3931 Retrieval Jobs

InnoVites , who are we? InnoVites is one of the world’s leading providers of software solutions for Cable and Wire manufacturing and distribution Industry, transforming cable factories into the smart factories. It feels great to build and deliver software solutions that exactly address customer needs. And that’s exactly what InnoVites is about. We have a laser sharp focus on our target market: the wire and cable industry. With our deep understanding of this vertical we love building software that creates high value for our customers. It has resulted in continuous growth of the company, while we are serving our customers located in over 20 countries worldwide. As our customers benefit from the global energy transition, the future at InnoVites is electrifying! As a team we cherish craftmanship and celebrate team results. Every day we seek opportunities to learn from each other and grow. Together, we can make a difference – and you can too. Dream it. Build it. Do it here. Job Title: Generative AI (GenAI) Solutions Engineer Location: Chennai Type: Full-time / Internship Department: Design / Product About the Role We are looking for a skilled and proactive Generative AI Solutions Engineer with 1–2 years of relevant background in building intelligent applications using Large Language Models (LLMs) , RAG architectures , semantic search , and vector databases . The ideal candidate should also have hands-on experience in AI-powered chatbot development and integration. Strong proficiency in Python , Node.js , and PostgreSQL with PGVector is required. This role is suited for someone passionate about building real-world applications powered by cutting-edge Generative AI technologies. . Key Responsibilities Design and develop intelligent chatbots using LLMs and vector-based retrieval systems. Implement RAG pipelines for combining document retrieval with generative model responses. Build semantic search systems using PGVector and high-dimensional embeddings. Develop solutions to automatically read and interpret emails , extract key content, and trigger workflows. Create tools to scan and understand documents (PDFs, Word files, etc.) using OCR, embeddings, and LLMs. Integrate AI models with backend systems and APIs using Python and Node.js. Optimize performance of AI pipelines and ensure high-quality, context-aware outputs. Document workflows, prompt strategies, and AI integration best practices Qualifications Postgraduate degree in Computer Science, AI/ML, Data Science, or related fields. 1–2 years of experience working with LLMs , semantic embeddings , and RAG architectures . Experience with PGVector and PostgreSQL for vector-based search. Proficiency in Python and Node.js for application and API development. Experience developing chatbots , email automation , or document intelligence tools . Familiarity with OCR tools , document parsing libraries , and AI frameworks like Hugging Face Transformers , LangChain , or FAISS . Bonus Points (Good to Have): Hands-on with email classification , intent detection , or outlook/Gmail API integration Experience using tools like Tesseract OCR , pdfplumber , LangChain agents , or vector indexers Deployment experience on cloud platforms (AWS/GCP/Azure) Exposure to MLOps , containerization (Docker), or conversational UX design Interest or background in enterprise knowledge search , RPA , or process automation Why Join Us? Gain real-world experience working on enterprise-grade applications. Work with a highly experienced team and receive mentorship . Encouragement to self-learn, explore, and innovate in a supportive environment. Opportunity to transition into a full-time role after a successful internship. Flexible and collaborative work culture with room for growth and creativity.

About Medhavi Skills University Medhavi Skills University (MSU) is a government-notified private skills university established under a State Act in Sikkim, dedicated to promoting quality skill education and entrepreneurship integrated with higher education. As a pioneering institution in the convergence of the skilling ecosystem with higher education, MSU aligns with the National Education Policy, 2020 (NEP 2020). Recognized by the UGC and established in 2021, MSU collaborates with industries and Skill Development Institutes to offer work-integrated courses, embedding on-the-job internships and training within the curriculum. MSU is a recognized Awarding Body under the National Council for Vocational Education & Training (NCVET) and is empaneled with the Directorate General of Training (DGT). As an anchor university partner with the National Skill Development Corporation (NSDC) and the Project Management Unit (PMU) of NSDC International, MSU is committed to preparing youth for the future workspace by co- working with industry partners to design and implement demand-driven programs. For more information, visit https://msu.edu.in Role Overview: We are seeking a passionate and experienced Adjunct Faculty member to teach and mentor undergraduate students in the areas of Data Management, Digital Applications, and MIS. The ideal candidate should possess strong academic knowledge and practical industry exposure in database systems, enterprise applications, and data-driven decision-making tools. Key Responsibilities: Deliver engaging lectures, labs, and tutorials on topics including Design and develop mobile applications using native (Kotlin/Swift) or cross-platform frameworks (Flutter/React Native), and Integrate apps with backend services and APIs. Design and assess assignments, practical, and exams aligned with course outcomes. Guide students on projects involving real-world data handling and mobile application. Collaborate with the academic team to update course content as per industry needs. Provide mentorship and support to students in academic and skill development. Stay updated with the latest trends in mobile development technologies. Qualifications & Skills Required: BCA/MSc IT/MCA with Experience in relevant field. Data Collection & Validation: Ensure accurate collection, entry, and validation of institutional or organizational data across departments to maintain data integrity. Database Administration: Manage and maintain databases (SQL, MS Access, etc.), ensuring data security, backup, and efficient retrieval mechanisms. MIS Reporting: Design, develop, and generate regular MIS reports for management, aiding in strategic planning, decision-making, and performance tracking. Digital Application Management: Implement, monitor, and troubleshoot web-based and mobile digital applications used for academic, administrative, or operational workflows. System Integration & Automation: Integrate various data systems (ERP, CRM, LMS, etc.) and automate routine data processing tasks for improved operational efficiency. User Training & Support: Provide technical support and training to staff/users on data systems, dashboards, and digital tools to ensure effective use and adoption. Proven teaching experience or industry background in data systems, MIS, or digital applications. Proficiency in tools like MS Excel, SQL, ERP systems, Power BI, or equivalent platforms. Industry links in the relevant fields What We Offer Being a key player in something potentially massive and world-changing Competitive salary and incentive structure, best in the industry. Opportunities for professional development and growth. A supportive and collaborative work environment. The chance to make a meaningful impact on the careers and lives of working professionals. How to Apply Interested candidates should submit a resume and cover letter detailing their qualifications and experience at careers@msu.edu.in at earliest possible. Medhavi Skills University is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Qualification - MBBS, MS (OBGYN) / DGO / MD, DNB WITH FELLOWSHIP IN REPRODUCTIVE MEDICINE / CLINICAL ART Experience - MIN 3 years POST FELLOWSHIP IN REPRODUCTIVE MEDICINE / ART SHOULD HAVE RECORD OF OPU, EMBYO TRANSFERS MINIMUM 20 AS PER ART REGULATION ACT 2021. Salary - Negotiable. Job role - Exp. in treating Infertility patients, Oocyte Retrieval, Embryo Transfers, Pelvic Sonography, FOLLICLE MONITORING, HYSTEROSCOPY, Early pregnancy sonography. Required Experience MIN 3 Years, Salary Not Disclosed, Industry Health Care, Medical Qualification MD / Medicine Doctor, MS / Master of Surgery, DNB, ART Key Skills IVF, IVF Specialist, Gynecologist, DGO, MS, DNB Job Type: Full-time Pay: From ₹3,000.00 per day Schedule: Day shift Work Location: In person

