5677 Retrieval Jobs - Page 6

The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹300,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: AI: 2 years (Required) Work Location: In person

Ekyam.ai: Integrating Systems, Unleashing Intelligence - Join Our India Expansion! Are you ready to solve complex integration challenges and build the next generation of AI-driven retail technology? Ekyam.ai, headquartered in New York, US, is expanding globally and establishing its new team in India! We are looking for talented individuals like you to be foundational members of our Indian presence. Ekyam.ai is developing a groundbreaking AI-native middleware platform that connects disparate retail systems (ERP, OMS, WMS, POS, etc.) and creates a unified, real-time, vectorized data layer. We enable intelligent automation and transform how retailers leverage their data by integrating cutting-edge AI capabilities. Role We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs (e.g., OpenAI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI . You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house , so adaptability and a strong foundation in ML/LLM principles are key. Key Responsibilities AI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within FastAPI services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities. LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs . Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization). RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents. FastAPI Microservice Development: Build and maintain the scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment ( Docker, Kubernetes ). Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks. Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts. Required Skills & Qualifications 3–6 years of hands-on experience in software development with a strong focus on AI/ML application development . Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications. Proven experience with Prompt Engineering techniques. Strong Python programming skills. Practical experience building and deploying RESTful APIs using FastAPI . Experience designing and implementing application logic for AI-driven features or agents . Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.). Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face (important for understanding models and future adaptation). Familiarity with cloud platforms ( AWS, GCP, or Azure ) and containerization ( Docker, Kubernetes ) for application deployment. Solid problem-solving skills and clear communication abilities. Experience working effectively in an agile environment. Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment. Bachelor's or Master's degree in Computer Science, AI, or a related field. Ability to work independently and collaborate effectively in a remote setting. Preferred Qualifications Experience with frameworks like LangChain or LlamaIndex. Experience with observability and debugging tools for LLM applications, such as LangSmith. Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher). Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management. Experience optimizing API call performance (latency/cost) or model inference. Knowledge of AI security considerations and bias mitigation . Why Join Ekyam.ai? Be a foundational member of our new India team! This role offers a unique blend: build intelligent AI Agents leveraging cutting-edge external LLMs today, while positioning yourself at the forefront of our future plans for deeper AI customization. You'll gain expertise across the AI application stack (APIs, RAG, Agents, potential future MLOps) and collaborate within a vibrant global team shaping the future of AI in e-commerce. We offer competitive compensation that values your current skills and growth potential.

Location: Hyderabad, India Company: Radise India Type: Full-Time | On-site Experience: 2–5 years (Mid-Level); open to strong junior candidates with relevant project experience About the Role: RADISE India is a growing Civil Engineering firm in Asia Pacific (APAC) Market using innovative IoT-based sensor technology aimed at providing infrastructure owners, builders, and operators the vital information on structural behavior to help them reduce the uncertainties associated with material properties and structural capacity. RADISE India, provides a wide range of innovative engineering consulting services for infrastructure owners, builders, contractors, vendors, and operators. Our technology driven products and services are for infrastructure builders, owners & operators, government bodies, general contracting firms. Key Responsibilities: Evaluate and deploy open-source LLMs (Gemma, DeepSeek, LLaMA 3, Mistral, etc.) for use in document Q&A, natural language to SQL translation, and AI-driven insights. Implement document ingestion pipelines (PDF, Word, Excel, images) using tools like LangChain, Haystack, or LlamaIndex for chunking, embedding, and vector search. Set up and manage vector databases (e.g., pgvector). Develop RAG pipelines to connect embeddings from Azure Blob Storage files and PostgreSQL data. Build and test AI agents capable of routing user queries to either blob-based document retrieval or database querying (SQL generation). Engineer and Evaluate prompts by implementing industry standard prompt engineering techniques. Work closely with our backend team (TypeScript, Express, PostgreSQL) to expose AI capabilities as services or APIs. Benchmark cost, performance, and latency of different models and infrastructures. Support future transition to secure/compliant deployment models (FedRAMP, NIST 800-171). Collaborate with the product team to refine chat UX and identify high-impact use cases. Required Skills and Qualifications: Bachelor's or Master’s in Computer Science, AI/ML, Data Science, or related field. 2+ years of hands-on experience working with LLMs , embeddings, or NLP pipelines. Solid understanding of open-source AI stacks (Transformers, LangChain, LlamaIndex, etc.). Familiarity with vector databases and semantic search principles. Experience working with Python and optionally some TypeScript/Node.js . Comfortable working with SQL and relational databases like PostgreSQL. Strong understanding of AI infrastructure (Docker, Linux, GPU/CPU optimization, cloud deployment – Azure preferred). Must have Strong Prompt Engineering skills. Ability to read and implement research papers or GitHub repos for LLM-based applications. Preferred (Nice-to-Have): Experience deploying or fine-tuning OpenAI, LLaMA, Mistral, Falcon , or similar open-source models. Familiarity with Azure OpenAI, Azure Cognitive Search, or OpenAI APIs for benchmarking. Experience with OCR tools and document parsing pipelines. Exposure to civil engineering or construction domain data is a plus. Why Join Us? Work on cutting-edge AI applications for infrastructure and civil engineering – real-world impact. Direct mentorship from leadership (with deep engineering expertise) and cross-functional collaboration. Opportunity to experiment with and deploy models at scale across enterprise SaaS. Growth potential to lead AI initiatives across multiple product lines (SmartInfra Hub, SmartCompose.AI, etc.). Job Type: Full-time Pay: ₹800,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Experience: AI Engineer: 3 years (Preferred) Location: Hyderabad, Telangana (Required) Work Location: In person

