4010 Openai Jobs - Page 16

About the Role: Grade Level (for internal use): 08 The Team: The S&P Global Market Intelligence Content Customer Service Team (CCST) is committed to delivering exceptional and timely customer support across various teams, resulting in improved NPS scores. This proactive team addresses customer concerns related to data collection and curation methods, aligning with Accuracy, Timeliness, and Comprehensiveness goals. Within the Market Data domain, the team offers client support for Equity Pricing, Index, Commodities & Macroeconomics datasets. The Impact: Your role entails addressing client inquiries within Market Data datasets, comprehending their needs, and delivering optimal solutions. You will be working closely and collaborating with Level-I client support, data operations, data management, and product management to provide superior customer experience. If you possess innovative ideas and a strong inclination towards achieving top-notch customer satisfaction, we invite you to join us. Aligned with our data strategy, we are bringing our core customer query processes, traditionally sitting under individual datasets, under one roof! What’s in it for you: This position provides an opportunity to work with client support to directly influence the client experience. We seek a highly competitive and dynamic candidate who can perform under pressure and work creatively and collaboratively to achieve individual and team-specific benchmarks. If you admire a challenging environment & assignments and are determined to deliver business goals, then this role is for you. You’ll also have a chance to work on advanced analytics projects and cutting-edge Generative AI tools that are shaping the future of client engagement, operational intelligence, and support automation. Responsibilities: Decipher client questions and perform research to provide effective, well-documented solutions. Provide professional, timely, and quality support to customer queries. Deliver on expected productivity and timeliness targets. Provide quality (accurate and defect-free) responses with a "do it right the first time" mindset. Identify and flag areas that can impact business-as-usual operations. Contribute towards process improvement through root cause analysis. Help reduce client queries by drafting KB articles and identifying patterns. Take full ownership of client questions and liaise across teams for resolution. Independently manage client question workflows. Identify opportunities to enhance the client experience through data-backed insights. Recommend improvements to procedures and audits. Contribute to team training and mentorship efforts. Assist in ongoing projects and UATs with a focus on timeliness, accuracy, and execution excellence. Champion the voice of the customer and share insights and trends. Collaborate cross-functionally with product, sales, tech, and support teams. Leverage data and automation tools to drive proactive client service and process optimization. Apply Generative AI tools (e.g., ChatGPT, Azure OpenAI, Bard) to streamline responses, generate insights, or prototype support solutions. What we are looking for: Hands-on experience with Market Data datasets. Strong communication skills—both written and verbal. A client-first mindset with problem-solving ability. Familiarity with Capital IQ and/or Capital IQ Pro is a strong plus. Critical thinking, structured reasoning, and solution orientation. Strong sense of ownership and accountability. Ability to work independently and in collaboration with various teams. Attention to detail and high quality standards. Adaptability to changing priorities and tech environments. Ability to communicate technical insights in a clear, business-friendly way. Strong technical acumen and passion for using technology to solve client problems. A curiosity for innovation and eagerness to explore applications of GenAI in support workflows. Basic Qualifications: Graduate or postgraduate in Finance or an MBA. Advanced proficiency in MS Excel. Strong hands-on experience in technical skills — e.g., Power BI, SQL, Tableau, Python. Prior exposure to Generative AI technologies such as ChatGPT, Claude, Bard, or GitHub Copilot, and the ability to apply them in real-world problem solving (e.g., generating KB articles, automating responses, summarizing trends). Comfort working in a data-driven environment with ability to learn new tools quickly. What’s 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're more than 35,000 strong worldwide—so we're 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’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re 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's 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’s 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’s 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 reportfraud@spglobal.com . 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: EEO.Compliance@spglobal.com 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), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316235 Posted On: 2025-07-30 Location: Ahmedabad, Gujarat, India

