85 Vectorization Jobs

Years of Experience: Candidates with 4+ years of hands-on experience Responsibilities: - Collaborate with product, engineering, and domain experts to identify high-impact GenAI opportunities and create actionable road maps. - Design, build, and iterate on GenAI and Agentic AI solutions end-to-end, encompassing agent architecture and orchestration, tool and memory integration, goal-directed planning and execution, analytical model development, prompt engineering, robust testing, CI/CD, and full-stack integration. - Process structured and unstructured data for LLM workflows by applying vectorization and embedding, intelligent chunking, RAG pipelines, generative SQL creation and validation, scalable connectors for databases and APIs, and rigorous data-quality checks. - Validate and evaluate models, RAGs and agents through quantitative and qualitative metrics, perform error analysis, and drive continuous performance tuning. - Containerize and deploy production workloads on Kubernetes and leading cloud platforms (Azure, AWS, GCP). - Communicate findings and insights via dashboards, visualizations, technical reports, and executive-level presentations. - Stay current with GenAI advancements and champion innovative practices across the organization. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. - 1-2 years of hands-on experience delivering GenAI solutions, complemented by 3-5 years of deploying machine learning solutions in production environments. - Strong proficiency in Python including object-oriented programming (OOP), with additional experience in R or Scala valued. - Proven experience with vector stores and search technologies (e.g., FAISS, pgvector, Azure AI Search, AWS OpenSearch). - Experience with LLM-backed agent frameworks including LangChain, LangGraph, AutoGen, and CrewAI, as well as RAG patterns. - Expertise in data preprocessing, feature engineering, and statistical experimentation. - Competence with cloud services across Azure, AWS, or Google Cloud, including Kubernetes and Docker. - Solid grasp of Git workflows, automated testing (unit, integration, end-to-end), and CI/CD pipelines. - Proficiency in data visualization and storytelling for both technical and non-technical audiences. - Strong problem-solving skills, collaborative mindset, and ability to thrive in a fast-paced environment.

Position Summary: The Security Technology Engineering team is responsible for collaborating and partnering with various Business Units (BUs) and stakeholders across the organization to manage external and insider threat detection, mitigation, investigation and response efforts across the organization. The Sr.Info Security Engineer will participate in the activities of a global, expert team that develops robust technical solutions and advanced analytics to enable preventive threat detection efforts. KEY RESPONSIBILITIES AND DUTIES: The cloud security engineer works with our Cyber Engineering, Operations, Architecture and Global Infrastructure teams to deploy and operate a secure cloud application infrastructure that aligns with the Cyber security strategic initiatives and business needs. The position is responsible for supporting innovation and providing security direction to the business to elevate TIAA’s security posture within a cloud computing infrastructure. The cloud security engineer helps deliver applications at scale and with resiliency to support business initiatives. The cloud security engineer is expected to possess advanced administrative and troubleshooting skills, and be knowledgeable on architecture, engineering and design principles. The cloud security engineer must be highly technical and have a minimum of 2-3 years’ experience in security and systems administration across a wide variety of cloud infrastructure, including Software as a Service (SaaS), Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). The cloud security engineer needs to know how to implement industry-leading container security tools that meet business needs and take advantage of cloud and container capabilities. They are expected to be self-starters, have a strong work ethic, leverage analytical and critical thinking and be resourceful in working as part of a global virtual team. The role also requires interfacing with other business units so the candidate must have strong verbal and written communication skills. QUALIFICATIONS: Required skills: 5 + years of experience in IT Technology. 2+ years of experience in AI / ML with strong working knowledge in neural networks. 2+ years of data engineering experience preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry or AWS Lambda 2+ years of python coding using numpy, vectorization and Tensorflow. 2+ years of experience leading complex enterprise-wide integration programs and efforts as an individual contributor Preferred Skills: Mathematics or physics degree. 2+ years of technical knowledge in cloud technologies such as AWS, Azure, GCP Excellent verbal, written, and interpersonal communication skills Ability to provide strong custome

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

Senior Data Scientist Location: India (Remote) Open Positions: 3 Experience: 5+ years in applied Data Science with production deployments Technical Requirements Core Data Science & Statistics Statistical Foundation: Demonstrated experience with experimental design, A/B testing, causal inference, and time series analysis. Must be able to explain when and why to use different statistical tests. Machine Learning: Hands-on experience building and deploying models for regression, classification, clustering, and forecasting. Should have optimized hyperparameters, handled class imbalance, and dealt with feature drift in production. Deep Learning: Practical experience with neural networks beyond tutorials - custom architectures, loss functions, and optimization strategies for specific business problems. Programming & Engineering Python Proficiency: Advanced usage of core data science stack (Pandas, NumPy, Scikit-learn). Experience with at least one deep learning framework (PyTorch preferred, TensorFlow acceptable). Production Code: Experience writing maintainable, tested code. Understanding of version control, code reviews, and collaborative development practices. Performance Optimization: Experience with profiling, vectorization, and handling datasets that don't fit in memory. LLM Experience (Good to Have) API Integration: Experience integrating with OpenAI, Anthropic, or other LLM APIs in production applications. Prompt Engineering: Systematic approach to prompt design, few-shot learning, and prompt optimization for specific tasks. Fine-tuning & Customization: Experience with parameter-efficient fine-tuning (LoRA, QLoRA) or custom training for domain-specific applications. Responsibilities Collect, clean, and analyze large datasets to derive insights and build predictive solutions. Design and deploy ML/DL models that solve business problems (customer insights, forecasting, optimization). Collaborate with cross-functional teams to integrate AI solutions into business workflows. Build dashboards, reports, and visualizations for business stakeholders. Contribute to projects involving LLM-based applications (chatbots, summarization, assistants) as needed. Stay updated with industry trends and contribute to knowledge sharing within the team.