Role Overview Join our dynamic team as a Backend + DevOps Engineer. You'll architect and scale document processing pipelines that handle thousands of financial documents daily, ensuring high availability and cost efficiency. What You'll Do Build scalable async processing pipelines for document classification, extraction, and validation Optimize cloud infrastructure costs while maintaining 99.9% uptime for document processing workflows Design and implement APIs for document upload, processing status, and results retrieval Manage Kubernetes deployments with autoscaling based on document processing load Implement monitoring and observability for complex multistage document workflows Optimize database performance for high-volume document metadata and processing results Build CI/CD pipelines for safe deployment of processing algorithms and business rules Technical Requirements Have: 5+ years backend development (Python or Go) Strong experience with async processing (Celery, Temporal, or similar) Docker containerization and orchestration Cloud platforms (AWS/GCP/Azure) with cost optimization experience API design and development (REST/GraphQL) Database optimization (MongoDB, PostgreSQL) Production monitoring and debugging Nice to Have: Kubernetes experience Experience with document processing or ML pipelines Infrastructure as Code (Terraform/CloudFormation) Message queues (SQS, RabbitMQ, Kafka) Performance optimization for high-throughput systems Job Type: Full-time Experience: Python: 5 years (Required) DevOps: 5 years (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person Speak with the employer +91 9258692828

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. Experience working in the networking domain. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in an organization involving cross-functional, or cross-business projects. Experience in Networking specifically Campus Networks, Data center and WAN networking. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google's global network(GGN) infrastructure is already one of the largest in the world and it is growing very rapidly. GGN (Google Global Network)’s mission is to “ Enable the world’s imagination with dependable, universal connectivity”. Our team works on innovative and technology in building, measuring, reporting and managing health of the Google's worldwide network that includes the customer facing B2 network as well as Google’s private Wide Area Network (WAN) B4. We design distributed software systems to solve the complex network problems related to Install/Turn-Up/Activation/Capacity-expansion/Capacity-reduction/Decommissioning of different elements of the Google network.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide on available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style, guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 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 .

Location: Bengaluru (Hybrid) Role Summary We’re seeking a skilled Data Scientist with deep expertise in recommender systems to design and deploy scalable personalization solutions. This role blends research, experimentation, and production-level implementation, with a focus on content-based and multi-modal recommendations using deep learning and cloud-native tools. Responsibilities Research, prototype, and implement recommendation models: two-tower, multi-tower, cross-encoder architectures Utilize text/image embeddings (CLIP, ViT, BERT) for content-based retrieval and matching Conduct semantic similarity analysis and deploy vector-based retrieval systems (FAISS, Qdrant, ScaNN) Perform large-scale data prep and feature engineering with Spark/PySpark and Dataproc Build ML pipelines using Vertex AI, Kubeflow, and orchestration on GKE Evaluate models using recommender metrics (nDCG, Recall@K, HitRate, MAP) and offline frameworks Drive model performance through A/B testing and real-time serving via Cloud Run or Vertex AI Address cold-start challenges with metadata and multi-modal input Collaborate with engineering for CI/CD, monitoring, and embedding lifecycle management Stay current with trends in LLM-powered ranking, hybrid retrieval, and personalization Required Skills Python proficiency with pandas, polars, numpy, scikit-learn, TensorFlow, PyTorch, transformers Hands-on experience with deep learning frameworks for recommender systems Solid grounding in embedding retrieval strategies and approximate nearest neighbor search GCP-native workflows: Vertex AI, Dataproc, Dataflow, Pub/Sub, Cloud Functions, Cloud Run Strong foundation in semantic search, user modeling, and personalization techniques Familiarity with MLOps best practices—CI/CD, infrastructure automation, monitoring Experience deploying models in production using containerized environments and Kubernetes Nice to Have Ranking models knowledge: DLRM, XGBoost, LightGBM Multi-modal retrieval experience (text + image + tabular features) Exposure to LLM-powered personalization or hybrid recommendation systems Understanding of real-time model updates and streaming ingestion

Job Description: As a Data Engineer, you will be responsible for designing, implementing, and maintaining our data infrastructure to support our rapidly growing business needs. The ideal candidate will have expertise in Apache Iceberg, Apache Hive, Apache Hadoop, SparkSQL, YARN, HDFS, MySQL, Data Modeling, Data Warehousing, Spark Architecture, and SQL Query Optimization. Experience with Apache Flink, PySpark, Automated Data Quality testing & Data Migration is considered a plus. Also, it's mandatory to know any one cloud stack (AWS or Azure) for Data Engineering to Create Data Jobs and Workflows and Scheduler it later for Automation Job Responsibilities & Requirements : Bachelor's degree in computer science, Information Technology, or a related field. Master's degree preferred. 4-5 years of experience working as a Data Engineer Mandatory experience in PySpark Development for Big data processing Strong proficiency in Apache Iceberg, Apache Hive, Apache Hadoop, SparkSQL, YARN, HDFS, Data Modeling, and Data Warehousing. Core PySpark Development and Optimizing SQL queries and performance tuning to ensure optimal data retrieval and processing. Experience with Apache Flink, and Automated Data Quality testing is a plus. It's mandatory to know any one cloud stack (AWS or Azure) for Data Engineering to Create Data Jobs and Workflows and Scheduler later for Automation Join Xiaomi India Technology and be part of a team that is shaping the future of technology innovation. Apply now and embark on an exciting journey with us!