Job Description: About the role You'll play a key part in innovative new AI projects for Qualifacts. As a Full Stack Software Engineer on the AI Team, you will work within an agile team to develop new products that will have the opportunity to be distributed to more than 125,000 behavioral health clinicians and millions of patients. We will be building AI products from the ground up to complement Qualifacts’ four platforms. About the stack We are looking for a front-end focused full stack developer with experience with ES6 and React/Angular/or similar. As we will be building a fresh product, you will have a say in how we approach our stack. Responsibilities Participate in the design and development of technical solutions to complement complex web-based EHR systems. Write fast, efficient, and high-quality code that will help us deliver great value to our customers Test your work thoroughly and have a low tolerance for bugs Bring new ideas, solutions, and feedback to the team, Assist/Help Architect scalable and high-performance solutions, ensuring the best practices in software design and coding standards are followed. Troubleshoot software applications, provide technical support to achieve development objectives. Collaborate with cross-functional teams to define technical requirements and ensure timely delivery of software solutions. Participate in Agile/Scrum methodologies, including sprint planning, backlog grooming, and retrospective meetings. Stay updated with emerging technologies, industry trends, and best practices, and contribute to the continuous improvement of the development process. General Qualifications Bachelor's degree or equivalent required (computer science, information systems, business administration or other industry-related curriculum) 5+ or more years as full stack developer along with experience in web applications, end-user applications and back-end services Customer focused, driven to help our customers Keen sense of priority and urgency Passionately committed to engineering best practices Self-learner and problem solver Accountability and Ownership Technical Skills Experience with ES6 Experience with one or more of the following React, Angular, or similar Strong computer science fundamentals Past experience in software development (professional or personal projects) Strong understanding of test driven development Great work ethic and motivation to learn and improve Experience with Django Experience with OpenAI and/or other LLMs Understanding of web networking including HTTP Qualifacts is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We’re looking for a passionate Junior Flutter Developer who is eager to build beautiful, high-performing mobile apps. The ideal candidate should have a solid understanding of the mobile ecosystem and a strong grasp of state management and app architecture. A curious mindset towards AI integration in everyday life and productivity tools is a big plus. Key Responsibilities: - Ensure smooth user experiences by understanding the mobile ecosystem and optimizing for performance and responsiveness. - Implement clean, scalable, and maintainable code following good architecture patterns (e.g., MVVM, Clean Architecture). - Integrate and experiment with AI tools or APIs to enhance app functionality and productivity. - Use effective state management techniques (e.g., Provider, Riverpod, BLoC) to ensure app stability and scalability. - Debug and resolve technical issues, assist in testing, and contribute to continuous improvement. Requirements: - 6 months – 2 years of experience with Flutter/Dart. - Solid understanding of mobile UX/UI principles and performance optimization. - Exposure to state management solutions like Provider, Riverpod, or BLoC. - Familiarity with architectural patterns like MVC, MVVM, or Clean Architecture. - Interest or hands-on experience in integrating AI tools into mobile apps. - Good problem-solving skills and eagerness to learn and grow in a fast-paced environment. Bonus Points If You Have: - Experience with REST APIs, Firebase, or local data storage. - Side projects or portfolio demonstrating Flutter apps. - Knowledge of AI/ML APIs (OpenAI, Google ML Kit, etc.). Why Join Us? - Work on meaningful products that improve productivity and integrate smart technologies. - Friendly, collaborative environment with mentorship and growth opportunities. - Flexible work hours and a focus on learning by doing. Location : Nr Science City Road , Ahmedabad : 380060 Type : Full Time - On Site (we are n't giving remotely opportunity please don't apply if you're looking for remote ) Salary Rang : 10k-30k/Month Please DM or send email : hr@mobioxy.com

About The Role Grade Level (for internal use): 08 The Team The S&P Global Market Intelligence Content Customer Service Team (CCST) is committed to delivering exceptional and timely customer support across various teams, resulting in improved NPS scores. This proactive team addresses customer concerns related to data collection and curation methods, aligning with Accuracy, Timeliness, and Comprehensiveness goals. Within the Market Data domain, the team offers client support for Equity Pricing, Index, Commodities & Macroeconomics datasets. The Impact Your role entails addressing client inquiries within Market Data datasets, comprehending their needs, and delivering optimal solutions. You will be working closely and collaborating with Level-I client support, data operations, data management, and product management to provide superior customer experience. If you possess innovative ideas and a strong inclination towards achieving top-notch customer satisfaction, we invite you to join us. Aligned with our data strategy, we are bringing our core customer query processes, traditionally sitting under individual datasets, under one roof! What’s In It For You This position provides an opportunity to work with client support to directly influence the client experience. We seek a highly competitive and dynamic candidate who can perform under pressure and work creatively and collaboratively to achieve individual and team-specific benchmarks. If you admire a challenging environment & assignments and are determined to deliver business goals, then this role is for you. You’ll also have a chance to work on advanced analytics projects and cutting-edge Generative AI tools that are shaping the future of client engagement, operational intelligence, and support automation. Responsibilities Decipher client questions and perform research to provide effective, well-documented solutions. Provide professional, timely, and quality support to customer queries. Deliver on expected productivity and timeliness targets. Provide quality (accurate and defect-free) responses with a "do it right the first time" mindset. Identify and flag areas that can impact business-as-usual operations. Contribute towards process improvement through root cause analysis. Help reduce client queries by drafting KB articles and identifying patterns. Take full ownership of client questions and liaise across teams for resolution. Independently manage client question workflows. Identify opportunities to enhance the client experience through data-backed insights. Recommend improvements to procedures and audits. Contribute to team training and mentorship efforts. Assist in ongoing projects and UATs with a focus on timeliness, accuracy, and execution excellence. Champion the voice of the customer and share insights and trends. Collaborate cross-functionally with product, sales, tech, and support teams. Leverage data and automation tools to drive proactive client service and process optimization. Apply Generative AI tools (e.g., ChatGPT, Azure OpenAI, Bard) to streamline responses, generate insights, or prototype support solutions. What We Are Looking For Hands-on experience with Market Data datasets. Strong communication skills—both written and verbal. A client-first mindset with problem-solving ability. Familiarity with Capital IQ and/or Capital IQ Pro is a strong plus. Critical thinking, structured reasoning, and solution orientation. Strong sense of ownership and accountability. Ability to work independently and in collaboration with various teams. Attention to detail and high quality standards. Adaptability to changing priorities and tech environments. Ability to communicate technical insights in a clear, business-friendly way. Strong technical acumen and passion for using technology to solve client problems. A curiosity for innovation and eagerness to explore applications of GenAI in support workflows. Basic Qualifications Graduate or postgraduate in Finance or an MBA. Advanced proficiency in MS Excel. Strong hands-on experience in technical skills — e.g., Power BI, SQL, Tableau, Python. Prior exposure to Generative AI technologies such as ChatGPT, Claude, Bard, or GitHub Copilot, and the ability to apply them in real-world problem solving (e.g., generating KB articles, automating responses, summarizing trends). Comfort working in a data-driven environment with ability to learn new tools quickly. What’s 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're more than 35,000 strong worldwide—so we're 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’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re 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's 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’s 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’s 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 reportfraud@spglobal.com. 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: EEO.Compliance@spglobal.com 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), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316235 Posted On: 2025-07-30 Location: Ahmedabad, Gujarat, India

Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 4 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, Statistics, Mathematics, 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, NLP using python 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). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. 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. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), 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). 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.

Pfactorial Technologies is a fast-growing AI/ML/NLP company at the forefront of innovation in Generative AI, voice technology, and intelligent automation. We specialize in building next-gen solutions using LLMs, agent frameworks, and custom ML pipelines. Join our dynamic team to work on real-world challenges and shape the future of AI driven systems and smart automation.. We are looking for AI/ML Engineer – LLMs, Voice Agents & Workflow Automation (0–3Yrs Experience ) Experience with LLM integration pipelines (OpenAI, Vertex AI, Hugging Face models) Hands on experience in working with voice agents, TTS, STT, caching mechanisms, and ElevenLabs voice technology Strong understanding of vector databases like Qdrant or Milvus Hands-on experience with Langchain, LlamaIndex, or agent frameworks (e.g., AutoGen, CrewAI) Knowledge of FastAPI, Celery, and orchestration of ML/AI services Familiarity with cloud deployment on GCP, AWS, or Azure Ability to build and fine-tune matching, ranking, or retrieval-based models Developing agentic workflows for automation Implementing NLP pipelines for parsing, summarizing, and communication (e.g., email bots, script generators) Comfortable working with graph-based data representation and integrating with frontend Experience in multi-agent collaboration frameworks like Google Agent2Agent Practical experience in data scraping and enrichment for ML training datasets Understanding of compliance in AI applications 👉 For more updates, follow us on our LinkedIn page! https://in.linkedin.com/company/pfactorial

At NIIT Managed Training Services, we’re transforming the way the world learns, for the better. That’s why the world’s best-run learning functions across 30 countries trust us with their learning and talent. Since 1981, we have helped leading companies transform their learning ecosystems while increasing the business value of learning. Our comprehensive, high-impact managed learning solutions weave together the best of learning theory, technology, operations, and services to enable a thriving workforce. Link for our website: - https://www.niit.com/en/learning-outsourcing/services/ We are hiring for Python Developer - AI & Web Applications This is 1 year contract mode role which can be extend based on performance & project requirement. 5 days working from Office, Gurgaon-sector 34. General Shift About This Role We are seeking a skilled Python Developer to join our innovative team, focusing on AI applications, autonomous agent development, and web-based solutions. This role offers the opportunity to work with large language models, build interactive web applications using modern Python frameworks, and develop autonomous systems that can perform complex tasks. Key Responsibilities Development & Architecture • Design and develop web applications using FastAPI, Flask, and Gradio frameworks • Create interactive user interfaces combining Python backends with HTML/CSS frontends • Build responsive web applications with seamless integration between frontend and backend components • Deploy and manage applications using Azure cloud services for scalability and reliability • Develop and integrate autonomous agent systems for automated task execution and decision-making AI & Machine Learning • Work with large language models (LLMs) from various providers including OpenAI, Anthropic, and Hugging Face • Implement LLM-powered features including chat interfaces, content generation, and intelligent automation • Design and deploy autonomous agents capable of complex reasoning, planning, and multi-step task execution • Integrate multiple AI services and APIs to create comprehensive intelligent applications • Build agent orchestration systems for coordinated multi-agent workflows Data Engineering & Analytics • Work with large datasets, implementing robust data preprocessing, cleaning, and transformation pipelines • Collaborate with data scientists to integrate NLP-driven solutions into production applications • Optimize application performance, responsiveness, and scalability for enterprise-level deployments • Ensure data security, privacy, and compliance throughout the development lifecycle Collaboration & Best Practices • Partner with cross-functional teams to understand business requirements and translate them into technical solutions • Conduct comprehensive code reviews and maintain high standards for code quality and documentation • Stay current with latest advancements in AI, autonomous systems, NLP, and cloud technologies • Mentor junior developers and contribute to technical decision-making processes Required Qualifications & Experience • Bachelor's degree in Computer Science, Software Engineering, Web Development, or related field • 3+ years of proven experience as a Python Developer with expertise in web frameworks • Demonstrated experience building web applications with FastAPI, Flask, and Gradio NIIT is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