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft 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 data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. 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. We are looking for experienced software developers with: *strong analytical and problem-solving abilities *ability to coordinate with multiple teams and ensure smooth coordination *experience with migrating legacy enterprise apps into microservice architecture along with data migration *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: We are looking for a talented Microsoft full stack engineer development Specialist with a robust technical foundation to join our team. Experience: 3-7 years working Azure AI Services/ Azure Cognitive Services with a demonstrated track record of working with Azure App Development leveragring the Azure services and managing deployments using Azure Kubernetes Services(AKS). AI Frameworks/Services: Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming: Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise: Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering: Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies: Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory skill sets: Microsoft Azure, Microsoft full stack engineer Preferred skill sets: AI/ML Developer Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Certifications/Credentials Years of experience required: 3-7yrs Education qualification: B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft 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 data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. 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. We are looking for experienced software developers with: *strong analytical and problem-solving abilities *ability to coordinate with multiple teams and ensure smooth coordination *experience with migrating legacy enterprise apps into microservice architecture along with data migration *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: We are looking for a talented Microsoft full stack engineer development Specialist with a robust technical foundation to join our team. Experience: 3-7 years working Azure AI Services/ Azure Cognitive Services with a demonstrated track record of working with Azure App Development leveragring the Azure services and managing deployments using Azure Kubernetes Services(AKS). AI Frameworks/Services: Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming: Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise: Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering: Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies: Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory skill sets: Microsoft Azure, Microsoft full stack engineer Preferred skill sets: AI/ML Developer Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Certifications/Credentials Years of experience required: 3-7yrs Education qualification: B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Company Description Promoarts Technologies is a graphic design company specializing in creating camera-ready art, digitizing for embroidery logos, and promotional products. With 8 years of experience, we provide high-quality hand-drawn vector images redrawn from original artwork at affordable prices. Our services include vectorization, template placement, creative art, digitizing for embroidery, catalog, and brochure design, among others. We offer a fast turnaround time and 24/7 customer service. Our headquarters is located in Puducherry, and we are committed to providing exceptional support, even during holidays. Role Description This is a full-time hybrid role for a Graphic Designer based in Puducherry, with some work from home acceptable. The Graphic Designer will be responsible for creating graphics, designing logos, developing branding materials, and designing typography elements. The role requires a combination of creative and technical skills to produce visually appealing and effective designs. Daily tasks include collaborating with clients, interpreting design briefs, and producing high-quality digital artwork. Qualifications Graphics and Graphic Design skills Experience in Logo Design and Branding Proficiency in Typography Strong attention to detail and creativity Ability to manage multiple projects and meet deadlines Proficiency in design software such as Adobe Creative Suite Excellent communication and teamwork skills Bachelor's degree in Graphic Design, Fine Arts, or related field

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve working with Microsoft Azure OpenAI Service and collaborating with cross-functional teams to deliver high-quality solutions. Roles & Responsibilities: - Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU), Microsoft Bot Framework/ Microsoft Power Virtual Agents (Microsoft Copilot Studio) and Azure PaaS. - Collaborate with cross-functional teams to ensure the timely delivery of high-quality solutions. - Act as the primary point of contact for all application-related issues, providing technical guidance and support to team members. - Ensure adherence to best practices and standards for application development, including code reviews, testing, and documentation. Professional & Technical Skills: Must To Have Skills: Strong experience with Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU) and Azure PaaS including API Management, Key Vault and Application Insights.. - Must To Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings/vectorization and semantic/vector based indexing and search. -Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents (Microsoft Copilot Studio) - Must To Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python programming language, using Visual Studio Code IDE and Azure AI Studio. - Good To Have Skills: Other programming languages such as C#. - Good To Have Skills: Experience with deployment of applications in Azure cloud. Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence. - Experience with database technologies such as SQL Server and Cosmos DB. - Solid grasp of software testing and quality assurance principles. Additional Information: - The candidate should have a minimum of 3 years of experience in software development. - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering high-quality software solutions. - This position is based at our Bengaluru office., 15 years full time education