Join theprintspace — the world’s leading fine art printing company — as our new HR Manager . We support artists and photographers globally through cutting-edge printing, framing, and dropshipping services, with 65+ team members across 4 countries. In this role, you'll take ownership of HR processes across the full employee lifecycle, ensure compliance in the UK, Germany, US, and India, and help shape a people-first culture in a dynamic, creative environment. Key Responsibilities : 1. Employee Lifecycle Management : Manage the onboarding and offboarding processes, ensuring smooth transitions for all employees across global branches. Oversee holiday and sick leave monitoring, ensuring accurate record-keeping. Conduct exit interviews and provide actionable feedback to management to improve employee experience. 2.Payroll, Benefits & Compliance : Collaborate with management to ensure accurate and timely processing of payroll, bonuses, overtime, and sales commissions. Ensure tax details are updated and correct across all regions, liaising with payroll providers to ensure compliance with local regulations. Maintain and update commission structures and statements, providing clear communication to staff. Ensure compliance with employment laws and practices in all operational regions (UK, Germany, US, India). 3.Training & Development : Assist operational managers in the creation and maintenance of training materials, ensuring they are accessible in the correct formats. Coordinate with operational managers to ensure that all staff receive the necessary training for their roles. Implement and manage a structured annual review and probationary review process. 4.Recruitment & Freelance Resource Management : Liaise with operational managers who have identified hiring needs to help create job descriptions, and manage job postings and candidate outreach. Vet candidates, organise first-round interviews, and manage the recruitment process from start to finish. Help identify and onboard freelance resources as required 5.Employee Relations & Performance : Be the main point of contact for employee issues, providing support and guidance as needed. Manage annual and probationary reviews, ensuring that processes are structured, and feedback is constructive. Create and maintain organisational charts, including job titles and salary levels for all positions. 6.Administrative & Operational Support : Maintain an up-to-date register of company equipment provided to staff, ensuring proper tracking and retrieval when employees leave. Help bring structure to company-wide processes, such as performance reviews, training, and employee development programs. Qualifications : Proven experience in HR management, preferably within a global or multi-branch company. Strong understanding of employment laws and payroll practices in the UK, Germany, US, and India. Excellent communication and interpersonal skills. Ability to handle sensitive information with discretion and maintain confidentiality. Strong organisational skills with attention to detail. Experience in recruitment, employee relations, and performance management. Ability to work independently and remotely, managing multiple responsibilities across different time zones.

Job Title: Python Developer Experience Level: 5-7 Years Location : Hyderabad Job Description We are seeking an experienced Lead Python Developer with a proven track record of building scalable and secure applications, specifically in the travel and tourism industry. The ideal candidate should possess in-depth knowledge of Python, modern development frameworks, and expertise in integrating third-party travel APIs. This role demands a leader who can foster innovation while adhering to industry standards for security, scalability, and performance. Roles and Responsibilities Application Development: Architect and develop robust, high-performance applications using Python frameworks such as Django, Flask, and FastAPI. API Integration: Design and implement seamless integration with third-party APIs, including GDS, CRS, OTA, and airline-specific APIs, to enable real-time data retrieval for booking, pricing, and availability. Data Management: Develop and optimize complex data pipelines to manage structured and unstructured data, utilizing ETL processes, data lakes, and distributed storage solutions. Microservices Architecture: Build modular applications using microservices principles to ensure scalability, independent deployment, and high availability. Performance Optimization: Enhance application performance through efficient resource management, load balancing, and faster query handling to deliver an exceptional user experience. Security and Compliance: Implement secure coding practices, manage data encryption, and ensure compliance with industry standards such as PCI DSS and GDPR. Automation and Deployment: Leverage CI/CD pipelines, containerization, and orchestration tools to automate testing, deployment, and monitoring processes. Collaboration: Work closely with front-end developers, product managers, and stakeholders to deliver high- quality, user-centric solutions aligned with business goals.Requirements  Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.  Technical Expertise: o At least 4 years of hands-on experience with Python frameworks like Django, Flask, and FastAPI. o Proficiency in RESTful APIs, GraphQL, and asynchronous programming. o Strong knowledge of SQL/No SQL databases (PostgreSQL, MongoDB) and big data tools (e.g., Spark, Kafka). o Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI). o Familiarity with testing tools such as PyTest, Selenium, and SonarQube. o Expertise in travel APIs, booking flows, and payment gateway integrations.  Soft Skills: o Excellent problem-solving and analytical abilities. o Strong communication, presentation, and teamwork skills. o A proactive attitude with a willingness to take ownership and perform under pressure.

About the Role We are looking for a motivated entry-level engineer to join our team and help build machine learning and Large Language Model (LLM)-based applications. This is a fully on-site position, and ideal for someone local who wants to kick-start their career in AI, learn fast, and contribute to real-world projects from day one. This role is challenging and fast-paced, requiring someone who can absorb knowledge quickly, adapt to complex requirements, and execute at high speed. You'll be expected to prototype ideas within a few days to test feasibility, and contribute meaningfully to ML pipelines and LLM-enabled features under the guidance of experienced engineers. If you are a recent graduate driven by curiosity, action-oriented thinking, and a strong work ethic, this is a rare opportunity to accelerate your growth, work hands-on with cutting-edge AI technologies, and make a real impact from day one. What You Will Do Build and test workflows and Agentic AI Applications. Integrate open-source LLMs such as LLaMA2 and commercial APIs such as OpenAI, into backend services using LangChain and other frameworks Develop retrieval-augmented generation (RAG) pipelines, including embedding generation, vector store setup and query orchestration Create and maintain prompt templates and toolchains for workflows like multi-turn conversations or auto-tagging of enterprise documents Write unit tests and debug issues in LLM-powered features such as semantic search and summarization Prototype new ideas rapidly in 1-2 days and iterate with feedback Document your work clearly and maintainably Required Skills Strong Python fundamentals Prior experience shipping code to production Hands-on experience in building applications with LLMs like GPT, Claude, and LLaMA Understanding of embeddings, tokenization, and vector search Exposure to LangChain, LlamaIndex, or similar frameworks Comfortable with APIs, JSON, and CLI tools Ability to build middleware in Node.js and connect to Python backend Ability to work fast, prototype quickly, and accept feedback Self-driven and persistent problem-solver What We Offer A rare, hands-on opportunity to learn real-world AI/LLM development. Daily exposure to LLM models and tools.Direct mentorship from experienced engineers. Fast-paced, execution-focused culture. Performance-based growth for driven candidates. Modest initial compensation with high learning ROI. How to Apply Send your resume and a brief note explaining your interest in AI/ML and why this opportunity excites you to careers@bitwiseacademy.com. If you have worked on any LLM projects - GitHub links, demos, or code samples are strongly encouraged. As part of the interview process, you will be asked to implement a small prototype to demonstrate your ability to learn quickly, work independently, and apply AI/LLM concepts in code.

