3931 Retrieval Jobs - Page 2

Job Title: Convoso Administrator Expert Location: 📍 Remote | Flexible Hours Hourly Rate : ₹400–₹700 per hour based on Platform experience and expertise 💡 About Empathy Technologies At Empathy Technologies, we’re more than a tech company — we’re builders of intelligent systems that help modern businesses automate, scale, and thrive. Our focus lies in Microsoft 365, Power Platform, AI/LLM automation, and creating truly useful digital experiences for teams. Job Summary We are seeking a highly skilled and detail-oriented Convoso Expert to manage, optimize, and support our Convoso dialer platform. This role is critical to ensuring seamless campaign execution, lead vendor integrations, agent queue configurations, and compliance with operational protocols. The ideal candidate will have hands-on experience with Convoso’s administrative tools, API integrations, and troubleshooting workflows. Key Responsibilities Configure and manage Convoso campaigns, queues, and user roles (agents, managers, vendors). Create and manage DIDs for lead vendors and ensure proper routing and state-level compliance. Develop and maintain API plugins for lead vendor integrations. Troubleshoot login, call quality, and routing issues in collaboration with Convoso support. Maintain SOP documentation and training materials for internal teams. Coordinate with staffing and contracting teams to onboard new agents and ensure proper access control. Monitor system performance and proactively resolve issues related to call drops, dead air, or misrouted calls. Collaborate with IT and compliance teams to support data storage, call recording retrieval, and FTP/SharePoint integrations. Required Skills and Qualifications Proven experience administering Convoso or similar contact center platforms. Strong understanding of VoIP systems, call routing logic, and lead management. Familiarity with API development and integration workflows. Excellent problem-solving skills and ability to work under pressure. Strong communication skills to coordinate with cross-functional teams and external vendors. Experience with documentation and SOP creation is a plus. Preferred Qualifications Prior experience in a healthcare or insurance sales environment. Knowledge of state licensing and compliance requirements for outbound calling. Familiarity with Microsoft SharePoint, Blob Storage, or other cloud-based storage solutions. What is Convoso? Convoso is a leading cloud-based contact center software designed to help outbound sales teams boost productivity through smart automation, AI-powered tools, and real-time performance insights. It offers features like: Intelligent call routing and queue management Advanced lead management and reporting Omnichannel outreach: voice, SMS, and email High-speed auto dialer with predictive capabilities API integrations to connect with CRMs and lead vendors 📺 Learn more about how Convoso works: Convoso Overview Video 📬 How to Apply Drop us a note with your CV, a short note about your Convoso experience. 💌 careers@empathytechnologies.in 🌐 www.empathytechnologies.com Empathy Technologies – Because great tech only works when it works flawlessly.

🔍 Job Title: Lead – Generative AI / LLM Engineer 📍 Locations: Onsite – Bangalore, Noida, Gurugram, Pune, Chennai, Hyderabad 🕒 Experience: 5–12 Years (with 3–4 years in Generative AI / LLMs) 💼 Employment Type: Full-Time About the Role We are seeking a seasoned professional with a deep understanding of Large Language Models (LLMs) and Generative AI to lead innovative projects in this rapidly evolving domain. The ideal candidate brings both hands-on expertise and thought leadership to architect, build, and optimize GenAI solutions at scale. Key Responsibilities Design, implement, and fine-tune applications leveraging LLMs and GenAI architectures. Work with vector databases (e.g., FAISS, Pinecone) and embedding models for semantic search. Lead efforts in prompt engineering, fine-tuning, and deployment of custom LLM pipelines. Collaborate across functions to identify GenAI use cases and deliver impactful solutions. Mentor team members and drive knowledge sharing on GenAI trends and best practices. Ensure high-performance, scalable deployment on cloud platforms like AWS, Azure, or GCP. Required Skills & Experience 5–12 years in Machine Learning / Software Engineering, with 3–4 years specifically in LLMs & Generative AI. Strong programming skills in Python , LangChain , and SQL . Proven expertise in: Prompt tuning Embedding models & vector stores LLM agent frameworks Familiarity with cloud infrastructure – AWS, Azure, or GCP. Understanding of ML workflows, including model training , MLOps , and deployment strategies . Excellent communication and collaboration skills to engage with both technical and business teams. Nice to Have Experience with tools like Hugging Face, OpenAI APIs, or open-source LLMs. Exposure to Retrieval-Augmented Generation (RAG) pipelines and document processing. Why Join Us? Be part of a forward-thinking team driving real-world impact with the latest in AI. If you are passionate about cutting-edge AI technologies and want to lead transformative initiatives, we’d love to talk to you.

Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development in embedded domain, data structures, algorithms, and software design. 3 years of experience with design, development, and testing of embedded software drivers for the next generation smart devices. 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in people management. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with interface protocols (e.g., USB, SPI, I2C, UART, UFS, PCIe), power management, system integration including software stacks, and drivers. Experience with ARM or other low-power SoC architectures, memory system, fabric etc. Experience working with hardware designers/reading schematics. Knowledge of embedded systems development, RTOS concepts, device drivers and hardware/software integration. 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. As a Software Engineer in Firmware and Silicon, you will work across both hardware and software domains. Our vertically integrated team spans the entire stack, from hardware development through applications. You will manage a team of developers responsible for delivering firmware, libraries, and tools that support silicon validation and the productization of Google custom silicon. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Manage a team of developers to deliver firmware, libraries, and tools for silicon validation and productization of Google custom silicon. Develop new software, hardware, and system architecture to support future applications. Design, development, and testing of embedded software drivers for the next generation smart devices. Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). 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

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Java Standard Edition Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot software problems, ensuring that systems run smoothly and efficiently, and implementing solutions that enhance system performance and reliability. You will engage with stakeholders to understand their needs and provide timely resolutions to their inquiries, contributing to the overall success of the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the development and implementation of best practices for application support. - Document and maintain records of issues and resolutions to improve future troubleshooting efforts. Professional & Technical Skills: - Must To Have Skills: Proficiency in Java Standard Edition. - Strong understanding of object-oriented programming principles. - Experience with debugging and troubleshooting Java applications. - Familiarity with application performance monitoring tools. - Ability to work with databases and SQL for data retrieval and manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Java Standard Edition. - This position is based at our Pune office. - A 15 years full time education is required.

About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Role Overview: We are seeking an experienced AI Product Manager to own the lifecycle of machine-learning and generative-AI products—from concept through launch and iteration. You’ll translate market and user insights into clear roadmaps, partner with engineering and data-science teams to deliver scalable solutions, and measure impact against business KPIs. Experience: 7 – 9years overall (incl.3 + years in ML / data-platform products) Only Immediate joiners preferred!! Location: Hyderabad Responsibilities: Product strategy & vision Define long-term AI product strategy aligned with company OKRs and market trends. Champion user problems, competitive differentiators, and regulatory considerations. Roadmap & backlog ownership Convert strategy into epics, user stories, and acceptance criteria; prioritise using data-driven frameworks. Maintain a groomed backlog and lead sprint planning with cross-functional squads. End-to-end delivery Collaborate daily with engineering, data science, UX, QA, and DevOps to ship high-quality releases. Drive trade-off decisions on model choices (e.g., classical ML vs. LLM), latency, cost, and privacy. User & stakeholder engagement Conduct discovery interviews, usability testing, and beta programs with target users (developers, analysts, business owners). Present roadmaps, release demos, and performance updates to executive leadership and customers. Metrics & continuous improvement Define success KPIs (adoption, NPS, accuracy, cost per inference, ARR). Monitor dashboards and run A/B tests to optimize. Capture feedback loops to iterate on prompts, models, or feature sets. Market & ecosystem awareness Track advances in AI frameworks, vector databases, model hosting, and responsible-AI standards. Evaluate build / partner / buy options and recommend platform integrations or third-party partnerships. Qualifications : 7-9 years total product-management experience, including 3+ years with AI / ML / data-platform products. Proven track record shipping B2B SaaS, platform APIs, or developer-tooling features end-to-end. Hands-on familiarity with AI concepts: supervised vs. unsupervised learning, model evaluation, prompt engineering, retrieval-augmented generation, MLOps pipelines. Ability to write clear PRDs, epics, and technical diagrams; comfortable using Jira, Confluence, or equivalent. Strong analytical skills; fluent with SQL/BI tools for product metrics. Excellent communication and stakeholder-management skills across business and technical audiences. Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience. Preferred / nice to have Experience with vector databases, LLM fine-tuning, or agentic AI orchestration. Understanding of cloud AI services (AWS, GCP, Azure) and cost-optimisation levers. Familiarity with responsible-AI frameworks and governance in regulated industries. MBA from Tier-1 Institution

Job Title : Databricks Automation Specialist Job Type : Full-time, Contractor Location : Hybrid - Hyderabad | Pune| Delhi About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking a detail-oriented and innovative Databricks Automation Specialist to join our customer's team. In this critical role, you will design, develop, and execute automated tests to ensure the quality, reliability, and integrity of data within Databricks environments. If you are passionate about data quality, thrive in collaborative environments, and excel at both written and verbal communication, we'd love to meet you. Key Responsibilities: Design, develop, and maintain robust automated test scripts using Python, Selenium, and SQL to validate data integrity within Databricks environments. Execute comprehensive data validation and verification activities to ensure accuracy and consistency across multiple systems, data warehouses, and data lakes. Create detailed and effective test plans and test cases based on technical requirements and business specifications. Integrate automated tests with CI/CD pipelines to facilitate seamless and efficient testing and deployment processes. Work collaboratively with data engineers, developers, and other stakeholders to gather data requirements and achieve comprehensive test coverage. Document test cases, results, and identified defects; communicate findings clearly to the team. Conduct performance testing to ensure data processing and retrieval meet established benchmarks. Provide mentorship and guidance to junior team members, promoting best practices in test automation and data validation. Required Skills and Qualifications: Strong proficiency in Python, Selenium, and SQL for developing test automation solutions. Hands-on experience with Databricks, data warehouse, and data lake architectures. Proven expertise in automated testing of data pipelines, preferably with tools such as Apache Airflow, dbt Test, or similar. Proficient in integrating automated tests within CI/CD pipelines on cloud platforms (AWS, Azure preferred). Excellent written and verbal communication skills with the ability to translate technical concepts to diverse audiences. Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Demonstrated problem-solving skills and a collaborative approach to teamwork. Preferred Qualifications: Experience with implementing security and data protection measures in data-driven applications. Ability to integrate user-facing elements with server-side logic for seamless data experiences. Demonstrated passion for continuous improvement in test automation processes, tools, and methodologies.