The Role Context: This is an exciting opportunity to join a dynamic and growing organization, working at the forefront of technology trends and developments in social impact sector. Wadhwani Center for Government Digital Transformation (WGDT) works with the government ministries and state departments in India with a mission of “ Enabling digital transformation to enhance the impact of government policy, initiatives and programs ”. We are seeking a highly motivated and detail-oriented individual to join our team as a Data Engineer with experience in the designing, constructing, and maintaining the architecture and infrastructure necessary for data generation, storage and processing and contribute to the successful implementation of digital government policies and programs. You will play a key role in developing, robust, scalable, and efficient systems to manage large volumes of data, make it accessible for analysis and decision-making and driving innovation & optimizing operations across various government ministries and state departments in India. Key Responsibilities: a. Data Architecture Design : Design, develop, and maintain scalable data pipelines and infrastructure for ingesting, processing, storing, and analyzing large volumes of data efficiently. This involves understanding business requirements and translating them into technical solutions. b. Data Integration: Integrate data from various sources such as databases, APIs, streaming platforms, and third-party systems. Should ensure the data is collected reliably and efficiently, maintaining data quality and integrity throughout the process as per the Ministries/government data standards. c. Data Modeling: Design and implement data models to organize and structure data for efficient storage and retrieval. They use techniques such as dimensional modeling, normalization, and denormalization depending on the specific requirements of the project. d. Data Pipeline Development/ ETL (Extract, Transform, Load): Develop data pipeline/ETL processes to extract data from source systems, transform it into the desired format, and load it into the target data systems. This involves writing scripts or using ETL tools or building data pipelines to automate the process and ensure data accuracy and consistency. e. Data Quality and Governance: Implement data quality checks and data governance policies to ensure data accuracy, consistency, and compliance with regulations. Should be able to design and track data lineage, data stewardship, metadata management, building business glossary etc. f. Data lakes or Warehousing: Design and maintain data lakes and data warehouse to store and manage structured data from relational databases, semi-structured data like JSON or XML, and unstructured data such as text documents, images, and videos at any scale. Should be able to integrate with big data processing frameworks such as Apache Hadoop, Apache Spark, and Apache Flink, as well as with machine learning and data visualization tools. g. Data Security : Implement security practices, technologies, and policies designed to protect data from unauthorized access, alteration, or destruction throughout its lifecycle. It should include data access, encryption, data masking and anonymization, data loss prevention, compliance, and regulatory requirements such as DPDP, GDPR, etc. h. Database Management: Administer and optimize databases, both relational and NoSQL, to manage large volumes of data effectively. i. Data Migration: Plan and execute data migration projects to transfer data between systems while ensuring data consistency and minimal downtime. a. Performance Optimization : Optimize data pipelines and queries for performance and scalability. Identify and resolve bottlenecks, tune database configurations, and implement caching and indexing strategies to improve data processing speed and efficiency. b. Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide them with access to the necessary data resources. They also work closely with IT operations teams to deploy and maintain data infrastructure in production environments. c. Documentation and Reporting: Document their work including data models, data pipelines/ETL processes, and system configurations. Create documentation and provide training to other team members to ensure the sustainability and maintainability of data systems. d. Continuous Learning: Stay updated with the latest technologies and trends in data engineering and related fields. Should participate in training programs, attend conferences, and engage with the data engineering community to enhance their skills and knowledge. Desired Skills/ Competencies Education: A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or equivalent with at least 5 years of experience. Database Management: Strong expertise in working with databases, such as SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Big Data Technologies: Familiarity with big data technologies, such as Apache Hadoop, Spark, and related ecosystem components, for processing and analyzing large-scale datasets. ETL Tools: Experience with ETL tools (e.g., Apache NiFi, Talend, Apache Airflow, Talend Open Studio, Pentaho, Infosphere) for designing and orchestrating data workflows. Data Modeling and Warehousing: Knowledge of data modeling techniques and experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake). Data Governance and Security: Understanding of data governance principles and best practices for ensuring data quality and security. Cloud Computing: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services for scalable and cost-effective data storage and processing. Streaming Data Processing: Familiarity with real-time data processing frameworks (e.g., Apache Kafka, Apache Flink) for handling streaming data. KPIs: Data Pipeline Efficiency: Measure the efficiency of data pipelines in terms of data processing time, throughput, and resource utilization. KPIs could include average time to process data, data ingestion rates, and pipeline latency. Data Quality Metrics: Track data quality metrics such as completeness, accuracy, consistency, and timeliness of data. KPIs could include data error rates, missing values, data duplication rates, and data validation failures. System Uptime and Availability: Monitor the uptime and availability of data infrastructure, including databases, data warehouses, and data processing systems. KPIs could include system uptime percentage, mean time between failures (MTBF), and mean time to repair (MTTR). Data Storage Efficiency: Measure the efficiency of data storage systems in terms of storage utilization, data compression rates, and data retention policies. KPIs could include storage utilization rates, data compression ratios, and data storage costs per unit. Data Security and Compliance: Track adherence to data security policies and regulatory compliance requirements such as DPDP, GDPR, HIPAA, or PCI DSS. KPIs could include security incident rates, data access permissions, and compliance audit findings. Data Processing Performance: Monitor the performance of data processing tasks such as ETL (Extract, Transform, Load) processes, data transformations, and data aggregations. KPIs could include data processing time, CPU usage, and memory consumption. Scalability and Performance Tuning: Measure the scalability and performance of data systems under varying workloads and data volumes. KPIs could include scalability benchmarks, system response times under load, and performance improvements achieved through tuning. Resource Utilization and Cost Optimization: Track resource utilization and costs associated with data infrastructure, including compute resources, storage, and network bandwidth. KPIs could include cost per data unit processed, cost per query, and cost savings achieved through optimization. Incident Response and Resolution: Monitor the response time and resolution time for data-related incidents and issues. KPIs could include incident response time, time to diagnose and resolve issues, and customer satisfaction ratings for support services. Documentation and Knowledge Sharing : Measure the quality and completeness of documentation for data infrastructure, data pipelines, and data processes. KPIs could include documentation coverage, documentation update frequency, and knowledge sharing activities such as internal training sessions or knowledge base contributions. Years of experience of the current role holder New Position Ideal years of experience 3 – 5 years Career progression for this role CTO WGDT (Head of Incubation Centre) ******************************************************************************* Wadhwani Corporate Profile: (Click on this link) Our Culture: WF is a global not-for-profit, and works like a start-up, in a fast-moving, dynamic pace where change is the only constant and flexibility is the key to success. Three mantras that we practice across job roles, levels, functions, programs and initiatives, are Quality, Speed, Scale, in that order. We are an ambitious and inclusive organization, where everyone is encouraged to contribute and ideate. We are intensely and insanely focused on driving excellence in everything we do. We want individuals with the drive for excellence, and passion to do whatever it takes to deliver world class outcomes to our beneficiaries. We set our own standards often more rigorous than what our beneficiaries demand, and we want individuals who love it this way. We have a creative and highly energetic environment – one in which we look to each other to innovate new solutions not only for our beneficiaries but for ourselves too. Open to collaborate with a borderless mentality, often going beyond the hierarchy and siloed definitions of functional KRAs, are the individuals who will thrive in our environment. This is a workplace where expertise is shared with colleagues around the globe. Individuals uncomfortable with change, constant innovation, and short learning cycles and those looking for stability and orderly working days may not find WF to be the right place for them. Finally, we want individuals who want to do greater good for the society leveraging their area of expertise, skills and experience. The foundation is an equal opportunity firm with no bias towards gender, race, colour, ethnicity, country, language, age and any other dimension that comes in the way of progress. Join us and be a part of us! Bachelors in Technology / Masters in Technology

Job Title: Executive Assistant to the CEO Location :-daryaganj Male candidates needed Exp:-2years to 3 years 6days working Office timing:-9:30am to 7:00pm Salary upto:-30K TO 40K CONTACT VIA WHATSAPP:-9266110089 Job Summary : We are seeking a highly organized and detail-oriented Assistant to provide comprehensive administrative and operational support to the CEO. The ideal candidate will possess excellent English communication skills, a strong work ethic, and the ability to manage multiple tasks efficiently. This role is crucial for ensuring the smooth functioning of the CEO's office and requires a proactive and resourceful individual. Responsibilities:  Provide comprehensive administrative support to the CEO, including managing correspondence, scheduling appointments, preparing reports and presentations, and maintaining confidential records.  Manage and organize the CEO's files, both physical and digital, ensuring easy retrieval of information.  Coordinate meetings and events for the CEO, including arranging logistics, preparing agendas and minutes, and managing attendee communication.  Handle all incoming and outgoing communication for the CEO, including phone calls, emails, and mail.  Assist with special projects as assigned by the CEO, such as conducting research, preparing reports, and coordinating with other departments.  Manage the CEO's travel arrangements, including booking flights, hotels, and transportation, and preparing travel itineraries.  Maintain office supplies and equipment for the CEO's office, ensuring smooth operation.  Perform other duties as assigned by the ceo Qualifications:  Bachelor's degree in any discipline; MBA or Master's Degree in Communication preferred.  Excellent written and verbal communication skills in English.  Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Workspace.  Strong organizational and time-management skills.  Ability to prioritize tasks and meet deadlines in a fast-paced environment.  Excellent interpersonal skills and ability to work effectively with individuals at all levels.  Proactive and resourceful approach to problem-solving.  Attention to detail and accuracy.  Discretion and ability to maintain confidentiality. As a leading Indian publisher, we are committed to promoting Indian languages and literature. Our mission is to preserve and promote India's rich cultural heritage and make it accessible to a wider audience. To further our mission, we established a non-profit organization dedicated to fostering exchange among Indian languages and international literature. The foundation provides a platform for writers, scholars, and artists to connect with each other and the global community. PREFERENCE :-GOOD COMMAND IN HINDI(WRITTEN AND TYPING) Thank you. REGARDS NEHA Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person

