5741 Retrieval Jobs - Page 41

Overview: Leading the design, development, and optimization of scalable, high-performance AI/ML platforms, integrating cutting-edge cloud services, and ensuring seamless interaction with front-end applications Responsibilities: Spearhead the development and implementation strategy for backend APIs, focusing on creating scalable, reliable, and high-performance solutions that align with business goals. Oversee the management of Azure Kubernetes Service (AKS) (and similar capability for AWS – EKS) deployments, optimizing container orchestration to ensure seamless application scaling and performance. Oversee management and automation of pipelines related to data storage, data movement and data retrieval for various forms of data (real-time, audit, fast moving messages) as well as formats (structured – SQL storage, unstructured – BLOB storage and Semi-structured – JSON and related format in no-SQL DB) – between edge and cloud and between cloud applications mediated by File, Service/API, Message Bus and bulk-movement options. Direct cloud operations to achieve optimal system performance, security, and cost-efficiency, leveraging Azure cloud services and infrastructure. Champion DevOps practices across the team, promoting automation, continuous integration (CI), and continuous deployment (CD) to enhance operational efficiency. The CI/CD automation should also include deployment strategies and automation for ML components (e.g., MLOps related pipeline building and automation). Desirable to have skills with Github, Ansible, ADO, Terraform and ability to integrate QA tools such as Sonar Cube, Synk etc. Contribute to a robust release management strategy and ensure that the CI/CD pipeline incorporates and aligns with complex, global and local release management strategy. Ensure that test automation, deployment automation (including edge deployments) and observability are integral part of release management and CI/CD pipelines. Facilitate collaboration among cross-functional teams, ensuring the seamless integration of backend services with frontend platforms and other system components. Establish and rigorously monitor service-level objectives (SLOs) and key performance indicators (KPIs) to maintain and improve backend system and cloud infrastructure performance. Lead incident response initiatives and conduct thorough post-incident analyses to identify root causes and implement preventive strategies, ensuring system integrity. Drive continuous improvement efforts, focusing on system efficiency, downtime reduction, and resource optimization. Maintain up-to-date knowledge of the latest backend technologies, Azure services, and DevOps tools, integrating innovative practices into our operations. Cultivate a team culture that values innovation, excellence, and continuous learning, encouraging team development and the adoption of best practices. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or a closely related field. A minimum of 10 years of experience in backend API development, cloud infrastructure management, particularly Azure and AWS (EKS and AKS) as well as CI/CD automation. Demonstrated proficiency in DevOps methodologies and cloud process management, with a strong technical foundation in Azure cloud services, Kubernetes, and API development with a solid understanding of security, scalability, and high availability in cloud environments. Hands-on experience with CI/CD pipelines, automation tools, and cloud-native technologies involving complex edge deployments and multiple version release management Hands on experience with Blue-Green and Canary deployment (strategy, design and development) and incorporating learnings into release cycle in real-time Proven leadership capabilities in managing complex technical projects and guiding high-performing teams towards achieving operational excellence. Exceptional problem-solving skills and a strategic mindset, capable of addressing technical challenges effectively. Excellent communication and collaboration abilities, with a proven track record of engaging successfully with various stakeholders. A history of driving operational improvements and sustaining high-performance backend systems, demonstrating a commitment to innovation and quality.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Who we are looking for CP (Centralized Pricing) process Manager, who will be a part of (SS) State Street (AIS) Alternatives Investment Services, (AIAS) Alternative Investment Administrative Services, (CP) Centralized Pricing team, ensuring all Prices are sourced, stored, updated and approved in required systems as per Instructions and procedures timely and accurately. He/She will be expected to engage and communicate daily with: Global Centralized Pricing team, Onboardings, Statics & other upstream and downstream units. GP’s, IM’s, Counterparties, Investigations teams & Global stakeholders Process : (SS) State Street (AIS) Alternatives Investment Services, (AIAS) Alternative Investment Administrative Services, Centralized Pricing team, Shifts (in IST) : US Shift - 7PM to 4AM IST Why this role is important to us The team you will be joining is a part of State Street AIS Business. The AIAS team is focused on providing administrative and analytical solutions to institutional investors in Hedge (FOF), Private Equity and Real Estate Investments. Our team tracks all communications from our clients’ General Partners, processes all transactions, cash movements, updates investment prices/valuations, captures underlying portfolio company and property details, and provides updated holdings, Market valuation and other communication to downstream teams, Clients as per requirements. What you will be responsible for Review of daily deliverables. Meet & maintain timeliness and Accuracy as per SLA/KPI standards 1. Inbox management - Monitor Day to day email received in specific client inboxes and action them accordingly with in the deadline. 2. Pricing- Knowledge of alternative pricing in FOF and private equity. Should understand private equity investments & statements extensively. 3. Day to day communication with clients and admins across time zones to action their request/queries on timely manner. 4. Proactively Coordinating with Global onshore teams regarding Client queries or escalations that require urgent action. 5. File preparation for the Projects. 6. Client/Portfolio onboarding, Subscriptions/Redemptions/Add Sub mapping, retrieval of documents from Admin portals. 7. Coordinating with Clients/Admins regarding pricing related queries. 