819 Llms Jobs - Page 10

As a Principal AI Engineer at G-P, you will be responsible for designing, developing, and deploying AI solutions that tackle complex business challenges. Your role will demand advanced expertise in artificial intelligence, encompassing machine learning and natural language processing, and the capability to integrate these technologies into production-grade systems. You will play a pivotal role in developing innovative, scalable AI solutions that address real business problems. Your responsibilities will include driving projects from inception to deployment, ensuring alignment with business objectives, and dedicating approximately 20% of your time to understanding problems and collaborating with stakeholders. Managing complex data sets, designing efficient data processing pipelines, and working on robust models will be a significant part of your tasks, consuming roughly 80% of your time. Collaboration with other AI engineers, product managers, and stakeholders to ensure AI solutions meet business needs and enhance user satisfaction will also be crucial. Furthermore, you will be expected to write clear, concise, and comprehensive technical documentation for all projects developed, stay abreast of the latest field developments, and explore new technologies and approaches to tackle specific business challenges. Required Skills and Qualifications: - Master's degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or related field - Deep understanding and practical experience in machine learning and natural language processing, especially LLMs - Strong foundational knowledge in statistical modeling, probability, and linear algebra - Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics for model reliability - Experience in developing and maintaining machine learning services for real-world applications at scale - Proficiency in Python programming - High standards for code craftsmanship (maintainable, testable, production-ready code) - Proficiency with Docker - Knowledge of system design and cloud infrastructure for secure and scalable AI solutions - Proficiency with AWS - Proven track record in driving AI projects with strong technical leadership - Excellent communication skills for engaging with technical and non-technical stakeholders Nice To Have Qualifications: - Experience with natural language processing for legal applications - Proficiency with Terraform - React and Node.js experience If you are prepared to contribute significantly in a fast-paced startup environment, where innovation and hard work are valued, G-P offers the ideal platform for you. Embrace the hustle and be willing to put in extra hours when necessary to drive our mission forward.,

Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Established in 2003, Atlas offers a broad range of solutions in GRC, Technology, Procurement, Healthcare Provider, and Oracle to clients worldwide. With over a decade of experience in the software industry and a global presence, we have expanded our capabilities across various industry verticals. We are currently looking for an experienced AI Solutions Lead with a solid background in AI/ML and proficiency in developing scalable AI solutions for diverse challenges. The ideal candidate should demonstrate a successful history of translating business needs into impactful AI solutions. Previous experience in Business Analysis, Product Management, or Program Management would be advantageous. Responsibilities of the role include collaborating directly with clients to ensure AI solutions comply with industry standards and regulations. The candidate should possess a strong educational background and a keen interest in keeping up-to-date with the latest AI/ML trends and advancements, particularly in areas such as Large Language Models (LLMs), generative and Agentic AI, and innovative deployment methods. Key Responsibilities: - Act as a trusted AI advisor to clients, identifying business obstacles and delivering AI solutions tailored to specific industry requirements. - Work closely with AI/ML engineers and data scientists to design and implement solutions that meet industry needs while adhering to regulatory standards in data security, risk assessment, and compliance. - Lead the entire AI project lifecycle, from conceptualization to deployment, ensuring adherence to timelines, budgets, and quality benchmarks. - Perform thorough business analysis to pinpoint AI opportunities within client organizations, enabling them to leverage AI for improved decision-making and operational efficiency. - Engage effectively with technical and non-technical stakeholders, presenting AI-driven insights and strategies customized to the client's needs. Requirements: - Bachelor's degree in Engineering, Mathematics, or a related field from a reputable institution. - Certifications in AI/ML. - 5+ years of experience in AI/ML solutions. - Previous involvement in Product Management, Business Analysis, or Program Management. - Proven experience in leading cross-functional teams and executing complex projects. - Proficiency in data analysis, machine learning algorithms, and Python. - Hands-on experience with various AI/ML techniques such as predictive analytics, NLP, computer vision, and process automation. - Expertise in Large Language Models (LLMs) including fine-tuning, optimization, and large-scale deployment. - Familiarity with cloud platforms like AWS, GCP, or Azure, and MLOps practices for AI model deployment. - Experience with tools like LangChain and models from OpenAI, Azure OpenAI, Gemini. We Offer: - An opportunity to be at the forefront of AI/ML innovation, contributing to transformative industry projects. - A collaborative and growth-focused work environment. - A culture based on meritocracy without any internal politics. (Ref: hirist.tech),

As a Senior Data Scientist at EY, you will be part of a dynamic team where you can leverage your unique skills and experience to contribute to the development and implementation of cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, preferably with expertise in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a key role in designing and implementing AI models and systems. Your responsibilities will include collaborating with stakeholders to identify business opportunities, staying updated with the latest advancements in generative AI techniques such as LLMs, and utilizing tools like Azure Open AI GPT models and Hugging Face Transformers to enhance generative AI capabilities. Additionally, you will be responsible for implementing end-to-end pipelines for generative AI projects, conducting research on advanced AI techniques, and ensuring compliance with data privacy, security, and ethical considerations in AI applications. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with a Ph.D. being a plus. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch is required, along with a strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Experience with cloud platforms such as Azure, AWS, or GCP and expertise in data engineering, trusted AI practices, and collaboration with software engineering and operations teams are also essential. In addition to the core requirements, having skills in optimization tools, DevOps, MLOps practices, CI/CD pipelines, infrastructure as code principles, and monitoring and logging tools will be advantageous. By joining EY, you will have the opportunity to contribute to building a better working world by driving innovation, staying updated with the latest AI research, and collaborating effectively with stakeholders at various levels. EY is dedicated to creating long-term value for clients, people, and society while building trust in the capital markets through diverse teams in over 150 countries. With a focus on assurance, consulting, law, strategy, tax, and transactions, EY teams aim to find new answers to the complex issues facing the world today.,