About Sundial Sundial is a top VC-backed early-stage startup headquartered at San Francisco Bay Area, US with a second office in Bengaluru, India. We have raised $23M to build the analytics platform for the AI era. Our founders are industry veterans Chandra Narayanan, previously Chief Data Scientist at Sequoia Capital, and Julie Zhuo, previously VP, Design and Research at Facebook, author of a bestselling management book. We are a small team of top talent, high caliber Engineers, Data Scientists, Designers and PM (currently 49 in India, 5 in US) and rapidly growing. We are on a mission to help builders make meaningful use of data to fulfill their vision. Sundial automatically diagnoses a product's data to explain the "what" and the "why" to enable faster and better decision making. Now Pull up a chair! We're excited to tell you more about our vision for Sundial! By now, you've probably visited our website and maybe our LinkedIn page and browsed around the profiles of our team members. If you haven't yet, please take a moment to do so. We'll wait 🙂 Okay, now you know at a high level that we are focused on data storytelling. The data space has over $100B in market opportunity ahead of it, and modern Business Intelligence tools are growing at over 15% year over year.We've seen this evolution firsthand. Our co-founders Chandra Narayanan and Julie Zhuo cut their teeth scaling Facebook from a few million college students to billions of people. To make the best decisions possible, companies are investing more and more into understanding their data. And yet, demand far outpaces supply for Data Scientists and Data Platform Engineers who can construct useful narratives out of the growing firehose of raw data, tables and charts. Currently most data-centric organizations have a large Data Platform and Data Science team that builds Big Data Platforms, Insights Data stores to bring data into dashboards and manually generates reports to communicate the product story broadly. But a large part of this process can be easily productised. At Sundial, we're building a Sundial’s Insights Data Platform. This platform converts raw data in large Data Warehouses into a universe of deep product insights that product teams—including PMs, data scientists, executives and engineers—consume easily. This involves Highly Scalable, Robust Distributed Data Platform which can consistently, repeatably run complex Data Science and Transformation algorithms at Cloud Scale. We envision a future where every organization becomes a data-informed organization through our work of: Productising the diagnostic analysis of yesterday so teams can focus on the strategic bets for tomorrow. Making data understanding easy and accessible to everyone, not just data scientists. Surfacing opportunities of improvement in growth across segments We believe better usage of data leads to better products, and better products lead to better experiences for people. Responsibilities: Developing and enhancing the framework for Agents, Prompting, and Retrieval-Augmented Generation (RAG) to build generative AI agents, multi-agent frameworks and tools for our product. Integrating and optimising machine learning models into our Sundial Insights Platform. Building out the infrastructure for using AI Platforms or hosting and deploying tuned AI models, ensuring high availability and scalability. Collaborating with data scientists and other engineers to understand data gaps and improve our Generative AI use-cases Designing and implementing efficient data pipelines to support ML operations and data processing needs. Working with cutting-edge AI technologies and contributing to the development of new AI-driven features and capabilities. Designing and building systems and features from scratch at a rapid pace and high quality. Requirements: Strong Software Engineering fundamentals, Computer Science fundamentals, ML Engineering fundamentals, coding, and design capabilities. Experience in ML Engineering, ML Ops, and backend engineering for hosting and building tools using Public AI Platforms or open source ML models. Familiarity with generative AI techniques, frameworks for Agents/Prompting/RAG, and model deployment. Familiarity with libraries like Langgraph, Langchain, Llamaindex, Autogen etc. Experience with data engineering as part of ML engineering, including building and managing data pipelines. Familiarity with cloud services such as AWS, GCP, or Azure and tools for ML Ops. Proficiency in programming languages such as Python, Golang, SQL, and experience with ML frameworks like TensorFlow, PyTorch, etc. A Bachelor’s or Master’s in Computer Science or a related field, or equivalent work experience. Should have at least 3 years of experience working on some of the above areas. Prior experience working in a fast-paced startup environment. You will probably like working with us if: You like the ownership, camaraderie and chaos of a start-up environment - Start-ups are not right for everyone. Things move quickly and change frequently. Start-ups haven't "made it" yet. We have to convince customers we are valuable enough to them. We must be scrappy and flexible. Everyone will wear lots of hats. But: if you have future aspirations of being an entrepreneur or leader, you'll find few better learning grounds. You'll learn by doing. You'll be given a ton of trust and responsibility. You'll see very transparently how we operate and make decisions. Your work will absolutely matter to the success of our company. You value learning and have a growth mindset - Sundial is founded on the idea that slope is far more important than intercept. We are a learning environment, and all of us have something to teach and learn from each other. We invest heavily in learning sessions, sharing insights, and reflecting on our growth. You're interested in understanding how companies grow, and how data plays a role - Unlocking the secrets of data is our bread and butter. How do successful companies grow? How do different types of businesses create value for users in an economically scalable way? If you find this area to be as fascinating as we do, that's awesome, because you're going to become an expert in this domain. :) Benefits: 🤑 Competitive salary & options package—A rewarding compensation structure that includes competitive pay and equity, ensuring your contributions are valued. 🌏 Global culture – Collaborate with diverse teams across San Francisco and Bangalore, gaining exposure to international perspectives. 🏝️ Unlimited vacation days—A trust-based policy encouraging you to recharge and return at your best. 🍽️ Food in the Office – Enjoy daily lunch at the office, with the freedom to choose what you want to eat. Interested? We’d love to hear from you—apply now!