Solution Architect (India) Work Mode: Remote/ Hybrid Required exp: 10+ years Shift timing: Minimum 4 hours overlap required with US time Role Summary: The Solution Architect is responsible for designing robust, scalable, and high- performance AI and data-driven systems that align with enterprise goals. This role serves as a critical technical leader—bridging AI/ML, data engineering, ETL, cloud architecture, and application development. The ideal candidate will have deep experience across traditional and generative AI, including Retrieval- Augmented Generation (RAG) and agentic AI systems, along with strong fundamentals in data science, modern cloud platforms, and full-stack integration. Key Responsibilities:  Design and own the end-to-end architecture of intelligent systems including data ingestion (ETL/ELT), transformation, storage, modeling, inferencing, and reporting.  Architect GenAI-powered applications using LLMs, vector databases, and RAG pipelines; Agentic Workflow, integrate with enterprise knowledge graphs and document repositories.  Lead the design and deployment of agentic AI systems that can plan, reason, and interact autonomously within business workflows.  Collaborate with cross-functional teams including data scientists, data engineers, MLOps, and frontend/backend developers to deliver scalable and maintainable solutions.  Define patterns and best practices for traditional ML and GenAI projects, covering model governance, explainability, reusability, and lifecycle management.  Ensure seamless integration of ML/AI systems via RESTful APIs with frontend interfaces (e.g., dashboards, portals) and backend systems (e.g., CRMs, ERPs).  Architect multi-cloud or hybrid cloud AI solutions, leveraging services from AWS, Azure, or GCP for scalable compute, storage, orchestration, and deployment.  Provide technical oversight for data pipelines (batch and real-time), data lakes, and ETL frameworks ensuring secure and governed data movement.  Conduct architecture reviews, mentor engineering teams, and drive design standards for AI/ML, data engineering, and software integration. Qualifications :  Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.  10+ years of experience in software architecture, including at least 4 years in AI/ML-focused roles. Required Skills:  Expertise in machine learning (regression, classification, clustering), deep learning (CNNs, RNNs, transformers), and NLP.  Experience with Generative AI frameworks and services (e.g., OpenAI, LangChain, Azure OpenAI, Amazon Bedrock).  Strong hands-on Python skills, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.  Proficiency in RESTful API development and integration with frontend components (React, Angular, or similar is a plus).  Deep experience in ETL/ELT processes using tools like Apache Airflow, Azure Data Factory, or AWS Glue.  Strong knowledge of cloud-native architecture and AI/ML services on either one of the cloud AWS, Azure, or GCP.  Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and semantic search patterns. Experience in deploying and managing ML models with MLOps frameworks (MLflow, Kubeflow).  Understanding of microservices architecture, API gateways, and container orchestration (Docker, Kubernetes).  Having forntend exp is good to have.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. 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 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 for each 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong hands-on experience of end-to-end statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years Of Experience Required 3-6 Years Education Qualification BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Doctor of Philosophy, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Chatbots, Data Structures, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. 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 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 for each 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong hands-on experience of end-to-end statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years Of Experience Required 3-6 Years Education Qualification BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Doctor of Philosophy, Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Chatbots, Data Structures, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Job Title: Prompt Engineer (1+ Year Experience) Location: On-site About the Role: We are seeking a highly skilled and creative Prompt Engineer to join our AI/ML team. In this role, you will design, test, and optimize prompts that interface with large language models (LLMs) like OpenAI’s GPT, Anthropic’s Claude, and others. Your work will directly impact how AI systems perform in real-world applications such as content generation, chatbots, coding assistants, and automation tools. Key Responsibilities: Develop high-quality, structured prompts to guide AI model behavior across various domains. Test, analyze, and refine prompts for accuracy, relevance, and efficiency. Collaborate with engineers, data scientists, and product teams to integrate prompts into applications and workflows. Research and apply advanced prompting strategies such as few-shot learning, chain-of-thought prompting, and context optimization. Maintain prompt libraries, documentation, and prompt evaluation metrics. Provide feedback to improve underlying model performance and product outputs. Requirements: Minimum 2 years of professional experience working with large language models, NLP, or prompt engineering. Strong understanding of prompt construction, model behavior, and context windows. Experience using platforms like OpenAI (GPT-4/ChatGPT), Claude, Cohere, or similar. Excellent analytical thinking, communication skills, and creative problem-solving. Comfortable working in fast-paced, cross-functional environments. Nice to Have: Programming skills in Python or JavaScript for testing and automation. Experience with tools like LangChain, vector databases, or RAG-based systems. Familiarity with AI ethics, prompt security, or bias mitigation. Domain knowledge in one or more areas: content, customer service, legal, finance, healthcare, or education. Job Types: Full-time, Permanent, Fresher Pay: ₹300,000.00 - ₹450,000.00 per year Application Question(s): When can you join us? Location: Chennai, Tamil Nadu (Preferred) Work Location: In person Expected Start Date: 18/08/2025