You will be responsible for participating in the design and development of technical solutions to complement complex web-based EHR systems. Your role will involve overseeing the day-to-day activities of a sprinting team, including sprint planning, release milestone planning, and performance management. It is crucial that you write fast, efficient, and high-quality code to deliver great value to customers. Testing your work thoroughly and maintaining a low tolerance for bugs is a key aspect of this role. As a team leader, you will be expected to build a strong team and guide each member to success through coaching, mentorship, and accountability. Ensuring that each team member embraces Qualifacts core values, culture, and can contribute quickly to corporate goals is essential. You are also encouraged to bring new ideas, solutions, and feedback to the team and assist in architecting scalable and high-performance solutions while upholding best practices in software design and coding standards. Collaboration with Engineering leaders is a critical part of this role, as you will actively drive the development life cycle from requirements analysis to implementation and support. Understanding business requirements based on artifacts delivered by Business Analysts and Solutions Architects is necessary. Troubleshooting software applications and providing technical support to achieve development objectives are also part of your responsibilities. Your involvement in Agile/Scrum methodologies, including sprint planning, backlog grooming, and retrospective meetings is expected. It is important to stay updated with emerging technologies, industry trends, and best practices to contribute to the continuous improvement of the development process. Additionally, you may need to collaborate with cross-functional teams to define technical requirements and ensure the timely delivery of software solutions. In terms of qualifications, a Bachelor's degree or equivalent is required, preferably in computer science, information systems, business administration, or related fields. You should have at least 5 years of experience as a full stack developer with expertise in web applications, end-user applications, and back-end services. Additionally, 2 years of experience leading a software development team in an Agile environment is preferred. Strong leadership skills, experience coaching and mentoring technical team members, customer focus, keen sense of priority and urgency, commitment to engineering best practices, self-learning ability, problem-solving skills, accountability, and ownership are qualities that will be beneficial in this role. From a technical skills perspective, experience with ES6, React, Angular, or similar technologies, strong computer science fundamentals, past experience in software development, understanding of test-driven development, and motivation to learn and improve are important. Knowledge of Django, OpenAI, LLMs, and web networking including HTTP is considered a plus. Qualifacts is an equal opportunity employer that values diversity and is dedicated to creating an inclusive environment for all employees.,

You are a highly skilled Data Scientist with expertise in AI agents, generative AI, and knowledge engineering, tasked with enhancing AI-driven cloud governance solutions. Your main focus will be on advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs (OWL ontologies) in a Python environment. Working at the intersection of machine learning, AI-driven automation, and cloud governance, you will be responsible for designing intelligent agents that adapt dynamically to cloud ecosystems. Your contributions will play a crucial role in FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. Your key responsibilities will include designing, developing, and optimizing LLM-based multi-agent systems for cloud governance, implementing agent collaboration using frameworks like LangChain, AutoGen, or open-source MAS architectures, and developing adaptive AI workflows to enhance governance, compliance, and cost optimization. You will also be applying generative AI techniques such as GPT-4, Google Gemini, and fine-tuned BERT models to knowledge representation and reasoning, designing and managing knowledge graphs, OWL ontologies, and SPARQL queries for intelligent decision-making, and enhancing AI agent knowledge retrieval using symbolic reasoning and semantic search. Additionally, you will be developing embedding-based search models for retrieving and classifying cloud governance documents, fine-tuning BERT, OpenAI embeddings, or custom transformer models for document classification and recommendation, and integrating discrete event simulation (DES) or digital twins for adaptive cloud governance modeling. In the realm of cloud governance and automation, your tasks will involve working with multi-cloud environments (AWS, Azure, GCP, OCI) to extract, analyze, and manage structured/unstructured cloud data, implementing AI-driven policy recommendations for FinOps, SecOps, and DevOps workflows, and collaborating with CloudOps engineers and domain experts to enhance AI-driven automation and monitoring. To qualify for this role, you need to have at least 4+ years of experience in Data Science, AI, or Knowledge Engineering, strong proficiency in Python and relevant ML/AI libraries (PyTorch, TensorFlow, scikit-learn), hands-on experience with knowledge graphs, OWL ontologies, RDF, and SPARQL, expertise in LLMs, NLP, and embedding-based retrieval, familiarity with multi-agent systems, LangChain, AutoGen, and experience working with cloud platforms (AWS, Azure, GCP) and AI-driven cloud governance. Preferred qualifications include experience with knowledge-driven AI applications in cloud governance, FinOps, or SecOps, understanding of semantic search, symbolic AI, or rule-based reasoning, familiarity with event-driven architectures, digital twins, or discrete event simulation (DES), and a background in MLOps, AI pipelines, and cloud-native ML deployments. In return, you will have the opportunity to work on cutting-edge AI agent ecosystems for cloud governance in a collaborative environment that brings together AI, knowledge engineering, and cloud automation. Competitive compensation, benefits, and flexible work arrangements (remote/hybrid) are also part of the package. If you thrive in a fast-paced environment, demonstrate intellectual curiosity, and have a passion for applying advanced AI techniques to solve real-world cybersecurity challenges, this role is for you.,

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions that push the boundaries of what's possible through AI and human-machine collaboration. We are looking for a highly skilled and creative Prompt Engineer with 3+ years of experience in working with Large Language Models (LLMs) and generative AI systems. In this role, you will design and optimize high-quality prompts that drive intelligent, context-aware behavior in our AI applications. You'll work across teams to create conversational experiences, copilots, and autonomous agents that solve real-world problems. As a Prompt Engineer at Techvantage.ai, you will be responsible for designing, crafting, and iterating high-performing prompts for use in generative AI systems, including chatbots, assistants, and intelligent agents. You will collaborate with AI/ML engineers, UX designers, and product teams to build seamless, human-like experiences powered by LLMs. Your role will involve evaluating and optimizing prompts using model output analysis, human feedback, and automated testing. You will apply prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, function calling, and tool integration. Additionally, you will build and maintain prompt libraries, templates, and best practices documentation while monitoring LLM performance, identifying weaknesses, and fine-tuning prompt logic for specific use cases. To excel in this role, you should have 3+ years of professional experience in prompt engineering, NLP, conversational AI, or a closely related field. A strong working knowledge of LLMs (OpenAI GPT-4, Claude, LLaMA, etc.) and prompt tuning techniques is essential. You should demonstrate proven experience in designing and optimizing prompts for real-world applications, possess excellent analytical thinking and language structuring skills, and be proficient with Python, API integrations, and tools for working with generative AI models. Experience working in cross-functional teams on AI-driven product development and a strong understanding of AI capabilities, limitations, and ethical implications are also required. Preferred qualifications for this role include experience with AI toolchains such as LangChain, Semantic Kernel, or vector databases (e.g., Pinecone, Weaviate), a background in linguistics, computational linguistics, cognitive science, or HCI, familiarity with fine-tuning or reinforcement learning from human feedback (RLHF), and experience designing prompts for multi-modal AI systems (text + image, speech, etc.). At Techvantage.ai, you will have the opportunity to work on high-impact projects at the cutting edge of AI innovation in a collaborative and intellectually curious environment. Compensation is not a constraint for the right candidate as we value skill, impact, and innovation. We also provide access to continuous learning and professional development resources to support your growth and development.,

