6303 Retrieval Jobs - Page 28

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. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 7+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Overview As an SDE / ML Engineer, you will be responsible for designing, developing, and maintaining scalable pipelines and infrastructure for machine learning models, ensuring high performance, reliability, and efficient deployment. You will work closely with a team of senior engineers to optimize systems, implement robust engineering practices, and contribute to the evolution of our ML and AI infrastructure through scalable software solutions. This position is for immediate joinees only. Key Responsibilities ML Engineering Translating working models into scalable ML pipeline solutions. Maintaining, deploying, and optimizing machine learning pipelines for production environments. Participate in the operational lifecycle of ML systems, including feature engineering support, performance benchmarking, monitoring, and seamless deployment. Tuning pipelines and infrastructure for efficiency, scalability, and low-latency operations. Collaborate with team members to integrate ML models into high-throughput data pipelines and distributed workflows, focusing on code quality, system reliability, and maintainability. Data Engineering Building and maintaining robust, scalable, and high-performance modelling pipelines that handle large-scale data processing. Cleaning, aggregating, & preprocessing data from diverse sources with an emphasis on efficient, parallelizable code. Optimize data retrieval, storage, and processing for speed and resource efficiency in distributed systems. Collaborate with the team on the development and maintenance of large-scale database systems, ensuring fault-tolerance and high availability. Qualifications Bachelor’s degree with 3-5 years of experience or Master’s degree with 2-4 years of experience in Computer Science, Software Engineering, or a related field. Excellent understanding of data structures, algorithms, and software engineering principles, with a proven track record of writing clean, efficient, and maintainable code. Strong command over programming languages, especially Python and Java. Experience with distributed systems and orchestration frameworks such as Kafka for streaming data and Kubernetes for container management. Knowledge of SQL and hands-on experience with large-scale databases and distributed systems (e.g., BigTable, Spark, Hive). Strong problem-solving skills, ability to optimize for performance and scale, and quick learning aptitude. Excellent communication and teamwork skills. About Us Minivet.ai is a small AI products and services firm providing on-prem AI solutions tailored to clients in India and across the world. We take pride in our innovation, and in our ability to empower businesses to address their unique challenges. We collaborate closely with each client, ensuring that every AI solution is a pivotal business advantage to them. This role is a full-time position and is for people living in Bengaluru, India. Application Process Please send your resume as a PDF to jobs@minivet.ai with the subject “SDEJUL25” and the following fields in the message: “Name”, “Highest Qualification”, “Year of completion”, “Phone Number”, “Earliest Joining Date”, “Reason” why you think you are a good fit. If you have less than 2 years of experience, we will be opening up a different position, please DO NOT apply . Applications will be scanned by software and hence applications not meeting the format requirements will not be considered.

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. We are seeking AI Backend Engineers to play a pivotal role in building our Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and machine learning to create robust, scalable AI-powered systems using AWS Kubernetes, Amazon Bedrock models, AWS Strands Framework, and LangChain / LangGraph. Understanding of and expertise in: Design and implement core backend services and APIs for agentic framework and RAG systems LLM-based applications using Amazon Bedrock models RAG systems with advanced retrieval mechanisms and vector database integration Implement agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph Design and develop microservices that efficiently integrate AI capabilities Create scalable data processing pipelines for training data and document ingestion Optimize model performance, inference latency, and overall system efficiency Implement evaluation metrics and monitoring for AI components Write clean, maintainable, and well-tested code with comprehensive documentation Collaborate with multiple cross-functional team members including DevOps, product, and frontend engineers Stay current with the latest advancements in LLMs and AI agent architectures Minimum Experience Requirements 6+ years of total software engineering experience Backend development experience with strong Python programming skills Experience in ML/AI engineering, particularly with LLMs and generative AI applications Experience with microservices architecture, API design, and asynchronous programming Demonstrated experience building RAG systems and working with vector databases LangChain/LangGraph or similar LLM orchestration frameworks Strong knowledge of AWS services, particularly Bedrock, Lambda, and container services Experience with containerization technologies and Kubernetes Understanding of ML model deployment, serving, and monitoring in production environments Knowledge of prompt engineering and LLM fine-tuning techniques Excellent problem-solving abilities and system design skills Strong communication skills and ability to explain complex technical concepts Experience in Kubernetes, AWS Serverless Experience in working with Databases (SQL, NoSQL) and data structures Ability to learn new technologies quickly Preferred Qualifications: Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track Must have familiarity with streaming architectures and real-time data processing Must have experience with ML experiment tracking and model versioning Must have understanding of ML/AI ethics and responsible AI development Experience with AWS Strands Framework Knowledge of semantic search and embedding models Contributions to open-source ML/AI projects We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. ‘Transform the everyday' , #SWSaaS

