BMC Software's success by: - Developing AI and generative AI solutions aligned with customer needs and business goals. - Creating prototypes and proof-of-concept models to demonstrate AI capabilities. - Leveraging knowledge management platforms and content repositories to build AI models for sales engagements. - Conducting technical demos and presentations to highlight AI-driven solutions. - Collaborating with internal teams to understand business challenges and propose AI-based solutions. - Providing technical support, addressing AI-related queries and concerns. - Working cross-functionally with solution engineers, value engineers, and product managers to ensure successful AI implementations. - Staying updated with advancements in AI, generative AI, and large language models to enhance solution offerings. To ensure your success in this role, you should possess the following skillset & experience: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in AI engineering, particularly with generative AI and large language models. - Expertise in machine learning frameworks, NLP techniques, and web scraping. - Strong analytical and problem-solving skills to develop AI solutions for client challenges. - Excellent communication and presentation skills to simplify complex AI concepts for diverse audiences. - Ability to thrive in collaborative, fast-paced environments and adapt to evolving business needs. BMC's culture is built around its people, with more than 6000 brilliant minds working together across the globe. If you are deeply excited about BMC and this team, we encourage you to apply even if you are unsure if you meet the qualifications of this role. We aim to attract talents from diverse backgrounds and experiences to face the world together with the best ideas. BMC's employee compensation package includes more than just salary, with other rewards such as a variable plan and country-specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and we maintain transparency about our compensation practices. If you have had a break in your career, this role is eligible for candidates looking to re-enter the workforce. Visit [BMC Returnship](https://bmcrecruit.avature.net/returnship) to learn more and apply.,

This position is part of the Artificial Intelligence (AI) Review and Challenge Group within Citi's Model Risk Management organization. You will be responsible for performing independent review and effective challenge of all lifecycle activities of Artificial Intelligence (AI) / Machine Learning (ML) non-model objects used in Citi. You will deal with most problems independently and have some latitude to solve complex problems. It is essential to integrate in-depth specialty area knowledge with a solid understanding of industry standards and practices. You are expected to have a good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applying analytical thinking and knowledge of data analysis tools and methodologies is a key aspect of this role. Attention to detail is required when making judgments and recommendations based on the analysis of factual information. You will typically deal with variable issues with potentially broader business impact. Professional judgment is crucial when interpreting data and results, breaking down information in a systematic and communicable manner. Developed communication and diplomacy skills are essential for exchanging potentially complex/sensitive information. This role will have a moderate but direct impact through close contact with the businesses" core activities. The quality and timeliness of service provided will affect the effectiveness of your own team and other closely related teams. Responsibilities: - Develop, enhance, and validate the methods of measuring and analyzing risk for all risk types including market, credit, and operational. - Support the design, development, delivery, and maintenance of best-in-class Risk programs, policies, and practices for Risk Management. - Review institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements. - Identify potential risks and escalate for further review. - Handle preliminary investigations, assist with reconciliation procedures, and prepare routine correspondence. - Create and maintain reports for control, tracking, and analysis purposes and ensure appropriate and secure retention of documents. - Work with more senior staff in investigating and responding to customer and operational complaints. - Interact and work with other areas within Risk Management, as necessary. - Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency. Skills and exposure required: - 2+ years of experience - Model validation or model development experience using NLP techniques is preferred - Experience/familiarity with AI/ML applications in areas such as generative AI, cybersecurity, chatbot, natural language processing, image/voice recognition, robotic process automation - In-depth technical knowledge of generative AI, common AI/ML techniques, and a strong understanding of risks associated with generative AI, AI/ML, and corresponding mitigants - Ability to collaborate with peers and stakeholders with various backgrounds and effectively explain technical terms to an audience with different levels of technical knowledge - Ability to conduct independent research on cutting-edge technology about generative AI - Self-motivated and detail-oriented Education: - Masters with a specialization in Statistics, Mathematics, Finance, or other quantitative discipline - data science, AI/ML, etc. preferred,

The Digital & Innovation group at USP is looking for a Data Scientist with expertise in advanced analytics, including predictive modeling, machine learning, and natural language processing, as well as data visualization. As a Data Scientist at USP, you will be involved in projects that drive innovations and deliver digital solutions, contributing to USP's public health mission of increasing access to high-quality, safe medicine and improving global health through public standards and related programs. Your role will involve utilizing exploratory data analysis to identify anomalies, patterns, and test hypotheses, applying machine learning techniques for classification and regression tasks, using natural language processing to extract information and enhance business workflows, and effectively communicating results to diverse audiences. The ideal candidate for this role will have a Bachelor's degree in a relevant field or equivalent experience, along with 5-7 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing for a Senior Data Scientist position, or 8-10 years for a Lead Data Scientist position. Technical proficiency in Python and related packages, as well as SQL, is required, along with experience in CNN/RNN models, data extraction, and scraping. Additional desired preferences include a Master's degree, experience in scientific chemistry or life sciences, proficiency in GenAI concepts with graph data, and the ability to translate stakeholder needs into technical project outputs. USP offers a comprehensive benefits package to ensure the personal and financial well-being of its employees and their families. If you are a self-directed individual with strong communication skills, the ability to handle multiple projects simultaneously, and make tough decisions when necessary, this role at USP may be the perfect fit for you.,

