1891 Openai Jobs - Page 42

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. FTE with AI/ML expertise is required to build internal knowledge and to support the AI Initiative scrum teams as Lead & Coach Primary Responsibilities: AI/ML Engineers code and develop software that deploys ML models and algorithms into production Communicate and present complex analytics results and concepts to leadership and internal stakeholders Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR) Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience Work with large scale computing frameworks, data analysis systems Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages Apply AI/ML expertise to build internal knowledge and to support the AI Initiative scrum teams as Lead & Coach Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI ML roles Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Proficiency with cloud development environments such as Azure Proficiency with experience in ML and NLP R&D with demonstrable impact Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good grasp of using LLMs, Deploying LLMs Proficiency in libraries such as Hugging face and OpenAI API At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Way of working - Work from office (5 days a week) Job Title : Software Development Engineer I Location : Bangalore Tenure : 1- 3years Position Overview:  As an SDE I at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team’s systems, co-driving the team’s technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for? B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 1 – 3 years of Experience in Product Development Company Experience working with AI agents , including multi-agent architectures . Familiarity with agentic AI systems and conversational AI platforms. Practical knowledge of LLMs (Large Language Models) , including integration with providers like OpenAI , Anthropic (Claude) , Bedrock , Falsh , and Azure OpenAI . Strong design skills involving data modeling and low level class design Good knowledge of object oriented programming and design pa erns Proficiency in at least one programming language - Python, Java, Golang Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems Hands-on experience of working with Databases and Linux/Unix platform Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. Strong technical aptitude and good knowledge of CS fundamentals What will you get to do here? Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create Implementation of long term technology vision for your team. Creating architectures & designs for new solutions around existing/new areas Decide technology & tool choices for your team & be responsible for them. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

Job Title: AI/ML Internship Job description AI and Machine Learning Internship at PGAGI Join PGAGI, a cutting-edge AI consultancy firm that specializes in integrating intelligent solutions into businesses. We're at the forefront of creating advanced AI systems, from fully autonomous chatbots that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies. Number of openings: 4 Duration: 6 months Key Responsibilities: - Experience working with python, LLM, Deep Learning, NLP, etc.. - Utilize GitHub for version control, including pushing and pulling code updates. - Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models. - Engage in prompt engineering and the fine-tuning process of AI models. Requirements: - Proficiency in Python programming. - Experience with GitHub and version control workflows. - Familiarity with AI platforms such as Hugging Face and OpenAI. - Understanding of prompt engineering and model fine-tuning. - Excellent problem-solving abilities and a keen interest in AI technology. Perks : - Hands-on experience with real AI projects. - Mentoring from industry experts. - A collaborative, innovative and flexible work environment After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA). Selection process: Please ensure that your application includes an updated CV, a cover letter detailing your motivation, and any relevant work or projects related to AI. 1. Initial Screening: Our team will review your submission for evidence of your skills and experience. We prioritize candidates who show a strong foundation in AI and a passion for innovation. 2. Task Assignment: You will find the assignment on our careers page. This task is designed to assess. 4. Performance Review: Upon task submission, our experts will evaluate your work. Excellence in this stage is crucial for moving forward in the process. 4. Interview: Candidates who impress us with their task performance will be invited for an interview. This is your opportunity to shine and show us how you can contribute to our team’s success. 5. Onboarding: Post a successful interview, we’ll welcome you aboard! Get ready to dive into exciting projects and contribute to the field of AI. Compensation: - Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining. - Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix. Industry Information Technology & Services Employment Type Full-Time How to Apply: https://pgagi.in/Career Shortlisted candidates will be contacted for an interview. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Digital Engineering – NCLC - M365 Copilot Developer_Staff The opportunity We are seeking resources with expertise in the M365 Suite, particularly in M365 CoPilot development, extended configurations, and integrations, along with experience in Azure Open AI / GenAI and related technologies. These professionals will join our Digital Engineering Consulting team . This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your key responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes 1-3 years development in O365 / M365 6-12 months of hands-on experience with Microsoft 365 Copilot. (must have) Core Copilot Skills: Configure / customize robust AI solutions using Microsoft's Copilot Studio, M365 Copilot. Experience in creating custom agents. Develop Declarative Agents to extend the capabilities of M365 Copilot. Integrate Power Platform (Power Automate, Power Apps, Power BI) for automation and custom apps. Leverage Azure services (Functions, OpenAI, etc.) for scalable Copilot solutions. Craft effective prompts to guide AI models and optimize their performance. Ability to work on integration of services using Power Automate Cloud flows and Azure functions, Azure APIM. Strong expertise on Microsoft Copilot studio. Core Microsoft 365 Skills: Microsoft 365 Suite: Deep understanding of core applications like Word, Excel, PowerPoint, Outlook, Teams, SharePoint, OneDrive, and Power BI. Microsoft Graph API: Proficiency in using Graph API to access and manipulate data across various Microsoft 365 services. Power Platform: Knowledge of Power Apps, Power Automate, and Power BI for building custom solutions and automating workflows. AI and Machine Learning: (optional) AI Fundamentals: Understanding of AI concepts, machine learning, and natural language processing. Prompt Engineering: Ability to craft effective prompts to guide the AI model and generate desired outputs. AI Frameworks: Knowledge of AI Frame works such as Lang Chain. Model Training and Fine-tuning: Knowledge of training and fine-tuning AI models for specific use cases. Development and Engineering: (Must have) Programming Languages: Proficiency in languages like C#, Python, JavaScript, and TypeScript. Web Development: Experience with HTML, CSS, and JavaScript frameworks like React or Angular. Azure Functions and Logic Apps: Knowledge of serverless computing and workflow automation. Azure DevOps: Understanding of CI/CD pipelines and DevOps practices. Soft Skills: Problem-solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Communication Skills: Effective communication with both technical and non-technical stakeholders. Collaboration: Working effectively in cross-functional teams. Adaptability: Staying updated with the latest trends and technologies. Customer Focus: Understanding client needs and delivering solutions that meet their requirements. Maintain a positive and constructive outlook, focus on driving results, finding solutions / breakthroughs to solve problems and challenges; has a positive influence on peers. Interpersonal and communication skills. To qualify for the role, you must have A bachelor's or master's degree A minimum of 1-3 years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Description: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.