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. We are seeking Backend Engineers to play a pivotal role in building our Data & AI services Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and AI knowledge and skills to create robust, scalable Data & AI services using AWS Kubernetes, Amazon Bedrock models. Expertise and understanding in: Backend development experience with strong Java programming skills along with basic Python programming knowledge Design and develop microservices with Java spring boot that efficiently integrate AI capabilities Experience with microservices architecture, API design, and asynchronous programming Experience in working with Databases (SQL, NoSQL) and data structures Solid understanding of AWS services, particularly Bedrock, Lambda, and container services Experience with containerization technologies, Kubernetes and AWS serverless Understanding of RAG systems with advanced retrieval mechanisms and vector database integration Understanding of agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph Build scalable data processing pipelines for training data and document ingestion Write clean, maintainable, and well-tested code with comprehensive documentation Collaborate with multiple cross-functional team members including DevOps, product, and frontend engineers Stay current with the latest advancements in Data, LLMs and AI agent architectures Minimum Experience Requirements 4+ years of total software engineering experience Understanding building RAG systems and working with vector databases ML/AI engineering, particularly with LLMs and generative AI applications Awareness about LangChain/LangGraph or similar LLM orchestration frameworks Understanding of ML model deployment, serving, and supervising in production environments Knowledge of timely engineering Excellent problem-solving abilities and system design skills Strong communication skills and ability to explain complex technical concepts Ability to learn new technologies quickly Preferred Qualifications: Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track Must have familiarity with streaming architectures and real-time data processing Must have developed, delivered and operated microservices on AWS Understanding of ML/AI ethics and responsible AI development Knowledge of semantic search and embedding models We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. ‘Transform the every day ' , #SWSaaS

5 - 7 Years 2 Openings Trivandrum Role description Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions. Outcomes: Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development maintenance and performance using design patterns and reusing proven solutions.rnInterpret requirements to create optimal architecture and design developing solutions in accordance with specifications. Document and communicate milestones/stages for end-to-end delivery. Code adhering to best coding standards debug and test solutions to deliver best-in-class quality. Perform performance tuning of code and align it with the appropriate infrastructure to optimize efficiency. Validate results with user representatives integrating the overall solution seamlessly. Develop and manage data storage solutions including relational databases NoSQL databases and data lakes. Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools. Influence and improve customer satisfaction through effective data solutions. Measures of Outcomes: Adherence to engineering processes and standards Adherence to schedule / timelines Adhere to SLAs where applicable # of defects post delivery # of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Completion of applicable technical/domain certifications Completion of all mandatory training requirements Efficiency improvements in data pipelines (e.g. reduced resource consumption faster run times). Average time to detect respond to and resolve pipeline failures or data issues. Number of data security incidents or compliance breaches. Outputs Expected: Code Development: Develop data processing code independently ensuring it meets performance and scalability requirements. Define coding standards templates and checklists. Review code for team members and peers. Documentation: Create and review templates checklists guidelines and standards for design processes and development. Create and review deliverable documents including design documents architecture documents infrastructure costing business requirements source-target mappings test cases and results. Configuration: Define and govern the configuration management plan. Ensure compliance within the team. Testing: Review and create unit test cases scenarios and execution plans. Review the test plan and test strategy developed by the testing team. Provide clarifications and support to the testing team as needed. Domain Relevance: Advise data engineers on the design and development of features and components demonstrating a deeper understanding of business needs. Learn about customer domains to identify opportunities for value addition. Complete relevant domain certifications to enhance expertise. Project Management: Manage the delivery of modules effectively. Defect Management: Perform root cause analysis (RCA) and mitigation of defects. Identify defect trends and take proactive measures to improve quality. Estimation: Create and provide input for effort and size estimation for projects. Knowledge Management: Consume and contribute to project-related documents SharePoint libraries and client universities. Review reusable documents created by the team. Release Management: Execute and monitor the release process to ensure smooth transitions. Design Contribution: Contribute to the creation of high-level design (HLD) low-level design (LLD) and system architecture for applications business components and data models. Customer Interface: Clarify requirements and provide guidance to the development team. Present design options to customers and conduct product demonstrations. Team Management: Set FAST goals and provide constructive feedback. Understand team members' aspirations and provide guidance and opportunities for growth. Ensure team engagement in projects and initiatives. Certifications: Obtain relevant domain and technology certifications to stay competitive and informed. Skill Examples: Proficiency in SQL Python or other programming languages used for data manipulation. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery). Conduct tests on data pipelines and evaluate results against data quality and performance specifications. Experience in performance tuning of data processes. Expertise in designing and optimizing data warehouses for cost efficiency. Ability to apply and optimize data models for efficient storage retrieval and processing of large datasets. Capacity to clearly explain and communicate design and development aspects to customers. Ability to estimate time and resource requirements for developing and debugging features or components. Knowledge Examples: Knowledge Examples Knowledge of various ETL services offered by cloud providers including Apache PySpark AWS Glue GCP DataProc/DataFlow Azure ADF and ADLF. Proficiency in SQL for analytics including windowing functions. Understanding of data schemas and models relevant to various business contexts. Familiarity with domain-related data and its implications. Expertise in data warehousing optimization techniques. Knowledge of data security concepts and best practices. Familiarity with design patterns and frameworks in data engineering. Additional Comments: Data Engineering Role Summary: Skilled Data Engineer with strong Python programming skills and experience in building scalable data pipelines across cloud environments. The candidate should have a good understanding of ML pipelines and basic exposure to GenAI solutioning. This role will support large-scale AI/ML and GenAI initiatives by ensuring high-quality, contextual, and real-time data availability. ________________________________________ Key Responsibilities: • Design, build, and maintain robust, scalable ETL/ELT data pipelines in AWS/Azure environments. • Develop and optimize data workflows using PySpark, SQL, and Airflow. • Work closely with AI/ML teams to support training pipelines and GenAI solution deployments. • Integrate data with vector databases like ChromaDB or Pinecone for RAG-based pipelines. • Collaborate with solution architects and GenAI leads to ensure reliable, real-time data availability for agentic AI and automation solutions. • Support data quality, validation, and profiling processes. ________________________________________ Key Skills & Technology Areas: • Programming & Data Processing: Python (4–6 years), PySpark, Pandas, NumPy • Data Engineering & Pipelines: Apache Airflow, AWS Glue, Azure Data Factory, Databricks • Cloud Platforms: AWS (S3, Lambda, Glue), Azure (ADF, Synapse), GCP (optional) • Databases: SQL/NoSQL, Postgres, DynamoDB, Vector databases (ChromaDB, Pinecone) – preferred • ML/GenAI Exposure (basic): Hands-on with Pandas, scikit-learn, knowledge of RAG pipelines and GenAI concepts • Data Modeling: Star/Snowflake schema, data normalization, dimensional modeling • Version Control & CI/CD: Git, Jenkins, or similar tools for pipeline deployment ________________________________________ Other Requirements: • Strong problem-solving and analytical skills • Flexible to work on fast-paced and cross-functional priorities • Experience collaborating with AI/ML or GenAI teams is a plus • Good communication and a collaborative, team-first mindset • Experience in Telecom, E- Commerce, or Enterprise IT Operations is a plus. Skills ETL,BIGDATA,PYSPARK,SQL About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation .- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. -Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI .(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)-Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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. AI Engineer Role Overview: We are seeking a highly skilled and experienced AI Engineers with a minimum of 2 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Your technical responsibilities: Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Design, develop, and maintain efficient, reusable, and reliable Python code Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Write unit tests and conduct code reviews to ensure high-quality, bug-free software. Troubleshoot and debug applications to optimize performance and fix issues. Work with databases (SQL, NoSQL) and integrate third-party APIs. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 2 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Summary: We are seeking a detail-oriented and organized individual to manage pest control documentation, report creation, and photo record-keeping. This role is essential in maintaining accurate, Monthly, Quarterly & compliant records of pest control activities and supporting operational and audit needs. Key Responsibilities: Maintain detailed records of pest control inspections, treatments and monthly service reports. Collect and organize photographic evidence of pest control activities for documentation and compliance Clear documentation of pesticide usage. Create and submit clear, timely reports to management, Clients and regulatory authorities Coordinate with pest control technicians to gather accurate data and images from the field Ensure documentation (including photos) complies with company and legal standards Assist during audits or inspections by preparing and presenting relevant records Organize both digital and physical files for efficient storage and retrieval, includes software uploads. Qualifications: Preferred Science graduate with good communication and time-management skills Prior experience in documentation, reporting, or administrative roles (pest control industry experience preferred) Capacity to adhere to deadlines Familiarity with handling image files for documentation Strong attention to detail and ability to maintain organized records Proficiency in MS Office (Word, Excel) and basic data entry or reporting software Ability to work independently and collaborate with field teams Job Type: Full-time Pay: ₹8,342.60 - ₹41,017.70 per month Work Location: In person

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. Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Quantum Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 14+ years of experience in Data Science and Machine Learning. Working knowledge of Quantum Engineering Quantum Machine Learning (Data encoding, HHL Algorithm implementation, Quantum linear regression, Euclidean Distance calculations, K-Means clustering, PCA, SVM implementation using Qiskit) Quantum Algorithms (Qiskit, Deutsch Jozsa, Bernstein Vajirani, Simon’s Algorithms) Quantum Deep Learning (Hybrid Quantum Neural Networks) Open-source Quantum Frameworks Qiskit based programming Quantum Optimization (Variational Quantum Eigensolver, Expectation Computation, VQE algorithm, Max-cut graph clustering, Adiabatic Theorem, Approximate Optimization Algorithm, etc) Python as a Programming Language EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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. Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job description Executive - Front Office - Dilsuknagar To provide Quality patient service and maintain good patient relationship Maintaining the TAT in registration process Case sheet management: - Maintenance and easy retrieval of case sheet - Regular online updating of case sheet Giving correct time-slot for the patients and dispatch of reports without delay Coordination in Patient - Doctors query management Updating of visiting consultant data Managing and handling patient issues and escalation to the reporting authority Telephone etiquette 100 % conversion in enquiries ( Webmail, Knowlarity, I/g calls), DFC calls for review patients Provide quality knowledge about the service, Promotion of packages and home care facility Quality parameters followed as per SOP's Error free registration Collection of feedback forms No. of positive patients comments - C-Sat, D-Sat, arranging for hospital tour. Job Type: Full-time Benefits: Health insurance Life insurance Provident Fund Schedule: Morning shift Education: Bachelor's (Preferred) Experience:0-5 Years Front office: 1 year (Preferred) *Speak with the employer* +91 7550288193 Language: English with Telugu (Preferred) Job Types: Full-time, Permanent Benefits: Health insurance Provident Fund Schedule: Morning shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Language: Telugu (Preferred) Ability to Commute: Work Location: In person *Speak with the employer* +91 7550288193 Job Types: Full-time, Permanent Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Work Location: In person Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Work Location: In person

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Analyst – AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a Senior Analyst –- AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Google’s Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills Relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 2-3 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Stock Management : Ensure proper stock rotation by adhering to First In, First Out (FIFO) or First Order, First Out (FOFO) systems. Inventory Accuracy : Regularly update stock cycle counts and reconcile book stock values with physical stock. Bin Card Maintenance : Keep accurate records of stock levels in designated bins. Staff Supervision : Oversee warehouse staff, ensuring efficiency, safety, and productivity. Warehouse Safety & Cleanliness : Regularly inspect the warehouse for safety hazards and ensure cleanliness standards are met. Stock Procurement & Vendor Relations : Manage stock purchases based on inventory needs and negotiate favorable terms with suppliers. Stock Transfer Process : Follow management procedures during stock transfers from the warehouse to retail stores and ensure stock accuracy. Inventory Management Systems : Utilize technical knowledge for managing inventory systems and software as well as capable to generate reports regarding items purchase based on seasonal or monthly demand trends. Dead Stock Identification & Clearance : Identify and prevent accumulation of dead stock, and initiate clearance processes as necessary. Quality Control : Identify defective or damaged stock and manage replacements with suppliers or manufacturers. Order Fulfillment : Ensure timely and accurate order processing and dispatch. Warehouse Layout Optimization : Improve warehouse layout to enhance storage and retrieval efficiency. Compliance & Documentation : Ensure compliance with company policies, industry regulations, and maintain accurate records of transactions and stock movements. Training & Development : Provide ongoing training to staff on warehouse management best practices and safety standards. Job Types: Full-time, Permanent Pay: ₹250,000.00 - ₹320,000.00 per year Application Question(s): Are you experienced in inventory control practices, including FIFO (First In, First Out), stock reconciliation, dead stock clearance as well as bin card implementation? Are you confident in managing vendor relationships, including purchase negotiations and seasonal stock planning? Must be proficient in MS Excel, including both basic and advanced features such as VLOOKUP, Pivot Tables, etc., or be a quick learner willing to master them rapidly. Are you able and willing to relocate to or commute daily to Bhubaneswar? The annual compensation for this role is from 2.5 lpa to 3.2 lakhs per annum.Please do not apply if your salary expectations exceed this range. Are you comfortable with this compensation? Please apply only if you meet the above criteria. References from previous employers may be requested during the hiring process. Experience: Microsoft Excel: 5 years (Required) Warehouse management: 5 years (Required) Work Location: In person Application Deadline: 28/07/2025

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. Digital Engineering Senior 1-2– Consulting EY GDS Consulting digital, is looking out for experienced web content management expert, especially on Microsoft Office365. Resource will be part of Enterprise Content Management team delivering to clients across regions. The opportunity We are seeking skilled professionals with expertise in .NET, custom SharePoint development, and Retrieval-Augmented Generation (RAG) implementation to join our Digital Engineering Consulting team. This role offers a unique opportunity to contribute to innovative technology solutions within a leading firm, playing a key role in expanding our digital service capabilities. Your key responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes 4-6 years of professional experience SharePoint Development: SPFx, PnP Framework, PowerShell, SharePoint Online (Intranet/Extranet architecture). .NET Technologies: C#, ASP.NET MVC. Client-Side Development: JavaScript, TypeScript, React JS, AngularJS, Fluent UI, Knockout JS, HTML5, CSS, Ajax, JSON, jQuery. API Integration: REST, SOAP, authentication (OAuth, OpenID Connect). Python: Experience in building RAG (Retrieval-Augmented Generation) solutions.Core Skills: Desirable Skills: (good to have) AI Builder: Custom AI models, integration with Power Platform Microsoft 365 Copilot: Integration with M365 apps Azure DevOps: CI/CD, source control Microsoft Teams: App development, integration Passion for the web, open source development, and for helping us build meaningful experiences. Experience in consulting strongly preferred. Strong problem-solving abilities, taking initiative, and the ability to thrive under pressure. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. Respond positively to opportunities to be involved in brainstorming and iterative work. Handle times of change in a way that drives innovation and iteration. Work in collaborative and supportive manner. Listen carefully to provided information and ask clarifying questions. Actively listen as a learner rather than a passive recipient of information. Bachelor's or Master's degree in Computer Science or related discipline preferred. Soft Skills Excellent Communication Skills Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent presentation skills Ability to work with globally distributed teams To qualify for the role, you must have A bachelor's or master's degree A minimum of4+ years of experience, preferably background in a professional services firm. Strong knowledge of SharePoint 2016/2019/o365 Strong knowledge of SharePoint Framework (SPFx) Strong knowledge of TypeScript, React JS, AngularJS & Fluent UI. Strong knowledge of PowerShell & PnP. Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Join our “Digital Service Lab” at DHL Global Forwarding, Freight (DGFF) GSC – Global Service Centre! Job Title: Expert, Data Scientist - Digital Service Lab Job Location: India – Chennai Business Area: GSC, DGFF Department: DSL Grade: L Are you dynamic and results-oriented with a passion for logistics? Join our high-performing Global Shared Services Team (GSC) at DHL Global Forwarding, Freight (DGFF); a Great Place to Work certified organization and one of the “Top 20 most admired Shared Services Organizations in 2022” by the independent global Shared Services & Outsourcing Network (SSON). We are the captive Shared Service Provider for DHL Global Forwarding and DHL Freight (DGFF). We are an organization of more than 4,600 colleagues complemented by approximately 500 virtual FTE (i.e., bots applied in process automation). Our colleagues are based across six service delivery centers in Mumbai, Chennai, Chengdu, Manila, Bogota & Budapest. You will interact with people from all over the world and get the chance to a truly international organization. As an Expert Data Scientist at DSL, the role will lead data analysis and modelling initiatives, collaborating with cross-functional teams to derive actionable insights and drive decision-making processes. With advanced expertise in machine learning and statistical analysis, the role will be key in translating complex data into strategic recommendations to support DSL's objectives and foster innovation. Key Responsibilities: Data Analysis & Model Development: Design, develop, and implement machine learning models to solve business problems. Conduct data preprocessing, feature engineering, and exploratory data analysis to derive meaningful insights. Validate and fine-tune models to ensure accuracy and efficiency. Generative AI & RAG Implementation: Develop and deploy generative AI models to improve automation and decision-making processes. Apply Retrieval-Augmented Generation (RAG) techniques to enhance information retrieval and response generation. Research and experiment with state-of-the-art generative AI methodologies to drive innovation. Business Insight & Reporting: Translate complex data findings into actionable business insights. Develop dashboards, visualizations, and reports to effectively communicate data-driven insights to stakeholders. Collaborate with business units to identify opportunities for leveraging data to drive strategic decisions. Collaboration & Cross-Functional Support: Work closely with data engineers, product managers, and business stakeholders to gather requirements and deliver solutions. Participate in team meetings to discuss project progress, challenges, and innovative ideas. Support senior data scientists in large-scale projects and contribute to the development of best practices. Continuous Learning & Innovation: Stay updated with the latest trends in data science, machine learning, and AI. Experiment with new algorithms and technologies to enhance existing models and solutions. Participate in knowledge-sharing sessions within the team and organization. Data Governance & Best Practices: Ensure data integrity, security, and compliance with company policies. Maintain clear documentation of models, methodologies, and workflows. Promote best practices in coding, data management, and model deployment Required Skills/Abilities: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 2-3 years of professional experience in data science, machine learning, or AI roles. Proficiency in Python or R, and data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Strong knowledge of SQL and experience with relational and non-relational databases. Strong knowledge of generative AI models and hands-on experience with implementing Retrieval-Augmented Generation (RAG) concepts. Basic understanding of version control (Git) and CI/CD pipelines. Experience with data visualization tools like Power BI, Tableau, or matplotlib. Strong analytical and problem-solving skills with a data-driven mindset. Ability to communicate complex technical concepts to non-technical stakeholders. Team player with strong collaboration and interpersonal skills. Eagerness to learn new technologies and contribute to innovative projects. Familiarity with APIs and system integrations for data processing. Understanding of ethical AI practices and data privacy considerations. Join our team at DHL Global Forwarding, Freight (DGFF), Shared Services (GSC), a Great Place to Work certified organization and as a part of a forwarding division, proud recipient of multiple prestigious awards, including Top Employer in India, Top Employer Asia Pacific, and Top Employer Global. Apply now and embark on an exciting journey with us! We offer: We recognize and reward your hard work through a competitive compensation and performance-based incentive. We empower you to learn and grow through training that gives you the knowledge, skills, and abilities to develop into your role and a great range of resources to support your future career aspirations & personal development. Flexible work arrangements to support work/life balance. Generous paid time off: Privilege (earned leave). Comprehensive medical insurance coverage including voluntary parental cover (applicable for IN only) Recognition & Engagement culture By joining one of the world's leading logistics companies, you have a chance to explore a wide range of interesting job challenges and opportunities across our GSC service lines and in our different divisions around the globe. The largest global network with over 35,000 passionate employees. The most efficient processes and fastest response times. The best solutions and customer service.