As a Gen AI Consultant with 3-4 years of experience in Generative AI, NLP, and Machine Learning, you will be an essential part of our team based in Hyderabad. Your primary role will involve developing AI-driven solutions, refining models, and integrating AI technologies into various business applications. Your key responsibilities will include designing and implementing Generative AI models such as LLMs, NLP, and Deep Learning. You will be required to fine-tune and optimize these AI models for improved performance and scalability. Additionally, you will play a crucial role in deploying chatbots, automation tools, and other AI-based applications using Python, TensorFlow, PyTorch, and Hugging Face frameworks. Furthermore, you will be responsible for deploying AI models through APIs, cloud platforms like AWS, Azure, Google AI, and vector databases. It will be essential for you to stay updated on the latest advancements in the field of AI and provide recommendations for innovative solutions. To excel in this role, you should possess 3-4 years of practical experience in Generative AI, NLP, and ML. Proficiency in LLMs such as GPT, BERT, T5, and experience in AI model deployment are essential. Strong knowledge of prompt engineering, data preprocessing, and model optimization is required. Experience with cloud-based AI services and MLOps, along with excellent problem-solving and communication skills, will be beneficial for your success in this position.,

About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Design solutions utilizing NLP models including chat assistants and RAG systems. Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tunning and alignment (SFT, RLHF, DPO) NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models ensuring latency, reliability, and scalability. Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Actively research, explore and identify the latest relevant methods and technologies What We&aposre Looking For : Basic Required Qualifications : Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Good understanding of machine learning and deep learning methods and their mathematical foundations 5-8 years of professional experience in Advanced Analytics / Data Science / Machine Learning 5-8 years hands-on experience developing NLP models, ideally with transformer architectures. Demonstrated experience with Python, PyTorch, Hugging Face or similar tools. Mastery of Python and ability to write robust and high standard, testable code Knowledge of developing or tuning LLMS Additional Preferred Qualifications : 3+ years of experience with implementing information retrieval systems. Experience with contributing to Open Source initiatives or in research projects and/or participation in Kaggle competitions. Publications related to Machine Learning or Deep Learning Ability to work in a team Able to report progress and summarize issues to a less technical audience Curious and open-minded attitude to new approaches About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What&aposs In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We&aposre more than 35,000 strong worldwide-so we&aposre able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&aposre committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&aposre constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world&aposs leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That&aposs why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It&aposs not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [HIDDEN TEXT] . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: [HIDDEN TEXT] and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning) Job ID: 317453 Posted On: 2025-08-26 Location: Ahmedabad, Gujarat, India Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: - A career in our Microsoft Dynamics team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office functions leveraging Salesforce. We focus on contributing to PwCs value proposition of strategy led, and technology enabled, by aligning our Consulting Solutions industry focus with the Salesforce technologies such as Salesforce Platforms, 365, Azure, Power Platform and Power BI. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmers and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. AI/ML Developer: Design, develop, and deploy AI/ML models in Azure App Services and Azure Kubernetes Service (AKS) Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch Develop and maintain applications using Microsoft .NET framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models Handle data preprocessing and feature engineering for both structured and unstructured data Implement CI/CD pipelines using Azure DevOps Manage data storage solutions using Azure Blob Storage Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly. Mandatory skill sets: Essential Skills: AI/ML development, Strong proficiency in Python, TypeScript, and/or C# Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn Expertise in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering Experience with Azure Text Analytics Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control Understanding of cloud-based AI/ML deployment Experience with Microsoft Teams and Graph API integration Knowledge of data preprocessing and feature engineering techniques. Preferred skill sets: Desirable Skills: 1. AI/ML development, AI-900: Azure AI Fundamentals (Must Have) Good to have: 1. DP-100: Azure Data Scientist Associate (Preferred) Years of experience required: 3 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming, Machine Learning Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Debugging, Emotional Regulation + 41 more Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date Show more Show less

About the Role We are looking for a passionate and experienced Software Engineer (E5 / E6 level) to join our Enterprise Search team, which is at the core of redefining how users discover and interact with information across Whatfix's digital adoption platform. This is a unique opportunity to solve deep information retrieval and search relevance challenges using scalable infrastructure, cutting-edge NLP, and Generative AI. As an engineer at this level, you'll be expected to operate with strong ownership, lead cross-team technical initiatives, and influence design choices that directly impact user experience and business outcomes. What You'll Do As a senior engineer, you will: Build a 0-to-1 Enterprise Search product with a strong focus on scalability, performance, and relevance. Lead proof-of-concept efforts to validate ideas quickly and align with business goals. Architect and implement robust, maintainable, and scalable systems for indexing, querying, and ranking. Develop data pipelines, implement automation for reliability, and ensure strong observability and monitoring. Work closely with Product Managers and Designers to translate user needs into data-driven, intuitive search experiences. Guide and support junior engineers through code reviews, technical direction, and best practices. Collaborate with cross-functional teams (data, platform, infra) to deliver cohesive and high-impact solutions. What We're Looking For Must-Have Skills: Familiarity with LLMs, RAG pipelines, or knowledge graph integrations. Deep expertise in information retrieval, search engines (Lucene, Elasticsearch, Solr). Experience with vector search, embeddings, and/or neural ranking models (e.g., BERT, Sentence Transformers). Strong programming skills in Java, Python, or Go. Familiarity with scalable data processing frameworks (e.g., Spark, Kafka, Flink). Good understanding of system design, APIs, caching, and performance tuning. Nice-to-Have: Experience with enterprise content connectors (SharePoint, Confluence, Jira, etc.). Experience working in a SaaS, B2B, or product-first environment. Qualifications 6-10+ years of experience building backend systems, infrastructure, or AI platforms at scale. Proven ability to own and deliver complex features independently, collaborate across teams, and mentor peers in a fast-paced environment. Demonstrated experience leading initiatives with significant technical and organizational impact - from setting direction to aligning stakeholders and driving execution.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Our Digital Product Organization is a collection of portfolios that drive value via technology across our BCG business. As a Product Analyst within the Generative AI portfolio, you'll play a pivotal role in shaping and delivering AI-powered tools that enhance productivity and unlock value for case teams across BCG. You'll operate at the intersection of business, technology, and user experience, collaborating with cross-functional teams to design, develop, and evolve GenAI solutions that are intuitive, effective, and scalable. Lead and facilitate requirement discovery sessions to deeply understand business context, user intent, and solution objectives Apply strong business acumen across industries and functions to inform product strategy and outcomes Design and refine Custom GPTs and prompts, driving the creation of user-centric GenAI experiences Run proofs of concept (POCs) to validate GenAI use cases, test feasibility, and inform product roadmap decisions Maintain a user-first mindset, actively learning from feedback to inform continuous improvement Communicate with transparency and clarity, adapting across leadership, product, and technical audiences Bring a data-driven lens to product decisions, experimentation, and prioritization Break down complex business problems through critical reasoning and structured problem-solving. Collaborate with development teams on technical feasibility, UX design, and usability within business constraints Build and maintain relationships with stakeholders and deliver engaging presentations that drive alignment and action Define and monitor KPIs that align with squad and organizational OKRs Identify and champion opportunities for innovation across a portfolio of GenAI tools and products What You'll Bring 3-6 years of experience as a Product Analyst or Business Analyst digital product role 3+ years in consulting or professional services, with exposure to multi-industry business contexts Proven ability to operate in agile environments, managing backlogs, sprints, and cross-functional collaboration. Experience working with or around AI/GenAI technologies, such as LLMs, NLP tools, APIs Experience with automation and agent-building tools (e.g., Power Automate, Power Apps, Copilot Agent etc.) (coding skills are a plus but not required) Experience with low code automation (Power Automate, Power Platform), Copilot Agent building to support process automation and low-code solution development Strong business acumen and strategic mindset, with the ability to translate business problems into product opportunities. Highly organized and proactive, with a track record of managing multiple initiatives and stakeholders effectively. Excellent written and verbal communication skills, with the ability to tailor messages to technical and non-technical audiences. Familiarity with data visualization or analytics tools such as Tableau, Power BI, or Alteryx is a plus Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. for more information on E-Verify.