Who We Are Bain & Company is a global management consulting that helps the world’s most ambitious change-makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. Who You’ll work with BCN Labs is a Center of Excellence (CoE) functioning akin to a small R&D boutique startup within the Bain ecosystem, delivering end-to-end data driven client deployable solutions across a wide variety of sectors and industries. We work directly with other CoEs and Practices within Bain as part of the Expert Client Delivery system and interface with teams across the globe. We are first and foremost business thought partners working on intelligent ways of using analytical techniques and algorithms across the spectrum of disciplines that can enable building world-class solutions. Our goal is to build a disruptive high-impact business-enabled end-to-end analytical solutions delivery system across all verticals of Bain. What You Will Do We’re seeking an Associate – Back-End/Full-Stack Developer to join our team and build scalable, secure, and efficient backend services that power client-facing analytical applications and internal platforms. You’ll work closely with Front-end developers, data scientists, and business leads to implement logic, manage data flow and ensure robust performance of web applications. As an Associate – Back-End/Full-Stack Developer, you will: Build Backend Services : Develop modular, scalable server-side applications and services using Python-based frameworks such as FastAPI or Django Design & Integrate APIs : Collaborate with front-end developers and data scientists to design clean, well-documented APIs that meet evolving business needs Manage Data storage/Interactions : Write efficient database queries, optimize storage and retrieval operations, and ensure data integrity across services Collaborate across teams : Work closely with front-end developers, and data scientists to integrate business logic and ensure smooth data pipelines Uphold Code Quality : Participate in code reviews, adhere to best practices, and write maintainable and testable code Drive Improvement: Demonstrate Strong problem-solving skills, team collaboration, and a proactive attitude toward learning and improvement About You Education & Experience: Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. 1–2 years of real-world experience in backend development (or full-stack development) and service integration, with exposure to data-driven applications or platforms. You will fit into our team-oriented structure with a college/hostel-style way of working, having the comfort of reaching out to anyone for support that can enable our clients better. Core Technical Skills: Strong proficiency in Python, with hands-on experience building backend services using: FastAPI for high-performance, asynchronous APIs, and/or Django Rest Framework (DRF) for robust, secure and scalable APIs Experience designing and implementing RESTful APIs, including authentication, versioning, and documentation (e.g., OpenAPI/Swagger) Proficient in working with Relational Databases (e.g., PostgreSQL, MySQL, MS SQL Server) Exposure to NoSQL databases such as MongoDB or Redis (for caching) is a plus Skilled in implementing business logic, data parsing, validation, and serialization using Pydantic (FastAPI) or DRF serializers Exposure to deploying Python applications on cloud services like AWS (EC2, Lambda, S3) or Azure Familiarity with Docker, Git, and basic CI/CD practices for backend deployments. (Good-to-have) Basic understanding of React.js or Vue.js to better collaborate with front-end teams. (Good-to-have) Experience or exposure to integrating FastAPI/DRF backends with front-end clients via REST APIs. (Good-to-have) Understanding of how front-end apps consume and render API responses (e.g., JSON) and how to optimize for usability. Development Tools & Practices: Experience with version control using Git in collaborative environments (e.g., GitHub) Familiarity with sprint-based work planning and code reviews Exposure to testing frameworks (e.g., Pytest, Unittest etc.) and debugging practices What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

AI Lead – Generative & Agentic AI Systems Experience: 7–10 Years Location: Hyderabad (Hybrid) Employment Type: Full-Time About the Role: We are seeking a visionary and hands-on AI Lead to architect, build, and scale next-generation Generative and Agentic AI systems. In this role, you will drive the end-to-end lifecycle—from research and prototyping to production deployment—guiding a team of AI engineers and collaborating cross-functionally to deliver secure, scalable, and impactful AI solutions across multimodal and LLM-based ecosystems. Key Responsibilities: Architect and oversee the development of GenAI and Agentic AI workflows, including multi-agent systems and LLM-based pipelines. Guide AI engineers in best practices for RAG (Retrieval-Augmented Generation), prompt engineering, and agent design. Evaluate and implement the right technology stack: open source (Hugging Face, LangChain, LlamaIndex) vs. closed source (OpenAI, Anthropic, Mistral). Lead fine-tuning and adapter-based training (e.g., LoRA, QLoRA, PEFT). Drive inference optimization using quantization, ONNX, TensorRT, and related tools. Build and refine RAG pipelines using embedding models, vector DBs (FAISS, Qdrant), chunking strategies, and hybrid knowledge graph systems. Manage LLMOps with tools like Weights & Biases, MLflow, and ClearML, ensuring experiment reproducibility and model versioning. Design and implement evaluation frameworks for truthfulness, helpfulness, toxicity, and hallucinations. Integrate guardrails, content filtering, and data privacy best practices into GenAI systems. Lead development of multi-modal AI systems (VLMs, CLIP, LLaVA, video-text fusion models). Oversee synthetic data generation for fine-tuning in low-resource domains. Design APIs and services for Model-as-a-Service (MaaS) and AI agent orchestration. Collaborate with product, cloud, and infrastructure teams to align on deployment, GPU scaling, and cost optimization. Translate cutting-edge AI research into usable product capabilities, from prototyping to production. Mentor and grow the AI team, establishing R&D best practices and benchmarks. Stay up-to-date with emerging trends (arXiv, Papers With Code) to keep the organization ahead of the curve. Required Skills & Expertise: AI & ML Foundations: Generative AI, LLMs, Diffusion Models, Agentic AI Systems, Multi-Agent Planning, Prompt Engineering, Feedback Loops, Task Decomposition Ecosystem & Frameworks: Hugging Face, LangChain, OpenAI, Anthropic, Mistral, LLaMA, GPT, Claude, Mixtral, Falcon, etc. Fine-tuning & Inference: LoRA, QLoRA, PEFT, ONNX, TensorRT, DeepSpeed, vLLM Data & Retrieval Systems: FAISS, Qdrant, Chroma, Pinecone, Hybrid RAG + Knowledge Graphs MLOps & Evaluation: Weights & Biases, ClearML, MLflow, Evaluation metrics (truthfulness, helpfulness, hallucination) Security & Governance: Content moderation, data privacy, model alignment, ethical constraints Deployment & Ops: Cloud (AWS, GCP, Azure) with GPU scaling, Serverless LLMs, API-based inference, Docker/Kubernetes Other: Multi-modal AI (images, video, audio), API Design (Swagger/OpenAPI), Research translation and POC delivery Preferred Qualifications: 7+ years in AI/ML roles, with at least 2–3 years in a technical leadership capacity Proven experience deploying LLM-powered systems at scale Experience working with cross-functional product and infrastructure teams Contributions to open-source AI projects or published research papers (a plus) Strong communication skills to articulate complex AI concepts to diverse stakeholders Why Join Us? Work at the forefront of AI innovation with opportunities to publish, build, and scale impactful systems Lead a passionate team of engineers and researchers Shape the future of ethical, explainable, and usable AI products Ready to shape the next wave of AI? Apply now and join us on this journey! Job Types: Full-time, Permanent Pay: ₹2,500,000.00 - ₹3,500,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Supplemental Pay: Joining bonus Work Location: In person