* Develop AI and ML models focused on natural language understanding, intent detection, and smart response generation. * Work with Large Language Models (LLMs), including techniques like Retrieval-Augmented Generation (RAG), to build knowledge-based AI systems. * Collaborate with engineering and product teams to integrate AI solutions into real-world applications and platforms. * Continuously test, refine, and optimize models for accuracy, performance, and scalability. * Write clean, maintainable code and adhere to AI development best practices while contributing to team documentation. Job Type: Full-time Pay: ₹14,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Food provided Health insurance Paid sick time Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Total: 1 year (Preferred) AI Developer: 1 year (Preferred) Work Location: In person

The Ops Sup Analyst 1 is an entry-level position responsible for providing operations support services, including but not limited to; record/documentation maintenance, storage & retrieval of records, account maintenance, imaging and the opening of accounts in coordination with the Operations - Core Team. Additionally, the Ops Sup Analyst 1 serves as the liaison between operations staff, relationship managers, project managers, custodians and clients. The overall objective of this role is to provide day-to-day operations support in alignment with Citi operations support infrastructure and processes. Responsibilities: Perform business analysis and documentation of the current and future state of Client Reports and Advices (client communication letters, notices, and confirms) Provide regular status updates for all project participants and create presentations for steering committee updates Work with various Legal & Compliance teams to obtain sign-off on all regulatory business requirements Serve as primary liaison between the key business stakeholder and technology, including recommending business priorities by advising stakeholders on options, risks, costs, prioritizations, and delivery timelines Recommend business priorities by advising stakeholders on options, risks, costs, prioritizations, and delivery timelines Create and facilitate training sessions, webcast demos and write User Acceptance Test scripts and business scenarios against specified requirements Create, manage and maintain project plans and act as the project manager for all follow ups across various departments Work on multiple projects in parallel focusing on continued delivery of regulatory client deliverables, such as legal statements/performance reporting/advices/letters/notices Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics. 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. Qualifications: Previous relevant experience preferred Proficient in Microsoft Office General knowledge of client reporting across the industry and our competitors Working knowledge of SQL environments and database queries Proven organization and time management skills Demonstrated problem-solving and decision-making skills Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Operations - Core - Job Family: Operations Support - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Summary The HRIS Specialist is responsible for the development, implementation, and maintenance of human resource information systems (HRIS) to streamline the collection, retrieval, accessibility, and usage of employee data. This role supports the Human Resources department in planning and executing various HR activities and serves as a key liaison between HR and IT/MIS team Job Requirements HRIS Development & Maintenance Design, develop, and implement custom HRIS solutions to meet evolving HR department needs. Maintain internal database files/tables and develop detailed custom reports in collaboration with HR teams. System Evaluation & Enhancement Work closely with HR personnel to assess software and hardware needs. Modify existing HRIS or design new systems to accommodate changing HR demands. Collaboration & Coordination Partner with payroll teams to ensure accurate retrieval and reporting of HR data. Act as a liaison between HR and IT/MIS functions ensuring seamless communication and project alignment. Problem-Solving & Project Management Tackle non-routine, unstructured tasks with creative solutions. Demonstrate strong project and time management skills, managing multiple tasks in a fast-paced, time-sensitive environment. Education Experience & Education: Minimum of 5 years of related experience with a Bachelor’s degree; OR 3 years with a Master’s degree; OR a PhD without experience; OR equivalent work experience. Technical & HR Expertise: Strong understanding of HR processes, eligibility and enrolment rules, and benefit procedures. Familiarity with HRMS database design, structure, functions, and processes. Demonstrated experience with database tools and a strong command of MS Office, including Word, Excel, HRIS systems, and Access. Communication & Interpersonal Skills: Excellent written and verbal communication skills. Proven ability to build strong relationships across all organizational levels, including remote teams. Attention to Detail & Organizational Skills: Exceptional planning, organizational skills, and acute attention to detail. Ability to manage multiple tasks effectively in a dynamic environment. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk.