Senior Vice President, Data Management & Quantitative Analysis Manager At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We're seeking a future team member for the role of Senior Vice President, Data Management & Quantitative Analysis Manager in Markets team. This role is located in Pune, MH - Hybrid. In this role, you'll make an impact in the following ways: Responsibilities Work with desk strats and quantitative analytics team to develop, maintain and support C++/Python analytics libraries used for pricing and risk analytics. Pricing Model development and OPM review for Rates, FX and Equity models. Work closely with platform engineering team on integration of analytics libraries into firm's risk systems. Investigate market data, pricing, and risk analytics issues. Work on implementation of AI based quantitative workflow solutions. Team lead for Quant Developer to drive quantitative business solutions. The successful candidate will demonstrate/possess: Bachelor's/Master's degree in relevant technical discipline: Computer Science, Mathematics, Financial engineering. Finance related qualification like CFA, FRM, CQF etc. is an advantage. Excellent programming knowledge in Python/C++ with financial maths and quant development work. Excellent knowledge of FX and Fixed Income products pricing, yield curve construction, scenario analysis, sensitivities calculations, PFE, VaR, CCAR stress scenarios. Good knowledge of development of pricing and risk analytics systems and tools. Good knowledge of object oriented analysis and common design patterns. Excellent analytical and problem solving skills. Good communication skills and ability to work with trading desk and platform engineering teams. Front office experience involving FX and Rates Good knowledge about LLMs and AI based quants workflow solutions. Preferred candidates: Top Tier colleges: IITs/BITs/NITs Professional experience with Investment Banking firms such as Goldman Sachs, JP Morgan, Morgan Stanley, Deutshce Bank etc. Professional certification in Finance: FRM, CQF or CFA. At BNY, our culture speaks for itself. Here's a few of our awards: America's Most Innovative Companies, Fortune, 2024 World's Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 , Disability: IN - 100% score, 2023-2024 Most Just Companies, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg's Gender Equality Index (GEI), 2023 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups / Females / Individuals with Disabilities/Protected Veterans.

Description To know more, check out. At Hike, we're building the Hike Gaming Nation ???? ???? In the fast-paced world of gaming, AI is our edge. As a ML Engineer, you're not just building models - you're powering the intelligence behind the Hike Gaming Nation. Your work turns cutting-edge research into real-time, scalable systems that make gameplay smarter, faster, and more immersive. You don't just build AI-you use it every day. You're an AI-first thinker, leveraging state-of-the-art tools and intelligent systems to move faster, build smarter, and continuously push boundaries. Introduction ???? At Hike, we're revolutionizing gaming and tech by blending innovation and immersive experiences. With our foray into Web3 gaming, we're exploring uncharted territories to create products that redefine fun and ownership. Join us as we make waves in this exciting new frontier. Hike Code ????( Our core cultural values ) The Hike Code is our value system. We aim to live and breathe by these every single day. They inspire us to be the best we can be and they are weaved into every part of our decision making, how we review performance and much more. We have 9 core values: Top Talent in Every Role ? Both a quest for greatness & shared values are important to us ??????? Owner not a Renter ? Proactive & radically responsible. Everyone is an owner ???? Pro-Sports Team ? Strength-based, results driven with a team-first attitude ?? Customer Obsession ? We exist to delight our customers ???? Think Deeply & Exercise Good Judgement ? Clear mind, obsession to simplify & data-informed ??????? Build & Make Magic ? Courage to walk into the unknown and pioneer new fronts ???? Be Insatiably curious & keep Improving ? Curiosity to acquire new perspectives, quickly ????????? Move Fast & Be Dynamic ? Ruthless prioritization & move fast ??????? Dream Big, Be Bold & Think Long Term ? Courage to climb big mountains ???? Skills & experience we're looking for ????????? 1-3 years of relevant industry experience | Top Talent in Every Role B.tech/MS from a top Tier institute | Top Talent in Every Role Strong programming abilities, especially Python Scientific & Deep Learning Stack (Numpy, Pandas, Pytorch/Tensorflow, Transformers, Diffusers etc.) | Top Talent in Every Role Solid foundations in Data-Structures, Algorithms, Design & Architecture | Top Talent in Every Role Exposure to Deep Learning, preferably building Generative AI applications | Top Talent in Every Role Experience working with LLMs such as Open AI GPTs, LLaMA & Claude with use cases taken to production. Preferably, experience working with SLMs and Mobile Language Models. | Top Talent in Every Role Strong AI-first mindset - you actively use AI tools (e.g., GitHub Copilot, GPT, LangChain) to enhance daily workflows, improve velocity, and automate repetitive dev tasks. | Be Insatiably curious & keep Improving Ability to work in a fast-paced environment without compromising on quality I Move Fast & Be Dynamic Ability to be self-directed and learn quickly, coupled with a strong desire to stay on top of latest developments in the field of AI | Be Insatiably curious & keep Improving Teamplayer with excellent organizational, communication and interpersonal skills I Pro Sports Team Excited about building cutting edge AI products in the fields of Computer Vision, Graphics, Audio, AR/VR etc., preferably with experience, in at least one of the areas | Be Insatiably curious & keep Improving You will ???? Strategy ? Build deep learning models in the areas of computer-vision, graphics & audio Strategy ? Own end to end Quality & Performance Metrics for AI deployment pipelines: from learning to inference to rendering Operations ? Create deployment pipelines for server-side as well as on-device real-time inference Operations ? Optimize ML inference pipelines to render high quality 3D graphics across multiple clients ranging from Android Native to game-engines like Unity. Collaboration ? Collaborate in a cross-functional setup including Artists, Engineers & Scientists to translate cutting-edge research (AI, Art & Graphics/Multimedia) into high quality user-experiences. Operation ? Leverage AI not just in product development but in your own workflow - from rapid prototyping with LLMs to automating test generation, documentation, and internal tooling. Benefits ? We have tremendous benefits & perks. Check out to know more