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Risk Consulting – Digital Risk Senior – Artificial Intelligence - Data Scientist We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and years of practical experience developing Artificial Intelligence (AI) capabilities for and with clients across sectors to ensure the highest level of execution and satisfaction for our clients. Come help define the future of AI while enabling safe innovation at pace. Your Key Responsibilities Do you have sharp analytic skills? Do you know how to solve problems? Do you know how to develop innovative solutions? We’re looking for someone like that who can: Turn data into an asset for clients Rapidly perform Data Science analysis to provide insights using a variety of techniques Apply experience and expertise in several tools such as Python, Machine Learning and AI libraries, etc. Perform full lifecycle of Data Scientist activities, including conceptual and operational aspects Manage end to end projects - clarify requirements and devise research approaches Collect and combine data from multiple sources, analyze it for insights and produce great visuals Stay on top of current business and industry trends At the heart of this project is the ability to systematically analyze and build statistical and machine learning models for our clients across markets. We are looking for talented and experienced Data Scientists to bring innovation at EY To qualify for the role, you must have Degree in Computer Science, Mathematics or similar quantitative field; Minimally 2 years of relevant experience Strong knowledge and experience of data mining and machine learning - algorithms, regression techniques, decision trees, clustering, pattern recognition, probability theory, statistical techniques and dimensionality reduction Experience in at-least 3-4 of below areas: Machine Learning / Data Science: Basic understanding of machine learning concepts and data science workflows. Familiarity with data preprocessing, feature extraction, and model evaluation. Natural Language Processing (NLP): Basic to intermediate knowledge of NLP techniques, including lemmatization, tokenization, part-of-speech tagging, and named entity recognition. Basic understanding of transformer architecture and its significance in modern NLP tasks. Experience with Generative AI Projects: Hands-on experience with generative AI projects, specifically those involving large language models (LLMs), Familiarity with different LLMs and their applications. Document Q&A Projects: Experience with question-answering systems and understanding of architectures like Retrieval Augmented Generation (RAG) or Knowledge Graphs (KG). Vectorization and Vector Databases: Understanding of vectorization in the context of NLP and machine learning. Experience with vector databases and their use in managing and querying high-dimensional data. Programming and Development: Proficiency in Python, essential for most AI and data science tasks. Experience with developing web applications using Streamlit.. Knowledge of API development with frameworks like Flask. Experience with deploying applications on cloud platforms such as Azure and AW, is added advantage Strong analytical and problem-solving skills with a passion for research An ideal candidate would also have below exposure leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and related areas at scale Experience developing AI systems in either a design, business, or technical capacity Experience with model risk management Experience with Agile and/or Scrum methods of delivery What We Look For We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Artificial Intelligence. Above all else, if you have a genuine passion and commitment to building a more responsible technology future, we will greatly welcome your application. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft 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 data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. 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 • Design, develop, and deploy AI/ML models in Vertex AI • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Java sprintboot framework/.NET core framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps/Jenkins/Gitlab • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly Skill sets • Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Vertex AI, Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Google cloud • Knowledge of data preprocessing and feature engineering techniques Certifications/Credentials • AI-900: Azure AI Fundamentals (Must Have) Mandatory Skill Sets: Python, TypeScript, and/or C#,Vertex AI,Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn Preferred Skill Sets:Python, TypeScript, and/or C#,Vertex AI,Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn Years of experience required: 3 to 6 Education Qualification- BTech/BE/MTech from reputed institution/university as per the hiring norms Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft 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 data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. 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 • Design, develop, and deploy AI/ML models in Vertex AI • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Java sprintboot framework/.NET core framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps/Jenkins/Gitlab • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly Skill sets • Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Vertex AI, Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Google cloud • Knowledge of data preprocessing and feature engineering techniques Certifications/Credentials • AI-900: Azure AI Fundamentals (Must Have) Mandatory Skill Sets: Python, TypeScript, and/or C#,Vertex AI,Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn Preferred Skill Sets:Python, TypeScript, and/or C#,Vertex AI,Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn Years of experience required: 3 to 6 Education Qualification- BTech/BE/MTech from reputed institution/university as per the hiring norms Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

As a Senior Graphic Design Quality Analyst at INKCREDIBLE STUDIOS Pvt Ltd, you will play a crucial role in ensuring the quality control and assurance of graphic designs to meet the company's high standards. Your responsibilities will include conducting quality checks, analyzing design specifications, implementing quality management procedures, and providing feedback to design teams for maintaining top-notch quality across all projects. To excel in this role, you must possess strong analytical skills and quality control abilities. Your experience in Quality Assurance and Quality Management techniques will be key in overseeing the design process effectively. Excellent communication skills are essential for seamless collaboration with design teams, while attention to detail will enable you to spot errors and inconsistencies in designs. Proficiency in using graphic design and quality control software is a must-have for this position. A Bachelor's degree in Graphic Design, Quality Management, or a related field is required. Previous experience in a similar role within the graphic design or multimedia industry will be beneficial. In addition to your core responsibilities, you should also be adept at creating vectors based on given instructions. Your role as a Senior Graphic Design Quality Analyst in Chennai will contribute significantly to maintaining the company's reputation for delivering high-quality products at competitive market rates.,