8. Price counts & trade counts and KPI files preparation. 9. Coordinating with NAV team to clear queries. Review, Maintain & Implement controls when applicable to reduce risk Monitor exception reporting and provide necessary insight on resolution Work directly with the business teams and other Global stakeholders to provide information and/or operational solutions as needed Work well with all upstream and downstream teams/members, stakeholders as demonstrated by being responsive to requests, striving for excellent client service Take a leadership role in broader based projects as a subject matter expert. Responsible for KRI/Operating Metrics reporting and other overarching team related responsibilities. Work closely with stakeholders/homesite to provide solutions for India related Process challenges, People challenges, Training Requirements, Risk Issues and Client needs as needed. Provide direct oversight and mentorship to various team members Ensure that all team members are following Standard Operating Procedures, and that quality control checks are in place for all client deliverables Help and create robust support system for team in their secondary review of every deliverables & ensure 100% accuracy, timeliness & completeness. Reassess, Refine and suggest optimization of existing operating process/model to ensure that resources are being properly deployed by collaborating with our global partners Work with our IT partners to ensure support for development, implementation, and maintenance of new technology solutions for AIAS clients and the CP team Support Homesite partners for any business growth initiatives by preparing data, responses, participating in prospective client presentations, and reviewing opportunities with the Client Service team Manage and help drive implementation efforts for special projects, as needed Perform & have governance of process, people, Risk & client related controls Able to work in shifts along with team in office. Education & Preferred Skills BCOM/MBA in finance, accounting, or a related discipline - MBA, CFA, or CPA is a plus 8+ years of experience working in Alternative Investments. Proven expertise in performance measurement and accounting for Alternative Investments Excellent organizational, interpersonal and service-oriented skills required Proven ability to lead a team and associates working on a wide array of responsibilities Additional Skills Include: Ability to work in various wed-based applications and MS Office tools Strong analytical skills, detail oriented, work independently and collaboratively Strong verbal and written communications skills and have the ability to handle multiple priorities Knowledge of Alpha Frontier, MCH, and/or Canoe is a plus Knowledge of Private Equity, Hedge Funds and Real Estate What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Department Operations Job posted on Jul 07, 2025 Employment type Full Time - Permanent Oversee daily administrative operations related to inventory, dispatch, inbound/outbound shipments, and warehouse staff records. Manage and maintain accurate documentation for receiving, storage, and dispatch activities. Ensure timely data entry and updates in warehouse management systems (WMS), ERP, or inventory control platforms. Prepare and analyze operational reports, including inventory status, shipment logs, and performance metrics. Handle warehouse-related billing, vendor coordination, and purchase order processing. Maintain personnel records, attendance logs, and coordinate with HR for staff scheduling, leave, and payroll inputs. Ensure compliance with safety regulations, audit requirements, and company SOPs. Support coordination with logistics, procurement, finance, and customer service teams. Train and supervise warehouse administrative staff and ensure workload distribution. Handle filing, archiving, and retrieval of all essential warehouse documents and records.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India . Minimum qualifications: Currently pursuing a Bachelor's, Master's in Computer Science or related technical field. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.). Experience working in Unix/Linux environments. Experience with software design. Preferred qualifications: Currently in your penultimate year of study. Experience with data structures and algorithms. Ability to work on projects related to mobile development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development. Ability to showcase tech projects and participate in computer science-related extracurricular activities. About the job Google is invested in increasing the number of future computer scientists and software developers and is pleased to announce the 2026 Software Engineering internship in India. This program includes three main components: a software project, skills based training, and professional development. This summer internship program includes a development project that you will work on with a team of Googlers and other Software Engineering Interns. You will enhance your coding skills, and gain exposure to tools and programming languages. You will attend ongoing technical talks by executive Googlers, match with a Google Engineer, to guide you through your summer experience, and engage in social activities, community building, and networking. Our Summer internships will start in May 2026 and will be for 10-12 weeks in duration. This internship is intended for students who are pursuing a Bachelor's, Master's or Dual degree program in Computer Science or a related field. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Join us for a 10-12 week paid internship that offers personal and professional development, and community-building. The Software Engineering Internship program will give you an opportunity to work on computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal. Our engineers create, fix, extend, and scale code to keep it working against all the bad actors of the internet. You will work on software development projects to keep important business-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of services and monitoring/alerts to building automation infrastructure. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. Responsibilities Research, create, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to large amounts of data and information. Work and support a productive and innovative team with peers, managers, and cross-functional teams. 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.