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernised, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Qualifications Bachelors Degree with relevant experience Masters degree Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment 5+ Years of Experience Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications complete assignments without assistance by exercising judgment & appropriate actions Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up Able to prepare data pipelines and feature engineering pipelines to build robust models Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain Drives selction of methods and techniques to drive solutions Demonstrate strong program management to be able to multi-task effectively Be able to mentor & lead junior data scientists effectively Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems Career Level - IC3

Brief Summary : Oracle Health & AI delivers a versatile, no-code platform designed to facilitate the creation, deployment, and operation of enterprise-scale integrations across both cloud and on-premises environments, as well as diverse information systems. By incorporating FHIR standards for healthcare data and harnessing advanced AI/ML features, including large language models (LLMs), pre-built accelerators, and workflow automation, Oracle significantly streamlines and modernizes healthcare applications. Team and Product Description : Oracle Health and AI (OHAI) is a cloud-managed service that operates natively on Oracle Cloud Infrastructure (OCI). OHAI facilitates connectivity with various data sources, including healthcare systems adhering to the FHIR (Fast Healthcare Interoperability Resources) standard. This service seamlessly integrates with both Oracle and non-Oracle SaaS applications, enterprise applications, databases, messaging systems, and diverse protocols such as REST, SOAP, OData, FTP, GraphQL, MLLP, and JDBC, across public, private, and on-premises networks. In this role, you will collaborate closely with Oracle Health's healthcare systems, leveraging FHIR mappings and advanced AI/LLM capabilities to ensure the seamless integration of clinical data with enterprise applications. This supports decision-making and predictive analytics in healthcare. The development team is responsible for requirements gathering, system design, architecture, implementation, and support for cloud-native integrations, including FHIR-based applications and LLM-driven services. Our team is dedicated to enhancing healthcare interoperability, tackling data and application integration challenges to create a superior and seamless experience. Description of the Role : Design and develop cloud-native enterprise software products and services, focusing on distributed, scalable, fault-tolerant, and multi-tenant cloud services for healthcare applications using FHIR and LLM-based models for natural language processing (NLP). Build FHIR-compliant integrations with Oracle Health's healthcare data systems, ensuring adherence to FHIR standards in data exchange, patient record management, and clinical workflows, while integrating LLMs to provide contextual insights and automated processing of clinical data. Develop healthcare cloud applications following microservices and twelve-factor application principles, optimizing for data integration with FHIR-based services and LLMs for advanced text-based analysis and healthcare recommendations. Focus on API-first design using OpenAPI, Swagger, and test-driven development, ensuring integration with FHIR-based healthcare data through RESTful APIs, and leveraging LLMs for real-time patient data analytics. Code in Java, leveraging RESTful APIs, microservices, Docker, and Kubernetes, with integration into healthcare data systems at Oracle Health that use FHIR, and incorporating LLMs for scalable NLP tasks, such as summarizing patient information or automating documentation. Work with prominent healthcare APIs and other systems like AWS, Microsoft Azure, GCP, and Salesforce to facilitate healthcare data exchange, with programming languages like Java, Go, Python, JavaScript, and NodeJS, integrating AI-driven solutions and LLMs for intelligent data extraction. Implement message interchange formats such as JSON/JSON Schema, XML, Avro, and FHIR resources, while integrating LLM-based AI models to enhance decision-making, predictive analytics, and patient engagement. Collaborate with JavaScript frameworks like OJET, ReactJS, and AngularJS to create dynamic, healthcare-driven user interfaces, integrating with FHIR-based patient data systems and enhancing user experience with LLM-driven insights and contextual support. Provide technical evaluations, optimize applications, and implement best practices in developing cloud-native healthcare applications with FHIR and LLM capabilities for Oracle Health. Create reusable solutions that can accelerate the creation of healthcare applications using FHIR and LLMs, streamlining the integration with EHR and clinical systems, and delivering smarter healthcare insights. Preferred Qualifications : B.E./B.Tech/M.S./M.Tech in Computer Science. 3+ years of experience in cloud service development. Experience with LLMs, natural language processing (NLP), and integrating AI models into enterprise applications. Knowledge of healthcare standards like FHIR and experience in integrating healthcare data across enterprise applications would be beneficial. Strong ability to innovate and excel in a fast-paced environment, especially in the healthcare, AI, and cloud integration space. In this role, you'll be contributing to healthcare innovation at Oracle Health, focusing on integrating critical clinical data using FHIR, while leveraging LLM-based AI solutions and the power of Oracle Cloud Infrastructure to drive scalable and reliable healthcare solutions. The role involves designing, developing, and operating scalable, multi-tenant cloud services on Oracle Cloud Infrastructure (OCI) for Oracle Health & AI, with a focus on integrating healthcare systems using FHIR standards. You will build cloud-native applications and FHIR-compliant integrations, ensuring smooth data exchange in clinical workflows. Leveraging large language models (LLMs) and AI-driven solutions, you'll enhance decision-making, predictive analytics, and automate healthcare processes. Responsibilities include API development, microservices architecture, and working with RESTful APIs and various data formats. You'll collaborate with teams to create reusable, FHIR-based solutions, focusing on healthcare interoperability and AI integration. Experience with cloud platforms, FHIR, and LLMs is preferred. Key Responsibilities: Design and Development: Create and implement scalable, multi-tenant cloud services on Oracle Cloud Infrastructure (OCI) tailored for Oracle Health. Integration: Develop and integrate healthcare systems using FHIR standards to ensure smooth data exchange in clinical workflows. Cloud-Native Applications: Build cloud-native applications and ensure compliance with FHIR standards for healthcare integrations. Decision-Making and Analytics: Leverage large language models (LLMs) and AI-driven solutions to enhance decision-making processes, predictive analytics, and automation in healthcare. API Development: Design and develop RESTful APIs to facilitate seamless integration and interaction with various healthcare data formats. Microservices Architecture: Implement and maintain a robust microservices architecture to support scalable and efficient cloud services. Collaborative Efforts: Work closely with cross-functional teams to create reusable, FHIR-based solutions focusing on healthcare interoperability and AI integration. Operational Excellence: Monitor, operate, and maintain cloud services to ensure optimal performance, reliability, and scalability. Compliance and Standards: Ensure all cloud services and integrations comply with industry standards and regulations, particularly in healthcare. Career Level - IC3