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the Role At the intersection of AI, data science, and product discovery , we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real. As Manager of Data Science – Knowledge Management , you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics . This is a high-agency, high-impact role embedded in our Product Knowledge organization , where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage. What You’ll Lead & Deliver Optimize Product Knowledge at Scale Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery. Build LLM-Powered Solutions Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence. Design Model Evaluation Frameworks Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems. Turn Data into Strategy Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution. Prototype & Experiment Rapidly Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions. Partner for Production Impact Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems. What You Bring 7+ years of experience in analytics, data science, or ML roles Advanced proficiency in SQL and Python for analytics, automation, and experimentation Familiarity with eCommerce discovery , product classification, and search or recommendation systems Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required) Strong grasp of model evaluation , including metrics design and benchmarking A startup mindset—bias for action, high ownership, and comfort with ambiguity Excellent communicator with the ability to influence cross-functional stakeholders Why You’ll Love It Here Drive real impact at the core of product discovery innovation Work hands-on with cutting-edge AI and data platforms Collaborate with some of the best minds in AI, Product, and Engineering Own high-visibility projects in a startup-like, high-trust culture Build scalable, magical, and relevant product data systems used by millions Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Who We Are Bain & Company is a global management consulting that helps the world’s most ambitious change-makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. Who You’ll work with BCN Labs is a Center of Excellence (CoE) functioning akin to a small R&D boutique startup within the Bain ecosystem, delivering end-to-end data driven client deployable solutions across a wide variety of sectors and industries. We work directly with other CoEs and Practices within Bain as part of the Expert Client Delivery system and interface with teams across the globe. We are first and foremost business thought partners working on intelligent ways of using analytical techniques and algorithms across the spectrum of disciplines that can enable building world-class solutions. Our goal is to build a disruptive high-impact business-enabled end-to-end analytical solutions delivery system across all verticals of Bain. What You Will Do We’re seeking an Associate – Back-End/Full-Stack Developer to join our team and build scalable, secure, and efficient backend services that power client-facing analytical applications and internal platforms. You’ll work closely with Front-end developers, data scientists, and business leads to implement logic, manage data flow and ensure robust performance of web applications. As an Associate – Back-End/Full-Stack Developer, you will: Build Backend Services : Develop modular, scalable server-side applications and services using Python-based frameworks such as FastAPI or Django Design & Integrate APIs : Collaborate with front-end developers and data scientists to design clean, well-documented APIs that meet evolving business needs Manage Data storage/Interactions : Write efficient database queries, optimize storage and retrieval operations, and ensure data integrity across services Collaborate across teams : Work closely with front-end developers, and data scientists to integrate business logic and ensure smooth data pipelines Uphold Code Quality : Participate in code reviews, adhere to best practices, and write maintainable and testable code Drive Improvement: Demonstrate Strong problem-solving skills, team collaboration, and a proactive attitude toward learning and improvement About You Education & Experience: Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. 1–2 years of real-world experience in backend development (or full-stack development) and service integration, with exposure to data-driven applications or platforms. You will fit into our team-oriented structure with a college/hostel-style way of working, having the comfort of reaching out to anyone for support that can enable our clients better. Core Technical Skills: Strong proficiency in Python, with hands-on experience building backend services using: FastAPI for high-performance, asynchronous APIs, and/or Django Rest Framework (DRF) for robust, secure and scalable APIs Experience designing and implementing RESTful APIs, including authentication, versioning, and documentation (e.g., OpenAPI/Swagger) Proficient in working with Relational Databases (e.g., PostgreSQL, MySQL, MS SQL Server) Exposure to NoSQL databases such as MongoDB or Redis (for caching) is a plus Skilled in implementing business logic, data parsing, validation, and serialization using Pydantic (FastAPI) or DRF serializers Exposure to deploying Python applications on cloud services like AWS (EC2, Lambda, S3) or Azure Familiarity with Docker, Git, and basic CI/CD practices for backend deployments. (Good-to-have) Basic understanding of React.js or Vue.js to better collaborate with front-end teams. (Good-to-have) Experience or exposure to integrating FastAPI/DRF backends with front-end clients via REST APIs. (Good-to-have) Understanding of how front-end apps consume and render API responses (e.g., JSON) and how to optimize for usability. Development Tools & Practices: Experience with version control using Git in collaborative environments (e.g., GitHub) Familiarity with sprint-based work planning and code reviews Exposure to testing frameworks (e.g., Pytest, Unittest etc.) and debugging practices What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Experience with software test engineering or test automation framework. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. Experience in Python or Java. About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. At Google Home, the team's mission is to create a home that takes care of the people inside it and the world around it. The Google Home Engineering Excellence team drives velocity, quality, and excellence for the software stack by building tooling, scalable test infrastructure, and driving quality insights into the development process. The team pushes the limits of test automation and developer tooling to drive code health, integration, and quality across devices, services, and apps. The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it. Responsibilities Grow and develop individuals, teams, and leads and align that growth with the wider needs of the business. Lead teams in general software development, infrastructure development, and test automation tooling. Define multi-quarter team delivery roadmaps, managing constraints, and prioritizing competing interests. Lead cross-functional collaboration, partnering and engaging with software development peers and leadership. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Experience in Android or iOS development. Understanding of mobile development and Google Photos. Ability to inspire and motivate teams. Excellent communication and leadership skills. About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user. Responsibilities Recruit, hire, and mentor a team of exceptional Android and iOS software engineers in Bengaluru. Establish and promote software engineering best practices, balancing code health with project velocity and maintainability. Collaborate with cross-functional partners to define the team's goal, strategy and roadmap, ensuring alignment with overall Google Photos goals. Deliver high-quality software solutions that delight users and contribute to the continued success of Google Photos. Partner with leads on the larger team to drive a comprehensive strategy using solutions to help these users subscribe and manage their storage effectively. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job description Executive - Front Office - Whitefield 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 Kannada (Preferred) Job Types: Full-time, Permanent Pay: ₹17,000.00 - ₹24,000.00 per month Benefits: Health insurance Provident Fund Schedule: Morning shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Language: Kannada (Preferred) Ability to Commute: White Field, Bengaluru, Karnataka (Required) Ability to Relocate: White Field, Bengaluru, Karnataka: Relocate before starting work (Required) Work Location: In person *Speak with the employer* +91 7550288193 Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Work Location: In person

Job Description – Data Scientist Company: Tata Digital Private Limited Tata Digital is a future-ready company focused on building consumer-centric, high-engagement digital products. Our flagship offering, Tata Neu , is a super-app that integrates various consumer services, including groceries, fashion, electronics, travel, financial services, and more, into a seamless experience. As a wholly owned subsidiary of Tata Sons Private Limited , we are committed to driving digital transformation at scale. Role Details Role Title: Data Scientist / Machine Learning Engineer Function: Data Science Location: Bangalore Experience: 3-5 Y About the Role: We are looking for an experienced Data Scientist / Machine Learning Engineer to join our team and help drive innovation in search, recommendation, and ads. You will be responsible for designing, building, and optimizing ML models that enhance user experience and business outcomes at scale. If you have a strong background in developing scalable ML solutions within a product-driven company, we want to hear from you. Key Responsibilities: Develop and optimize ML models for search ranking, recommendations, and ad targeting to improve engagement and monetization. Design, implement, and deploy large-scale ML pipelines in production environments. Experiment with and improve deep learning, NLP, for personalization and relevance. Conduct A/B testing and data-driven evaluations to measure the impact of ML models. Optimize infrastructure and data processing for high-scale real-time and batch ML systems. Stay up to date with advancements in ML, AI, and big data technologies and apply them to business problems. Minimum Qualifications: 3+ years of experience in Data Science / Machine Learning Engineering, with a focus on search, recommendation systems, or advertising. Strong programming skills in Python, Scala, or Java with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn . Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed computing. Proficiency in SQL and NoSQL databases for large-scale data processing. Hands-on experience in deploying ML models in production at scale (MLOps, CI/CD for ML). Strong understanding of ranking models, deep learning, NLP, and reinforcement learning. Preferred Qualifications: Familiarity with vector search, embeddings, and retrieval-based models. Strong problem-solving skills and ability to work in a fast-paced environment Experience with cloud platforms like AWS, GCP, or Azure . If you’re passionate about building intelligent, scalable, and high-impact ML solutions, apply now! Learn more about Tata Digital: Tata Neu Tata Digital Newsroom LinkedIn YouTube