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 2+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with product, engineering, and domain experts to identify high-impact GenAI opportunities and create actionable road maps. Design, build, and iterate on GenAI and Agentic AI solutions end-to-end, encompassing agent architecture and orchestration, tool and memory integration, goal-directed planning and execution, analytical model development, prompt engineering, robust testing, CI/CD, and full-stack integration. Process structured and unstructured data for LLM workflows by applying vectorization and embedding, intelligent chunking, RAG pipelines, generative SQL creation and validation, scalable connectors for databases and APIs, and rigorous data-quality checks. Validate and evaluate models, RAGs and agents through quantitative and qualitative metrics, perform error analysis, and drive continuous performance tuning. Containerize and deploy production workloads on Kubernetes and leading cloud platforms (Azure, AWS, GCP). Communicate findings and insights via dashboards, visualizations, technical reports, and executive-level presentations. Stay current with GenAI advancements and champion innovative practices across the organization. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 1-2 years of hands-on experience delivering GenAI solutions, complemented by 3-5 years of deploying machine learning solutions in production environments. Strong proficiency in Python including object-oriented programming (OOP), with additional experience in R or Scala valued. Proven experience with vector stores and search technologies (e.g., FAISS, pgvector, Azure AI Search, AWS OpenSearch). Experience with LLM-backed agent frameworks including LangChain, LangGraph, AutoGen, and CrewAI, as well as RAG patterns. Expertise in data preprocessing, feature engineering, and statistical experimentation. Competence with cloud services across Azure, AWS, or Google Cloud, including Kubernetes and Docker. Solid grasp of Git workflows, automated testing (unit, integration, end-to-end), and CI/CD pipelines. Proficiency in data visualization and storytelling for both technical and non-technical audiences. Strong problem-solving skills, collaborative mindset, and ability to thrive in a fast-paced environment. Nice To Have Skills Relevant certifications in GenAI tools and technologies. Hands-on experience with leading agent orchestration platforms such as Agentspace (Google), Agentforce (Salesforce), and Mosaic AI (Databricks). Proven experience in chatbot design and development, including conversational flow, intent recognition, and backend integration. Practical knowledge of ML/DL frameworks such as TensorFlow, PyTorch, and scikit-learn. Proficient in object-oriented programming with languages such as Java, C++, or C#. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree Minimum Years Experience Required Add here AND change text color to black or remove bullet and section title if not applicable Additional Application Instructions Add here AND change text color to black or remove bullet and section title if not applicable

Qualcomm India Private Limited is seeking engineers to join the Qualcomm AI team to develop hardware and software for Machine Learning solutions. As part of the Engineering Group in the Machine Learning Engineering division, you will be working on cutting-edge technologies that span various markets such as data center, edge, infrastructure, and automotive sectors. In this fast-paced environment, you will be responsible for researching, designing, developing, enhancing, and implementing components of machine learning frameworks and compilers to meet the performance and code-size requirements of customer workloads. Collaboration with architecture, hardware engineers, and software development teams will be crucial to ensure the successful integration of software solutions into Qualcomm's SOCs. The ideal candidate should possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field, along with a minimum of 8 years of Systems Engineering or related work experience. Knowledge of Machine learning frameworks like Pytorch and Tensorflow, experience in model level optimization, familiarity with LLVM or other industrial compiler development, and proficiency in C/C++, Python development are preferred qualifications. If you have a passion for driving the development of leading-edge deep learning frameworks and algorithms for mobile and embedded platforms, and if you possess the required qualifications and experience, we encourage you to apply to be part of the innovative Qualcomm team. Qualcomm is an equal opportunity employer and is committed to providing reasonable accommodations to individuals with disabilities throughout the application and hiring process. If you require any accommodations, please contact Qualcomm through the provided email address or toll-free number. Remember, Qualcomm expects all employees to adhere to applicable policies and procedures, including those concerning the protection of confidential information. For more information about this exciting opportunity with Qualcomm, please reach out to Qualcomm Careers.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes 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 in our Microsoft Dynamics team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office functions leveraging Salesforce. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Salesforce technologies such as Salesforce Platforms, 365, Azure, Power Platform and Power BI. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmers and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Azure DevOps: We are looking for experienced software developers with: *strong analytical and problem-solving abilities *willingness and to learn new technologies and adapt to changing project requirements *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: Key responsibilities include: • Understanding of Agile/DevOps environment Build and test code continuously • Azure Application Gateway configurations setup • Provisioning Azure Landing zone using Terraform • Deploy and maintain applications on cloud-native microservices architecture • End to End Azure Infra build setup for an application using IAC • SQL DB migration from one environment to another • Azure Firewall & NSG configuration setup • VM resizing activity & disk space increase • Disk Snapshot backup configuration using Azure Automation Account Runbook via PowerShell script • Procuring & updating new certificates in Azure App GW • Major incident management along coordination with different global teams and vendors and Business Continuity / Disaster recovery • Testing and examining by performing Application launch test and use case execution • Checking security compliance • Patching, taking snapshots, restoring and rollback procedure • Constant health check of production and non-production environments on Azure Mandatory skill sets: Essential Skills: Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Microsoft Teams and Graph API integration • Knowledge of data preprocessing and feature engineering techniques. Preferred skill sets: Azure DevOps *Strong and exhaustive understanding of Azure Cloud Technologies *Experience with Linux and Windows Operating Systems administration *Scripting language competency (bash/ shell/ PowerShell) *Development Operations Tool Experience (Preferably Github, Gitlab, AzureDevOps) *Container Management Experience: Docker, Kubernetes, AKS: Docker *Cloud Networking Experience (Public/Private IP, Routing, Firewalls, Remote Management (SSH, RDP)) *Configuration Management Experience (Preferably Ansible) *Experience with Cloud Deployment Tools (Preferably Terraform, ARM) *Tools: Splunk/ Grafana/ Prometheus *Azure Migrate Certifications/Credentials AZ-104/ 400/ 305 (not just AZ900) • Design, develop, and deploy AI/ML models in Azure App Services and Azure Kubernetes Service (AKS) • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Microsoft .NET framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly. Years of experience required: 4 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

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

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes 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 in our Microsoft Dynamics team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office functions leveraging Salesforce. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Salesforce technologies such as Salesforce Platforms, 365, Azure, Power Platform and Power BI. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmers and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Azure DevOps: We are looking for experienced software developers with: *strong analytical and problem-solving abilities *willingness and to learn new technologies and adapt to changing project requirements *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: Key responsibilities include: • Understanding of Agile/DevOps environment Build and test code continuously • Azure Application Gateway configurations setup • Provisioning Azure Landing zone using Terraform • Deploy and maintain applications on cloud-native microservices architecture • End to End Azure Infra build setup for an application using IAC • SQL DB migration from one environment to another • Azure Firewall & NSG configuration setup • VM resizing activity & disk space increase • Disk Snapshot backup configuration using Azure Automation Account Runbook via PowerShell script • Procuring & updating new certificates in Azure App GW • Major incident management along coordination with different global teams and vendors and Business Continuity / Disaster recovery • Testing and examining by performing Application launch test and use case execution • Checking security compliance • Patching, taking snapshots, restoring and rollback procedure • Constant health check of production and non-production environments on Azure Mandatory skill sets: Essential Skills: Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Microsoft Teams and Graph API integration • Knowledge of data preprocessing and feature engineering techniques. Preferred skill sets: Azure DevOps *Strong and exhaustive understanding of Azure Cloud Technologies *Experience with Linux and Windows Operating Systems administration *Scripting language competency (bash/ shell/ PowerShell) *Development Operations Tool Experience (Preferably Github, Gitlab, AzureDevOps) *Container Management Experience: Docker, Kubernetes, AKS: Docker *Cloud Networking Experience (Public/Private IP, Routing, Firewalls, Remote Management (SSH, RDP)) *Configuration Management Experience (Preferably Ansible) *Experience with Cloud Deployment Tools (Preferably Terraform, ARM) *Tools: Splunk/ Grafana/ Prometheus *Azure Migrate Certifications/Credentials AZ-104/ 400/ 305 (not just AZ900) • Design, develop, and deploy AI/ML models in Azure App Services and Azure Kubernetes Service (AKS) • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Microsoft .NET framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly. Years of experience required: 4 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Position: Data Scientist Location: Mumbai About LRN: LRN is the world's leading dedicated ethics and compliance SaaS company, helping more than 30 million people every year navigate complex regional and global regulatory environments and build ethical, responsible cultures. With over 3,000 clients across the US, EMEA, APAC, and Latin America—including some of the world's most respected and successful brands—we're proud to be the long-term partner trusted to reduce organizational risk and drive principled performance. Named one of Inc Magazine's 5000 Fastest-Growing Companies, LRN is redefining how organizations turn values into action. Our state-of-the-art platform combines intuitive design, mobile accessibility, robust analytics, and industry benchmarking—enabling organizations to create, manage, deliver, and audit ethics and compliance programs with confidence. Backed by a unique blend of technology, education, and expert advisement, LRN helps companies turn their values into real-world behaviors and leadership practices that deliver lasting competitive advantage. About the role: We're looking for a curious, hands-on, and impact-oriented Data Scientist to join our team. You'll work across a wide range of structured and unstructured data to support decision-making, build models, and explore how generative AI can enhance our products and workflows. You don't need decades of experience — we value initiative, strong fundamentals, and a desire to learn over perfect resumes. This is a great opportunity for someone early in their career who wants to shape meaningful applications in AI, analytics, and real-world business challenges. Requirements What you'll do: Work with cross-functional teams to understand business problems and translate them into data science tasks. Analyze structured and unstructured data (e.g., text, course interactions, HRIS data, survey responses, logs) to surface insights and patterns. Build predictive and descriptive models using machine learning and statistical techniques. Experiment with generative AI (LLMs, embeddings, prompt engineering, fine-tuning) to explore new capabilities. Collaborate with data engineers, product managers, and designers to turn models into production-ready features. Communicate findings through visualizations, dashboards, and clear storytelling What we're looking for: Core Skills Ability to take initiative in identifying new opportunities where data science or AI can drive value — even in loosely defined or ambiguous problem spaces. Solid grasp of data wrangling, EDA, and basic statistical modeling. Comfort working with SQL and exploring data in relational databases. Experience working with Python and common libraries (pandas, numpy, etc.). Familiarity with a subset of standard modeling techniques such as: Logistic regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM) Clustering (K-Means, DBSCAN) Text vectorization (TF-IDF, word embeddings, sentence transformers) Dimensionality reduction (PCA, t-SNE, UMAP) · Generative AI & ML Familiarity with large language models (e.g., OpenAI, Hugging Face, etc.). Experience using embeddings, vector databases, or prompt-based pipelines. Interest or experience in fine-tuning or evaluating generative models. Mindset & Collaboration Eagerness to learn and apply new tools, techniques, and frameworks. Ability to work independently and push through ambiguity. Strong communication skills and a collaborative spirit. Comfortable receiving feedback, iterating fast, and delivering value. Nice-to-Have Extras Experience with data visualization tools (e.g., Plotly, Dash, Tableau, Streamlit). Exposure to model monitoring, ML Ops, or data pipelines. Interest in ethics, compliance, education, or B2B SaaS domains. Familiarity with cloud platforms like AWS or GCP. Benefits Excellent medical benefits, including family plan Paid Time Off (PTO) plus India public holidays Competitive salary Combined Onsite and Remote Work LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes 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 in our Microsoft Dynamics team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office functions leveraging Salesforce. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Salesforce technologies such as Salesforce Platforms, 365, Azure, Power Platform and Power BI. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmers and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. Azure DevOps: We are looking for experienced software developers with: *strong analytical and problem-solving abilities *willingness and to learn new technologies and adapt to changing project requirements *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: Key responsibilities include: • Understanding of Agile/DevOps environment Build and test code continuously • Azure Application Gateway configurations setup • Provisioning Azure Landing zone using Terraform • Deploy and maintain applications on cloud-native microservices architecture • End to End Azure Infra build setup for an application using IAC • SQL DB migration from one environment to another • Azure Firewall & NSG configuration setup • VM resizing activity & disk space increase • Disk Snapshot backup configuration using Azure Automation Account Runbook via PowerShell script • Procuring & updating new certificates in Azure App GW • Major incident management along coordination with different global teams and vendors and Business Continuity / Disaster recovery • Testing and examining by performing Application launch test and use case execution • Checking security compliance • Patching, taking snapshots, restoring and rollback procedure • Constant health check of production and non-production environments on Azure Mandatory skill sets: Essential Skills: Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Microsoft Teams and Graph API integration • Knowledge of data preprocessing and feature engineering techniques. Preferred skill sets: Azure DevOps *Strong and exhaustive understanding of Azure Cloud Technologies *Experience with Linux and Windows Operating Systems administration *Scripting language competency (bash/ shell/ PowerShell) *Development Operations Tool Experience (Preferably Github, Gitlab, AzureDevOps) *Container Management Experience: Docker, Kubernetes, AKS: Docker *Cloud Networking Experience (Public/Private IP, Routing, Firewalls, Remote Management (SSH, RDP)) *Configuration Management Experience (Preferably Ansible) *Experience with Cloud Deployment Tools (Preferably Terraform, ARM) *Tools: Splunk/ Grafana/ Prometheus *Azure Migrate Certifications/Credentials AZ-104/ 400/ 305 (not just AZ900) • Design, develop, and deploy AI/ML models in Azure App Services and Azure Kubernetes Service (AKS) • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Microsoft .NET framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly. Years of experience required: 4 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes 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 in our Microsoft Dynamics team will provide the opportunity to help our clients transform their technology landscape across Front, Back and Mid-Office functions leveraging Salesforce. We focus on contributing to PwC’s value proposition of “strategy led, and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Salesforce technologies such as Salesforce Platforms, 365, Azure, Power Platform and Power BI. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmers and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. AI/ML Developer: • Design, develop, and deploy AI/ML models in Azure App Services and Azure Kubernetes Service (AKS) • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Microsoft .NET framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly. Mandatory skill sets: Essential Skills: AI/ML development, Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Microsoft Teams and Graph API integration • Knowledge of data preprocessing and feature engineering techniques. Preferred skill sets: · Desirable Skills: 1. AI/ML development, AI-900: Azure AI Fundamentals (Must Have) · Good to have: 1. DP-100: Azure Data Scientist Associate (Preferred) Years of experience required: 3 to 7 Years Education qualification: B.Tech/B.E./MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming, Machine Learning Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Debugging, Emotional Regulation {+ 41 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Role overview Experience : 10- 18 10 plus years experience in software development with at least the last few years in a leadership role with progressively increasing responsibilities 2. Extensive experience in the following areas Proficient in C#, .NET framework, Python Knowledgeable in Angular / React / Node Designing and building cloud-native solutions (Azure, AWS, Google Cloud Platform) Well versed with LLM solutions, RAG, Vectorization Containerization and orchestration technologies (Docker, Kubernetes) Experience in native and third-party Databricks integrations (Delta Live Tables, Lakeflow, Databricks Workflows / Apache Airflow, Unity Catalog) Experience designing and implementing data security and governance platform adhering to compliance standards (HIPPA, SOC 2) preferred Specific Job Knowledge, Skill and Ability Demonstrated success in effectively communicating at all levels of an organization Deep understanding and knowledge on developing products using Microsoft Technologies Ability to lead through influence rather than direct authority Demonstrated successful time management and organization skills Ability to manage and work with a culturally diverse population Ability to work well and productively, always projecting a positive outlook in a fastpaced, deadline-driven environment Ability to anticipate roadblocks, diagnose problems and generate effective solutions Knows how to organize a software development team to maximize quality and output Will promote and encourage opportunities for personal and professional growth in employees Understands how to use metrics to drive process improvements What would you do here Duties and Responsibilities Function as a key member of the software engineering team, leading software engineering development initiatives for LogixHealths internally developed applications 2. Provide decisive and effective technical leadership for all development efforts Develop solution blueprint for all new features and products, bringing in design patterns and latest development guidelines Lead, mentor, and advise the software engineering team. Drive technical debt reduction, design and code reviews, best practice development Consult with infra team on architecture and cost optimization for applications Lead modernization of application and data platform, introducing automation and AI use across all platforms and development methodologies Lead and contribute to the creation of a self-service platforms for software development, infrastructure, and data analytics. Hands-on to take complex development tasks, prototypes, troubleshooting Collaborate with engineers, product, and business leaders to ensure platforms are integrated with other systems and technologies. Participate in development process by identifying potential weak points. Lead solutions development using technical judgment, input from experts and the involvement of other systems development partners as appropriate Clearly and consistently communicate product vision to the team. Guide the team to achieve this vision Show more Show less