Job Title: Optimization Scientist – Route & Inventory Optimization (OR & RL) Location: Hyderabad (On-site) Experience Required: 1+ year Company Overview: We are a leading AI-driven supply chain solutions company focused on transforming retail, FMCG, and logistics through cutting-edge technologies in machine learning, operations research, and reinforcement learning. Our mission is to build intelligent systems that enhance decision-making and automate processes across forecasting, inventory, and transportation. Internship Overview: We are seeking a passionate and motivated AI/ML Intern to support the development of intelligent optimization systems for route planning and inventory allocation. You will work alongside experienced scientists and engineers, gaining hands-on experience in applying machine learning, reinforcement learning, and operations research to real-world logistics challenges. Key Responsibilities: 🔹 Assist in Route Optimization Projects: Support in modeling and solving simplified versions of Vehicle Routing Problems (VRP) under guidance. Work with Python libraries like Pyomo or OR-Tools to prototype optimization solutions. Explore reinforcement learning methods (e.g., DQN, PPO) for dynamic routing decisions under uncertainty. 🔹 Support Inventory Optimization Efforts: Learn to model multi-echelon inventory systems using basic OR and simulation techniques. Analyze historical data to understand stock levels, service times, and demand variability. Help design experiments to evaluate replenishment strategies and stocking policies. 🔹 Contribute to AI-Driven Decision Systems: Assist in integrating ML forecasting models with optimization pipelines. Participate in the development or testing of simulation environments for training RL agents. Collaborate with the team to evaluate model performance using historical or synthetic datasets. Required Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or related field. Good understanding of Python and key libraries (NumPy, Pandas, Matplotlib, Scikit-learn). Familiarity with basic optimization concepts (LP/MILP) and libraries like OR-Tools or Gurobi (student license). Basic knowledge of reinforcement learning frameworks (OpenAI Gym, Stable-Baselines3) is a plus. Strong problem-solving skills and willingness to learn advanced AI/OR techniques. What You’ll Gain: Hands-on exposure to real-world AI and optimization use cases in logistics and supply chain. Mentorship from experienced scientists in OR, ML, and RL. Experience working in a fast-paced, applied research environment. Opportunity to convert to a full-time role based on performance and business needs. About WINIT: WINIT is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience. We serve more than 600 global enterprises, helping them enhance efficiency, streamline logistics, and leverage AI/ML to optimize sales operations. With a commitment to innovation and global support, WINIT continues to lead digital transformation in sales. Show more Show less

Job Description We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. Natural Abilities Smart, self motivated, responsible and out of the box thinker. Detailed oriented and powerful analyzer. Great writing and communication skills. Requirements 5+ years of total software development experience with a strong foundation in Python. 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). Exposure to agent frameworks and multi-agent orchestration. Excellent written and verbal communication skills Proven ability to lead and mentor team members on technical and architectural decisions. Responsibilities Lead the design and development of GenAI/LLM-based products and solutions. Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,200,000.00 per year Schedule: Day shift Monday to Friday Experience: Gen ai: 4 years (Required) Location: Adajan, Surat, Gujarat (Preferred) Work Location: In person Expected Start Date: 20/06/2025

Overview The Sr Software Engineering Analyst will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the corner stone of scalable digital transformation across PepsiCo’s value chain. This candidate will support the end-to-end software development experience, and deliver high quality software as part of the DevOps process. The candidate in this role will be responsible for architecting and building applications for mobile platforms, collaborating with cross-functional teams to define, design, and develop new features, provide technical oversight and direction to our software development team to ensure we deliver the best possible software solutions and ensure they are generating value through cost savings or incremental value. This candidate will work closely with the user experience, product, IT, and process engineering teams to develop new products and prioritize deliver solutions across S&T core priorities. Responsibilities Develop and maintain mobile applications using React Native. Build reusable components and front-end libraries for future use. Integrate with RESTful APIs and third-party libraries. Familiarity with AI tools and platforms, such as: OpenAI (GPT-3/4, Assistants API), Anthropic, or similar LLM providers. Ability to integrate AI capabilities into applications, such AI copilots, smart chatbots, automated data processors, content generators. Understanding of prompt engineering, context handling, and AI output refinement. Work closely with product, design, and engineering teams to deliver high-quality mobile experiences. Ensure the performance, quality, and responsiveness of applications. Write clean, scalable, and well-documented code. Participate in code reviews and provide constructive feedback to peers. Debug and fix issues, perform unit and integration testing. Qualifications A Bachelor’s Degree in Computer Science, Engineering or a related field Proven experience as a React Native Developer (5+ years). Strong proficiency in JavaScript and TypeScript. Solid understanding of mobile development principles and best practices. Familiarity with native build tools, like XCode, Android Studio, Gradle. Experience with state management libraries (e.g., Redux, MobX, Zustand). 2+ years of experience on architecting fault tolerant, high scale distributed systems Ability to integrate AI capabilities into applications, such AI copilots, smart chatbots, automated data processors, content generators. Commanding knowledge of data structures, algorithms, and object oriented design Knowledge of REST APIs, offline storage, and performance tuning. Familiar with version control systems like Git. Understanding of deployment and publishing processes for App Store and Google Play. Experience with Azure, Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions Experience with mission critical, 24x7 systems Experience with high throughput cloud native distributed systems Strong problem-solving skills and ability to work independently. Show more Show less

Overview The Sr Software Engineering Analyst will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the corner stone of scalable digital transformation across PepsiCo’s value chain. This candidate will support the end-to-end software development experience, and deliver high quality software as part of the DevOps process. The candidate in this role will will play a key role in designing, building, and maintaining scalable and high-performance backend services that power our applications, collaborating with cross-functional teams to define, design, and develop new features, provide technical oversight and direction to our software development team to ensure we deliver the best possible software solutions and ensure they are generating value through cost savings or incremental value. This candidate will work closely with the user experience, product, IT, and process engineering teams to develop new products and prioritize deliver solutions across S&T core priorities. Responsibilities Design, develop, and maintain robust and scalable backend systems using Spring Boot. Build and manage RESTful APIs and microservices architecture. Collaborate with frontend developers, DevOps engineers, and product teams to deliver end-to-end features. Ensure code quality through unit testing, integration testing, and code reviews. Participate in architecture discussions and contribute to technical decision-making. Optimize applications for performance, scalability, and security. Familiarity with AI tools and platforms, such as: OpenAI (GPT-3/4, Assistants API), Anthropic, or similar LLM providers. Ability to integrate AI capabilities into applications, such AI copilots, smart chatbots, automated data processors, content generators. Understanding of prompt engineering, context handling, and AI output refinement. Work closely with product, design, and engineering teams to deliver high-quality mobile experiences. Ensure the performance, quality, and responsiveness of applications. Write clean, scalable, and well-documented code. Participate in code reviews and provide constructive feedback to peers. Debug and fix issues, perform unit and integration testing. Qualifications A Bachelor’s Degree in Computer Science, Engineering or a related field 5+ years of hands-on experience in backend development with Java and Spring Boot. Strong understanding of microservices architecture and RESTful API design. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Couchbase). Familiarity with message brokers (e.g., Kafka, RabbitMQ) for asynchronous communication. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Solid knowledge of software development best practices, including clean code, testing, and design patterns. Familiar with version control systems such as Git. Understanding of security best practices (e.g., OAuth2, JWT, HTTPS, CSRF protection). 2+ years of experience on architecting fault tolerant, high scale distributed systems Ability to integrate AI capabilities into applications, such AI copilots, smart chatbots, automated data processors, content generators. Commanding knowledge of data structures, algorithms, and object oriented design Familiar with version control systems like Git. Experience with Azure, Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions Experience with mission critical, 24x7 systems Experience with high throughput cloud native distributed systems Strong problem-solving skills and ability to work independently. Show more Show less

Your Team Responsibilities We’re looking for a Senior AI Engineer to join our AI team, where you’ll design and develop highly scalable, robust systems that drive our AI initiatives and data operations. Success in this role depends on strong software engineering skills, familiarity with large-scale distributed systems, and expertise in AI technologies. Our ideal candidate has a proven ability to build reliable platforms (rather than standalone applications) and to iterate effectively over multiple release cycles. While AI experience isn a required, you should also be enthusiastic about software engineering, and building scalable platforms and cloud services. A significant aspect of the job involves collaborating with cross-functional teams to translate complex requirements into scalable, efficient code, with responsibilities including the implementation and maintenance of software infrastructure for our AI platform. You’ll regularly work alongside AI specialists, domain leads, and other engineering teams. Throughout your work, you’ll apply best practices in software engineering and system architecture. If you’re passionate about delivering high-impact AI solutions in a dynamic environment, this is an exciting opportunity to have a substantial influence on our AI capabilities through your expertise. Your Key Responsibilities Design and implement scalable distributed systems Architect solutions that can handle large volumes of data for real-time and batch processing Design and develop efficient AI pipelines with automation and reliability across the platform Integrate agentic workflows and AI agents into data extraction processes, and enable systems to perform multi-step reasoning and tool usage to improve accuracy and efficiency of data extraction. Deploy, monitor, and maintain the LLM-based extraction systems in production, ensuring reliability and scalability. Set up appropriate monitoring, logging, and evaluation metrics to track performance, and perform continual tuning and improvements based on human in the loop feedback. Conduct applied research and experimentation with the latest generative AI models and techniques to enhance extraction capabilities. Prototype new approaches and iterate quickly to integrate successful methods into the production pipeline. Collaborate with cross-functional teams (data engineers, product managers, domain experts) to gather requirements, align AI solutions with business needs. Your Skills And Experience That Will Help You Excel 4-5 years of experience in applied AI or machine learning engineering, with a track record of building and deploying AI solutions (especially in NLP). Hands-on experience with using Generative AI models and APIs/frameworks (e.g., OpenAI GPT-4, Google Gemini). Ability to build Agentic AI systems where LLMs interact with tools or perform multi-step workflows. Proficiency in Python (preferred) and experience deploying machine learning models or pipelines at scale. Good understanding of embeddings, LLM models and experience with retrieval-augmented generation (RAG) workflows to incorporate external knowledge into LLM-based systems. Knowledge of LLMOps and cloud services (Azure, GCP, or similar) for deploying and managing AI solutions. Experience with containerization, orchestration, and monitoring of ML models in a production cloud environment. Excellent collaboration and communication skills, with the ability to work effectively in a team, translate complex technical concepts to non-technical stakeholders, and document work clearly. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

About Lokal: Access & Empowerment for Bharat through AI and Local Language Internet Lokal is India's largest regional content and services platform, built for the 500 million+ internet users from tier 2+ towns. Founded by IIT alumni, Lokal started in 2018 to address the lack of relevant local content and now goes beyond content to solve real, everyday problems of Bharat. Growing as a house of apps, Lokal is evolving into an AI-driven discovery and access platform—connecting users in tier 2+ India with the experts, tools, and knowledge they've historically lacked access to: Lokal Matrimony - Location-based matchmaking apps focused on hyperlocal compatibility. Lokal Jobs - Hyperlocal job discovery platform connecting blue- and grey-collar workers with nearby opportunities. GyanTV - Skill-based learning in regional languages (stocks, photography, small business & more). Dostt - Make new friends through voice chats, games, and real, authentic conversations. Eaze - A safe space to explore emotional well-being via community-driven support. AstroLokal - Instant access to trusted astrologers through audio and chat And more - 10+ new apps in testing & exploration across agricultural advisory, legal advisory, financial guidance, and AI-powered personal assistants. Role Overview: About the Role: We're looking for an AI Product Manager Intern to work closely with cross-functional teams on AI-driven exploratory projects aimed at automating and optimizing internal workflows. The intern will support initiatives such as screening process automation, content research automation, and sales call analysis/audit. This is a high-impact internship ideal for someone who is passionate about AI, automation, and building scalable solutions from 0-1. Key Responsibilities: Collaborate with stakeholders to define project goals and scope for AI automation use cases Design and manage prototypes and MVPs for: Screening process automation content research automation Sales call analysis and audit systems Conduct user and market research to validate problem statements and solution directions Work with engineering/data teams to integrate and test AI tools or APIs Track performance and impact of AI-led initiatives and suggest improvements Document workflows, learnings, and best practices throughout the internship. Requirements 2-3 months of internship or project experience in AI automation or related areas Strong understanding of AI/ML fundamentals, tools, and APIs (e.g., OpenAI, Langchain, HuggingFace, etc.) Prior experience in product thinking or working on exploratory/0-1 projects Ability to translate business problems into automation use cases Excellent communication and analytical skills Prior exposure to sales ops or content automation is a plus Self-starter attitude with curiosity to experiment and build Show more Show less

Job Title: AI Engineer – Azure AI Key Responsibilities: We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft’s AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment and related technologies. Show more Show less

We're looking for an experienced and curious Senior GenAI Engineer to join our growing Generative AI Center of Excellence (CoE). You'll be the most senior hands-on engineer on the team, playing a critical role in shaping how we build, integrate, and scale GenAI capabilities across our tools and workflows. This is a high-impact, high-autonomy role for someone who has already delivered GenAI-powered systems in production, is comfortable exploring the LLM ecosystem, and enjoys mentoring a team of smart, energetic engineers who are early in their GenAI journey. Role Design, build, and productionize GenAI-powered tools and features using APIs like OpenAI, Claude, etc. Help shape our architecture, prompt engineering strategies, and evaluation frameworks Guide the team on when to use RAG vs. fine-tuning vs. function calling, etc. Prototype quickly, validate ideas, and help turn the best ones into durable solutions Use TDD (Test Driven Development) to ship code that is maintainable and which stay bug free Work closely with product, engineering, and data stakeholders to ship real value Mentor junior engineers, review code, and lead by example — technical guidance, not bureaucracy Stay on top of GenAI trends, tools, benchmarks, and bring clarity on what’s real vs. hype Responsibilities Have 6–8+ years of engineering experience, ideally across multiple companies or industries Have shipped GenAI-powered features into production (not just toy projects) Have strong programming and problem-solving skills Are fluent in Python and comfortable integrating APIs, building backends, or working with embeddings Have strong product thinking — you care about solving user problems, not just building cool tech Can communicate clearly across disciplines — from junior devs to product managers Are comfortable working in ambiguous, fast-moving environments You've used dev tools like Cursor, Replit, or other AI coding assistants Have a learning mindset and are excited to work with folks earlier in their GenAI journey Good to have Experience with LangChain, LlamaIndex, RAG pipelines, or similar Familiar with prompt engineering, model evaluation, or LLM observability Have experimented with function calling, agents, or tool use Have experience with internal tool development, scripting, or automation Active side projects, blog posts, or OSS contributions in GenAI About Us We’re OakNorth Bank and we embolden entrepreneurs to realise their ambitions, understand their markets, and apply data intelligence to everyday decisions to scale successfully at pace. Banking should be barrier-free. It’s a belief at our very core, inspired by our entrepreneurial spirit, driven by the unmet financial needs of millions, and delivered by our data-driven tools. And for those who love helping businesses thrive? Our savings accounts help diversify the high street and create new jobs, all while earning savers some of the highest interest on the market. But we go beyond finance, to empower our people, encourage professional growth and create an environment where everyone can thrive. We strive to create an inclusive and diverse workplace where people can be themselves and succeed. Our story OakNorth Bank was built on the foundations of frustrations with old-school banking. In 2005, when our founders tried to get capital for their data analytics company, the computer said ‘no’. Unfortunately, all major banks in the UK were using the same computer – and it was broken. Why was it so difficult for a profitable business with impressive cashflow, retained clients, and clear commercial success to get a loan? The industry was backward-looking and too focused on historic financials, rather than future potential. So, what if there was a bank, founded by entrepreneurs, for entrepreneurs? One that offered a dramatically better borrowing experience for businesses? No more what ifs, OakNorth Bank exists. For more information regarding our Privacy Policy and practices, please visit: https://oaknorth.co.uk/legal/privacy-notice/employees-and-visitors/ Show more Show less

AI Engineer – GenAI / Gaming Platform Urgently Required Location: Bangalore (On-site only) Experience Required: 2–3 Years (AI Product Development Experience Mandatory) Employment Type: Full-time Company: (Gaming Tech Product Company) About Company Company is re-imagining the future of game creation. With over 500,000+ Gen Z users already on our platform, we are building Studio AI — an AI-native game development engine that will make creating games 10x faster and radically more accessible . We are a fast-growing gaming-tech startup backed by a highly skilled team. Our mission is to solve the art-to-game bottleneck and empower creators to focus on creativity—not code. About the Role: AI Engineer As an AI Engineer , you will work at the intersection of cutting-edge AI and game development pipelines . This isn’t just about building another feature—it’s about architecting the future of AI-powered game creation . You will be responsible for developing AI-native interactions, building real agents, and deploying GenAI features that will be used by thousands of creators. Key Responsibilities Design and implement AI-native tools that interface with Unity and game development pipelines. Develop and deploy GenAI-powered features from prototype to production. Build autonomous agents with memory, tool use, retry logic, and feedback mechanisms. Experiment with state-of-the-art AI models (RAG, LLMs, VLMs, Agentic frameworks) to solve real game dev problems. Own the end-to-end lifecycle of features: from research → experiment → deployment → feedback loop. Collaborate with engine team to integrate AI features into the core product. Continuously evaluate, refine, and optimize AI systems with real-world data. Move at research speed in production : Test and apply the latest models before the rest of the world catches up. Eligibility & Required Skills Must-Have: 2–3 years of full-time experience in AI-focused product development . Proven work in building and deploying AI-native systems or features (not just fine-tuning models). Proficiency in Python and working with LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of GenAI concepts: RAG, Vision LLMs, LangGraph, CrewAI, MCPs , etc. Hands-on experience in designing systems using state machines and event flows. Experience with backend development (REST APIs, HTTP), preferably using Node.js . Strong communication skills, ability to present technical ideas clearly. Good to Have: Experience with Unity , FastAPI/Flask, Docker, AWS/GCP. Familiarity with prompt engineering , vector databases, and building agents. Passion for gaming or prior work in the gaming industry. Interview Process Aptitude Test (30 mins) – Score ≥ 115 mandatory (NIT/IIT/BITS/IIIT preferred) Technical Round 1 (90 mins) Python Basics (30 mins) – Screening AI Deep Dive (60 mins) Technical Round 2 (45 mins) Final Round (30 mins) – With Leadership Perks & Benefits Work on high-impact AI products used by real creators High ownership and direct collaboration with leadership Competitive salary Fully stocked pantry, daily lunch, team events, and more! Who Should Apply · You are a builder who thrives in ambiguity and enjoys solving complex problems. · You’ve worked on systems end-to-end, from zero to one—not just features, but foundations. · You’re not just looking for a job. You want velocity, impact, innovation, and depth . · You live and breathe AI—this is your passion, not just your profession. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,300,000.00 per month Schedule: Day shift Education: Bachelor's (Required) Experience: Python: 2 years (Required) LLM APIs: 1 year (Required) Node.js: 2 years (Required) aws: 2 years (Required) Location: Bangalore, Karnataka (Required) Work Location: In person

We are seeking a seasoned Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning models and AI solutions. This role involves collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products. This senior, cross-functional role is responsible for setting our strategic direction on GenAI, Intelligent automation, and data-powered operations. You will guide the implementation of AI solutions across the business, delivering meaningful process improvements, with a keen eye on AI governance. What You Will Do Lead the design, development, and deployment of AI-powered business workflows using the latest LLMs, agents, and intelligent automation tools. Guide AI governance, ethical use, and standardisation across all AI-enabled solutions. Support business units by training staff and promoting the effective use of AI tools in daily operations. Stay current on the latest AI developments (releases, tooling, methodologies) and recommend relevant applications that could improve all areas of the business. Supervise, mentor, and support a small but growing AI engineering team, fostering a culture of collaboration, innovation, and driving improvements across the business. Engage in hands-on development as required, building prototypes and working solutions for internal stakeholders. Work alongside our Power Platform team to enhance advanced model-driven app solutions and Business Reporting using AI capabilities. Contribute to long-term planning, vendor evaluations, and strategy for scalable and secure AI adoption. Match the business needs with industry standards on governance like ISO 27001 to allow the business to remain compliant. Collaborate with global colleagues across time zones; some flexibility will be required. What We Are Looking For Deep understanding of generative AI, LLMs, and agent frameworks. Track record in designing, building, and deploying AI-enabled workflows and solutions. Hands-on experience developing workflows and using Microsoft’s Power Platform. Experience implementing AI solutions with ISO 27001 is desirable (not audit level). Experience designing and implementing AI solutions with CRM Systems is desirable. Demonstrated ability to lead, inspire, and mentor technical teams. Experience Very strong organisational skills. 10+ years in a technical role, including 5+ years building AI/ML powered workflows and automation solutions. Leadership or team lead experience, particularly within AI Innovation. Hands-on experience with Azure AI, Open AI Apis, Copilot MLOps, and Cloud-native data engineering. Experience working across departments and coaching non-technical stakeholders. Experience with Azure OpenAI studio or similar enterprise AI environments. Exposure to model-driven apps and Dataverse integration. Working knowledge of Microsoft Power Platform suites. Experience contributing to AI/ML strategy at an organisational level. Awareness of AI safety, compliance, and ethical frameworks. PowerShell scripting, SQL Query creations, Power platform workflow creation. User rollout of cloud-based IT solutions. Knowledge And Skills Keen attention to detail. A confident and charismatic person, able to engage with any level of user within the business. A good level of numeracy. The ability to lead AI automation projects and work within project scopes. Ability to juggle different tasks effectively. Ability to lead a team and provide mentorship. The ability to understand how users learn and adapt to technology. Flexibility with working hours due to the nature of the role. Strong written and verbal communication skills are a must. Skills: powershell scripting,innovation,cloud-native data engineering,ai architect,mlops,generative ai,sql query,llms,agent frameworks,ai governance,microsoft power platform,data,azure ai,artificial intelligence,open ai apis Show more Show less

Role Description Work Location: Any UST Office Location Key Responsibilities Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases. Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. Leverage Azure and GCP services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control. Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. Implement responsible AI practices, incorporating guardrails and moderation mechanisms. Collaborate with cross-functional teams to translate AI insights into impactful solutions. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. Expertise in AWS services, particularly AWS Bedrock and Lambda functions. Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs. Deep understanding of LangChain components and advanced NLP techniques. Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub. Familiarity with best practices in system design, including security, performance optimization, and scalability. Proven ability to write high-quality production code and work in collaborative environments. What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the centre of everything we do. Humility We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honour our commitments and act with responsibility in all our relationships. UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. Skills RAG systems,Chatbot development,AI/ML Frameworks,GenAI technologies Show more Show less

Role Description Work Location: Any UST Location We are seeking a QA Engineer to ensure the quality and reliability of a cutting-edge, NLP-driven Self-Serve Reporting Platform developed. This platform utilizes Natural Language Processing (powered by the Azure OpenAI GPT-4o model), Google BigQuery, and GCP for real-time analytics, enabling stakeholders to generate reports and insights from conversational prompts. The QA Engineer will play a critical role in designing and executing test plans, validating data integrity, and ensuring that the natural-language features yield accurate, secure, and compliant outcomes. In this role, you will create and manage detailed test cases, perform functional and integration testing, and collaborate with cross-functional teams to resolve defects quickly. You will also be responsible for validating the system’s ability to handle large datasets (up to 1TB), ensuring that generated visualizations and analytics meet user requirements. By conducting load and stress testing, you will help the project team confirm that the platform can handle multiple simultaneous queries without performance degradation. Additionally, you will help maintain compliance with key security and privacy standards, including HIPAA and PHI/PII regulations. We are looking for candidates with a bachelor’s degree (or equivalent experience) in Computer Science, Information Technology, or a related field, and at least three years of QA experience in data-intensive or AI-centric projects. Proficiency in SQL is crucial to verifying data outputs, along with familiarity in working with GCP/BigQuery and modern test management tools such as Jira. Hands-on experience with security best practices, excellent analytical skills, and strong communication abilities are also essential. What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the centre of everything we do. Humility We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honour our commitments and act with responsibility in all our relationships. UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. Skills Natural Language Processing,Gcp,Azure OpenAI GPT-4o model Show more Show less

Job Summary JOB DESCRIPTION As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications. In This Role, Your Responsibilities Will Be: Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements Conduct rigorous tests on AI-based applications, including generative models, AI Assistant/AI agent platforms, and machine learning algorithms, to assess their effectiveness, accuracy, and usability Identify, document, and report defects, bugs, and AI behavior anomalies. Test for AI's response consistency, context understanding, and the ability to generate relevant outputs; collaborating with the development team to resolve issues Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing Work with data engineers, data scientists, and development teams to prepare test data for training, validation, and testing of AI models Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications; ensuring no regression issues or performance drops after model retraining or new version releases Assist in training and fine-tuning AI models based on real-world user feedback and test results. Provide validation to ensure ethical AI standards are met Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues Who You Are: Multi-functional teammate Detailed, organized, flexible, and proactive teammate Willing to accept feedback and implement changes quickly and with a positive attitude Comfortable working in an Agile development environment In This Role, You Will Need: Bachelor’s degree and 2+ years of relevant experience or a master’s degree and 1+ year of meaningful experience Strong knowledge of AI technologies, machine learning frameworks, and NLP, RAG, OCR Outstanding English writing and verbal communication skills Ability to develop product understanding by working closely with product developers in an Agile development environment Ability to design and organize document structure Curiosity about hands-on installation, configuration and use of the software to further develop product understanding Understanding of accepted technical writing style conventions Experience in writing technical documents Ability to work collaboratively as part of a team Self-motivated and able to work independently Ability to simultaneously handle multiple projects and monitor their progress with minimal direction Excellent time management skills and ability to meet deadlines Strong research skills. Preferred Qualifications that Set You Apart: Bachelor's Degree in Computer Science, Engineering, or a related field. 3+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, generative AI models or software development Knowledge of ethical AI principles and bias detection in AI models Proficiency with automated testing tools e.g., Selenium; AI tools and platforms (such as TensorFlow, PyTorch, OpenAI, GPT, Copilot etc.) Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. 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Company Description MICH JOSH CYBERSECURITY is your trusted partner in safeguarding businesses from cyber threats. We specialize in penetration testing services to secure digital assets, covering networks, mobile apps, APIs, and machine learning systems. Our comprehensive services include network penetration testing, web application security testing, mobile app security testing, API penetration testing, AI/ML system security, and thick client security testing. We also offer expert cybersecurity training to empower professionals with the skills to combat modern cyber challenges. Role Description Research and identify emerging threats in AI/ML systems Conduct red teaming, adversarial testing, and model abuse simulations Develop tools and frameworks to assess AI model robustness Publish whitepapers, internal security guidelines, and blog content Collaborate with AI developers, security engineers, and product teams What We’re Looking For: 2+ years of experience in Web Application or API Security Strong understanding of OWASP Top 10, Burp Suite, and app-layer attacks Curious mindset towards LLM behavior, prompt crafting, and edge cases Ability to think like an attacker and write like a researcher Bonus: Familiarity with OpenAI, LangChain, or vector DBs Bachelor's degree in Computer Science, Cybersecurity, or related field Why Join Us? 🌐 100% remote 💡 Work on cutting-edge AI security problems 📚 Continuous learning & research-friendly culture 🛡️ Be part of a team building the foundations of secure AI systems If you're ready to take the leap into AI security and make real impact—apply now or DM us directly. Email: support@michjosh.com. web: www.michjosh.com Show more Show less

Principal Engineer – AI/LLM | Climate Fintech Startup | Remote | Full-Time | US Hours Role- A fast-growing U.S.-based climate-fintech startup is seeking a Principal Engineer to lead core platform architecture, blending fintech, data, and clean-tech innovation. Company Overview- We are a venture-backed startup combining sustainable finance and AI to accelerate investment in climate solutions. Our platform uses AI-powered tools to drive faster, smarter capital deployment for world-positive impact. We move fast, stay close to customers, and iterate quickly with a small, experienced team. About the Role- We’re looking for a Principal Engineer with 8+ years of experience in full-stack and AI/ML engineering to architect and lead our platform development. You’ll write hands-on code, mentor engineers, and shape our technical vision to ensure scalable, reliable solutions. Core Responsibilities- Architect, design, and lead implementation of a scalable, secure platform Develop maintainable full-stack code with focus on AI/ML pipelines and RAG Provide technical leadership and mentor the engineering team Collaborate with product and business teams to align technical solutions with needs Improve engineering processes, including code reviews and testing Required Skills and Experience 8+ years full-stack web development; 3+ years focused on AI/ML engineering Proven ability to architect complex systems and deliver quality code Experience integrating AI/ML APIs (OpenAI, Anthropic, LlamaIndex, etc.) Deep knowledge of LLM APIs, prompt engineering, and workflows Skilled with React, Next.js, Node.js, Supabase, Vercel, Python Strong system design and architecture skills Excellent communication and mentoring abilities Preferred Qualifications Familiar with financial data and documents Experience with RAG and vector databases Knowledge of agentic AI platforms Cloud deployment experience for AI/ML applications Understanding of security best practices for finance apps Show more Show less

Job Title: AI Operations Executive Location: This position is permanently remote, allowing you to work from anywhere. Employment Type: Full-time About ScaleX Media: We’re a performance marketing agency for coaches, creators, and trainers, helping our clients scale exponentially and profitably. We work with top trainers and coaches in the industry and manage ad spends of more than ₹25 crores/month. We are growing at 2X! We are currently a team of fun-loving 160+ members consisting of Performance Marketers, Graphic Designers, Video Editors, Copywriters, and other leadership positions from all over the country. We’re all working towards one goal - ‘Disrupting education by helping meaningful coaches reach more people’. Why are we hiring for this position? To drive operational efficiency by building AI tools that automate key workflows, including updating task statuses via Slack, generating client proposals from briefs, screening resumes with interview suggestions, and summarizing Zoom transcripts into actionable notes through smart, AI-powered solutions. What does the ideal candidate look like? A degree in Computer Science or a related field with strong coding skills and hands-on experience working with APIs. Proficiency in Python and familiarity with AI frameworks like OpenAI/GPT APIs, LangChain or similar technologies. Experience integrating third-party tools and services such as Slack, Notion, Google Sheets, Zapier and others. Ability to rapidly prototype using no-code or low-code platforms like Replit, Retool or Bubble. Strong analytical mindset with a passion for solving practical business challenges using technology. Excellent communication skills and a habit of maintaining clear, structured documentation. Experience is not mandatory – freshers with strong fundamentals, curiosity, and hunger to learn are highly encouraged to apply. Bonus points if you have: Prior experience building internal tools to support marketing, operations or business workflows. Background working in startups or cross-functional teams with the ability to thrive in fast-paced, collaborative environments. Familiarity with vector databases (e.g., Pinecone) and retrieval-augmented generation (RAG) pipelines. Roles and Responsibilities: Collaborate with founders and cross-functional leads in Marketing, Ops, HR and Sales to identify operational inefficiencies and automation opportunities. Design and develop AI-driven tools and systems for both internal teams and clients to streamline processes, enhance marketing workflows and support smarter decision-making. Build and deploy GPT-powered agents such as proposal generators, ad audit bots, HR assistants (JD generators and resume screeners) and summarizers for Slack, email and Notion content. Continuously ideate and prototype new automation solutions using a mix of coding and no-code platforms. Integrate AI tools into the existing tech stack, including Slack, Notion, Google Suite and Typeform to create seamless workflows. Maintain clear documentation and track the impact and ROI of each implementation. Explore, test and deploy emerging AI tools, scaling solutions that demonstrate value and effectiveness. Example Projects Notion agent that updates tasks via Slack commands. Auto-generate client proposals from briefs in minutes. AI assistant for resume screening and interview preparation. Zoom transcript summarizer for client-ready notes. What’s necessary? Laptop Stable internet connection and power backup Availability to work in alignment with Indian Standard Time (IST) A desire to learn the best practices and the latest trends What do you get? Collaborate with a high-performing remote team tackling real, high-impact business challenges Build AI tools that are actively used by both internal teams and clients Contribute to shaping India’s first AI-native growth company Enjoy a remote-first culture with flexible hours and performance-driven incentives Show more Show less

Are you passionate about AI, software development, and cutting-edge technology? Looking to supercharge your skills and gain real-world experience? We have an exciting opportunity for a motivated intern to join our team! What Makes This Internship Unique Full Ownership: You’ll be the sole owner of your tasks—design, architect, and deploy end-to-end solutions. This is a never-before-seen chance for interns to take full responsibility and see your ideas come to life! Hands-on AI experience: Work with LLMs, OpenAI models, and Groq models. Prompt Engineering: Dive deep into the world of prompt design and AI interaction. Website Development & SEO: Build and optimize live websites. AI Agents: Help build and deploy autonomous AI agents for real-world use cases. Rapid Prototyping: Learn how to turn ideas into deployable tech—fast. Tech Stack Exposure: Gain hands-on experience with Python, React.js, FastAPI, SQL, Azure, AWS, OpenAI, LangChain, LlamaIndex, and more! Who We're Looking For Enthusiastic, self-driven learners Curiosity about AI and prompt engineering Someone who consistently delivers on time Willingness to work in a fast-paced, collaborative environment Strong problem-solving and analytical skills Knowledge of Object-Oriented Programming (OOP) What You Won’t Be Doing No basic intern tasks like code maintenance, documentation grunt work, or routine admin chores No fetching coffee or running errands No sitting on the sidelines—this is a hands-on, ownership-driven role! Qualifications Computer Science and Software Development skills Back-End Web Development and Programming abilities Knowledge of Object-Oriented Programming (OOP) Strong problem-solving and analytical skills Ability to work collaboratively in a team environment Pursuing a degree in Computer Science, Software Engineering, or a related field Perks Mentorship from industry experts Exposure to the latest tools & trends in AI A real chance to build portfolio-worthy projects This is an unpaid internship, but the learning and networking opportunities are immense! Outstanding performers may also be considered for a performance-based incentive. Interested? Send us a DM or comment below to learn more. Tag someone who might be interested! #internship #intern #ai #webdevelopment #SEO #promptengineering #LLMs #OpenAI #Groq #AIagents #hiring #Python #ReactJS #FastAPI #Azure #AWS #LangChain #LlamaIndex #coding Show more Show less

Job Description Position: Junior AI Engineer Type: Full-time Worksite: Work from the Office Work Location: NIBM Pune (Kondhwa) Experience Level: 3 to 5 Years Team: AI Engineering & Product Delivery Technology: Full-Stack AI Systems (LLMs & Product Integration) Role Overview We are hiring a Junior AI Engineer to support the development of intelligent microservices and LLM-powered experiences. This is a hands-on development role focused on implementing backend services, integrating prompt workflows, and building APIs to deliver real-time insights. You’ll work closely with both the senior AI architect and the product team to bring AI capabilities to life. Core Responsibilities Implement and maintain AI-driven APIs and microservices using Python (FastAPI) and async workflows. Integrate LLM models for tasks such as dynamic content generation, candidate evaluations, and smart recommendations. Build embedding pipelines for search, matching, and personalization features using tools like FAISS or LangChain. Collaborate with the product team to iterate on features and refine user-facing AI experiences. Assist in prompt creation, validation, and performance tuning using available LLMOps toolchains. Handle data modeling, schema updates, and metadata tracking in PostgreSQL and MongoDB. Support CI/CD, logging, and deployment processes in a cloud-native infrastructure setup. Required Skills 3–6 years of experience in backend or full-stack engineering, with at least 1 year of applied experience in AI or LLM-integrated systems. Strong experience in Python, especially with FastAPI or Flask, and asynchronous programming. Familiarity with OpenAI APIs, LangChain, or similar libraries for prompt-based workflows. Experience working with REST APIs, JSON schemas, and cloud databases (PostgreSQL, MongoDB). Exposure to containerized development, CI/CD practices, and logging/monitoring tools. Willingness to collaborate closely with product and design teams, taking ownership of full implementation cycles. Tech Stack Languages & Frameworks: Python (FastAPI, Pydantic), JavaScript/React (basic familiarity preferred) AI & LLM Tools: OpenAI API, LangChain, LlamaIndex, FAISS (or Azure Cognitive Search) Data & Storage: PostgreSQL, MongoDB, Redis Infra & Deployment: Docker, GitHub Actions, Azure Container Apps (preferred) Event & Async: Kafka or Event Hubs, Celery, AsyncIO tasks Security & DevOps: JWT, OAuth2, Key Vault (preferred), logging (Sentry), monitoring (Grafana, Prometheus) Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less