This job is with Pfizer, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Use Your Power for Purpose A career with us is about discovering breakthroughs that change patients' lives. You will be part of bringing those therapies to people all over the world, driving the industry forward, and making a positive difference. Whatever your role, you will discover that amazing things are possible. As a member of the Global Supply division, you will have a direct impact on improving patients' lives while working at Pfizer. Your dedication and commitment will be instrumental in helping Pfizer achieve new milestones and make a significant impact on patients worldwide. What You Will Achieve In this role, you will: Represent your organizational unit on administrative matters, recommending, interpreting, and implementing internal policies and procedures. Perform a variety of administrative tasks across different functional areas to enhance business efficiency. Support services such as event planning, customer service, publications, and technical writing/editing. Actively participate in team process improvements and collaborate by sharing experiences. Manage your time and professional growth, taking accountability for results and prioritizing workflows. Utilize skills and knowledge to complete tasks, understand their relation to other processes, and participate in process improvement teams. Execute digital campaigns promptly, following content plans developed with Marketing and Medical teams, and support special projects and new digital promotion models. Assist marketing teams during campaign execution, monitoring, optimizing, and managing reports, focusing on user experience. Maintain local documentation as required by legislation, including archiving, tracking, and retrieval, and coordinate digital platform management with regional or local support. Provide analytical insights to support functional decisions, monitor performance through KPIs, and ensure compliance with norms, policies, and procedures. Here Is What You Need (Minimum Requirements) High School Diploma or GED with at least 2 years of experience. Experience in Marketing, digital marketing, commercial Strong interpersonal skills Keen eye for detail Ability to manage time and prioritize tasks effectively Experience with administrative tasks and process improvement Ability to work under moderate supervision and follow established procedures Bonus Points If You Have (Preferred Requirements) Ability to solve routine problems and convey issues constructively Understanding of both pharma industry and scientific academic research environments Knowledge of commercial or business analytics processes Ability to make basic decisions with an understanding of the consequences Ability to work collaboratively in a team environment Proficiency in using digital platforms and tools Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Support Services

This job is with Pfizer, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Use Your Power for Purpose A career with us is about discovering breakthroughs that change patients' lives. You will be part of bringing those therapies to people all over the world, driving the industry forward, and making a positive difference. Whatever your role, you will discover that amazing things are possible. As a member of the Global Supply division, you will have a direct impact on improving patients' lives while working at Pfizer. Your dedication and commitment will be instrumental in helping Pfizer achieve new milestones and make a significant impact on patients worldwide. What You Will Achieve In this role, you will: Represent your organizational unit on administrative matters, recommending, interpreting, and implementing internal policies and procedures. Perform a variety of administrative tasks across different functional areas to enhance business efficiency. Support services such as event planning, customer service, publications, and technical writing/editing. Actively participate in team process improvements and collaborate by sharing experiences. Manage your time and professional growth, taking accountability for results and prioritizing workflows. Utilize skills and knowledge to complete tasks, understand their relation to other processes, and participate in process improvement teams. Execute digital campaigns promptly, following content plans developed with Marketing and Medical teams, and support special projects and new digital promotion models. Assist marketing teams during campaign execution, monitoring, optimizing, and managing reports, focusing on user experience. Maintain local documentation as required by legislation, including archiving, tracking, and retrieval, and coordinate digital platform management with regional or local support. Provide analytical insights to support functional decisions, monitor performance through KPIs, and ensure compliance with norms, policies, and procedures. Here Is What You Need (Minimum Requirements) High School Diploma or GED with at least 2 years of experience. Experience in Marketing, digital marketing, commercial Strong interpersonal skills Keen eye for detail Ability to manage time and prioritize tasks effectively Experience with administrative tasks and process improvement Ability to work under moderate supervision and follow established procedures Bonus Points If You Have (Preferred Requirements) Ability to solve routine problems and convey issues constructively Understanding of both pharma industry and scientific academic research environments Knowledge of commercial or business analytics processes Ability to make basic decisions with an understanding of the consequences Ability to work collaboratively in a team environment Proficiency in using digital platforms and tools Work Location Assignment: On Premise Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Support Services

Staff Backend Engineer – Core AI Platform Location: India (Remote) Function: Engineering – AI Platform Level: Staff Reports to: VP of Engineering / CTO About the Company We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. This role is not about plugging in pre-built models—it’s about designing and scaling custom AI orchestration frameworks that bind language models, memory, judgment modules, and tool use into autonomous systems that are trustworthy, composable, and policy-aligned. You’ll work at the intersection of machine learning, distributed systems, and agentic reasoning, partnering with researchers, backend engineers, and product leaders to bring real-time, LLM-driven intelligence into production at scale. This is a rare opportunity to define and build the AI runtime and execution architecture for mission-critical agents in a high-regulation, high-trust industry. About the Role We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. Responsibilities Architect a multi-agent AI framework for orchestrating LLMs, tools, memory, and decision modules in live user-facing systems Build and optimize low-latency, distributed inference systems that meet real-time SLAs for transactional environments Develop modular components for task planning, reward routing, fallback handling, and multi-turn reasoning Design developer-facing APIs and tooling to allow AI product teams to safely extend and compose agentic functionality Integrate vector stores, custom retrieval pipelines, model evaluators, judgment layers, and auto-tuning workflows Drive the implementation of prompt tuning, reward modeling, and LLM-as-a-Judge techniques in production loops Collaborate with research to productionize new RL, planning, or alignment strategies Establish architectural best practices for extensibility, observability, and trust in AI-enabled systems Qualifications 8+ years of backend or platform engineering experience, with at least 2 years building or deploying AI/ML systems Deep experience with Node.js, asynchronous architecture, and performance-critical backend systems Prior hands-on experience building ML models or training pipelines —you know how models learn, behave, and break Expert knowledge of LLM system design, agent architectures, and Reinforcement Learning techniques Proven track record building distributed, event-driven systems in high-throughput environments Experience building real-time inference systems that integrate LLMs with retrieval, memory, or tool use Strong systems design skills: designing modular, fault-tolerant, observable software at scale Demonstrated ability to lead architectural design and cross-functional engineering initiatives Preferred Skills Experience building multi-agent systems or intelligent orchestration engines Familiarity with vector databases, semantic search, and prompt engineering techniques Comfort integrating ML eval frameworks and offline/online experimentation pipelines Open-source contributions to LLM tooling or infrastructure a plus