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. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 7+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 2+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: HR Executive – Asset Management Department: Human Resources Location: Indore About Creativefuel: Creativefuel is a new-age content and creative agency built for the digital-first world. With a powerhouse team of over 300 professionals across our Indore and Mumbai offices, we specialize in crafting impactful stories, campaigns, and digital experiences that move culture. From powering some of India’s most viral digital campaigns to managing a vast ecosystem of influential digital IPs and creators, Creativefuel is redefining what it means to be a content-first agency in today’s fast-paced digital world. Our strength lies in understanding audiences deeply, delivering thumb-stopping content, and building internet-breaking moments for brands that want to stand out. Whether it’s meme marketing, branded storytelling, creator collaborations, or social media innovation — if it’s online, we’re already one step ahead. About Role To maintain complete control and accountability of all physical and digital company assets, from allocation to retrieval, ensuring accurate tracking, minimal risk, and smooth coordination with IT, Finance, and HR teams. The role is central to operational efficiency and audit compliance. Key Responsibility Areas (KRAs): 1. Asset Allocation & Recovery Maintain an updated master tracker of all employee-assigned assets (laptops, phones, access cards, etc.) Coordinate smooth issuance during onboarding and timely recovery during exits Ensure proper documentation and sign-offs during both processes 2. Physical Verification & Audits Conduct quarterly physical audits of office assets Reconcile physical stock vs. digital records Flag discrepancies and follow up with departments or employees 3. Vendor & Repair Coordination Liaise with external vendors for repairs, replacements, and upgrades Keep accurate logs of items under maintenance or in circulation 4. Asset Health & Lifecycle Management Monitor the lifecycle of company assets, highlighting when assets are outdated, underperforming, or due for replacement Support the procurement team in forecasting new requirements 5. Policy Enforcement & Compliance Maintain an “Asset Usage & Care” policy and educate employees on dos and don'ts Raise alerts for repeated damage/loss from individuals and ensure accountability Support audit readiness and insurance claims with documented trails 6. Coordination with Finance for New Purchases Collect department-wise hardware/software requirements ahead of time. Coordinate with the Finance team for budget approval, procurement, and vendor management. Maintain a tracker of purchase history, per-unit costs, and procurement timelines. Ensure no last-minute escalation by proactively forecasting asset requirements. Key Skills: Attention to detail & accuracy Ownership mindset Systematic tracking & record-keeping Basic knowledge of Excel, Google Sheets, and inventory tools Ability to chase closures politely but firmly What are we looking for: 1–2 Years of Relevant Experience Analytical Thinking Vendor & Cross-team communication Accountability without blame

Use Your Power for Purpose A career with us is about discovering breakthroughs that change patients’ lives. You will be part of bringing those therapies to people all over the world, driving the industry forward, and making a positive difference. Whatever your role, you will discover that amazing things are possible. As a member of the Global Supply division, you will have a direct impact on improving patients' lives while working at Pfizer. Your dedication and commitment will be instrumental in helping Pfizer achieve new milestones and make a significant impact on patients worldwide. What You Will Achieve In this role, you will: Represent your organizational unit on administrative matters, recommending, interpreting, and implementing internal policies and procedures. Perform a variety of administrative tasks across different functional areas to enhance business efficiency. Support services such as event planning, customer service, publications, and technical writing/editing. Actively participate in team process improvements and collaborate by sharing experiences. Manage your time and professional growth, taking accountability for results and prioritizing workflows. Utilize skills and knowledge to complete tasks, understand their relation to other processes, and participate in process improvement teams. Execute digital campaigns promptly, following content plans developed with Marketing and Medical teams, and support special projects and new digital promotion models. Assist marketing teams during campaign execution, monitoring, optimizing, and managing reports, focusing on user experience. Maintain local documentation as required by legislation, including archiving, tracking, and retrieval, and coordinate digital platform management with regional or local support. Provide analytical insights to support functional decisions, monitor performance through KPIs, and ensure compliance with norms, policies, and procedures. Here Is What You Need (Minimum Requirements) High School Diploma or GED with at least 2 years of experience. Experience in Marketing, digital marketing, commercial Strong interpersonal skills Keen eye for detail Ability to manage time and prioritize tasks effectively Experience with administrative tasks and process improvement Ability to work under moderate supervision and follow established procedures Bonus Points If You Have (Preferred Requirements) Ability to solve routine problems and convey issues constructively Understanding of both pharma industry and scientific academic research environments Knowledge of commercial or business analytics processes Ability to make basic decisions with an understanding of the consequences Ability to work collaboratively in a team environment Proficiency in using digital platforms and tools Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Support Services #LI-PFE