Ignite the Future of Language with AI at Teradata! What You'll Do: Shape the Way the World Understands Data At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics™ platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems We’re building intelligent systems that go far beyond automation — they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you’ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. You’ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software — from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems. If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up. We are seeking a highly skilled Senior AI Engineer to drive the development and deployment of Agentic AI systems with a strong emphasis on AI observability and data platform integration. You will work at the forefront of cutting-edge AI research and its practical application—designing, implementing, and monitoring intelligent agents capable of autonomous reasoning, decision-making, and continuous learning. Who You'll Work With: Join Forces with the Best Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions. You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions. What Makes You a Qualified Candidate: Skills in Action Architect and implement Agentic AI systems capable of multi-step reasoning, tool use, and autonomous task execution. Build and maintain AI observability pipelines to monitor agent behavior, decision traceability, model drift, and overall system performance. Design and develop data platform components that support real-time and batch processing, data lineage, and high-availability systems for AI training and inference workflows. Integrate LLMs and multi-modal models into robust AI agents using frameworks like LangChain, OpenAI, Hugging Face, or custom stacks. Collaborate with product, research, and MLOps teams to ensure smooth integration between AI agents and user-facing applications Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance. Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance. Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems. You are an excellent backend engineer who codes daily and owns systems end-to-end. Strong engineering background (Python/Java/Golang, API integration, backend frameworks) Strong system design skills and understanding of distributed systems. You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed. Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc. ), and orchestration tools. Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models). Solid understanding of model performance monitoring, drift detection, and responsible AI principles. What You Bring: Passion and Potential A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key. A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge! Design, develop, and deploy agentic systems integrated into the data platform. 5+ years of experience in software architecture, backend systems, or AI infrastructure. Strong experience with LLMs, transformers, and tools like OpenAI API, Anthropic Claude, or open-source LLMs. Deep understanding of AI observability (e. g. , tracing, monitoring, model explainability, drift detection, evaluation pipelines). Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes. Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines. Familiarity with modern data platform architecture Strong background in distributed systems, microservices, and cloud platforms (AWS, GCP, Azure). Experience in software development (Python, Go, or Java preferred). Familiarity with backend service development, APIs, and distributed systems. Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines. Bonus: Research experience or contributions to open-source agentic frameworks. You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions. Preferred Qualifications Experience with tools such as Arize AI, WhyLabs, Traceloop, or Prometheus + custom monitoring for AI/ML. Contributions to open-source agent frameworks or AI infra. Advanced degree (MS/PhD) in Computer Science, Artificial Intelligence, or related field. Experience working with multi-agent systems, real-time decision systems, or autonomous workflows. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

We are hiring AI Engineer fo one of our esteemed client a Hybrid role with flexible REMOTE option. As this particular role is for specific US based project, need someone who is ready to extend support for 3-4 hours in US shift (Timings- 3 PM- 12 AM IST). Experience Range- 5+ Salary Range- 20-35 LPA Must have skills - LLM, LangChain / LlamaIndex / CrewAI / Semantic Kernel, OCR. Backend Development: Python (FastAPI / Flask) AI Integration: OpenAI API (GPT-4o) Cloud Services: Azure Functions, Azure Storage Account, Cosmos DB Database & Caching: NoSQL (Cosmos DB) DevOps & Deployment: CI/CD pipelines, Azure DevOps Code Quality: Unit Testing, Debugging, Performance Optimization

Company Description PeopleCentral is a leading AI-enabled HRMS platform empowering HR professionals in Singapore with all-in-one, easy-to-use solutions. Trusted by over 100,000 users in Singapore. Engage Central, the AI Arm of PeoplecCentral, is looking for an aspiring AI Automation & Prototyping Associate. Role Description You’ll be part of rapid AI experimentation. We supply the idea or use-case; you research the best tools, build a proof-of-concept, test, document, and iterate until we have a workable micro-solution we can hand off to engineering or marketing. Core Responsibilities Landscape Scouting: Track the latest no‑code/low‑code AI tools (e.g., OpenAI Assistants, LangChain, Replit AI, Zapier AI, Make, AirOps, Vapi, etc.). Rapid Prototyping – Build small apps, bots, or automations that prove a concept fast (usually in days, not weeks). Integration & Testing – Hook prototypes into our existing stack (AWS, Notion, Slack, HubSpot, or similar) and run validation tests. Documentation & Handover – Produce concise docs, diagrams, and short demo videos so anyone on the team can replicate or extend the work. Iterative Improvement – Gather feedback, troubleshoot, and refine until the solution is stable enough for production hand‑off. Skills & Experience Hands‑on with Gen‑AI no-code tools Workflow‑automation savvy (Zapier, Make, n8n, or similar) Good to have: Basic full‑stack chops: comfortable in JavaScript/TypeScript or Python for glue code and API calls Rapid learner – can pick up new SaaS tools or frameworks in hours, not weeks Documentation mindset – writes clear READMEs, comments, and Loom walkthroughs Self‑management & async communication – experience working remotely across time zones. Application Instructions Show, don’t tell – Send a link to 2–3 micro‑projects or Loom demos demonstrating your AI prototyping skills. Tool Stack Snapshot – Brief list of AI/automation tools you’re actively using and why you like them. Problem‑Solution Pitch – In ≤150 words, propose one small workflow in HR, recruiting, or finance you’d automate first—and how. (Applications without tangible examples will be skipped.)