Brief Summary : Oracle Health & AI delivers a versatile, no-code platform designed to facilitate the creation, deployment, and operation of enterprise-scale integrations across both cloud and on-premises environments, as well as diverse information systems. By incorporating FHIR standards for healthcare data and harnessing advanced AI/ML features, including large language models (LLMs), pre-built accelerators, and workflow automation, Oracle significantly streamlines and modernizes healthcare applications. Team and Product Description : Oracle Health and AI (OHAI) is a cloud-managed service that operates natively on Oracle Cloud Infrastructure (OCI). OHAI facilitates connectivity with various data sources, including healthcare systems adhering to the FHIR (Fast Healthcare Interoperability Resources) standard. This service seamlessly integrates with both Oracle and non-Oracle SaaS applications, enterprise applications, databases, messaging systems, and diverse protocols such as REST, SOAP, OData, FTP, GraphQL, MLLP, and JDBC, across public, private, and on-premises networks. In this role, you will collaborate closely with Oracle Health's healthcare systems, leveraging FHIR mappings and advanced AI/LLM capabilities to ensure the seamless integration of clinical data with enterprise applications. This supports decision-making and predictive analytics in healthcare. The development team is responsible for requirements gathering, system design, architecture, implementation, and support for cloud-native integrations, including FHIR-based applications and LLM-driven services. Our team is dedicated to enhancing healthcare interoperability, tackling data and application integration challenges to create a superior and seamless experience. Description of the Role : Design and develop cloud-native enterprise software products and services, focusing on distributed, scalable, fault-tolerant, and multi-tenant cloud services for healthcare applications using FHIR and LLM-based models for natural language processing (NLP). Build FHIR-compliant integrations with Oracle Health's healthcare data systems, ensuring adherence to FHIR standards in data exchange, patient record management, and clinical workflows, while integrating LLMs to provide contextual insights and automated processing of clinical data. Develop healthcare cloud applications following microservices and twelve-factor application principles, optimizing for data integration with FHIR-based services and LLMs for advanced text-based analysis and healthcare recommendations. Focus on API-first design using OpenAPI, Swagger, and test-driven development, ensuring integration with FHIR-based healthcare data through RESTful APIs, and leveraging LLMs for real-time patient data analytics. Code in Java, leveraging RESTful APIs, microservices, Docker, and Kubernetes, with integration into healthcare data systems at Oracle Health that use FHIR, and incorporating LLMs for scalable NLP tasks, such as summarizing patient information or automating documentation. Work with prominent healthcare APIs and other systems like AWS, Microsoft Azure, GCP, and Salesforce to facilitate healthcare data exchange, with programming languages like Java, Go, Python, JavaScript, and NodeJS, integrating AI-driven solutions and LLMs for intelligent data extraction. Implement message interchange formats such as JSON/JSON Schema, XML, Avro, and FHIR resources, while integrating LLM-based AI models to enhance decision-making, predictive analytics, and patient engagement. Collaborate with JavaScript frameworks like OJET, ReactJS, and AngularJS to create dynamic, healthcare-driven user interfaces, integrating with FHIR-based patient data systems and enhancing user experience with LLM-driven insights and contextual support. Provide technical evaluations, optimize applications, and implement best practices in developing cloud-native healthcare applications with FHIR and LLM capabilities for Oracle Health. Create reusable solutions that can accelerate the creation of healthcare applications using FHIR and LLMs, streamlining the integration with EHR and clinical systems, and delivering smarter healthcare insights. Preferred Qualifications : B.E./B.Tech/M.S./M.Tech in Computer Science. 3+ years of experience in cloud service development. Experience with LLMs, natural language processing (NLP), and integrating AI models into enterprise applications. Knowledge of healthcare standards like FHIR and experience in integrating healthcare data across enterprise applications would be beneficial. Strong ability to innovate and excel in a fast-paced environment, especially in the healthcare, AI, and cloud integration space. In this role, you'll be contributing to healthcare innovation at Oracle Health, focusing on integrating critical clinical data using FHIR, while leveraging LLM-based AI solutions and the power of Oracle Cloud Infrastructure to drive scalable and reliable healthcare solutions. The role involves designing, developing, and operating scalable, multi-tenant cloud services on Oracle Cloud Infrastructure (OCI) for Oracle Health & AI, with a focus on integrating healthcare systems using FHIR standards. You will build cloud-native applications and FHIR-compliant integrations, ensuring smooth data exchange in clinical workflows. Leveraging large language models (LLMs) and AI-driven solutions, you'll enhance decision-making, predictive analytics, and automate healthcare processes. Responsibilities include API development, microservices architecture, and working with RESTful APIs and various data formats. You'll collaborate with teams to create reusable, FHIR-based solutions, focusing on healthcare interoperability and AI integration. Experience with cloud platforms, FHIR, and LLMs is preferred. Key Responsibilities: Design and Development: Create and implement scalable, multi-tenant cloud services on Oracle Cloud Infrastructure (OCI) tailored for Oracle Health. Integration: Develop and integrate healthcare systems using FHIR standards to ensure smooth data exchange in clinical workflows. Cloud-Native Applications: Build cloud-native applications and ensure compliance with FHIR standards for healthcare integrations. Decision-Making and Analytics: Leverage large language models (LLMs) and AI-driven solutions to enhance decision-making processes, predictive analytics, and automation in healthcare. API Development: Design and develop RESTful APIs to facilitate seamless integration and interaction with various healthcare data formats. Microservices Architecture: Implement and maintain a robust microservices architecture to support scalable and efficient cloud services. Collaborative Efforts: Work closely with cross-functional teams to create reusable, FHIR-based solutions focusing on healthcare interoperability and AI integration. Operational Excellence: Monitor, operate, and maintain cloud services to ensure optimal performance, reliability, and scalability. Compliance and Standards: Ensure all cloud services and integrations comply with industry standards and regulations, particularly in healthcare. Career Level - IC3