· Monitoring and maintaining networks and servers. · Upgrading, installing configuring and troubleshooting new hardware and software related to desktops, laptops and printers. · Creating user accounts and performing access control. · Managing internet and intranet. · Performing diagnostic tests and debugging procedures to optimize computer systems. · Documenting processes, as well as backing up and archiving data. · Developing data retrieval and recovery procedures. · Designing and implementing efficient end-user feedback and error reporting systems. · Keeping up to date with advancements and best practices in IT administration. Job Type: Full-time Pay: ₹18,000.00 - ₹30,000.00 per month Benefits: Leave encashment Shift: Morning shift Ability to commute/relocate: Doraha, Doraha - 141421, Punjab: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) Work Location: In person

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions. We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As an ML Engineer , you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be working hands-on to optimize the training and deployment of ML models to be quick and cost-efficient. Also, you will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What You Bring In 3+ years in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment. Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain. Proven ability to develop, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and performance. Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP. Experience deploying models across backend and mobile platforms. Fine-tune and optimize LLMs prompts for domain-specific applications Ability to optimize feature engineering, model training, and deployment strategies for performance and efficiency. Strong SQL and statistical skills. Programming knowledge in at least one language, such as Python or R. Preferably python. Knowledge of machine learning algorithms. Excellent teamwork and communication skills, with the ability to work cross-functionally with product, engineering, and data science teams. Good to have the knowledge in retrieval-based pipelines to enhance LLM performance The Impact You Will Create Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and deploy state-of-the-art NLP models, contributing directly to message classification and fraud detection at scale for millions of users. Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection, ensuring a safer and more efficient messaging experience. Build and optimize ML models that can efficiently handle large-scale data processing while maintaining accuracy and performance. Work closely with data scientists and data engineers to enable rapid experimentation, development, and productionization of models in a cost-effective manner. Streamline the ML lifecycle, from training to deployment, by implementing automated workflows, CI/CD pipelines, and monitoring tools for model health and performance. Stay ahead of advancements in ML and NLP, proactively identifying opportunities to enhance model performance, reduce latency, and improve user experience. Your work will directly impact millions of users, improving message classification, fraud detection, and the overall security of messaging platforms. It Would Be Great If You Also Have Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Cloud-based LLM inference with Ray, Kubernetes, and serverless architectures. Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore , India. We only accept applications in English. What We Offer A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. Job info Location Bengaluru, Karnataka, India Category Data Science Team Insights Posted today

Job Summary This internship duration is only 6 months in real time projects. No Compensation/Salary/Stipend. Candidates willing to work from our Chennai office only, please apply Strong data analytics knowledge, data analytics course/certification is must. You are self-starter who takes complete ownership of your projects Should have the best problem solving attitude. Ability to work well independently with minimal direction and lead team. Good written and verbal English communication skills Technical expertise regarding data models, database design development, data mining and segmentation techniques. Must have strong programming skills, particularly in Python. Knowledge of LLM frameworks such as Langchain, LlamaIndex, OpenAGI, CrewAI, AutoGen. Knowledge of Data Engineering Practices: Skills in data preprocessing, cleaning, and transformation etc. Should be familiar with Agents, RAG (retrieval augmented generation), COT prompting techniques etc Strong analytical skills to troubleshoot and solve complex problems that arise in AI application development. Responsibilities and Duties Implement and customize LLMs to build reliable applications based on LLMs. Build reliable GenAI or LLM powered applications Manage data ingestion and maintain database integrity Knows how to build Agent from scratch and understanding of Multi-Agent architecture is must. Design and develop GenAI use cases across financial services, healthcare and education Implement Retrieval-Augmented Generation (RAG) techniques for enhanced LLM responses. Ensure best practices of prompt engineering, performance monitoring, evaluation of LLM responses etc Work with cross-functional teams for cohesive GenAI solutions. Keep abreast of the latest advancements in LLMs and generative AI. Important Notes/Instructions WFH is not available. Candidates willing to work from our Chennai office only please apply. This internship duration is only 5 months in real time projects. No salary/stipend will be provided. Key Skills Python, LLMs, RAG, AI Agents Job Type: Full-time Pay: ₹1,000.00 - ₹5,000.00 per month Schedule: Monday to Friday Application Question(s): Willing to work without any pay as intern? Willing to work from Chennai Office for 5 months? Location: Chennai, Tamil Nadu (Required) Work Location: In person