Job Description : Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. Chubb is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Ideal candidate for this role is someone with a strong background in P&C underwriting product knowledge, business and data analysis who is eager to work with large complex datasets in a big data environment. You are adept at implementing prefill data solutions for P&C products using external data sources and data science models. You have a critical eye for perceiving actionable insights from multitude of data sources ranging from structured and unstructured. You have an innate ability to enage, influence and champion innovative solutions and are never afraid to come up with out of the box solutions to traditional P&C underwriting. You are a self-starter who will take ownership of your projects and deliver high-quality data-driven analytics solutions. Primary Job Responsibilities: Designing, creating and implementing dashboards and data visualization solutions using QlikSense. Extracting, transforming and loading data from disparate sources into the QlikSense application. Designing, building, testing and deploying QlikSense scripts to import data from source systems and test QlikSense dashboards to meet customer requirements. Interacting with business users to gather requirements and translate those requirements into QlikSense visualizations. Troubleshooting and resolving issues related to QlikSense dashboards and data issues. Developing data models to meet the needs of the organization's information systems. Optimizing data load times and improving the performance of reporting dashboards. Setting up QlikSense user access controls and maintaining document version control. Integrating QlikSense with other platforms and systems to facilitate automated and on-demand data retrieval. Documenting QlikSense processes, projects, and system configurations. Ensuring all QlikSense dashboards and processes comply with enterprise standards and protocols. Participate in continuously improving and optimizing the QlikSense application. Training end-users on how to use QlikSense dashboards and solving their queries related to it. Providing ongoing support and maintenance of the QlikSense platform and dashboards. Keeping up-to-date with latest technologies, trends and techniques related to QlikSense. Qualification/Experience Bachelors in Computer Science, Information Systems or related educational background 4+ years of work experience as Business/Data/Product Analyst. Solid experience in creating Dashboards using QlikSense Programming experience with Qlik scripting & Data Model building is a must. Knowledge of Microsoft Azure QMC & Mashups knowledge experience is a plus. Excellent working knowledge of SQL & experience querying data platforms , relational databases, MySQL, Oracle, DB2 etc. Demonstrated knowledge of and experience in business data definition, data profiling and data mapping analysis Excellent understanding of how technology impacts the business Must have strong business acumen as well as technical solutions expertise Strong ability to independently perform analysis of business workflow, and technology issues to facilitate decision-making Multi-tasking along with strong organization and time management skills is a must Must have strong problem solving skills Excellent interpersonal, communication, presentation, documentation skills Knowledge of Agile methodologies Job Description : Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. Chubb is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Ideal candidate for this role is someone with a strong background in P&C underwriting product knowledge, business and data analysis who is eager to work with large complex datasets in a big data environment. You are adept at implementing prefill data solutions for P&C products using external data sources and data science models. You have a critical eye for perceiving actionable insights from multitude of data sources ranging from structured and unstructured. You have an innate ability to enage, influence and champion innovative solutions and are never afraid to come up with out of the box solutions to traditional P&C underwriting. You are a self-starter who will take ownership of your projects and deliver high-quality data-driven analytics solutions. Primary Job Responsibilities: Designing, creating and implementing dashboards and data visualization solutions using QlikSense. Extracting, transforming and loading data from disparate sources into the QlikSense application. Designing, building, testing and deploying QlikSense scripts to import data from source systems and test QlikSense dashboards to meet customer requirements. Interacting with business users to gather requirements and translate those requirements into QlikSense visualizations. Troubleshooting and resolving issues related to QlikSense dashboards and data issues. Developing data models to meet the needs of the organization's information systems. Optimizing data load times and improving the performance of reporting dashboards. Setting up QlikSense user access controls and maintaining document version control. Integrating QlikSense with other platforms and systems to facilitate automated and on-demand data retrieval. Documenting QlikSense processes, projects, and system configurations. Ensuring all QlikSense dashboards and processes comply with enterprise standards and protocols. Participate in continuously improving and optimizing the QlikSense application. Training end-users on how to use QlikSense dashboards and solving their queries related to it. Providing ongoing support and maintenance of the QlikSense platform and dashboards. Keeping up-to-date with latest technologies, trends and techniques related to QlikSense. Qualification/Experience Bachelors in Computer Science, Information Systems or related educational background 4+ years of work experience as Business/Data/Product Analyst. Solid experience in creating Dashboards using QlikSense Programming experience with Qlik scripting & Data Model building is a must. Knowledge of Microsoft Azure QMC & Mashups knowledge experience is a plus. Excellent working knowledge of SQL & experience querying data platforms , relational databases, MySQL, Oracle, DB2 etc. Demonstrated knowledge of and experience in business data definition, data profiling and data mapping analysis Excellent understanding of how technology impacts the business Must have strong business acumen as well as technical solutions expertise Strong ability to independently perform analysis of business workflow, and technology issues to facilitate decision-making Multi-tasking along with strong organization and time management skills is a must Must have strong problem solving skills Excellent interpersonal, communication, presentation, documentation skills Knowledge of Agile methodologies