We at Grid Dynamics looking for a GEN AI engineer who can join us immediately(max 15 days) for Hyderabad Location Experience : 3 to 8 years Location : Hyderabad NP : Max 15 days Required Qualifications: 3+ years of professional software development experience with strong proficiency in Python . Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs). Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG). Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers). Solid understanding of software engineering principles, including API design, data structures, and algorithms. Experience with version control systems (e.g., Git). Ability to work effectively in a collaborative team environment. If interested, please share your updated resume with me at fjayaraj@griddynamics.com along with the details required. I will get back to you shortly with next steps. Current CTC Expected CTC Notice Period

Job Description The Opportunity: We need brilliant minds who can solve hard problems. We are building a small but mighty AI/ML team that's transforming how financial institutions handle compliance. This isn't about building flashy demos -- we're creating real solutions that keep our customers out of trouble with regulators while saving them countless hours of manual work. What You Will Do Prototype GenAI components including vector search, retrieval-augmented generation, and lightweight LLM fine-tuning, then move promising ideas into production Write clear Python code, test it thoroughly, benchmark against real data, and iterate to improve performance Work in short release cycles: design review → code → deploy → monitor → fix Collaborate with product, DevOps, and domain specialists to translate compliance requirements into working code Working At Facctum We ship compliance tech that banks rely on. Teams are small; decisions move fast; code earns its keep only when it runs in production. Work mode: Hybrid by default (few days from office and work from office on remaining days). Fully onsite or remote considered for the right person. Growth: Mentorship from senior engineers, hands-on exposure to cutting-edge GenAI, and visibility across the entire product lifecycle. Requirements Skills and experience we need: 2-3 years hands-on machine-learning development in Python Solid grasp of data structures, algorithms, and basic statistics Familiarity with a deep-learning toolkit (PyTorch, TensorFlow, or similar) Exposure to LLMs and related tooling (LangChain, LlamaIndex, etc.) and vector databases Comfort with Git and CI/CD basics Nice to have: AWS experience (we host and orchestrate on AWS), but it isn't mandatory check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#9647FD;border-color:#9647FD;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Skills: Python, SQL, FastAPI, AI, LLM Integration, Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, Are you ready to build the future of AI in finance? At Dwellfi , we're not just building another tech product; we are building the definitive AI-native vertical platform for the private markets. Our mission is to fundamentally reshape how investment and operations are conducted in this multi-trillion dollar industry. We are a team of passionate builders in a fast-paced, high-growth startup environment, and we're looking for an exceptional AI Agent Developer to be a core part of our journey. This isn't your average developer role. This is a life-changing opportunity to get in on the engine room of a venture with unparalleled potential for growth and financial reward. We are looking for a self-driven individual who thrives on challenges, learns at lightning speed, and is relentlessly focused on delivering groundbreaking innovation. What You'll Do (The Mission) As an AI Agent Developer, you won't just be writing codeyou'll be the architect of intelligent systems that power our platform. You will have the autonomy to: Design & Build: Own the end-to-end development of sophisticated AI agents that analyze data, automate workflows, and provide insights for private market professionals. Innovate with LLMs: Mastermind agent orchestration and craft sophisticated prompts to unlock the full potential of large language models for financial applications. Build the Backbone: Develop clean, scalable, and robust APIs using FastAPI that allow our agents to interact seamlessly with complex financial data. Collaborate & Create: Work closely with a tight-knit team of product, design, and engineering experts to bring ambitious ideas to life. Push the Boundaries: Stay on the cutting edge of AI, constantly exploring new technologies and techniques to ensure we remain at the forefront of the industry. Optimize for Excellence: Leverage AI-powered tools and rigorous testing to write high-quality, efficient, and maintainable Python code. Who You Are (The Qualifications) You're the ideal candidate if you have a blend of backend prowess and a passion for the evolving world of AI. A Bachelor's degree or Diploma in Computer Science/Engineering (or equivalent hands-on experience in software development with an AI focus). 1+ years of backend development experience using Python (if you're a pro with another language but can learn Python quickly, we're interested). Proven experience in the AI/ML space with a solid grasp of AI agent architectures. Technical proficiency with some of our core technologies: FastAPI/Django, PostgreSQL (or other SQL DBs), and task queues like Celery. A natural problem-solver with strong analytical skills. An excellent communicator and collaborator who thrives in a team environment. Familiarity with unit testing (like Pytest) is a big plus. Bonus Points (What Makes You Stand Out) You have an entrepreneurial spirit and have experienced the "0-to-1" phase of an early-stage startup. You've worked with major LLM providers like OpenAI, Google (Gemini), or Anthropic. You're familiar with agentic frameworks such as LangChain or LlamaIndex. You have experience with vector databases (e.g., PG Vector, Pinecone) for RAG applications. You've built and managed CI/CD pipelines on cloud platforms like AWS, GCP, or Azure. Why Join Us? This is more than a job. It's a chance to make your mark, build something truly innovative in the world of finance, and be rewarded for your dedication and impact. If you're ready for the challenge, we'd love to hear from you.