Job description - Maintain and update electronic (EMR/EHR) and physical medical records of patients, ensuring accuracy and completeness. - Organize, classify, and file patient records systematically for easy retrieval by doctors, nurses, and administrative staff. - Ensure compliance with HIPAA (or applicable Indian laws like Clinical Establishment Act) for data privacy and confidentiality. - Coordinate with doctors, nurses, and billing departments to verify and correct discrepancies in medical documentation. - Prepare and submit reports for audits, insurance claims, and legal requirements. - Manage the digitization of records (scanning, indexing, and archiving) and assist in transitioning from paper-based to electronic systems. - Follow hospital protocols for record retention, disposal, and data backup as per statutory requirements. - Train staff on proper documentation practices and use of Hospital Information Systems (HIS). *Skills & Qualifications**: - Bachelor’s degree in Health Information Management (HIM), Medical Records Science, or related field, or Any graduate with prior experience(1-4 Years) - Prior experience in medical records management in a hospital. - Knowledge of ICD-10/11 coding, medical terminology, and healthcare compliance standards. - Proficiency in HIS, EMR software and MS Office (Excel, Word). *Immediate joiner Preferred Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Food provided Health insurance Leave encashment Provident Fund Schedule: Fixed shift Education: Bachelor's (Preferred) Experience: Medical records: 1 year (Preferred) Total work: 3 years (Preferred) Work Location: In person

Job Summary: We are seeking a results-driven Technical Project Manager with strong experience in managing AI-focused projects and tools. You will be responsible for overseeing cross-functional teams building AI/ML-driven products, platforms, or integrations—ensuring timely delivery, technical alignment, and strategic execution. The ideal candidate has hands-on familiarity with AI/ML workflows, prompt engineering, and tools like OpenAI, Hugging Face, LangChain, or vector databases. Key Responsibilities: Plan, execute, and manage AI-driven product or platform development using Agile methodologies. Translate business and product goals into structured AI projects with clearly defined scope and deliverables. Collaborate with data scientists, ML engineers, backend/frontend developers, and product stakeholders. Oversee model integration, API workflows, prompt optimization, and toolchain evaluation (e.g., LLMs, embeddings). Ensure scalability, performance, and ethical use of AI features in the product. Manage dependencies, risks, and cross-functional coordination. Drive the implementation of continuous delivery pipelines and AI ops. Monitor progress and communicate updates through clear reports and dashboards. Stay current with advancements in AI tooling and suggest improvements. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. 5+ years in technical project management, with 2+ years working on AI/ML-focused products or platforms. Strong understanding of AI/ML concepts, including LLMs, embeddings, prompt engineering, NLP, computer vision. Familiarity with tools like OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, or vector databases. Experience with model deployment and AI infrastructure (e.g., FastAPI, Docker, cloud AI services). Skilled in using Jira, Trello, Notion, or similar project tools. Excellent leadership, communication, and cross-functional collaboration skills. Nice to Have: Experience managing AI chatbot or generative AI projects. Knowledge of ethical AI practices and responsible AI deployment. Certification in AI/ML or product management. Experience with RAG (Retrieval-Augmented Generation) architectures.