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

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

Job Title: Senior Data Scientist – Data & Analytics How You Will Do It Advanced Analytics, LLMs & Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy & Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact & AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership & Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications & Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1–2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership & Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Job Description We are seeking a skilled Generative AI Engineer with a strong background in Python to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions. If you excel in a fast-paced environment and enjoy tackling complex challenges, we encourage you to apply. Key Responsibilities Generative AI Development Develop and implement generative AI models using frameworks like LangChain or Llama-Index. Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches. Work with embeddings and build solutions that leverage similarity search for personalized query resolution. Explore and process multimodal data, including image and video understanding and generation. Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. Design and implement RESTful APIs for seamless communication between systems and services. Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows. Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code. Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workflows. Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. Leverage containerization tools such as Docker for efficient and reproducible deployments. Ensure security and scalability of backend systems with adherence to industry best practices. Qualifications Essential: Strong Programming Skills: Proficiency in Python and experience with backend frameworks like FastAPI, Django, or Flask. Generative AI Expertise: Knowledge of frameworks like LangChain, Llama-Index, or similar tools, with experience in prompt engineering and Retrieval-Augmented Generation (RAG). Data Management: Hands-on experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for embeddings and similarity search. Machine Learning Knowledge: Familiarity with LLMs, embeddings, and multimodal AI applications involving text, images, or video. Deployment Experience: Proficiency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability. Testing and Debugging: Strong skills in writing and managing unit and integration tests (e.g., Pytest), along with application debugging and performance optimization. Asynchronous Programming: Understanding of asynchronous programming concepts for handling concurrent tasks efficiently. Preferred Cloud Proficiency: Familiarity with platforms like AWS, GCP, or Azure, including serverless applications and VM setups. Frontend Basics: Understanding of HTML, CSS, and optionally JavaScript frameworks like Angular or React for better collaboration with frontend teams. Observability and Monitoring: Experience with observability tools to track and evaluate LLM performance in real-time. Cutting-Edge Tech: Awareness of trends in generative AI, including multimodal AI applications and advanced agentic workflows. Security Practices: Knowledge of secure coding practices and backend system hardening. Certifications: Relevant certifications in AI, machine learning, or cloud technologies are a plus. Skills: retrieval-augmented generation (rag),supabase,docker,rag,gcp,azure,flask,asynchronous programming,postgresql,generativeai,aws,pytest,pgvector,langchain,pinecone,genai,fastapi,weaviate,mysql,python,llama-index,django,llm

Key Responsibilities: Build, train, and validate machine learning models for prediction, classification, and clustering to support NBA use cases. Conduct exploratory data analysis (EDA) on both structured and unstructured data to extract actionable insights and identify behavioral drivers. Design and deploy A/B testing frameworks and build pipelines for model evaluation and continuous monitoring. Develop vectorization and embedding pipelines using models like Word2Vec, BERT, to enable semantic understanding and similarity search. Implement Retrieval-Augmented Generation (RAG) workflows to enrich recommendations by integrating internal and external knowledge bases. Collaborate with cross-functional teams (engineering, product, marketing) to deliver data-driven Next Best Action strategies. Present findings and recommendations clearly to technical and non-technical stakeholders. Required Skills & Experience: Strong programming skills in Python, including libraries like pandas, NumPy, and scikit-learn. Practical experience with text vectorization and embedding generation (Word2Vec, BERT, SBERT, etc.). Proficiency in Prompt Engineering and hands-on experience in building RAG pipelines using LangChain, Haystack, or custom frameworks. Familiarity with vector databases (e.g., PostgreSQL with pgvector, FAISS, Pinecone, Weaviate). Expertise in Natural Language Processing (NLP) tasks such as NER, text classification, and topic modeling. Sound understanding of supervised learning, recommendation systems, and classification algorithms. Exposure to cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is a plus. Experience – 5+ years Job Type: Full-time Pay: ₹800,000.38 - ₹3,000,000.60 per year Benefits: Health insurance Paid time off Schedule: Day shift Location: Viman Nagar, Pune, Maharashtra (Preferred) Work Location: In person