Job Description Skill needed to succeed in the job u2013 5-8 years of software development experience. Hands on coding and design background. Proficient in Python, AWS, K8, Dockers, load balancing, API development, .Net, UI frameworks like REACT, Typescript etc. Desirable to have Gen AI background u2013 LLMs, prompt engineering. Added advantage to have an experience in RUST. Passionate to automate. Build, maintain and enhance pipelines u2013 CI & CD. Ability to explore and rapid prototyping through effective collaboration across geographies A continuous learner, CURIOUS and goal oriented. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion . #LI-PHILIN #LI-Onsite #LI-EU

Job Description Skill needed to succeed in the job u2013 5-8 years of software development experience. Hands on coding and design background. Proficient in Python, AWS, K8, Dockers, load balancing, API development, .Net, UI frameworks like REACT, Typescript etc. Desirable to have Gen AI background u2013 LLMs, prompt engineering. Added advantage to have an experience in RUST. Passionate to automate. Build, maintain and enhance pipelines u2013 CI & CD. Ability to explore and rapid prototyping through effective collaboration across geographies A continuous learner, CURIOUS and goal oriented. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion . #LI-PHILIN #LI-Onsite #LI-EU

Job Description Skills needed to succeed in the job u2013 10-13 years of software development experience. Hands on coding and design background. Proficient in Python, AWS, K8, Dockers, load balancing, API development, .Net, UI Frameworks like REACT, Typescripts. Knowledgeable about Gen AI u2013 LLMs, prompt engineering. Good understanding of Security requirements and responsible AI. Ability and interest to learn new programing language, evolving technologies. Passionate to automate. Build, maintain and enhance pipelines u2013 CI & CD. Ability to explore and rapid prototyping through effective collaboration across geographies A continuous learner, CURIOUS and goal oriented. Proactive in building on ideas. End to end thinking. Ability to take a step back and have a holistic approach to the problem solving. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion . #LI-PHILIN #LI-Onsite #LI-EU

Job Description About the Role: 5-8 years of software development experience. Hands on coding and design background. Proficient in Python, AWS, K8, Dockers, load balancing, API development, .Net, UI frameworks like REACT, Typescript etc.a Desirable to have Gen AI background u2013 LLMs, prompt engineering. Added advantage to have an experience in RUST. Passionate to automate. Build, maintain and enhance pipelines u2013 CI & CD. Ability to explore and rapid prototyping through effective collaboration across geographies A continuous learner, CURIOUS and goal oriented. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion . #Connectedcare

Job Description Software Technologist I Analyses, designs, tests, codes, secures, debugs, modifies, deploys, integrates and maintains (system) software enhancements, test environment and/or new software. Uses state-of-the-art technologies and practices. Interacts with users / product owners to define / adjust requirements and/or necessary modifications. Keeps abreast of technical developments and practices in own field through literature, courses/trainings, technical contacts, and competitive environment. Applies agile software development methods as a member of agile teams. Your Role: Participates in full software development processes, working with broader autonomy and in pairing mode with other software team members, challenging requirements, design, and quality. Serves as a recognized technical expert in specific areas within the team, leading the creation of software designs and providing guidance on best practices. Takes on moderately complex software development tasks, collaborating with senior team members to deliver high-quality software solutions that meet project requirements. Develops and executes comprehensive test plans, including unit, integration, and system tests, to ensure software reliability, performance, and adherence to specifications. Conducts thorough code reviews to ensure adherence to coding standards, identify potential bugs, and promote best practices in software development, fostering a culture of continuous improvement and high-quality code. Supports DevOps in deploying software, setting, monitoring, and ensuring own performance metrics are met, while also defining, monitoring, and meeting broader performance and quality metrics. Diagnoses and resolves software defects by analyzing logs, reproducing issues, and implementing effective fixes to enhance software reliability and performance. Creates and maintains comprehensive technical documentation, including system architecture diagrams, API specifications, and user guides to facilitate knowledge sharing and support. Keeps abreast of emerging technologies, industry trends, and best practices in software development to continuously improve skill sets and apply innovative solutions. Applies analytical skills to resolve medium complexity requests efficiently, exercising judgment within defined procedures/practices to determine appropriate action. u00A0 You are fit if: 5-8 years of experience in software Development. Hands on coding and design background. Proficient in C++ technology development Proven solid hands-on experience in AI tools - CoPilot practitioner experience ex: GitHub CoPilot in the SDLC process Desirable to have Gen AI background u2013 LLMs, prompt engineering. Passionate to automate. Build, maintain and enhance pipelines u2013 CI & CD. Ability to explore and rapid prototyping through effective collaboration across geographies A continuous learner, CURIOUS and goal oriented Experience is healthcare domain preferred At least a Bachelor degree in Electronics, SW Engineering, Informatics, Computer Science or equivalent How we work together: We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. u00A0 Onsite roles require full-time presence in the companyu2019s facilities. u00A0 Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. u00A0 This role is an office-based role. u00A0 About Philips: We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care . #LI-PHILIN #ImageGuidedTherapy