Job Title: Record Retrieval Specialist Location: Ahmedabad Description: We are seeking a detail-oriented and organized Record Retrieval Specialist to join our team. The Record Retrieval Specialist will be responsible for efficiently and accurately obtaining medical, legal, or other records necessary for various purposes, such as legal proceedings, insurance claims, or medical research. The ideal candidate will have excellent communication skills, strong attention to detail, and the ability to manage multiple tasks simultaneously. Responsibilities: 1. Initiate and manage the record retrieval process by contacting relevant parties, such as medical facilities, legal offices, and government agencies. 2. Request and obtain necessary authorization forms from clients or other authorized individuals. 3. Coordinate with external parties to ensure timely retrieval of records within established deadlines. 4. Review retrieved records for accuracy and completeness, and follow up on any missing or incomplete information. 5. Organize and maintain records in a secure and confidential manner, adhering to all relevant privacy regulations and company policies. 6. Communicate effectively with clients, attorneys, and other stakeholders to provide updates on the status of record retrieval requests. 7. Collaborate with internal teams, such as legal, claims, or research departments, to support their respective projects or initiatives. 8. Identify and implement process improvements to streamline the record retrieval process and enhance efficiency. 9. Stay informed about changes in regulations or industry best practices related to record retrieval and ensure compliance with all applicable standards. 10. Perform other duties as assigned. Our EVP (Employee Value proposition) :  5 Days working  We are a “Great place to work certified” company.  30 Earned Leaves during calendar Year  Career progression and continuous Learning& Development (Technical, Soft skills, Communication, Leadership)  Performance bonus & Loyalty Bonus Benefits  Rewards and Recognition programs  Standard Salary as per market norms  Equal career opportunities, No discrimination  Magnificent & Dynamic Culture  Festival celebrations & fun events Job Types: Full-time, Permanent, Fresher Pay: ₹16,000.00 - ₹20,000.00 per month Benefits: Health insurance Provident Fund Schedule: Night shift US shift Work Location: In person

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

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Hello, We have an exciting opportunity for a Technical Project Manager with 5+ years of experience in Ahmedabad! Company Description: IndiaNIC is an offshore Software Development Company based in Ahmedabad, India, with a team of 600+ experts operating across multiple countries. The company specializes in transforming ideas into digital solutions using the latest technologies and top-notch UI/UX designs. Focusing on websites, mobile apps, IoT, AI & ML development, and other specialized services, IndiaNIC has successfully delivered 7,000+ projects to 3,000+ clients worldwide. EXPERIENCE: 5+ years On-site Opportunity Ahmedabad 5 days Working Job Summary: Requirements: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. 5+ years in technical project management, with 2+ years working on AI/ML-focused products or platforms. Strong understanding of AI/ML concepts , including LLMs, embeddings, prompt engineering, NLP, and computer vision. Familiarity with tools like OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, or vector databases. Experience with model deployment and AI infrastructure (e.g., FastAPI, Docker, cloud AI services). Skilled in using Jira, Trello, Notion , or similar project tools. Excellent leadership, communication, and cross-functional collaboration skills. Nice to Have: Experience managing AI chatbots or generative AI projects. Knowledge of ethical AI practices and responsible AI deployment. Certification in AI/ML or product management. Experience with RAG (Retrieval-Augmented Generation) architectures. Thanks & Regards Aman Bhavsar | Executive - HR | IndiaNIC | Ph.: 079 -61916080/6000 Mo.:9510915158 https://www.indianic.com

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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

Job Location: Noida/Indore Qualification: Bachelor's or master's degree in computer science & engineering 7-10 years of Proven experience as a Backend Lead Engineer (Java and Python) or similar role Strong hold on one programming language Java/Python and hands on another Strong analytical and logical skill Strong understanding of DS and Algo and its usage Proven thought leadership Experience in managing small team of developers Knowledge/Experience in GEN AI/LLM is huge plus Roles and Responsibilities: Possess strong logical analytical abilities in problem-solving and solution designing Use case derivation and solution creation from structured/unstructured data Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Develop end-to-end machine learning pipeline which includes model development, tuning, implementation, deployment and MLOps An end-to-end model pipeline for transformer-based use cases which includes model development and fine tuning. Work closely with business and product management teams to develop and implement analytics solutions. Communicate results to diverse technical and non-technical audiences. Research and Innovation: Stay up to date with the latest advancements in the fields of AI Mandatory Skills: Python, Java, Transformer, PyTorch, SQL, LangChain, Deployment of machine learning/LLM models, LLM models finetuning and evaluation, Python web development Good to Have Skills -LLMOps