Job Title: Director- Data & Analytics Engineer GCL - F Introduction to role: As the Director of Data & Analytics Engineering, you'll be at the forefront of revolutionizing how competitive intelligence is created, shared, and consumed within AstraZeneca. Through Connected Insights, we are making our data Findable, Accessible, Interoperable, and Re-usable (FAIR). You'll architect solutions that ensure unstructured data is readily available for AI applications, using innovative technologies like vector databases and knowledge graphs. Your leadership will guide a team of dedicated engineers in developing scalable data solutions and database enhancements for large-scale products. Are you prepared to drive innovation and excellence in data engineering? Accountabilities: 1. Data Platform Design and Implementation Design and implement advanced data capabilities, including auto ingestion, data cataloguing, automated access control, lifecycle management, backup & restore, and AI-ready data structures. Implement vector databases and knowledge graphs to support AI and machine learning initiatives. 2. AI-Focused Solution Architecture Collaborate with AI Engineering leads and Architects to design AI-ready data architectures. Analyze data requirements for AI applications, modeling both structured and unstructured data sources. 3. ETL and Data Processing Implement optimal ETL workflows using SQL, APIs, ETL tools, AWS big data technologies, and AI-specific techniques. Develop processes to prepare data for AI model training and inference. 4. AI Integration and Technical Leadership Lead technical deliveries across multiple initiatives, focusing on integrating AI capabilities into existing data solutions. Provide technical feedback on design, architecture, and integration of AI-enhanced data sourcing platforms. 5. Collaborator, Teamwork and Problem Solving Liaise with technical infrastructure teams to resolve issues impacting AI application performance. Engage with architects, product owners, and business stakeholders to ensure efficient engineering of AI-driven data solutions. 6. Agile Project Management Lead a dedicated Data pod including managing backlogs, sprints, and planning. Collaborate with product pods to help them meet their deliveries. 7. Standards and Best Practices Define data engineering and AI integration standards in collaboration with architects and AI Engineering leads. Establish standard processes for managing AI model versioning and data lineage. 8. Quality Assurance and Documentation Test, document, and quality assess new data and AI solutions. Implement robust testing frameworks for AI models and data pipelines. 9. Research and Development Explore emerging AI technologies and drive their integration into existing data infrastructure. 10. Technical Problem Solving and Innovation Adopt a "can-do" approach to technical challenges related to AI integration. Coach team members on solving complex AI and data engineering problems. 11. Team Leadership and Development Build and support your team through hiring, coaching, and mentoring. Foster a culture of continuous learning in AI and data technologies. 12. Code and Design Quality Perform regular quality checks of both data engineering and AI-related code. Guide engineers on design patterns emphasizing AI-specific considerations. 13. Data Interoperability and FAIR Principles Lead initiatives to enhance data interoperability through rich metadata. Ensure all data solutions align with FAIR principles. 14. Knowledge Graph Development Be responsible for the design, implementation, and maintenance of knowledge graphs using Neo4j. Integrate knowledge graphs with AI applications to enhance data context. Essential Skills/Experience: Must have a B.Tech/M.Tech/MSc in Computer Science, Engineering, or related field. Experience in leading data engineering teams to deliver robust and scalable data products, with a focus on preparing datasets for AI/ML use cases. Deep expertise in the AWS data engineering ecosystem (SNS, SQS, Lambda, Glue, S3, EMR, log management, AWS containers, EC2, EBS, access control, data streaming, AWS CLI & SDK, backup & restore, etc). Excellent programming skills in Python or Java, including Object-Oriented Programming, and proficiency with Airflow, Apache Spark, source control (GIT), and versioning. Extensive experience in designing, building, and optimizing large-scale data pipelines, including ingestion, transformation, and orchestration using tools such as Airflow. Familiarity with Snowflake tools and services. Hands-on experience with metadata management and the application of controlled vocabularies and ontologies to ensure data interoperability and discoverability. Working knowledge of vector databases and implementing semantic search capabilities for unstructured and semi-structured datasets. Strong understanding of data modelling concepts, SQL (including advanced SQL), and database design—especially for unstructured and semi-structured data (XML, JSON). Experience designing data cataloguing, auto-ingestion, automated access control, lifecycle management, backup & restore, and other self-service data management features. Exposure to software engineering CI/CD processes, including implementation of automated testing, build, release, deployment, containerization, and configuration management. Experience using JIRA, Confluence, and other tools to manage Agile and SAFe project delivery. Strong communication, teamwork, and mentoring skills, with the ability to build, coach, and guide high-performing data engineering teams focused on AI/ML objectives. Desirable Skills/Experience: Demonstrated experience in developing knowledge graphs (e.g., with Neo4j) and making data AI-ready for Retrieval-Augmented Generation (RAG) and Generative AI (GenAI) applications. When we put unexpected teams in the same room, we fuel ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll find yourself at the heart of innovation where impactful work meets large-scale transformation. We connect across the business to influence patient outcomes positively while driving pioneering change towards becoming a digital enterprise. Collaborate with leading experts using innovative techniques to turn complex information into practical insights that improve lives globally. Our inclusive team grows with diversity—bringing together different functions to decode business needs effectively. Here is where you can raise your personal profile through publishing work or showcasing your achievements. Ready to make a difference? Apply now to join our dynamic team!

About Us. Kloudone is a leading services company catering to Fortune 100 clients in the San Francisco Bay area. We are looking for Executive Assistant fresher for our offices in India. Job Description An Executive Assistant (EA) provides high-level administrative and organizational support to executives, often within a company's C-suite. A fresher EA will typically handle tasks such as calendar management, meeting coordination, travel arrangements, and communication management, while also managing confidential information and potentially assisting with special projects. Excellent written and communication skills is a must. Responsibilities of an Executive Assistant: Calendar Management: Scheduling and coordinating appointments, meetings, and events for the executive. Communication Management: Handling emails, phone calls, and other correspondence on behalf of the executive, potentially acting as a gatekeeper. Meeting Coordination: Preparing agendas, taking minutes, and ensuring smooth execution of meetings. Travel Arrangements: Booking flights, accommodations, and creating itineraries for business trips. Document Management: Organizing and maintaining both electronic and physical files, ensuring easy retrieval and confidentiality. Project Support: Assisting with special projects, research, and report preparation. Office Management: Overseeing general office tasks, such as ordering supplies, managing mail, and maintaining office equipment. Liaison: Serving as a point of contact between the executive and other employees, clients, or stakeholders. Confidentiality: Maintaining discretion and handling sensitive information with appropriate care. Event Planning: Assisting with the planning and execution of company events, conferences, or workshops. Skills and Qualifications for a Fresher EA: Strong Organizational Skills: Ability to manage multiple tasks, prioritize effectively, and meet deadlines. Excellent Communication Skills: Both verbal and written, including strong grammar and proofreading abilities. Proficiency in Microsoft Office Suite: Including Word, Excel, PowerPoint, and Outlook. Problem-Solving Skills: Ability to identify and resolve issues proactively. Attention to Detail: Ensuring accuracy and precision in all tasks. Discretion and Confidentiality: Handling sensitive information with care and professionalism. Positive Attitude and Professionalism: Maintaining a positive demeanour and representing the executive well. Basic Bookkeeping Skills: May be required for expense reports and other financial tasks. Job Type: Full-time Schedule: Evening shift Monday to Friday Night shift Application Question(s): How much do you rate yourself in top 10 on Verbal and written communication skills? Education: Bachelor's (Required) Work Location: Remote

The Ops Support Specialist 5 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 Support Specialist 5 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: Resolve customer inquiries and supervise escalated issues, providing efficient and effective customer service to Citi’s clients Identify opportunities to offer value added products and services while adhering to strict laws and regulation governing Telesales Communicate daily with management on productivity, quality, availability, Management Information System (MIS) indicators, as well as providing written and oral communications to supported business areas for approval of correct financial entries and resolution of incorrect entries Facilitate training based on needs of staff within the department and assist with answering staff questions within Disputes, as needed Support expansive and diverse array of products and services Assist with ongoing Lean and process improvement projects Resolve complex problems based on best practice/precedence, escalating as needed 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: 2-4 years of relevant experience Proficient in Microsoft Office Comprehensive knowledge of Dispute process Ability to work unsupervised and apply problem solve capabilities Ability to work occasional weekends to support Pega releases and COB testing Working knowledge of Pega and/or G36 functionality, Continuity of Business (CoB) testing, and creating and resolving Trust Receipts (TR’s) Demonstrated analytical skills and mathematical knowledge Consistently demonstrates clear and concise written and verbal communication skills Education: High School diploma or equivalent 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.

Growexx is looking for smart and passionate Senior Data Scientist , who will help in building great AI Agents for different business needs. Key Responsibilities Design and implement LLM powered video conversation systems to support use cases such as real-time customer service, sales enablement, and personalized product walkthroughs, integrating video streaming systems and leveraging multimodal models for speech. Text, and visual understanding. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketing channels. Conduct comprehensive evaluation of LLMs, including performance benchmarking (accuracy, latency, token usage, cost), prompt effectiveness testing, fine-tuning impact analysis, and safety/bias assessments. Integrate LLM agents with APIs, internal knowledge bases, retrieval systems (RAG architectures), and external tools to enable autonomous or semi-autonomous decision-making. Build a deep understanding of business models, objectives, challenges, and opportunities by working closely with leadership and key stakeholders. Document model methodologies, evaluation frameworks, agent workflows, deployment architectures, and post-activation performance results in a structured and reproducible format. Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and ML technologies to recommend and implement innovative solutions. Key Skills Experience using Python, SciKit, SQL, Jupyter Notebooks, Amazon SageMaker, Github & AWS Bedrock. Experience working with multimodal AI systems for video-based conversation, speech-to-text, text-to-speech, and LLM-driven dialogue orchestration for interactive, real-time user engagement. Proven experience designing, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and generative AI applications. Experience designing and deploying agentic systems using frameworks such as LangChain, AutoGen, CrewAI, and custom function-calling pipelines. Expertise integrating LLM agents with APIs, knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Strong understanding of evaluation metrics for LLMs, including prompt testing, token optimization, bias/safety analysis, latency, and cost benchmarks. Expertise in designing and executing A/B, multivariate, and lift tests to measure activated ML/LLM model performance across digital and offline channels. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 5 + years as a Data Scientist or similar roles. Analytical and Personal skills Must have good logical reasoning and analytical skills. Good Communication skills in English – both written and verbal. Demonstrate Ownership and Accountability of their work. Attention to details.