Company: Uplevyl Location: Remote Employment Type: Full-time / Part-time About Uplevyl At Uplevyl, we are on a mission to transform the way women navigate their careers, lives, and personal growth. Our AI-powered platform combines cutting-edge technology with deep insights into gender intelligence to empower women with resources, mentorship, and opportunities for advancement. By integrating research, analytics, and community-driven content, Uplevyl strives to build a future where women lead with confidence and impact. Role Overview We are seeking a Technical Ghost Writer / Technical Communication Specialist with deep expertise in AI and technology. This role will shape Uplevyl’s thought leadership by crafting compelling, insightful, and authentic content that resonates with business, professional, and community audiences. You will work directly with our founder and leadership team, adapting their voice and perspective into high-quality written pieces that highlight Uplevyl’s mission, expertise, and vision. Key Responsibilities Technical Writing & Ghostwriting Translate complex technical concepts (AI bias, vectorization, emerging AI trends) into clear, business-accessible language. Ghostwrite thought leadership pieces (LinkedIn posts, blogs, reports, articles) in the authentic voice of Uplevyl’s leadership. Develop long-form reports and whitepapers (30–50 pages) and repurpose content into shorter formats. Content Strategy & Development Draft and publish engaging content across multiple platforms: blog posts, LinkedIn, newsletters, presentations, and reports. Design content reuse strategies to maximize reach and consistency across channels. Collaborate with PR, social, and design teams to ensure content aligns with brand positioning. Research & Insights Conduct research on AI and technology trends, especially those intersecting with gender diversity, leadership, and professional growth. Monitor industry developments through news, podcasts, communities, and company blogs. Synthesize insights into accessible, credible, and compelling narratives. Collaboration & Stakeholder Engagement Work closely with Uplevyl’s founder and leadership to capture authentic perspectives. Partner with distributed, global teams to align content with overall brand goals. Incorporate feedback and adapt content strategies as the role evolves. Qualifications & Skills Required Proven experience as a technical writer, content designer, or copywriter with focus on AI/tech. Ability to explain complex AI and technology topics to non-technical, business audiences. Strong ghostwriting ability to adapt to executive voice and tone. Experience creating both long-form (reports, whitepapers) and short-form content (blogs, social posts). Skilled in independent research, trend analysis, and synthesizing insights into accessible content. Familiarity with content management systems (WordPress) and collaboration tools (Confluence, Jira, AEM, Figma). Strong time management, flexibility, and ability to meet deadlines. Comfort working with remote, globally distributed teams. Preferred / Nice to Have B.Tech or equivalent technical degree. Experience across multiple industries and audiences. Background in gender diversity, leadership, or professional communities. Willingness to work flexible hours to accommodate international collaboration. What We Offer Opportunity to shape Uplevyl’s voice in the AI and gender intelligence space. A mission-driven environment committed to women’s empowerment and leadership. Flexible working arrangements (remote, part-time, full-time, or contract). Chance to collaborate directly with visionary leaders and make measurable impact. Potential to convert contract role into a long-term position.

Position Title : Artificial Intelligence Engineer Location: Gurugram (Remote) Job Type: Full Time Freshers passed out from any IITs, NITs, BITS and has graduation in Engineering will be consider for this role as a ENTRY LEVEL candidate. (Training & Mentorship will be provided) Please note: Must be available to work in US EST time zone (7 PM IST to 4 AM IST) This is 100% REMOTE / Work from Home opportunity. 0-2 Years of Relevant Experience is required. Company Overview: Serigor Inc is a Maryland based, CMMI L3, Woman Owned Small Business (WOSB) specializing in IT Services, IT Staff Augmentation, Government Solutions and Global Delivery. Founded in 2009, we are a leading IT services firm that delivers deep expertise, objective insights, a tailored approach and unparalleled collaboration to help US government agencies and Fortune 500 companies confidently face the future while increasing the efficiency of their current operations. Our professional services primarily focus on ITS services portfolio including but not limited to Managed IT Services, Enterprise Application Development, Testing and Management Consulting, Salesforce, Cloud and Infrastructure Consulting, DevOps Consulting, Migration Consulting, Service Management, Custom Implementation and IT Operations & Maintenance, Remote Application & Infrastructure Monitoring and Management, Big Data as a Service, and Data Science Consulting practices. Role Overview: We are looking for a skilled and motivated AI Engineer. Key Responsibilities: Use AI models (like GPT or Claude) to extract useful information from documents. Convert plain English content into structured formats (like JSON, tables, or templates). Write and refine prompts to get consistent, accurate results from AI tools. Build simple tools or scripts to test and review AI outputs. Collaborate with other engineers to integrate AI-generated outputs into a working system. Keep track of where each output came from in the original document. Updated Required Skills & Qualifications: 0-2 years of experience in AI/ML , with focus on natural language processing or document analysis. Hands-on experience using large language models (LLMs) like GPT, Claude, or similar. Strong Python skills and familiarity with LangChain , spaCy , or Hugging Face . Experience with embeddings , chunking , and vectorization techniques for document processing. Knowledge of vector databases like FAISS, Chroma, Pinecone, or similar. Ability to design and run structured tests to evaluate AI outputs. Preferred: Experience with Retrieval-Augmented Generation (RAG) workflows. Exposure to compliance, regulatory, or legal documents . Familiarity with web APIs , data integration , or LLMOps pipelines .