Job Location: Noida/Indore Qualification: Bachelor's or master's degree in computer science & engineering 7-10 years of Proven experience as a Backend Lead Engineer (Java and Python) or similar role Strong hold on one programming language Java/Python and hands on another Strong analytical and logical skill Strong understanding of DS and Algo and its usage Proven thought leadership Experience in managing small team of developers Knowledge/Experience in GEN AI/LLM is huge plus Roles and Responsibilities: Possess strong logical analytical abilities in problem-solving and solution designing Use case derivation and solution creation from structured/unstructured data Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs Develop end-to-end machine learning pipeline which includes model development, tuning, implementation, deployment and MLOps An end-to-end model pipeline for transformer-based use cases which includes model development and fine tuning. Work closely with business and product management teams to develop and implement analytics solutions. Communicate results to diverse technical and non-technical audiences. Research and Innovation: Stay up to date with the latest advancements in the fields of AI Mandatory Skills: Python, Java, Transformer, PyTorch, SQL, LangChain, Deployment of machine learning/LLM models, LLM models fine tuning and evaluation, Python web development Good to Have Skills -LLMOps

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we're shaping the future and making a meaningful impact on the world. About The Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Senior AI Engineer who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and build scalable AI platform architecture to support ML development, agentic frameworks, and robust self-serve AI pipelines Develop agentic frameworks and a catalog of AI agents tailored to healthcare use cases Design and deploy high-performance, low-latency AI applications Build and optimize ML/DL models, including generative models like Transformers and GANs Construct and manage data ingestion and transformation pipelines for scalable AI solutions Conduct experiments, and statistical analysis, and derive insights to guide development Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions What You Need Master's in Computer Science, Engineering, or a related field 5+ years of software engineering experience with strong API development skills 3+ years of experience in data science and at least 1+ year in building generative AI pipelines, agents, and RAG systems Strong Python programming skills with enterprise application development and optimization Experience with: LLMs, prompt engineering, and fine-tuning SLMs Frameworks like LangChain, CrewAI, or Autogen (at least one is a must) Vector databases (e.g., FAISS, ChromaDB) Embedding models and Retrieval-Augmented Generation (RAG) design Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker) Bonus: Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems Preferred Skills Python - building scalable, performant AI applications Experience with reinforcement learning and multi-agent systems LLM optimization and deployment at scale Familiarity with healthcare data and AI use cases We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where And How We Work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer's EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

Designation: Data Scientist Location: Gurgaon Salary: 8-20 LPA Working: 5 Days Experience: 0-2 Years Key Responsibilities Design and fine-tune deep learning models for Text2SQL, TTS, and image generation tasks Build and optimize Generative AI models using GPT, BERT, T5, Claude, and similar LLMs Work with GANs (e.g., Wav2Lip, LipSync) for audio-visual synthesis Leverage NVIDIA frameworks like Triton and Omniverse Integrate AI models into scalable applications with optimal performance Fine-tune models for domain-specific use cases with a focus on accuracy Research advancements in NLP and diffusion models for fashion-based image generation Deploy and maintain AI solutions in production environments Build Retrieval-Augmented Generation (RAG) systems for better knowledge retrieval Use and manage vector/graph databases to support AI implementations Apply basic computer vision and image processing in real-world projects Benchmark AI model performance using standard metrics and datasets Develop custom object detection pipelines (YOLOv8, Faster R-CNN, SSD) Work closely with engineers, scientists, and stakeholders to meet business needs Required Skills & Qualification 0-2 years in AI/ML with a focus on Generative AI and LLMs Expert in Python, C++, and JavaScript Strong with PyTorch, TensorFlow, and Keras Experience in NLP, transformer models, and deep learning Knowledge of ML Ops tools is a plus Familiar with AWS, GCP, or Azure for cloud deployments Experience with RAG systems, vector (e.g., Faiss, Pinecone) & graph databases (e.g., Neo4j) Strong foundation in computer vision, CNNs, and object detection Familiar with OpenCV, PIL, and Agentic AI tools (LangGraph, CrewAI, AutoGen) Proficient in Flask, FastAPI, and WebSocket for serving AI models Strong grasp of benchmarking standards like GLUE, ImageNet, BLEU, ROUGE, COCO

Job Title: Functional Tester – Agentic AI Solution (Banking & Wealth Management) Location: Noida Experience Level: 2–6 years Reports To: QA Lead / Product Manager We are looking for an experienced Functional Tester to validate the business workflows, compliance logic, and customer-facing features of an Agentic AI solution built for the banking and wealth management domain. This solution leverages LLMs, retrieval-augmented generation (RAG), and domain ontologies to provide intelligent data retrieval, client interaction, and regulatory compliance automation. Key Responsibilities Functional Testing • Understand functional and non-functional requirements for Agentic AI features (e.g., document Q&A, investment summarization, client onboarding, compliance tracking) • Validate end-to-end user journeys across banking and wealth advisory use cases • Test conversational workflows and agentic logic flows (multi-step LLM tasks) • Verify outputs from LLMs for relevance, consistency, and context-awareness • Ensure correct role-based access across advisors, relationship managers, and compliance officers Test Planning & Execution • Prepare detailed test plans, test cases, and traceability matrices from EPICs, features, and user stories • Execute manual testing for user interfaces, APIs, and chat/agent interactions • Perform regression testing across AI pipelines after prompt or model updates • Log, track, and retest defects using tools like Azure DevOps, Jira, or TestRail AI Model & RAG Testing • Validate grounding of LLM responses from vector databases (e.g., Azure AI Search, Pinecone) • Check performance of RAG pipelines including hallucination mitigation, context window boundaries, and fallback logic • Test interaction of agent orchestration flows (LangChain/Autogen/semantic kernel) • Verify prompt-based test cases for accuracy and coverage Integration & Data Testing • Validate PDF/statement extraction logic from custodians (e.g., Morgan Stanley, Pershing) • Check structured data output (JSON, tables) from Azure Form Recognizer or OpenAI pipelines • Ensure data integrity and lineage from ingestion → processing → user response Must-Have Skills & Tools Category Tools/Tech Test Management Azure / AWA DevOps, Jira, TestRail, Azure Board Test Types Functional, UI, Integration, AI behavior Domain Knowledge Wealth Mgmt workflows, KYC, portfolio views, regulatory rules AI Concepts LLM output validation, RAG testing, prompt engineering basics Data JSON validation, SQL for test data setup Tools (Optional) Postman, Python (for test automation scripts), Excel-based test mapping Preferred Qualifications • Bachelor’s degree in Engineering, Finance, or Computer Science • Experience testing AI/ML solutions or conversational AI products • Familiarity with Azure AI stack, OpenAI, or AWS Bedrock • Exposure to compliance-heavy domains like banking, wealth, or insurance • Ability to work with cross-functional Agile teams (product, engineering, AI/ML, compliance) Nice-to-Have Skills • Experience writing prompt-based test cases for LLMs • Familiarity with agentic workflows (e.g., task chaining, autonomy testing) • Understanding of financial statement formats (portfolio summaries, trade confirms) • Basic scripting to validate data output (e.g., Python, bash)

Matellio is hiring a skilled and visionary AI Lead to drive development of advanced AI solutions. This is a dual role involving both technical leadership and hands-on development —perfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies. Key Responsibilities: Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment. Design and own both high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaborate with sales and business development teams to create technical proposals , including solution design , architecture diagrams , and high-level estimates for Sales Qualified Leads (SQLs). Work as an individual contributor when needed, developing key components of the solution to accelerate delivery and set best practices. Research, design, and implement machine learning and deep learning models, including fine-tuning and deploying LLMs (e.g., GPT, BERT) for production use cases. Build NLP pipelines and retrieval-augmented generation (RAG) systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate). Apply statistical techniques to feature engineering, model evaluation, and performance optimization. Ensure adherence to code quality, testing, CI/CD, and documentation standards. Stay current with AI/ML advancements and proactively propose innovative solutions. Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture. Required skills and qualifications: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. 7+ years of hands-on experience in AI/ML model development and deployment. Proven experience in leading technical teams and delivering production-grade AI/ML solutions. Strong architectural skills with experience designing end-to-end solutions involving cloud, APIs, and ML models. Demonstrated experience supporting technical pre-sales efforts through proposals, estimates, and client presentations. Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn. Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs , and building GenAI solutions. Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone). Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them. Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines. Exposure to cloud platforms such as AWS, GCP, or Azure. Excellent analytical thinking, problem-solving, and communication skills.