Skills: Python, SQL, FastAPI, AI, LLM Integration, Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, Are you ready to build the future of AI in finance? At Dwellfi , we're not just building another tech product; we are building the definitive AI-native vertical platform for the private markets. Our mission is to fundamentally reshape how investment and operations are conducted in this multi-trillion dollar industry. We are a team of passionate builders in a fast-paced, high-growth startup environment, and we're looking for an exceptional AI Agent Developer to be a core part of our journey. This isn't your average developer role. This is a life-changing opportunity to get in on the engine room of a venture with unparalleled potential for growth and financial reward. We are looking for a self-driven individual who thrives on challenges, learns at lightning speed, and is relentlessly focused on delivering groundbreaking innovation. What You'll Do (The Mission) As an AI Agent Developer, you won't just be writing codeyou'll be the architect of intelligent systems that power our platform. You will have the autonomy to: Design & Build: Own the end-to-end development of sophisticated AI agents that analyze data, automate workflows, and provide insights for private market professionals. Innovate with LLMs: Mastermind agent orchestration and craft sophisticated prompts to unlock the full potential of large language models for financial applications. Build the Backbone: Develop clean, scalable, and robust APIs using FastAPI that allow our agents to interact seamlessly with complex financial data. Collaborate & Create: Work closely with a tight-knit team of product, design, and engineering experts to bring ambitious ideas to life. Push the Boundaries: Stay on the cutting edge of AI, constantly exploring new technologies and techniques to ensure we remain at the forefront of the industry. Optimize for Excellence: Leverage AI-powered tools and rigorous testing to write high-quality, efficient, and maintainable Python code. Who You Are (The Qualifications) You're the ideal candidate if you have a blend of backend prowess and a passion for the evolving world of AI. A Bachelor's degree or Diploma in Computer Science/Engineering (or equivalent hands-on experience in software development with an AI focus). 1+ years of backend development experience using Python (if you're a pro with another language but can learn Python quickly, we're interested). Proven experience in the AI/ML space with a solid grasp of AI agent architectures. Technical proficiency with some of our core technologies: FastAPI/Django, PostgreSQL (or other SQL DBs), and task queues like Celery. A natural problem-solver with strong analytical skills. An excellent communicator and collaborator who thrives in a team environment. Familiarity with unit testing (like Pytest) is a big plus. Bonus Points (What Makes You Stand Out) You have an entrepreneurial spirit and have experienced the "0-to-1" phase of an early-stage startup. You've worked with major LLM providers like OpenAI, Google (Gemini), or Anthropic. You're familiar with agentic frameworks such as LangChain or LlamaIndex. You have experience with vector databases (e.g., PG Vector, Pinecone) for RAG applications. You've built and managed CI/CD pipelines on cloud platforms like AWS, GCP, or Azure. Why Join Us? This is more than a job. It's a chance to make your mark, build something truly innovative in the world of finance, and be rewarded for your dedication and impact. If you're ready for the challenge, we'd love to hear from you.