ABOUT TECHNOMINE: Technomine serves as your trusted offshore partner, offering customized outsourcing solutions to support your success. We specialize in: Business Process Outsourcing Knowledge Process Outsourcing Recruitment Process Outsourcing Accounting Process Outsourcing Research & Development Our experts assess your needs, streamline your processes, and provide strategic consultations to enhance efficiency and drive growth. The Technomine Journey: Founded in 2008 as a financial services provider in the U.S., Technomine has grown from a three-person team to a 350+ strong workforce, delivering excellence with integrity. 2010-2011: Expanded to the UK, added healthcare, accounting, and RPO services across Europe & North America. 2013: Established Middle East division for recruitment in construction, oil & gas, engineering, and IT. 2015: Launched video surveillance and record retrieval services, expanding to Europe, the UK, U.S., and Canada. 2017-2019: Diversified into security, recruitment, healthcare, and IT, providing seamless front-end and back-end support. Today, Technomine serves multiple industries with customized outsourcing solutions worldwide . Job Description: “Learn And Grow Your Personality” Designation: Assistant to the CFO (Female Preferred) Job Summary: The Assistant to the CFO provides comprehensive administrative and organizational support to the Chief Financial Officer (CFO). The role involves managing schedules, coordinating meetings, handling confidential information, assisting in financial tasks, and ensuring smooth communication between internal and external stakeholders. The ideal candidate should possess strong administrative abilities, financial acumen, and excellent communication skills. Key Responsibilities: 1. Calendar & Meeting Management: Manage the CFO’s calendar, schedule meetings, appointments, and conference calls. Prepare meeting agendas, take detailed notes, distribute action items, and follow up on key decisions. 2. Travel & Expense Management: Coordinate complex domestic and international travel, including booking flights, hotels, and transportation. Review and submit expense reports for the CFO and finance team. 3. Correspondence & Documentation: Draft and edit correspondence, letters, emails, and presentations on behalf of the CFO. Maintain an organized filing system for important financial documents and records. 4. Financial Reporting & Project Support: Assist in compiling financial reports, gathering data, and preparing presentations for senior management and board meetings. Support special projects, including research, data analysis, and project management. 5. Liaison & Coordination: Act as a point of contact for internal and external stakeholders regarding financial matters. Facilitate communication and ensure timely follow-ups on financial and operational activities. Required Skills & Qualifications: Administrative Proficiency: Strong skills in calendar management, scheduling, and multitasking. Financial Acumen: Basic understanding of accounting principles, financial statements, and key financial metrics. Communication Skills: Excellent written and verbal communication to interact effectively with senior executives and diverse stakeholders. Confidentiality: Ability to handle sensitive financial information with discretion. Technical Proficiency: Expertise in Microsoft Office Suite (Word, Excel, PowerPoint); familiarity with financial software is a plus. Experience: 01 – 02 Year of relevant experience. Skills Required: Excellent Communication Proactive Approach Microsoft Excel Proficiency Confidence & Professionalism Work Schedule: Shift: 12:00 PM – 09:00 PM IST Days: Monday – Saturday Salary Range: ₹23,500 – ₹30,000 per month This position is an excellent opportunity for candidates looking to build a career in finance while gaining exposure to executive-level operations. If you are detail-oriented, proactive, and eager to support a fast-paced financial environment, we encourage you to apply! Job Types: Full-time, Permanent, Fresher Pay: ₹23,500.00 - ₹35,000.00 per month Benefits: Food provided Leave encashment Provident Fund Schedule: Fixed shift UK shift Supplemental Pay: Yearly bonus Experience: total work: 1 year (Preferred) Language: English (Required) Location: Navrangpura, Ahmedabad, Gujarat (Required) Work Location: In person

A civil storekeeper is responsible for managing inventory, ensuring accurate records, maintaining a clean and organized storage area, and fulfilling material requests for civil projects, while also ensuring proper stock control and adhering to safety regulations. Here's a more detailed breakdown of a civil storekeeper's responsibilities: Inventory Management & Stock Control: Receiving, Storing, and Issuing Materials: Receiving incoming materials, ensuring proper storage, and issuing materials as needed for civil projects. Maintaining Accurate Records: Keeping detailed records of inventory levels, stock movements, and receipts/dispatches. Conducting Regular Stock Audits: Performing periodic inventory checks to ensure accuracy and identify discrepancies. Reordering Stock: Identifying low-stock items and initiating timely reorders to avoid shortages. Rotating Stock: Implementing a first-in, first-out (FIFO) system to prevent obsolescence and spoilage. Managing Store Layout: Organizing the storage area efficiently to facilitate easy access and retrieval of materials. Record Keeping & Documentation: Maintaining Records: Keeping track of all incoming and outgoing materials, including dates, quantities, and relevant details. Preparing Reports: Generating reports on inventory levels, stock movements, and other relevant data. Ensuring Accuracy: Maintaining accurate records to ensure proper stock control and minimize errors. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Schedule: Day shift Work Location: In person

Job Requirements Role/ Job Title – ALM Specialist Department/ Function – Retail Risk Job Purpose The role holder has the responsibility to supervise the development of the bank’s balance sheet from a funding (including liquidity) and capital basis, in order to provide a view on the level of liquidity risk exposure relative to established risk appetite. Roles And Responsibilities Identify, assess, complete, measure, report on and monitor risks associated with ALM, which include interest rate, equity, foreign exchange, credit and liquidity risks Provide recommendations, implements and updates ALM measurement and reporting metrics as enumerated in the ALM Maintain a clear understanding of the bank’s Risk Management Policies associated with ALM work (various Investment policies, risk appetite, and stress testing) and ensures that those functions and the related guidelines are supportive of ALM requirements Liaise with Financial Control, ensure development of the gap statements for liquidity and profit rate sensitivity and regulatory submissions Develop liquidity contingency plan, assess the adequacy of ALM limits and propose an adequate liquidity risk appetite for management review and action Analyze financial statistical data quantitatively and qualitatively Ensure strict compliance of RBI and other regulatory guidelines Ensure a proper documentation system / mechanism is in place for effective storage and retrieval of information Supervise the preparation of timely and accurate liquidity risk MIS statements and reports to meet bank's and function requirements, policies and standards Present ideas via reports and presentations, outline findings and make recommendations for improvements Gather Latest Market intelligence and track and benchmark against best practices in competitor banks Capture and share best- practice knowledge amongst the team Recommend improvements to processes and policies across the Retail Banking business to drive operational efficiencies and high quality customer service Leverage in-house synergies through collaboration with internal stakeholders Create an environment that promotes collaborative learning and collective ownership of responsibilities Educational Qualifications Graduate – Any Post Graduate- Any Experience 7+ years of experience