As a Speech Architect, you will play a crucial role in leading the development of cutting-edge speech recognition and processing systems, with a specific focus on tasks such as speaker diarization, automatic speech recognition (ASR), sentiment/emotion recognition, and transcription. Your responsibilities will involve guiding a team of engineers and fostering close collaboration with other departments to deliver impactful solutions. You will be tasked with leading and mentoring a team of speech engineers, providing them with technical guidance and ensuring the successful execution of projects. Additionally, you will be responsible for architecting and designing end-to-end speech processing pipelines, from data acquisition to model deployment, with a keen emphasis on scalability, efficiency, and maintainability. In your role, you will develop and implement advanced machine learning models for speech recognition and speaker diarization, leveraging state-of-the-art techniques like deep learning, transfer learning, and ensemble methods. Moreover, you will engage in research activities to explore new methodologies and tools within the speech processing domain, with a focus on publishing findings and presenting at industry conferences. Continuously monitoring and optimizing system performance will be a key aspect of your responsibilities, with a particular emphasis on enhancing accuracy, reducing latency, and optimizing resource utilization. Collaboration with product management, data science, and software engineering teams will also be essential in defining project requirements and delivering innovative solutions. Your interactions with customers will involve understanding their unique needs and providing tailored speech solutions, as well as troubleshooting and optimizing deployed systems. Establishing and enforcing best practices for code quality, documentation, and model management within the team will also be a critical part of your role. Qualified candidates for this position should hold a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field, along with at least 5 years of experience in speech processing, machine learning, and model deployment. Proficiency in speech processing frameworks like Wave2vec, Kaldi, HTK, DeepSpeech, and Whisper, as well as experience with NLP, STT, Speech to Speech LLMs, and frameworks like Nvidia NEMO and PyAnnote, is required. Additionally, expertise in Python and machine learning libraries such as TensorFlow, PyTorch, or Keras, along with experience in large-scale ASR systems, speaker recognition, and diarization algorithms, is essential. A strong understanding of neural networks, sequence-to-sequence models, transformers, attention mechanisms, as well as familiarity with NLP techniques and their integration into speech systems, is highly beneficial. Soft skills such as excellent leadership, project management, and communication skills are also necessary for this role. Preferred qualifications include experience with low-latency streaming ASR systems, knowledge of speech synthesis, STT, and TTS systems, as well as experience in multilingual and low-resource speech processing.,

We are seeking an enthusiastic RPA & Intelligent Automation professional to join our newly founded CoE at Booking.com. Your role will involve supporting the rapidly growing portfolio of automation projects and making a significant impact across all business areas. As a valuable member of our team, you will operate with a high degree of autonomy and entrepreneurial spirit, acting as a service provider for the entire company. In this role, you will be responsible for driving efficiencies and seeking accountability both from yourself and others. Collaboration and a sense of comradery are essential qualities we are looking for in our ideal candidate. You should be willing to be cross-functional, continuously learn new skills, and strive for continuous improvement and high quality in your work. A strong work ethic, positive attitude, and a passion for solving real-world problems through technology are key attributes we value. To excel in this position, you should have 2-3 years of experience in developing with Blue Prism and hold a degree in CS, Engineering, or a related field. Blue Prism certification is a mandatory requirement for this role. Proficiency in core Python libraries such as pandas and NumPy, as well as familiarity with AI/ML frameworks like Tensorflow and PyTorch, are highly preferred. Knowledge of NLP techniques like text summarization, sentiment analysis, and Named Entity Recognition would be advantageous. Additionally, experience with AWS components such as RDS, EC2, S3, IAM, CloudWatch, Lambda, Sagemaker, and VPC is beneficial. Familiarity with tools like VAULT, PASSPORT, and Gitlab for UAM/Config Management, as well as exposure to Terraform for deploying AWS services, would be a plus. Professional experience with SQL, .NET, C#, HTTP APIs, and Web Services is required. Previous experience in designing, developing, deploying, and maintaining software, along with working in a scrum/agile environment, is desirable. Excellent communication skills in English are essential for this role. If you are a motivated and skilled professional looking to make a difference in the field of RPA and Intelligent Automation, we encourage you to apply for this exciting opportunity at Booking.com.,

You will join our digital transformation team as a CDP & Marketing Analytics Specialist, bringing your expertise in Customer Data Platforms (CDPs) and customer data management to drive data-driven decision-making and hyper-personalized marketing strategies at scale. Your responsibilities will include designing and implementing end-to-end customer data ingestion strategies, building real-time data pipelines, and developing AI/ML-driven customer segmentation models. Additionally, you will perform advanced analytics tasks such as CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. Your role will involve designing composable CDPs using modern data platforms, deploying predictive models for automated customer service chatbots and content personalization, and implementing real-time decisioning engines for dynamic campaign execution. Collaboration with cross-functional teams and continuous monitoring and tuning of models and pipelines for optimal performance will be essential. To qualify for this role, you should hold a Bachelor's or Master's degree in computer science, Data Science, Marketing Analytics, or a related field with at least 5 years of experience in CDP implementation and marketing analytics. Proficiency in Python, SQL, and ML frameworks, as well as experience with tools like Azure Data Factory, Databricks, and Snowflake, are required. Exposure to MLOps practices, NLP techniques, and campaign attribution models will be beneficial. Preferred skills include prior experience in B2C/D2C industries such as retail, travel & hospitality, or e-commerce. If you have experience with tools like Hightouch, Segment, mParticle, or Salesforce CDP, proficiency in Python, SQL, and AI/ML frameworks, experience with Azure Data Factory, Databricks, Synapse, and Snowflake, and deploying GenAI applications, you are encouraged to apply. This is a full-time, permanent position requiring in-person work and offering the opportunity to leverage your expertise in CDPs and marketing analytics to drive impactful digital transformations.,