Skills: Python, SQL, FastAPI, AI, LLM Integration, Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, Are you ready to build the future of AI in finance? At Dwellfi , we're not just building another tech product; we are building the definitive AI-native vertical platform for the private markets. Our mission is to fundamentally reshape how investment and operations are conducted in this multi-trillion dollar industry. We are a team of passionate builders in a fast-paced, high-growth startup environment, and we're looking for an exceptional AI Agent Developer to be a core part of our journey. This isn't your average developer role. This is a life-changing opportunity to get in on the engine room of a venture with unparalleled potential for growth and financial reward. We are looking for a self-driven individual who thrives on challenges, learns at lightning speed, and is relentlessly focused on delivering groundbreaking innovation. What You'll Do (The Mission) As an AI Agent Developer, you won't just be writing codeyou'll be the architect of intelligent systems that power our platform. You will have the autonomy to: Design & Build: Own the end-to-end development of sophisticated AI agents that analyze data, automate workflows, and provide insights for private market professionals. Innovate with LLMs: Mastermind agent orchestration and craft sophisticated prompts to unlock the full potential of large language models for financial applications. Build the Backbone: Develop clean, scalable, and robust APIs using FastAPI that allow our agents to interact seamlessly with complex financial data. Collaborate & Create: Work closely with a tight-knit team of product, design, and engineering experts to bring ambitious ideas to life. Push the Boundaries: Stay on the cutting edge of AI, constantly exploring new technologies and techniques to ensure we remain at the forefront of the industry. Optimize for Excellence: Leverage AI-powered tools and rigorous testing to write high-quality, efficient, and maintainable Python code. Who You Are (The Qualifications) You're the ideal candidate if you have a blend of backend prowess and a passion for the evolving world of AI. A Bachelor's degree or Diploma in Computer Science/Engineering (or equivalent hands-on experience in software development with an AI focus). 1+ years of backend development experience using Python (if you're a pro with another language but can learn Python quickly, we're interested). Proven experience in the AI/ML space with a solid grasp of AI agent architectures. Technical proficiency with some of our core technologies: FastAPI/Django, PostgreSQL (or other SQL DBs), and task queues like Celery. A natural problem-solver with strong analytical skills. An excellent communicator and collaborator who thrives in a team environment. Familiarity with unit testing (like Pytest) is a big plus. Bonus Points (What Makes You Stand Out) You have an entrepreneurial spirit and have experienced the "0-to-1" phase of an early-stage startup. You've worked with major LLM providers like OpenAI, Google (Gemini), or Anthropic. You're familiar with agentic frameworks such as LangChain or LlamaIndex. You have experience with vector databases (e.g., PG Vector, Pinecone) for RAG applications. You've built and managed CI/CD pipelines on cloud platforms like AWS, GCP, or Azure. Why Join Us? This is more than a job. It's a chance to make your mark, build something truly innovative in the world of finance, and be rewarded for your dedication and impact. If you're ready for the challenge, we'd love to hear from you.

Join us as a Data & Records Governance Lead at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with Data and Records Management & Governance, Data Lineage, Data Controls, as well as job-specific skillsets. To be successful as a Data & Records Governance Lead, you should have experience with: Basic/ Essential Qualifications Strategic Vision and Leadership. Data Governance and Quality Management. Knowledge that includes data architecture, integration, analytics, Artificial Intelligence, or Cloud computing. Desirable Skillsets/ Good To Have Data Modelling. Knowledge of Data Architecture or experience with working with Data Architects. Data Sourcing & Provisioning. Data Analytics. Data Privacy and Security. This role will be based out of Pune. Purpose of the role To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. Accountabilities Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Monitoring data quality and records metrics and compliance with standards across the organization. Identification and addressing of data and records management risks and gaps. Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records. Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives. Provision of Group wide guidance and training on Data and Records Management standard requirements. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Skills: Python, SQL, FastAPI, AI, LLM Integration, Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, Are you ready to build the future of AI in finance? At Dwellfi , we're not just building another tech product; we are building the definitive AI-native vertical platform for the private markets. Our mission is to fundamentally reshape how investment and operations are conducted in this multi-trillion dollar industry. We are a team of passionate builders in a fast-paced, high-growth startup environment, and we're looking for an exceptional AI Agent Developer to be a core part of our journey. This isn't your average developer role. This is a life-changing opportunity to get in on the engine room of a venture with unparalleled potential for growth and financial reward. We are looking for a self-driven individual who thrives on challenges, learns at lightning speed, and is relentlessly focused on delivering groundbreaking innovation. What You'll Do (The Mission) As an AI Agent Developer, you won't just be writing codeyou'll be the architect of intelligent systems that power our platform. You will have the autonomy to: Design & Build: Own the end-to-end development of sophisticated AI agents that analyze data, automate workflows, and provide insights for private market professionals. Innovate with LLMs: Mastermind agent orchestration and craft sophisticated prompts to unlock the full potential of large language models for financial applications. Build the Backbone: Develop clean, scalable, and robust APIs using FastAPI that allow our agents to interact seamlessly with complex financial data. Collaborate & Create: Work closely with a tight-knit team of product, design, and engineering experts to bring ambitious ideas to life. Push the Boundaries: Stay on the cutting edge of AI, constantly exploring new technologies and techniques to ensure we remain at the forefront of the industry. Optimize for Excellence: Leverage AI-powered tools and rigorous testing to write high-quality, efficient, and maintainable Python code. Who You Are (The Qualifications) You're the ideal candidate if you have a blend of backend prowess and a passion for the evolving world of AI. A Bachelor's degree or Diploma in Computer Science/Engineering (or equivalent hands-on experience in software development with an AI focus). 1+ years of backend development experience using Python (if you're a pro with another language but can learn Python quickly, we're interested). Proven experience in the AI/ML space with a solid grasp of AI agent architectures. Technical proficiency with some of our core technologies: FastAPI/Django, PostgreSQL (or other SQL DBs), and task queues like Celery. A natural problem-solver with strong analytical skills. An excellent communicator and collaborator who thrives in a team environment. Familiarity with unit testing (like Pytest) is a big plus. Bonus Points (What Makes You Stand Out) You have an entrepreneurial spirit and have experienced the "0-to-1" phase of an early-stage startup. You've worked with major LLM providers like OpenAI, Google (Gemini), or Anthropic. You're familiar with agentic frameworks such as LangChain or LlamaIndex. You have experience with vector databases (e.g., PG Vector, Pinecone) for RAG applications. You've built and managed CI/CD pipelines on cloud platforms like AWS, GCP, or Azure. Why Join Us? This is more than a job. It's a chance to make your mark, build something truly innovative in the world of finance, and be rewarded for your dedication and impact. If you're ready for the challenge, we'd love to hear from you.