Job Title: Office Administrator Company: R. Ginodia & Co. LLP Location: Kolkata, West Bengal, India Reports To: Office Manager / Senior Management Job Type: Full-time About R. Ginodia & Co. LLP: R. Ginodia & Co. LLP is a well-established and leading law firm in Kolkata, recognized for its expertise in diverse practice areas including dispute resolution, real estate, corporate, and insolvency law. With a legacy dating back to 1967, the firm is known for its commitment to excellence, client-centric approach, and a strong track record of success in handling complex legal matters for a wide range of clients, including prominent corporate entities and institutions. We offer a dynamic and supportive environment where legal professionals and support staff collaborate to deliver exceptional service. Job Summary: R. Ginodia & Co. LLP is seeking a proactive, highly organized, and efficient Office Administrator to manage the day-to-day administrative operations of our busy law firm. The ideal candidate will be instrumental in ensuring the smooth functioning of our office, providing comprehensive support across various administrative functions, and contributing to a productive work environment. This role requires excellent organizational skills, attention to detail, and the ability to handle multiple tasks in a confidential and professional manner within a legal setting. Key Responsibilities: · Office Operations & Management: o Oversee daily office administrative activities to ensure efficiency and compliance with firm policies. o Manage office supplies inventory, including procurement, stocking, and distribution, ensuring adequate supplies are always available. o Coordinate with vendors, service providers, and building management for office maintenance, repairs, and other services (e.g., IT support, cleaning, security). o Ensure all office equipment (printers, scanners, photocopiers, etc.) is in good working order and arrange for servicing as needed. · Facility & Resource Management: o Manage meeting room bookings and ensure they are well-prepared for internal and external meetings. o Assist in maintaining a secure and organized office environment, including managing access controls if applicable. o Coordinate logistical support for internal events, training sessions, or staff gatherings. · Administrative Support: o Provide general administrative support to various departments and legal teams as required. o Assist with document management, including filing (physical and electronic), archiving, and retrieval of sensitive legal documents and records. o Handle incoming and outgoing mail, couriers, and deliveries, ensuring timely distribution and dispatch. · Vendor & Billing Coordination: o Assist with basic accounting and reconciliation tasks related to office expenses. o Maintain vendor contracts and relationships. · Communication & Coordination: o Act as a point of contact for internal staff regarding administrative queries and support needs. o Facilitate communication between different departments and levels of staff. · Compliance & Confidentiality: o Adhere strictly to firm policies regarding confidentiality, data protection, and office procedures, particularly concerning sensitive legal information. Qualifications: · Education: Bachelor's degree from a recognized university. · Experience: o Minimum 5+ years of prior experience as an Office Administrator, Office Coordinator, or Senior Administrative Assistant in a professional office environment. o Prior experience in a law firm or a professional services organization is highly preferred. · Skills: o Exceptional organizational and multitasking abilities with a strong focus on efficiency and attention to detail. o Proficiency in MS Office Suite (Word, Excel, PowerPoint, Outlook) is essential. o Excellent written and verbal communication skills in English. Proficiency in Bengali and Hindi is highly desirable. What We Offer: · A professional, stimulating, and supportive work environment. · Competitive salary and benefits package commensurate with experience. · Opportunities for professional growth and development within office administration. To Apply: Interested candidates are invited to submit their updated resume along with a cover letter detailing their relevant experience and why they are a suitable fit for this role to recruitment@ginodia.net. Please mention "Application for Office Administrator - Law Firm" in the subject line.

Job Title : Documentation and Data Officer (IQAC) Department : Internal Quality Assurance Cell (IQAC) at Dayananda Sagar University, Bengaluru Reporting to : Director – IQAC Role Description: This is a full-time on-site role located in Bengaluru for a Documentation and Data Officer (IQAC) at Dayananda Sagar University. The role involves managing and governing data, analyzing and reporting data, and ensuring the accuracy and integrity of data. The officer will also communicate effectively with various departments to support the university’s quality assurance and improvement initiatives. Desired Skills & Qualifications: The Documentation and Data Officer will support the Internal Quality Assurance Cell (IQAC) by systematically managing institutional data, preparing reports, and ensuring accurate and timely documentation of academic and administrative processes. The Key responsibilities include, Maintain centralized repositories of data related to teaching-learning, research, student progression, feedback, and administrative processes. Collect, clean, and organize quantitative and qualitative data from departments for IQAC reporting. Systematically document all IQAC activities, meetings (including MoMs), quality initiatives, and institutional best practices. Create and update files/folders for academic audit, departmental reports, action taken reports, etc. Digitize, organize, and archive documentation for ease of retrieval and audit readiness. Assist in preparing SSR, AQAR, and other compliance documents in coordination with the IQAC team and departments. Track deadlines and documentation required for accreditations, affiliations, and rankings. Administer student/faculty/stakeholder feedback forms (online/offline). Analyze feedback using basic statistical tools and present summaries for decision-making. Coordinate with IT or ERP teams to extract institutional data for analysis. Bachelor's or Master’s degree in Data Science, Information Technology, or related field. Interested candidates can apply at careers@dsu.edu.in Date: 28-06-2025 Dr. D. Premachandra Sagar Pro Chancellor, DSU

Company Qualcomm India Private Limited Job Area Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary Qualcomm IT is seeking a Lead Conversational AI Developer for Intelligent Automation Center (IAC) Responsibilities Include Experience on designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI Hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search and Azure OpenAI Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI using Retrieval-Augmented Generation (RAG) or Agentic AI architecture Strong expertise in Python for building bot solutions Experience with Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Spell Check,Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending Copilot Agent and bot functionalities. Experience in software development with a focus on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform. Ensure quality of coded components by performing thorough unit testing and develop reusable test cases Work collaboratively with test teams for supporting Product testing and UAT Report status, issues and risks to tech leads on a regular basis Improve skills in automation products through certifications Train and coach team members on Conversational AI related technologies Work independently with minimal supervision and good team management skills Excellent communication and collaboration skills Provide timely status on assignments, planned activities, issues, and dependencies Good knowledge on Conversational AI on Microsoft Stack (Copilot Studio, Azure AI Foundry, Azure AI Search, Azure OpenAI) Good understanding of Generative AI concepts and Frameworks like Langchain Hands-on programming experience on Python and any frontend technology like Angular Minimum Qualifications 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelor’s degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL. Good understanding of conversational AI and Intelligent Automation methodologies and associated tools & technologies Knowledge of Process Mining concepts and implementation expereience using Celonis inclusing data models and dasboards Experience in business process diagrams and process flow charts with Automation Anywhere Certification in Industry Leading Robotic Automation products is a plus. Experience in identifying the right processes for Automation and providing estimates for implementations Programming concepts and coding background in Python Understanding of RDBMS concepts and writing SQL queries Expereience in Cloud (preferrably AWS) and certifications is a plus Experience in Agile development using standard tools like Jira Bachelor's degree and 5+ years IT-relevant work experience Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3074718

The University of Hong Kong Apply now Ref.: 532151 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Hong Kong Applications are invited for appointment as Research Officer (RO)/ Assistant Research Officer (ARO) in Division of Epidemiology and Biostatistics, School of Public Health (Ref.: 532151), to commence on 1 November 2025 for up to one year on temporary basis, or two to three years on fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should hold a PhD degree in epidemiology, biostatistics, public health or related disciplines from a leading research institution. A minimum of 5 years of relevant research/postdoctoral experience is required, including proven proficiency in developing artificial intelligence (AI) models using both online and offline large language models (LLMs) such as GPT, Qwen, DeepSeek, Mistral, Llama, and Gemma. Familiarity with Linux environments is essential, along with advanced Python programming skills for processing annotated data, implementing fine-tuning techniques (e.g., Chain-of-Thought, Retrieval Augmented Generation), and optimizing outputs through cross-referencing and ensemble strategies. Experience in developing oncology-focused natural language processing (NLP) models with related publications will be advantageous. Strong quantitative research capabilities are critical, including extracting and analysing large electronic health records from the Hospital Authority using R, STATA, or SAS, and conducting costing/cost-effectiveness analyses. Applicants must have hands-on experience in securing competitive grants as principal investigators or co-investigators, managing patient recruitment, preparing IRB applications, and drafting press releases. Exceptional bilingual communication skills (English and Chinese) and the ability to work both independently and collaboratively in multidisciplinary teams are essential. Those with lower qualifications or less experience may be appointed as ARO. The appointee will implement AI models using diverse LLMs to analyse unstructured clinical notes from public sources and the Hospital Authority. Key responsibilities include supporting the development of AI clinical decision support systems for practical clinical use, participating in territory-wide epidemiological studies to evaluate intervention/vaccine effectiveness using electronic health records, and assisting in project coordination. Operational duties encompass overseeing patient recruitment/follow-up, preparing IRB submissions, drafting manuscripts and press releases, and contributing to grant applications from conception to execution. The role requires active liaison with clinical co-investigators and stakeholders to ensure project alignment. Enquiries about the duties of the post should be sent to Ms Audrey Ho at audreyh@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical/dental benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 10% of basic salary for ARO, and 15% for RO. Housing benefits will also be provided to RO on a fixed-term appointment as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start on June 19, 2025, and continue until September 4, 2025 , or until the post is filled, whichever is earlier. Advertised: Jun 5, 2025 (HK Time) Applications close: Sep 4, 2025 (HK Time) Back to search results Apply now Whatsapp Facebook LinkedIn Email App