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Position Summary We are currently searching for a candidate who can drive project management, strategic planning, and excellence in the execution of the International Medical Operations supporting and reporting to the Head of Strategy and Operations who drives the medical strategy and execution across the three international regions EU, APAC and Intercon, ensuring its deliverables address critical unmet needs of patients and healthcare systems worldwide. We are seeking a highly organized and detail-oriented professional to join our team. The AD MPM will work with the Head of Strategy & Operations, International to manage operational excellence. The AD MPM plays an important role in organizing, managing, and communicating the core deliverables aligned to the International Medical goals and objectives. In this role, the candidate will be responsible for handling complex international projects/ meetings, where they will need to prioritize tasks effectively. The candidate must excel in balancing competing priorities and deadlines, ensuring that all projects move forward smoothly and are completed on time, to plan and within budget. This person plays a crucial role in ensuring efficient operations within the organization. Additionally, the role requires providing comprehensive support and project management for the organization, driving key projects to successful completion. The successful candidate will be a demonstrated leader with the breadth of professional experience and the drive to work with both internal and external partners to define and implement effective project management solutions. Key Responsibilities Lead planning and execution of the International Medical team operations, including effective meeting management, project management, and budget oversight responsibility. Support the Start & Ops Head to ensure medical team members are fully represented in the decision-making process with the right context and knowledge. Support working groups with deliverables and other requirements. Prioritize tasks and projects effectively, balancing the diverse needs and deadlines of multiple regions and indications within the scope of International Markets Navigate the intricate dynamics of multiple countries, ensuring projects are completed successfully and on time. Develops detailed project timelines and oversee working groups ensuring cross-functional and third-party input is captured and projects are delivered on time, within scope and on budget. Ensure organized and up-to-date records for easy access and retrieval. Store and maintain relevant documentation on SharePoint (SP), and Teams sites, etc. Other Regular Activities S&O and LT support (LT meetings, QBR, WWM Exchange/ Interchange, budget reduction scenario plans). Act with flexibility to support the International Medical as needed in working as a team with the other S&Os to assist where needed Support Department initiatives Country visits, Forums, Dept meetings, Offsites. Partner with finance PM including budget, forecasting, performance against targets, facilitate key budget discussions in partnership with the S&O. Build relationships with key stakeholders, including Medical Country Heads, Commercial and MAx team members, to influence strategic alignment on key medical objectives. Distribution List Management (adding / removing members, setting permissions) Vendor Management, new vendor setup and onboarding on Ariba. Create and manage project briefs for external consultant engagement. Adapt to flexible working conditions and support remote and in-office activities. Address ad hoc requests as they arise, ensuring prompt and effective resolutions. Perform other regular activities to support team operations and objectives. The ideal candidate will embody BMS's cultural pillars Accountability Demonstrates ownership and drives results with urgency. Execution Excellence Transforms strategy into action, delivering ambitious goals with precision. Diverse Thinking Leverages global perspectives to create innovative, patient-focused solutions. Outcomes Mindset Demonstrates a relentless focus on achieving impactful and measurable results for patients and the business. Patient-Centricity Ensures that every decision and strategy is grounded in improving outcomes for patients. Qualifications & Experience Bachelor's degree in Life Sciences, Physical sciences or relevant discipline, advanced degrees preferred (MSc, PharmD, MBA) Experience Requirements 5+ years of experience in pharmaceutical research, development, medical affairs or commercialization. A solid foundation in science is indispensable. Highly organized and motivated individual with the ability to work independently/effectively with cross functional teams. This position requires a solid understanding of Medical Affairs organization Experience in project/program management of complex projects involving cross-functional, multi-site, international teams. Strong written and oral communication skills and demonstrated ability to interact directly and productively with team members and management and to manage and prioritize multiple competing priorities is also required. Ability to engage in complex scientific discussions to develop /summarize clear follow-up/action plans and execute. Strong experience with building relationships, leading strategic initiatives and programs, and collaborating across divisions with people of diverse business backgrounds and cultures. Comfort with ambiguity, driving change and innovation across the team. Travel If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Position Summary The GPS Data & Analytics Software Engineer I role is accountable for developing data solutions. The role will be accountable for developing the pipelines for the data enablement projects, production/application support and enhancements. Additional responsibilities include data analysis, data operations process and tools, data cataloguing, and developing data SME skills in Global Product Development and Supply - Analytics and AI Enablement organization. Key Responsibilities The Data Engineer will be responsible for designing, building, delivering and maintaining high quality data products and analytic ready data solutions for GPS Cell Therapy Develop cloud-based (AWS) data pipelines using DBT and Glue Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and stake holders to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and protection through validation, testing, and security protocols Implement and maintain security protocols to protect sensitive data Stay up to date with emerging trends and technologies in data engineering, analytical engineering and analytics and adapt with new technologies Participate in the analysis, design, build, manage, and operate lifecycle of the enterprise data lake and analytics focused digital capabilities Work in agile environment Debugging issues on the go Understanding the existing models if required and taking it forward Using JIRA for effort estimation, task tracking and communication about the task Using GIT for version control, quality checks and reviews Proficient Python, Spark, SQL, AWS Redshift, DBT, AWS S3, Glue/Glue Studio, Athena, IAM, other Native AWS Service familiarity with Domino/data lake principles Good to have knowledge/hands on experience in React Js for creating analytics dashboard if required Good to have knowledge about AWS Cloud Formation Templates Partner with other data, platform, and cloud teams to identify opportunities for continuous improvements Required 1-3 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems Understanding of cloud technologies preferably AWS and related services in delivering and supporting data and analytics solutions/data lakes Should have working knowledge of GIT and version control good practices Proficient in Python, Spark, SQL, AWS Services Good to have experience in React.js and Full stack technologies Good to have worked in agile development environment and have used JIRA or similar task tracking & management tools Good to have experience/knowledge of working with DBT Knowledge of data security and privacy best practices Ideal Candidates Would Also Have Prior experience in global life sciences especially in the GPS functional area will be a plus Experience working internationally with a globally dispersed team including diverse stakeholders and management of offshore technical development team(s) Strong communication and presentation skills Other Qualifications Bachelor's degree in computer science, Information Systems, Computer Engineering or equivalent is preferred If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

About the Company We are looking for a highly skilled and innovative AI Engineer to join our team in Hyderabad. This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks. The ideal candidate will have a strong background in Python, Prompt Engineering, and RAG (Retrieval-Augmented Generation) architectures, with the ability to apply these technologies in real-world banking use cases. About the Role This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks. Responsibilities Design, build, and deploy intelligent AI systems that can reason, plan, and act autonomously. Implement RAG pipelines leveraging vector databases (e.g., FAISS, Chroma, Pinecone) for knowledge retrieval. Develop prompts, few-shot examples, and context-aware workflows to improve LLM performance. Use agentic AI frameworks like LangChain, LangGraph, or AutoGen to orchestrate multi-step interactions. Build scalable pipelines for document processing, OCR, and computer vision-based analysis. Integrate AI solutions with banking workflows (e.g., KYC, fraud detection, claims processing). Collaborate with cross-functional teams to understand business needs and deliver robust AI-powered solutions. Ensure secure, scalable deployment of solutions on Azure Cloud using best DevOps practices. Qualifications 8+ Years (6+ Years Relevant in AI/ML) Domain: Banking Job Type: Full-time Work Location: Based on Panelists + Account POCs availability Required Skills Python Programming (advanced proficiency) LLMs (OpenAI, Claude, Mistral, etc.) Prompt Engineering (few-shot, CoT, tool use) Vector Databases (FAISS, Pinecone, Chroma, etc.) RAG Architecture implementation Agentic AI Libraries: LangChain, LangGraph, or AutoGen Document Processing & OCR (e.g., Tesseract, Azure Form Recognizer) Computer Vision (OpenCV, LayoutLM, Vision Transformers) Preferred Skills Cloud Platforms: Azure, Azure OpenAI, Azure Functions API Development: FastAPI, RESTful services Containerization: Docker Monitoring Tools: Prometheus, ELK Stack Experience in the Banking/Financial Services domain

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. About the Role At Matillion, our engineering culture is shaped around small, cross-functional development teams empowered to own specific product themes and initiatives. Each team brings together engineers of all levels, working collaboratively to build, test, and ship impactful features that help our customers solve real-world data challenges. As a Staff Software Engineer , you will play a key role in driving the technical vision and hands-on development of our platform. You’ll bring deep engineering expertise and a passion for solving complex problems to help us build scalable, performant, and secure software — all while staying at the forefront of cutting-edge technologies, including Generative AI. What You’ll Be Doing Lead by example : Contribute hands-on to software development, championing high-quality code and robust architecture Drive technical direction : Shape the design and evolution of systems, ensuring performance, security, and scalability Collaborate cross-functionally : Work with engineers, product managers, and customer-facing teams to break down large initiatives into actionable plans Mentor and support : Provide guidance to team members through code reviews, knowledge sharing, and pairing Innovate with AI : Develop intelligent features powered by LLMs (Large Language Models), integrating modern GenAI capabilities into our platform Continuously improve : Proactively explore new technologies, contribute to internal best practices, and help evolve our engineering culture What We’re Looking For Strong hands-on experience with Java and React , grounded in solid object-oriented principles and software engineering best practices Proficiency in building Java Spring microservices , containerisation with Docker , and experience with relational databases like Postgres, MySQL, or SQL Server Proven track record across the full SDLC , including CI/CD and Agile methodologies Deep familiarity with cloud platforms , especially AWS Ability to adapt to new technologies and solve both product and platform-level challenges in a collaborative team environment GenAI Expertise (Essential) Hands-on experience integrating with LLM APIs such as OpenAI, Anthropic, or Hugging Face Understanding of prompt engineering — crafting and tuning prompts to optimize LLM responses Experience with RAG (Retrieval Augmented Generation) to enrich LLM responses with contextual data Familiarity with key LLM concepts: System/User prompts, tokens, embeddings, context windows, temperature, top-p, stop sequences GenAI Experience (Nice to Have) Experience with fine-tuning models and prompt compression techniques Exposure to GenAI architectures like prompt chaining , agentic workflows , or routing mechanisms Familiarity with Spring AI or similar libraries that abstract LLM interactions Experience designing and using evals to compare LLM performance and optimize prompts Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Job Description: CMOD(Content Manager OnDemand) Administrator. Installing and upgrading equipment Installing and maintaining Content Manager OnDemand programs and other software Defining and labeling storage volumes Monitoring the space used by the database and the space available on the system Monitoring the space used for disk storage and the space available on the system Monitoring the space used for archive storage and the space available on the system Scheduling jobs to maintain the database, disk storage, and archive storage Working with users to determine report indexing and retrieval requirements Defining migration policies and storage sets Defining Content Manager OnDemand system printers Defining reports to the system Defining Content Manager OnDemand groups and users Loading reports on the system, or scheduling the jobs that load them Managing the backup and recovery process for the database and other areas that contain data critical to the operation of the system Monitoring server activity and tuning system parameters Solving server, network, and application problems Answering end-user questions Establishing security and audit policies: set and maintain passwords and permissions; use Content Manager OnDemand audit facilities to monitor application group and user activity; develop, document, and maintain change control procedures to prevent unauthorized changes to the system Operating CMOD administrative console to Administrator Objetcs. Using CMOD Console to define and maintain applications, application groups, folders, cabinets, storage sets, holds, system printers, groups, and users. Using CMOD Console to process sample report data and create indexing parameters and logical views by visually marking up a sample of a report. CMoD set of administrative commands to maintain the system. CMoD commands for loading and unloading reports, maintaining the database, disk, and archive storage, and querying and retrieving documents. CMoD administrative commands to run automatically, on a regular schedule.

Company Overview VITAL INTELLIGENCE TECHNOLOGY PRIVATE LIMITED specializes in setting up and offshoring tech teams in India, focusing on ERPs, AI, ML, and LLMs. Our mission is to empower businesses with top-tier engineering talent and advanced technology expertise. We offer bespoke solutions in software development and digital transformation. Based in Ahmedabad, we leverage India's robust tech ecosystem to drive global innovation and efficiency. Job Overview We are seeking a Mid-Level Software Developer specializing in ASP.NET MVC to join our team in Ahmedabad. This is a full-time position in which you will play a critical role in the development and maintenance of web applications. The ideal candidate should possess significant expertise in ASP.NET MVC and demonstrate strong technical skills in related areas. Qualifications and Skills Proficiency in ASP.NET MVC (Mandatory skill) with proven experience in designing and developing web applications. Strong knowledge and hands-on experience in C#, enabling you to implement efficient, reliable, and maintainable code. Experience with SQL Server for developing complex queries and understanding relational database concepts. Solid understanding and application of JavaScript to enhance user experience and maintain responsive web designs. Experience with HTML5 to craft reliable web applications ensuring cross-browser compatibility and responsiveness. Familiarity with Continuous Integration tools and practices, facilitating seamless code integration and deployment. Understanding of Cloud Computing principles to build scalable and secure web applications that align with modern practices. Experience with LINQ for efficient data querying, enhancing the performance of applications. Roles and Responsibilities Design, develop, and maintain scalable web applications using ASP.NET MVC framework. Collaborate with product owners and team members to analyze use cases and propose innovative technical solutions. Write clean, scalable, and testable code, adhering to best practices and coding standards. Perform detailed analysis of business needs and develop reliable software solutions to meet those needs. Implement and maintain SQL Server databases, optimizing data retrieval and storage processes. Participate in Agile/Scrum processes, contributing to iterative software development and delivery. Troubleshoot, debug, and upgrade existing software, ensuring optimal performance and reliability. Provide mentorship and knowledge sharing among team members to foster growth and technical proficiency.