Join us as a Data & Records Governance Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with Data and Records Management & Governance, Data Lineage, Data Controls, as well as job-specific skillsets. To be successful as a Data & Records Governance Analyst, you should have experience with: Basic/ Essential Qualifications Strategic Vision and Leadership. Data Governance and Quality Management. Knowledge that includes data architecture, integration, analytics, Artificial Intelligence, or Cloud computing. Desirable Skillsets/ Good To Have Data Modelling. Knowledge of Data Architecture or experience with working with Data Architects. Data Sourcing & Provisioning. Data Analytics. Data Privacy and Security. This role will be based out of Pune. Purpose of the role To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. Accountabilities Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Monitoring data quality and records metrics and compliance with standards across the organization. Identification and addressing of data and records management risks and gaps. Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records. Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives. Provision of Group wide guidance and training on Data and Records Management standard requirements. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Skills: Python, SQL, FastAPI, AI, LLM Integration, Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, Are you ready to build the future of AI in finance? At Dwellfi , we're not just building another tech product; we are building the definitive AI-native vertical platform for the private markets. Our mission is to fundamentally reshape how investment and operations are conducted in this multi-trillion dollar industry. We are a team of passionate builders in a fast-paced, high-growth startup environment, and we're looking for an exceptional AI Agent Developer to be a core part of our journey. This isn't your average developer role. This is a life-changing opportunity to get in on the engine room of a venture with unparalleled potential for growth and financial reward. We are looking for a self-driven individual who thrives on challenges, learns at lightning speed, and is relentlessly focused on delivering groundbreaking innovation. What You'll Do (The Mission) As an AI Agent Developer, you won't just be writing codeyou'll be the architect of intelligent systems that power our platform. You will have the autonomy to: Design & Build: Own the end-to-end development of sophisticated AI agents that analyze data, automate workflows, and provide insights for private market professionals. Innovate with LLMs: Mastermind agent orchestration and craft sophisticated prompts to unlock the full potential of large language models for financial applications. Build the Backbone: Develop clean, scalable, and robust APIs using FastAPI that allow our agents to interact seamlessly with complex financial data. Collaborate & Create: Work closely with a tight-knit team of product, design, and engineering experts to bring ambitious ideas to life. Push the Boundaries: Stay on the cutting edge of AI, constantly exploring new technologies and techniques to ensure we remain at the forefront of the industry. Optimize for Excellence: Leverage AI-powered tools and rigorous testing to write high-quality, efficient, and maintainable Python code. Who You Are (The Qualifications) You're the ideal candidate if you have a blend of backend prowess and a passion for the evolving world of AI. A Bachelor's degree or Diploma in Computer Science/Engineering (or equivalent hands-on experience in software development with an AI focus). 1+ years of backend development experience using Python (if you're a pro with another language but can learn Python quickly, we're interested). Proven experience in the AI/ML space with a solid grasp of AI agent architectures. Technical proficiency with some of our core technologies: FastAPI/Django, PostgreSQL (or other SQL DBs), and task queues like Celery. A natural problem-solver with strong analytical skills. An excellent communicator and collaborator who thrives in a team environment. Familiarity with unit testing (like Pytest) is a big plus. Bonus Points (What Makes You Stand Out) You have an entrepreneurial spirit and have experienced the "0-to-1" phase of an early-stage startup. You've worked with major LLM providers like OpenAI, Google (Gemini), or Anthropic. You're familiar with agentic frameworks such as LangChain or LlamaIndex. You have experience with vector databases (e.g., PG Vector, Pinecone) for RAG applications. You've built and managed CI/CD pipelines on cloud platforms like AWS, GCP, or Azure. Why Join Us? This is more than a job. It's a chance to make your mark, build something truly innovative in the world of finance, and be rewarded for your dedication and impact. If you're ready for the challenge, we'd love to hear from you.