Job Description Innovation Engineering (IEN) partners with Business Units and Functions to accelerate innovation and enhance quality, aligning closely with product roadmaps and priorities. W e provide a focused portfolio of digital innovation and system platforms that enable our Philips Businesses to scale innovation AI Solution Architect As an AI Solutions Architect within the AI Council, you will drive AI adoption across Innovation Engineering by identifying and prioritizing high-impact AI use cases, ranging from Generative AI to vision-based quality control and predictive analytics for factory optimization. You will design and develop AI-enabled prototypes, providing hands-on technical expertise to engineering teams while aligning solutions with business objectives. Collaborating with stakeholders, you will create scalable AI architectures that integrate into hardware, systems, and software workflows. Your strategic influence ensures AI initiatives deliver measurable value, bridging business needs with technical execution. Your role: Strategic Enablement u00A0 Drive adoption of ( Ge n ) AI across Innovation Engineering by helping teams move from idea to impact u00A0 Identify high-value, feasible AI use cases in collaboration with domain experts and product owners u00A0 Serve as a trusted technical advisor to senior stakeholders and engineering leaders u00A0 Translate business objectives into actionable AI architectures and MVPs u00A0 u00A0 S olution Design u00A0 Design end-to-end AI solutions involving LLMs, prompt engineering, MCPs , agents but also non LLM application of machine learning for e.g vision, acoustics, mechatronics and factory applications. As well as data driven optimization in engineering workflows.u00A0 u00A0 Select appropriate AI models (open source or commercial) and platforms . u00A0 Define technical blueprints and reusable components for use across the organization . Balancing u201Cbuy and makeu201D preferably leveraging existing industry standard tooling over home grown solutions.u00A0 u00A0 u00A0 Execution & Governance u00A0 Guide cross-functional teams during development, testing, and deployment phases u00A0 Ensure compliance with Philips security, privacy, and regulatory standards u00A0 Promote best practices for model evaluation, prompt engineering, and human-in-the-loop feedback u00A0 Contribute to shared GenAI standards and reference implementations to scale impact u00A0 Ensure seamless integration, deployment, and operationalization of AI/ML solutions. You're the right fit if: Bacheloru2019s Degree in Information Technology or related field. Master's degree is preferred. At least 12 yearsu2019 experience , with p roven experience in AI/ML solution architecture and s y stem engineering , ideally in an enterprise or regulated environment u00A0 Deep understanding of generative AI technologies (LLMs, prompt engineering, retrieval-based generation, agents) u00A0 Strong hands-on experience with cloud-based AI platforms and modern GenAI toolkits and frameworks. u00A0 Familiarity with programming concepts and common AI/ML development languages (e.g., Python) u00A0 Exper ience in classical computer vision (OpenCV, image preprocessing, object detection, etc.) would be nice to have . u00A0 Ability to communicate complex technical topics to non-technical audiences u00A0 Ability to thrive in a multi stakeholder environment u00A0 Systems thinking mindset and ability to work across domains (hardware, systems, software) u00A0 Collaborative, proactive, and energized by enabling others to succeed u00A0 Handson experience in applied Data and AI is a must u00A0 How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. This role is an office-based role. u00A0 About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care . #LI-PHILIN

We seek a hands-on Delivery Lead with 1012 years of experience to own end-to-end execution of AI/ML projects, mentor technical teams, and collaborate with sales to scale our consulting solutions. Key Responsibilities 1. Project Delivery Own client-facing AI/ML projects from scoping to deployment, ensuring quality, timelines, and business impact. Guide teams on architecture, model design, and deployment (cloud/on-prem). 2. Team Leadership Lead and mentor data scientists/engineers, fostering skill growth and collaboration. Drive best practices in AI/ML (LLMs, MLOps, Agile). 3. Sales Collaboration Partner with sales to scope proposals, estimate efforts, and present technical solutions to clients. Must-Have Skills 10-12 years in AI/ML, with 5+ years leading teams in consulting/client delivery. Expertise in: o AI/ML frameworks (TensorFlow, PyTorch, LLMs). o Cloud platforms (AWS/Azure/GCP) and CI/CD pipelines. o Python/R, data engineering (Spark, Kafka). Strong communication and client/stakeholder management. Good to Have Familiarity with MLOps (Docker, Kubernetes). Agile/Scrum certification. Qualifications Bachelors/Masters in CS, Data Science, or related field. Certifications (e.g., AWS ML, Azure AI Engineer) are a plus.

Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and toolsSourcing & Screening US profiles.

Role Overview: We are seeking an experienced and visionary AI & Distributed Systems Architect to lead the design and implementation of large-scale, AI-driven distributed systems. The successful candidate will pioneer transformative AI solutions, including leveraging Generative AI, Machine Learning (ML), sophisticated agentic workflows, and context-aware data platforms. You will play a crucial role in defining architecture strategies, driving innovation, and leading technical teams to deliver cutting-edge capabilities at scale. Key Responsibilities: Lead the architecture design, development, and deployment of AI-powered distributed systems. Develop scalable, reliable, and high-performance solutions using Generative AI, ML models, and advanced data platforms. Implement agentic workflows incorporating AI agents and context-memory solutions, utilizing technologies such as Typesense and vector search platforms. Collaborate closely with product, engineering, and data science teams to integrate AI/ML functionalities seamlessly across systems. Drive technical excellence, mentoring teams on best practices and innovative architectural approaches. Ensure robust security, compliance, and ethical standards are embedded within AI architectures. Continuously evaluate emerging technologies and methodologies to improve system performance and scalability. Qualifications: Bachelor's/Masters degree in Computer Science, AI, Data Science, or a related field. 8+ years of experience in architecting and implementing large-scale distributed systems. Proven expertise in Generative AI, LLMs (Large Language Models), AI/ML workflows, and realtime data platforms. Hands-on experience with agentic workflows, context-memory implementations, and technologies like Typesense, Elasticsearch, or equivalent vector search platforms. Strong proficiency in cloud-native technologies, Kubernetes, streaming platforms (Kafka/Pulsar), and data storage solutions (Iceberg, Delta Lake). Excellent leadership skills, with a demonstrated ability to mentor and guide technical teams. Exceptional communication skills, capable of articulating complex technical concepts clearly and effectively. Preferred Skills: Experience working in AI-first product environments. Familiarity with multi-tenant SaaS architectures. Prior experience disrupting traditional ITSM/ITAM workflows using AI. Contributions to open-source AI or data community projects. Join us to build a next-generation AI platform poised to revolutionize industry workflows through cutting-edge technology and innovation.