Use Your Power for Purpose A career with us is about discovering breakthroughs that change patients’ lives. You will be part of bringing those therapies to people all over the world, driving the industry forward, and making a positive difference. Whatever your role, you will discover that amazing things are possible. As a member of the Global Supply division, you will have a direct impact on improving patients' lives while working at Pfizer. Your dedication and commitment will be instrumental in helping Pfizer achieve new milestones and make a significant impact on patients worldwide. What You Will Achieve In this role, you will: Represent your organizational unit on administrative matters, recommending, interpreting, and implementing internal policies and procedures. Perform a variety of administrative tasks across different functional areas to enhance business efficiency. Support services such as event planning, customer service, publications, and technical writing/editing. Actively participate in team process improvements and collaborate by sharing experiences. Manage your time and professional growth, taking accountability for results and prioritizing workflows. Utilize skills and knowledge to complete tasks, understand their relation to other processes, and participate in process improvement teams. Execute digital campaigns promptly, following content plans developed with Marketing and Medical teams, and support special projects and new digital promotion models. Assist marketing teams during campaign execution, monitoring, optimizing, and managing reports, focusing on user experience. Maintain local documentation as required by legislation, including archiving, tracking, and retrieval, and coordinate digital platform management with regional or local support. Provide analytical insights to support functional decisions, monitor performance through KPIs, and ensure compliance with norms, policies, and procedures. Here Is What You Need (Minimum Requirements) High School Diploma or GED with at least 2 years of experience. Experience in Marketing, digital marketing, commercial Strong interpersonal skills Keen eye for detail Ability to manage time and prioritize tasks effectively Experience with administrative tasks and process improvement Ability to work under moderate supervision and follow established procedures Bonus Points If You Have (Preferred Requirements) Ability to solve routine problems and convey issues constructively Understanding of both pharma industry and scientific academic research environments Knowledge of commercial or business analytics processes Ability to make basic decisions with an understanding of the consequences Ability to work collaboratively in a team environment Proficiency in using digital platforms and tools Work Location Assignment: On Premise Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Support Services #LI-PFE

Job Title: Accounts Manager Location: Thodupuzha, Idukki, Kerala Salary: ₹45,000 – ₹60,000 per month (Based on experience and qualifications) Job Type: Full-time | On-site Job Overview: We are hiring a highly experienced and qualified Accounts Manager with a strong background in financial reporting, compliance, and team management. The ideal candidate will hold a professional qualification such as CMA, ACCA, or CA, or a Bachelor’s/Master’s degree in Commerce, with at least 10 years of relevant experience. The role involves managing a team of 4–5 accounting staff, overseeing daily accounting operations, and ensuring the accuracy and integrity of financial records and documentation. Key Responsibilities: Lead and manage a team of 4–5 accounting staff by delegating tasks, monitoring performance, providing training, and ensuring timely completion of accounting functions. Review, monitor, and ensure accurate data entry, ledger maintenance, and reconciliation of accounts including bank, vendor, and intercompany accounts. Maintain complete accuracy in all spreadsheets, financial sheets, supporting documents, and reports submitted to internal and external stakeholders. Prepare and analyze monthly, quarterly, and annual financial statements in accordance with accounting standards and regulatory requirements. Supervise accounts payable/receivable, inventory control, payroll processing, and expense monitoring. Ensure timely submission of statutory returns and compliance with GST, TDS, Income Tax, PF, and other applicable financial regulations. Establish, implement, and monitor internal controls to protect company assets and ensure data integrity. Coordinate with auditors during internal and external audits and ensure audit readiness of all financial documents and systems. Work closely with the management for budgeting, forecasting, and cash flow planning. Maintain proper documentation, filing, and retrieval systems for all accounting records and ensure readiness for audit or compliance reviews. Generate MIS reports and financial analysis as required by senior management. Qualifications: Professional qualification: CMA, ACCA, CA (fully or partially qualified) OR Educational qualification: Bachelor’s or Master’s degree in Commerce or Accounting Minimum 10 years of experience in accounting and finance, including at least 3 years in a leadership role. Proficient in MS Office, especially Excel Experience with accounting software such as Tally ERP, QuickBooks, or similar. Strong leadership and communication skills with the ability to manage and guide a team effectively. High attention to detail and accuracy in documentation and reporting. Solid understanding of Indian taxation laws, statutory compliance, and financial audits. Benefits: Salary package: ( ₹45,000 – ₹60,000 based on experience and qualification) Total Years Experience: 10 years Opportunities for career advancement Professional and collaborative work environment Schedule: Day Shift Work Person: In Person Job Types: Full-time, Permanent Pay: ₹45,000.00 - ₹60,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Morning shift Work Location: In person