Join us as a Data & Records Governance Lead at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with Data and Records Management & Governance, Data Lineage, Data Controls, as well as job-specific skillsets. To be successful as a Data & Records Governance Lead, you should have experience with: Basic/ Essential Qualifications Strategic Vision and Leadership. Data Governance and Quality Management. Knowledge that includes data architecture, integration, analytics, Artificial Intelligence, or Cloud computing. Desirable Skillsets/ Good To Have Data Modelling. Knowledge of Data Architecture or experience with working with Data Architects. Data Sourcing & Provisioning. Data Analytics. Data Privacy and Security. This role will be based out of Pune. Purpose of the role To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. Accountabilities Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Monitoring data quality and records metrics and compliance with standards across the organization. Identification and addressing of data and records management risks and gaps. Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records. Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives. Provision of Group wide guidance and training on Data and Records Management standard requirements. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window)

Join us as a Data & Records Governance Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with Data and Records Management & Governance, Data Lineage, Data Controls, as well as job-specific skillsets. To be successful as a Data & Records Governance Analyst, you should have experience with: Basic/ Essential Qualifications Strategic Vision and Leadership. Data Governance and Quality Management. Knowledge that includes data architecture, integration, analytics, Artificial Intelligence, or Cloud computing. Desirable Skillsets/ Good To Have Data Modelling. Knowledge of Data Architecture or experience with working with Data Architects. Data Sourcing & Provisioning. Data Analytics. Data Privacy and Security. This role will be based out of Pune. Purpose of the role To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. Accountabilities Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Monitoring data quality and records metrics and compliance with standards across the organization. Identification and addressing of data and records management risks and gaps. Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records. Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives. Provision of Group wide guidance and training on Data and Records Management standard requirements. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window)

Req ID: 312427 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Pune, Mahārāshtra (IN-MH), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor’s degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team. #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

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 .

About Us Rexera is on a mission to transform the $36.2 trillion residential real estate industry. We're building innovative AI Agents that are streamlining real estate transactions, and we're proud to be working with some of the leading Title & Escrow companies, Lenders, and Investors in the field. Powered by recent advancements in AI, our proprietary data, and our team's extensive real estate experience, we help our customers increase operational efficiency, decrease risks and costs, close more files, spend more time with their customers, and increase revenue through referrals. We're passionate about redefining how real estate transactions are conducted, creating more efficient and effective processes for all stakeholders. If you're excited about the potential of AI in real estate and want to be part of this innovative journey, we invite you to join our team. Discover more about our mission and our impactful work at https://www.rexera.com/ and connect with us on LinkedIn at https://www.linkedin.com/company/rexera/mycompany/. Be part of the team that's building the future of real estate, one AI-powered transaction at a time! Rexera was founded in 2020 and raised over $6 million in seed money from investors such as Inventus Capital, SVQuad, Dheeraj Pandey, and more. It is led by its co-founders Vishrut Malhotra (ex-BlackRock and AQR), Anton Tonev (ex-Morgan Stanley and AQR), and Atin Hindocha (ex-NetApp and BlackBerry). Rexera is headquartered in California and has offices in India and Bulgaria. Purpose Of The Role Operations Analysts need to understand how unpaid government dues can block a sale or affect property value. Their job ensures that liens are found, verified, and reported—protecting both the lender and the buyer. It’s about ensuring clean titles and safeguarding the property's role as collateral. The Operations Analyst role involves researching, analyzing, and reporting on municipal liens to ensure accurate data management and compliance, facilitating informed decision-making in real estate transactions Voice-Based Communication: Make outbound calls to municipal bodies in the U.S. to collect property-related data. US Administrative Structures Knowledge: Analyze and understand administrative frameworks across counties, cities, municipalities, towns, and townships in the US to ensure accurate data management. Property Tax and Lien Analysis: Research and evaluate property tax calculations, assessment methods, payment procedures, and lien processes to support effective decision-making. Lien Management: Proficiently handle property liens, including obtaining lien payoffs, clearing liens, and assessing their impact on property transactions. Government Website Navigation: Navigate government portals effectively to retrieve essential information on permits, code enforcement, utilities, and property taxes. Regulatory Monitoring: Stay updated on changes in website layouts and content to maintain accuracy in information retrieval and reporting. Code Violations & Permits Management: Analyze code violations, understand their implications for property ownership, and develop strategies for resolution, including managing distinctions between open and expired permits. Utility Services Understanding: Research utility services in US homes and analyze billing processes for both public and private utility providers. Team Collaboration: Collaborate with team members to ensure effective execution of tasks and promote continuous professional development. Essential Skills Strong verbal and written communication skills with fluent English and an accent that is easily understood by American clients. Comfortable making outbound calls as part of a voice process. Proven ability to communicate effectively with government officials, property owners, and stakeholders to resolve lien-related matters. Proficiency in using online research tools and computer software for data collection and management. Exceptional organizational skills with strong problem-solving abilities. Detail-oriented with the capability to manage multiple tasks and projects concurrently. Desired Skills Prior experience as a municipal lien analyst or working with US property liens and local government entities will be preferred Knowledge of permit search, code & real estate transactions, particularly as they relate to liens and tax procedures, is a strong advantage. Education And Experience Bachelor’s degree in Public Administration, Real Estate, Finance, or a related field. We are also open to applications from freshers who possess excellent communication skills and a strong motivation to work in operations. 0-2 years of experience is required in any service industry. Shift timings: 9:00 pm to 6:00 am IST Location: HSR Layout, Bangalore, India Apart from a competitive compensation package with bonus opportunities, We Offer An intellectually stimulating environment where you'll collaborate with colleagues across the US, Bulgaria, and India. Robust career development with pathways for internal mobility and professional growth. Comprehensive paid time off, including vacation, sick time, and holidays. Why Join Rexera? At Rexera, we celebrate diversity and embrace uniqueness. We believe in channeling your skills to bring out the best in you, and we recognize and value each employee's efforts. We are committed to maintaining a workplace free from discrimination of any kind. Skills: organizational skills,problem-solving,communication,operations,online research,multitasking,real estate,international voice process,data collection,written communication,verbal communication