DXFactor is looking for AI/ML Engineer (4 to 6 Yrs) DXFactor is a US-based tech company working with fortune 500 customers across the globe. We have our presence in: US India (Ahmedabad, Bangalore) Web-site: www.DXFactor.com Location: SG Highway, Ahmedabad (Work from Office) Employment Type: Full Time Job Summary: We are seeking an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence and at least one year of hands-on experience in Generative AI . The ideal candidate will have strong proficiency in Python , LLM Models , and emerging techniques such as Retrieval-Augmented Generation (RAG) , model fine-tuning , and agentic AI systems . You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems. Key Responsibilities: Design, develop, and deploy AI/ML solutions with an emphasis on generative models and LLMs . Implement and optimize RAG pipelines for knowledge-aware AI systems. Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications. Build and manage agentic AI systems capable of autonomous planning and decision-making. Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features. Stay up-to-date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Minimum 1 year of hands-on experience in Generative AI projects. Proficient in Python and common ML libraries (e.g., PyTorch, scikit-learn). Strong understanding of Large Language Models (LLMs) and transformer architectures. Experience building RAG pipelines and integrating vector search systems. Hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. Experience developing agentic AI systems using frameworks like LangChain, AutoGen, or custom orchestration logic. Experience on working with cloud platforms Tools & Technologies: Frameworks & Libraries: LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow Model Providers: OpenAI, Anthropic, Llama, Mistral Vector Stores: FAISS, Pinecone, Milvus APIs & Services: REST, GraphQL DevOps & Infra: Docker, AWS/GCP/Azure

Responsibilities: Design, implement, and optimize LLM pipelines for NLP tasks such as summarization, classification, and entity recognition. Build and deploy AI models to production with scalable, testable code. Develop and fine-tune models using domain-specific datasets, integrating them into live systems. Create retrieval-augmented systems using vector stores and embeddings for contextual Q&A. Support ASR-based NLP systems with diarization, tagging, and post-processing. Work closely with senior leadership to ensure technical alignment with product goals. Contribute to AI/ML best practices and help standardize development workflows across teams. Primary Skills (Must have): Strong Python development with OOP principles and ML/AI best practices. Expertise in machine learning, deep learning, and NLP using libraries like scikit-learn, PyTorch, TensorFlow. Practical experience with LLM fine-tuning, LoRA, PEFT, and embedding-based models. Experience building RAG pipelines for question-answering, search, and knowledge summarization. Hands-on with vector stores (FAISS, Pinecone, ChromaDB), transformers, and Hugging Face models. Experience deploying models via FastAPI, Flask, and Docker. Good knowledge of speech-to-text tools like Whisper and AWS/GCP STT for transcription. Familiarity with prompt engineering, LangChain, and retriever models. Experience with cloud ML platforms (AWS, Azure, GCP) for model training and inference. Exposure to MLOps practices like versioning, monitoring, and automated retraining. Secondary Skills Domain knowledge in financial services, market places, healthcare, pharma and life sciences NLP use cases. Experience with knowledge graphs, graph neural networks, and embeddings-based reasoning. Understanding of privacy-preserving ML (e.g., differential privacy, federated learning). Exposure to LangChain, LlamaIndex, Haystack, or other GenAI orchestration tools.

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. Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with. Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting. We are building cutting edge recommender systems powered by the latest ML, NLP, LLM/GenAI/RAG and AI technologies. Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. Come join our innovative engineering and applied research team! As a senior researcher in our group you are expected to own the full lifecycle of your work: from understanding the business problem, to conducting the research to find the right ML approach, to production deployment. Think, full-stack researcher / data scientist. Moreover, we see great importance in publishing our work in scientific top-tier conferences (RECSYS, NIPS, WWW, WSDM, SIGIR, EMNLP, and others). Come join our innovative engineering and applied research team! What You Will Accomplish Being a Part Of EBay’s Research Group Means You will conduct world-class research in the area of Recommender Systems, Machine Learning and Natural Language Processing. You will solve complex problems for eBay's core product and see your work impacts billions of people around the world. You will work with top scientists to conduct state of the art research. You will have a huge part in the next generation of eBay’s products. Job Requirements MS in a relevant domain. PhD is an advantage. Proven experience in the fields of Recommender Systems, Machine Learning and NLP. Demonstrated experience in designing, implementing, and optimizing complex deep learning models for real-world applications Combination of strong research, engineering and business acumen skills. Deep understanding of computer science fundamentals, data structures, and algorithms. Experience in programming in Python Experience building large scale distributed applications and expertise in any OO language (Scala, Java, etc.) - a plus Experience in working in a complex production environment - a plus. Publication record in machine learning or related conferences - a plus. Experience with Large Language Models (LLMs) and prompt engineering - a plus Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important. Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/our-company/diversity-inclusion/ We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Links To Some Of Our Previous Work Tech Blog 2025 (Multimodal GenAI) Tech Blog 2025 (GenAI Agentic Platform) RecSys 2024 Workshop paper Google Cloud Blog 2024 eBay Tech Blog 2023 eBay Tech Blog 2022 RecSys 2021 paper 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.