Life at MX We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you. Come build with us and be part of an award-winning company that’s helping create meaningful and lasting change in the financial industry. We’re looking for a highly skilled engineer who thrives at the intersection of automation, AI, and web data extraction . You will be responsible for building advanced web scraping systems, designing evasion strategies to bypass anti-bot mechanisms, and integrating intelligent data extraction techniques. This role requires strong expertise in TypeScript , Puppeteer (or Playwright) , and modern scraping architectures, along with a practical understanding of bot detection mechanisms and machine learning for smarter data acquisition. Key Responsibilities Design and maintain scalable web scraping pipelines using Puppeteer, Playwright, or headless browsers Implement evasion techniques to bypass bot detection systems (e.g., fingerprint spoofing, dynamic delays, proxy rotation) Leverage AI/ML models for intelligent parsing, CAPTCHA solving, and anomaly detection Handle large-scale data collection with distributed scraping infrastructure Monitor scraping performance, detect bans, and auto-recover from failure states Build structured outputs (e.g., JSON, GraphQL feeds) from semi-structured/unstructured sources Collaborate with product and data science teams to shape high-quality, reliable data inputs Ensure compliance with legal and ethical scraping practice Required Skills & Experience 4+ years of experience building and scaling web scraping tools Strong proficiency in TypeScript and Node.js Hands-on with Puppeteer, Playwright, or Selenium for browser automation Deep understanding of how bot detection systems work (e.g., Cloudflare, Akamai, hCaptcha) Experience with proxy management, user-agent spoofing, fingerprint manipulation Familiarity with CAPTCHA solving libraries/APIs, ML-based screen parsing, OCR Working knowledge of AI/ML for parsing or automation (e.g., Tesseract, TensorFlow, OpenAI APIs) Comfortable working with large-scale data pipelines, queues (e.g., Kafka, RabbitMQ), and headless fleet management Additional Skills Experience with cloud infrastructure (AWS/GCP) for scalable scraping jobs CI/CD and containerization (Docker, Kubernetes) for deployment Knowledge of ethical and legal considerations around data scraping Contributions to open-source scraping frameworks or tools Work Environment In this role, a significant aspect of the job involves working in the office for a standard 40-hour workweek. We believe that the collaborative nature of our work and the face-to-face interactions among team members are essential for fostering a dynamic and productive work environment. Being present in the office enables seamless communication, facilitates quick decision-making, and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together, allowing for immediate problem-solving, idea exchange, and team building. Compensation The expected earnings for this role could be comprised of a base salary and other forms of cash compensation, such as bonus or commissions as applicable. This pay range is just one component of MX’s total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation. Please note applicants applying for this position must have the legal right to work in India without the need for sponsorship. We are unable to provide work sponsorship for this role, and candidates should be able to verify their eligibility to work in the country independently. Proof of eligibility to work in India will be required as part of the hiring process.

🌟 We're Hiring: Artificial Intelligence (AI) Consultant! 🌟 We are seeking an experienced AI Consultant to drive innovative artificial intelligence solutions and guide organizations through their digital transformation journey. The ideal candidate will have deep expertise in AI technologies, machine learning algorithms, and strategic implementation to deliver impactful business solutions. 📍 Location: Chennai, India ⏰ Work Mode: Flexible office & remote 💼 Role: Artificial Intelligence (AI) Consultant What You'll Do Roles and Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings Essential Skills Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Education Bachelor's or Master’s in Computer Science, AI, Engineering, or related field. Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud- native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter- service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development. Additional Skills Excellent customer interfacing and stakeholder engagement skills. Strong verbal and written communication in business and technical contexts. High attention to detail and structured problem-solving. Passion for AI ethics, safety, performance, and optimization in enterprise-grade systems.

🌟 We're Hiring: Artificial Intelligence (AI) Consultant! 🌟 We are seeking an experienced AI Consultant to drive innovative artificial intelligence solutions and guide organizations through their digital transformation journey. The ideal candidate will have deep expertise in AI technologies, machine learning algorithms, and strategic implementation to deliver impactful business solutions. 📍 Location: Chennai, India ⏰ Work Mode: Flexible office & remote 💼 Role: Artificial Intelligence (AI) Consultant What You'll Do Roles and Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings Essential Skills Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Education Bachelor's or Master’s in Computer Science, AI, Engineering, or related field. Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud- native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter- service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development. Additional Skills Excellent customer interfacing and stakeholder engagement skills. Strong verbal and written communication in business and technical contexts. High attention to detail and structured problem-solving. Passion for AI ethics, safety, performance, and optimization in enterprise-grade systems.

Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models Design and develop prompts suiting project needs Lead and manage team of prompt engineers Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering Key Responsibilities Strategy As the ML Engineer of AI ML Delivery team, the candidate is expected to solutionise, Develop Models and Integrate pipeline for Delivery of AIML Use cases. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage terms of project assignments and deadlines Work with the team dedicated for models related unstructured and structured data. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills And Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Managemen Must Have Hands on experience in Kubernetes and Docker Hands on in Azure Cloud services (VMSS, Blob, AKS, Azure LB) Azure Devops tools CI/CD Hands on in Terraform Good To Have Azure OpenAI Grafana and monitoring Qualifications Masters with specialisation in Technology 8- 12 years relevant of Hands-on Experience Strong proficiency with Python, DJANGO framework and REGEX Good understanding of Machine learning framework Pytorch and Tensorflow Knowledge of Generative AI and RAG Pipeline Good in microservice design pattern and developing scalable application. Ability to build and consume REST API Fine tune and perform code optimization for better performance. Strong understanding on OOP and design thinking Understanding the nature of asynchronous programming and its quirks and workarounds Good understanding of server-side templating languages Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments Integration of APIs, multiple data sources and databases into one system Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server. Understanding fundamental design principles behind a scalable and distributed application Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment. Implementing automated testing platforms, unit tests, and CICD Pipeline About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

Company: Smew – AI & Automation Agency (US-based, Remote-first) We're building an AI and automation agency focused on delivering working systems for various clients. We use no-code and low-code tools to build automation flows that replace manual processes. We’re hiring an Automation Specialist to join us on an hourly contract basis , with the intention to move to full-time remote in 2–6 months. Responsibilities You’ll be responsible for: Building and maintaining automation flows using Make.com or n8n Setting up AI agents and GPT-based assistants Prompt engineering with OpenAI APIs, Claude or other LLMs Managing API integrations and webhook connections Handling client credentials and setting up secure access Creating automated email sequences and CRM updates Supporting programmatic SEO setups and dynamic content pipelines Fine-tuning large language models Working directly with the founding team to scope and deliver projects Requirements At least 1 paid automation project completed in the past (freelance or agency work) Proficiency with Make.com or n8n Strong understanding of APIs, basic logic, and webhook configurations Ability to work independently in a remote setting and communicate clearly and respond within 24h on work days Bonus Skills (Not required, but useful) Familiarity with v0.dev , Cursor , Lovable (vibe-coding tools) Experience with Framer , Webflow , or Bubble Light front-end work (React, Tailwind, or similar) Details 📍 Remote (Open globally) ⏱️ 10–20 hrs/week to start 📝 Contract-based, with option to transition to full-time 🕒 Flexible working hours

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. 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 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 for each 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and implement agentic AI architectures, including planning, memory, tool use, multi-agent collaboration, and feedback loops. Build and integrate with large language models (LLMs), including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). Develop agents capable of autonomous task execution, dynamic decision-making, and long-horizon planning. Lead development of tools for self-reflection, memory persistence, and contextual awareness in AI systems. Create or improve pipelines for multimodal generative AI, such as text-to-image, code generation, or synthetic media creation. Work with APIs, open-source tools (LangChain, AutoGen, OpenAI, Hugging Face), and cloud infrastructure to deploy production-grade agents. Collaborate with product, design, and research teams to align capabilities with user needs and ethical AI practices. Stay up to date with the latest research and developments in agentic AI, LLMs, and generative A Mandatory Skill Sets LangChain, AutoGen, Preferred Skill Sets Langgraph,Langchain Years Of Experience Required 3-7 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Description: 5–8 years of backend or full-stack development experience, with at least 3 years in Generative and Agentic AI. Strong expertise in building APIs using REST, GraphQL, and gRPC, with a focus on performance, versioning, and security. Proficiency in Python (preferred), with additional experience in TypeScript/Node.js, Go, or Java.In-depth knowledge of LLM integration and orchestration (OpenAI, Claude, Gemini, Mistral, LLaMA, etc.). Strong experience with frameworks such as LangChain, LlamaIndex, CrewAI, and Autogen. Familiarity with vector search, semantic memory, and retrieval-based augmentation using tools like FAISS or Qdrant. Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).