We're looking for an experienced AI Solutions Engineer to join our team. You'll be instrumental in developing a system that uses advanced AI models to predict issues, diagnose problems, and even automate resolutions, significantly enhancing our network's reliability and performance. About the Role As an AI Solutions Engineer, you'll be a core member of our engineering team, responsible for the end-to-end development and operationalization of our AI Network Management Tool. This involves designing, implementing, and maintaining scalable data pipelines, integrating with various network systems and cloud services, and deploying sophisticated AI models. You'll work with large datasets, modern cloud technologies, and contribute directly to a platform that leverages Retrieval Augmented Generation (RAG) to provide intelligent insights and automation for network incidents. What You'll Do Design & Develop Scalable AI Solutions: Build and optimize the core architecture and components of the AI Network Management Tool on Microsoft Azure, focusing on data ingestion, processing, indexing, and AI model integration. Data Pipeline Engineering: Create robust and efficient data pipelines to collect, transform, and store network data and incident information from diverse sources. Database Management: Design, implement, and manage highly available and performant database solutions (both relational and NoSQL) for storing processed data and analytics. Azure Cloud Infrastructure: Provision, configure, and manage Azure cloud resources (e.g., Azure Functions, Azure Event Hubs, Azure Data Lake Storage, Azure Blob Storage, Azure AI Search, Azure OpenAI Service) using Infrastructure-as-Code (IaC) principles. DevOps & MLOps: Implement and maintain CI/CD pipelines for automated testing, deployment, and monitoring of AI models and application components within an Azure DevOps environment. AI Model Integration: Integrate and fine-tune Large Language Models (LLMs) from Azure OpenAI Service, including embedding models for vectorization and advanced LLMs (like GPT-4/GPT-4o) for incident analysis, natural language understanding, and response generation within a RAG framework. Problem Solving & Optimization: Troubleshoot and resolve complex technical issues, identify performance bottlenecks, and continuously optimize the platform for efficiency, scalability, and cost-effectiveness. What You'll Bring 5+ years of experience in software engineering or platform engineering, with a strong focus on building and deploying scalable solutions. Expert-level proficiency in Python for data manipulation, automation, and API integration. Strong experience with database technologies , including both relational databases (e.g., Azure SQL Database) and NoSQL databases (e.g., Azure Cosmos DB). Hands-on experience with Microsoft Azure Cloud services , including but not limited to Azure Functions, Azure Event Hubs, Azure Storage (Blob/Data Lake), Azure AI Search, and Azure OpenAI Service. Solid understanding and practical experience with DevOps principles and tools , particularly Azure DevOps (pipelines, repos) and Git for version control. Proven ability to work with large, complex datasets and unstructured text. Excellent problem-solving, analytical, and communication skills. Bonus Points Networking knowledge will be an added advantage. Experience with network protocols, device configurations (e.g., Cisco, Aruba), network monitoring tools (e.g., Splunk), or network automation concepts. Familiarity with Microsoft Copilot Studio or other chatbot development platforms. Experience with data visualization tools like Power BI.

Our client is a trusted global innovator of IT and business services, helping clients transform through consulting, industry solutions, business process services, digital & IT modernization, and managed services. They enable clients and society to move confidently into the digital future, committed to long-term success by combining global reach with local client attention in over 50 countries worldwide. The position available is for Container Security located in Bangalore, requiring a minimum of 8 years of experience. It is a Contract to Hire job with an immediate joiner's notice period. The Security Technology Engineering team collaborates with various Business Units and stakeholders to manage external and insider threat detection, mitigation, investigation, and response efforts globally. The Sr. Info Security Engineer participates in a global expert team developing technical solutions and advanced analytics for preventive threat detection. Responsibilities include working with Cyber Engineering, Operations, Architecture, and Global Infrastructure teams to deploy and operate a secure cloud application infrastructure aligned with cybersecurity strategic initiatives and business needs. Providing security direction to elevate the organization's security posture within a cloud computing environment is crucial for supporting business initiatives and delivering applications at scale with resiliency. The ideal candidate should possess advanced administrative and troubleshooting skills, along with knowledge of architecture, engineering, and design principles. They must have a minimum of 2-3 years of experience in security and systems administration across various cloud infrastructures like SaaS, IaaS, and PaaS. Proficiency in implementing industry-leading container security tools, leveraging cloud and container capabilities, is essential. The role demands self-starters with strong work ethic, analytical and critical thinking skills, and resourcefulness in a global virtual team environment. Effective verbal and written communication skills are vital for interfacing with other business units. Required qualifications include: - 5+ years of IT Technology experience - 2+ years of AI / ML experience with working knowledge in neural networks - 2+ years of data engineering experience, preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda - 2+ years of Python coding using numpy, vectorization, and TensorFlow - 2+ years of experience leading complex enterprise-wide integration programs as an individual contributor Preferred qualifications consist of a Mathematics or Physics degree, technical knowledge in cloud technologies like AWS, Azure, GCP, and excellent verbal, written, and interpersonal communication skills. The candidate should be capable of providing strong customer support.,