Job Title: Lead Engineer - Data & AI Career Level: E Introduction To Role Are you ready to redefine an industry and change lives? AstraZeneca is seeking a seasoned AI and Data Engineering manager to join our Data Analytics and AI (DA&AI) organization. In this pivotal role, you'll be instrumental in shaping and delivering next-generation data platforms, data mesh, and AI capabilities that drive our digital transformation. Your expertise will be crucial in building data infrastructure that supports enterprise-scale data platforms and AI Analytics deployment, fueling intelligent operations across the business. Accountabilities Technical & AI Leadership Lead and mentor a multi-functional team of data and AI engineers to deliver scalable, AI-ready data products and pipelines. Define and enforce standard processes for Data engineering, data pipeline orchestration, and ELT/ETL development lifecycle management. Guide the development of solutions that integrate data engineering with machine learning, foundational models, and semantic enrichment. AI-Driven Data Engineering Architect and develop data pipelines using tools such as DBT, Apache Airflow, and Snowflake, optimized to support both analytics and AI/ML workloads. Design infrastructures that facilitate automated feature engineering, metadata tracking, and real-time model inference. Enable large-scale data ingestion, preparation, and transformation to support AI use cases such as forecasting, natural language querying/processing (NLQ/P), and intelligent automation. Governance and Metadata Management Have an approach to adhere to data governance and compliance practices that ensure trust, transparency, and explainability in AI outputs. Manage and scale enterprise metadata frameworks using tools like Collibra, aligning with FAIR data principles and AI ethics guidelines. Establish traceability across data lineage, model lineage, and business outcomes. Stakeholder Engagement Act as a trusted technical advisor to business leaders across enabling functions (e.g., Finance, M&A, GBS), helping translate strategic goals into AI-driven data solutions. Lead delivery across multiple workstreams, ensuring measurable KPIs and adoption of both data and AI capabilities. Essential Skills/Experience 12+ years of hands-on experience in data engineering and AI-enabling infrastructure, with expertise in: DBT, Apache Airflow, Snowflake, PostgreSQL, Amazon Redshift 2+ years working with or supporting AI/ML teams in building production-ready pipelines and infrastructure. Strong communication skills with a demonstrated ability to influence both technical and non-technical collaborators. Experience in implementing data products by applying data mesh principles. Experience working across enabling business units such as Finance, HR, and M&A. Academic Qualifications Bachelor’s or Master’s degree in computer science, Information Technology, or related field with relevant industrial experiences. Desirable Skills/Experience Proficiency in Python, especially in libraries like Pandas, NumPy, and Scikit-learn for data and ML workflows. Exposure to ML lifecycle tools such as SageMaker, MLflow, Azure ML, or Databricks. Exposure to foundational AI models (e.g., LLMs), vector databases, and retrieval-augmented generation (RAG) methodologies. Knowledge of data cataloguing tools such as Collibra, semantic data models, ontologies, and business glossary tools. When we put unexpected teams in the same room, we unleash bold 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, your work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining innovative science with leading digital technology platforms. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we are at a crucial stage of our journey to become a digital and data-led enterprise. Here you can innovate, take ownership, experiment with groundbreaking technology, and tackle challenges that have never been addressed before. Our dynamic environment offers countless opportunities to learn and grow while contributing to something far bigger. Ready to make a meaningful impact? Apply now to join our team! Date Posted 27-Jun-2025 Closing Date 03-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred Technical And Professional Experience Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

The Ops Sup Analyst 2 is an intermediate level position responsible for providing operations support services, including but not limited to; record/documentation maintenance, storage & retrieval of records, account maintenance, imaging and the opening of accounts in coordination with the Operations - Core Team. Additionally, the Ops Sup Analyst 2 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: Update help content used by Knowledge Hub end users to service client inquires, as needed Execute work assigned, including annual review certification and change requests Serve as liaison to business for work assignments by asking fact finding questions, following up on open items and helping with content approval Conduct needs assessment and update content or develop content related solutions according to business requirements Research and seek out solutions to inquiries on help content and all other open items related to business including policy gaps and changes Monitor work progression ensuring completion of assignments by requested due date Ensure consistent application of team process controls Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 0-2 years relevant experience Proficient in Microsoft Office Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Self-motivated and detail oriented Proven organization and time management skills Demonstrated problem-solving and decision-making skills Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Operations - Core ------------------------------------------------------ Job Family: Operations Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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.