We are looking for a seasoned fullstack developer who combines hands-on technical skills with strong experience in AI/ML and a deep understanding of market & website analytics. This role will play a strategic part in building intelligent platforms and driving data-informed decisions. Key Responsibilities: Architect and develop scalable, modular systems using Node.js, React/Next.js, PostgreSQL/MongoDB , and GraphQL/REST APIs . Build extensible APIs and content management workflows. Use OpenAI, Anthropic, or Gemini APIs to build features like automated FAQ generation, AI visibility scoring, and citation-ready content enrichment. Optimize for AI Answer Engines (AEO) Implement and analyze data from tools like Google Analytics, Mixpanel, Amplitude, Hotjar, etc. Develop dashboards and data visualizations to support marketing and product teams Collaborate with designers, data engineers, and product managers to align tech with business strategy Own product performance and conversion metrics with regular audits and improvements Evaluate user behavior, funnels, and attribution to improve product and marketing decisions Required Skills: Strong fullstack capabilities (JavaScript, Node.js, React/Angular, APIs, databases) Solid understanding and practical experience in AI/ML frameworks (e.g., Python, TensorFlow, Hugging Face, OpenAI API, Langchain) Experience implementing bot tracking pipelines : identifying and measuring search engine bots , AI crawlers , and language model spiders . Use of tools like server logs, Cloudflare bot management, or custom bot classification systems. Knowledge of how to measure AEO performance: visibility in AI answers, citation signals, crawl frequency, and interaction patterns. Comfortable collaborating with a business co-founder — a fast-moving, product-minded builder who thrives in zero-to-one environments

Role Summary : This role is responsible for designing and executing AI-enabled digitization initiatives within HR. Will work closely with HR leaders and cross-functional tech teams to translate manual and semi-automated processes into efficient, data-driven AI-supported workflows. Person need not have HR background—but a passion for process improvement, product thinking, and technical fluency are key. Key Responsibilities: Understand current HR processes and identify areas for automation, AI adoption, and digitization. Collaborate with HR teams to gather requirements and design AI-first process maps (e.g., onboarding, talent acquisition, performance reviews). Build/Prototype automation tools using low-code/no-code or custom-built solutions (ChatGPT API, workflow bots, etc.). Partner with internal tech teams to deploy and scale digitized HR solutions. Ensure successful implementation, adoption, and performance tracking of digitized processes. Maintain documentation of architecture, workflows, and use cases. Manage end-to-end HR tech projects with strong stakeholder communication and timelines. Benchmark best practices in HR tech and AI and bring relevant innovation ideas to the table. Ideal Candidate Profile: Educational Background: B.Tech / B.E / MCA or equivalent in Computer Science or a related technical field. Experience: 3–5 years in tech or product roles with direct exposure to AI/machine learning/automation projects. Strong grasp of AI tools and frameworks , e.g., OpenAI API, Python scripts, RPA (e.g., UiPath), Zapier, Typeform, etc. Proven experience working with cross-functional stakeholders and managing projects end-to-end. Excellent analytical and problem-solving skills, ability to work with ambiguity. Strong interest in improving people-related processes and employee experience. Preferred: Exposure to HR or People Operations systems like ATS, HRMS, L&D platforms is a bonus. Prior experience in a fast-paced product company/startup environment. Understanding of data privacy, compliance, and security best practices. Few of the Tool exposure required Category Tools/Technologies AI & NLP OpenAI API (ChatGPT), LangChain, Azure OpenAI, Google Vertex AI Automation (Low-code/No-code) Zapier, Make (Integromat), Microsoft Power Automate, Workato Form & Workflow Builders Typeform, Jotform, Google Forms + AppSheet, Airtable RPA & Workflow Engines UiPath, Automation Anywhere, Robocorp Programming & Scripting Python (for automation, API integration), JavaScript (optional) Project Management Jira, Notion, Asana, Trello HR Tech (Optional but good to have) Darwinbox, SAP SuccessFactors, Keka, Zoho People, Freshteam API Integration REST APIs, Webhooks, Postman Data Handling Excel (advanced), Google Sheets, Pandas (Python), SQL basics

We are looking for a highly motivated and skilled Generative AI (GenAI) Developer to join our dynamic team. You will be responsible for building and deploying GenAI solutions using large language models (LLMs) to address real-world business challenges. The role involves working with cross-functional teams, applying prompt engineering and fine-tuning techniques, and building scalable AI-driven applications. A strong foundation in machine learning, NLP, and a passion for emerging GenAI technologies is essential. Responsibilities Design, develop, and implement GenAI solutions using large language models (LLMs) to address specific business needs using Python Collaborate with stakeholders to identify opportunities for GenAI integration and translate requirements into scalable solutions Preprocess and analyze unstructured data (text, documents, etc.) for model training, fine-tuning, and evaluation Apply prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques to optimize LLM outputs Deploy GenAI models and APIs into production environments, ensuring performance, scalability, and reliability Monitor and maintain deployed solutions, incorporating improvements based on feedback and real-world usage Stay up to date with the latest advancements in GenAI, LLMs, and orchestration tools (e.g., LangChain, LlamaIndex) Write clean, maintainable, and well-documented code, and contribute to team-wide code reviews and best practices Requirements 2-3 years of relevant Proven experience as an AI Developer Proficiency in Python Good understanding multiple of Gen AI models (OpenAI, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc Experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases (e.g., FAISS, Pinecone) Multi agents frameworks to create workflows Langchain or similar tools like lamaindex, langgraph etc Knowledge of Machine Learning frameworks, libraries, and tools Excellent problem-solving skills and solution mindset Strong communication and teamwork skills Ability to work independently and manage ones time effectively Experience with any of cloud platforms (AWS, GCP, Azure) Benefits Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres. Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Disclaimer: - Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic