148412 Python Jobs - Page 16

General Information: Role Title: Industrial Engineer – Supply Chain Solutions Job Type: Full-Time Permanent Location: India (Bangalore) About Fulfillment IQ (FIQ) Fulfillment IQ is a Supply Chain Product Studio that supports brands, retailers, and 3PLs with bespoke solutions. We design, ship, and scale comprehensive supply chain-focused solutions. Our work spans strategy, platform build, optimization, scaling, and implementation. We are technology experts and innovators. We combine our strong domain knowledge with disciplined engineering mindset, innovative data analytics, AI and Cloud Ops with a keen focus on customer experience to build smarter processes, solutions and supply chains. We are at an inflection point in our growth curve and are looking for a Product Manager that can enhance and deliver our Supply Chain Technology Product Studio’s functional and technical roadmap in India. Position Summary: We are seeking a highly skilled and experienced Industrial Engineer with deep expertise in warehouse design, process simulation, and supply chain automation. This role is critical in helping us design innovative warehouse solutions for our clients, including greenfield and brownfield facilities, robotics and automation integration, and WMS implementation. Main Responsibilities: · Warehouse Layout & Design o Design new and retrofit layouts for distribution centers, fulfillment centers, cross-docks, etc. o Optimize space utilization, flow paths, storage strategies, and racking systems. · Simulation & Modelling o Use FlexSim or equivalent tools to model warehouse processes, simulate throughput, bottlenecks, labor productivity, and automation ROI. o Run sensitivity and what-if analyses to guide data-driven decision making. · Tools & Documentation o Create detailed engineering drawings using AutoCAD, Revit, or similar tools. o Work closely with architecture and construction teams during design reviews. · Automation & Robotics Integration o Evaluate and recommend appropriate warehouse robotics (AGVs, AMRs, sorters, pick-assist, etc.). o Partner with robotics vendors and internal teams to develop automation roadmaps and deployment strategies. · WMS & Tech Enablement o Collaborate with tech teams and clients on WMS selection, configuration, and process mapping. o Document warehouse process flows and ensure alignment with WMS capabilities. · Client Engagement & Collaboration o Participate in discovery workshops, site visits, and client calls to gather requirements and present recommendations. o Create executive-level presentations and engineering documents. Experience and Qualifications: · Bachelor's degree in Industrial Engineering, Supply Chain Engineering, or related field. · 4–6 years of experience in warehouse design and supply chain projects, preferably in consulting or solutioning environments. · Strong proficiency with FlexSim, AutoCAD, and Revit. · Solid understanding of WMS systems and warehouse processes (inbound, outbound, picking, slotting, returns, inventory). · Experience with warehouse automation and robotics, either from implementation or vendor evaluation side. · Excellent analytical, problem-solving, and communication skills. · Ability to work in a fast-paced, global client-facing environment. Nice to Have · Exposure to data analysis tools (Excel, Power BI, Python, etc.) · Familiarity with warehouse IoT, vision systems, or ML-driven optimization. · Prior experience working with US-based logistics or eCommerce clients.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Years of Experience: Candidates with 15+ years of hands on experience Must Have Familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data to train Conversational AI systems In-depth knowledge of CCaaS platforms like NiceCX, Genesys, Cisco etc., including their architecture, functionalities, and integration capabilities Familiarity with contact center metrics, such as average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) Familiarity with sentiment analysis, topic modeling, and text classification techniques Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics NLU Verticals Expertise: ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI Apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms, enhancing contact center performance. Nice To Have Proficiency in programming languages such as Python/Pyspark/R/SQL Strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling Skilled in techniques like regression analysis, time series forecasting, clustering and NLP techniques Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA). Understanding of ethical considerations in data science and responsible AI practices. Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

About PwC: PricewaterhouseCoopers (PwC) is a leading global consulting firm. For more than 160 years, PwC has worked to build trust in society and solve important problems for clients and the communities in which we live and work. Today we have more than 276,000 people across 157 countries working towards this goal. The US Advisory Bangalore Acceleration Center is a natural extension of our United States based consulting capabilities, providing support to a broad range of practice teams. Our US-owned ACs are fully integrated into our client facing teams and are key to PwC's success in the marketplace. Job Summary: At PwC, we are betting big on data, analytics, and a digital revolution to transform the way deals are done. Analytics is increasingly a major driver of competitive advantages in deal-making, and value creation for private equity owned portfolio companies. PwC brings data-driven insights through advanced techniques to help clients make better strategic decisions, uncover value, and improve returns on their investments. The PwC Deal Analytics & Value Creation practice is a blend of deals and consulting professionals with diverse skills and backgrounds, including financial, commercial, operational, and data science. We support private equity and corporate clients across all phases of the deal lifecycle, including diligence, post-deal, and preparation for exit/divestiture. Our data-driven approach delivers insights in diligence at deal speed, works with clients to improve performance post-deal, and brings a commercial insights lens through third-party and alternative data to help inform decisions. A career in our fast-paced deal analytics practice, a business unit within the PwC deals platform, will allow you to work with top private equity and corporate clients across all sectors on complex and dynamic multi-billion-dollar decisions. Each client, deal, and situation is unique, and the ability to translate data into actionable insights for our clients is crucial to our continued success. Job Description As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of your comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognize their strengths, and encourage them to take ownership of their personal development. Analyze complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarizing key points. Uphold the firm's code of ethics and business conduct. Preferred Fields Of Study/Experience Master's degree from a reputed institute in Data Science, Data Analytics, Finance, Accounting, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Mathematics A total of 7-10 years of work experience in analytics consulting and/or transaction services with top consulting organizations Preferred Knowledge/Skills Our team is a blend of deals and consulting professionals with an ability to work with data and teams across our practice to bring targeted commercial and operational insights through industry-specific experience and cutting-edge techniques. We are looking for individuals who demonstrate knowledge and a proven record of success in one or both of the following areas: #### Business Experience leading high-performing teams preferably in data analytics, consulting, and/or private equity Experience working with business frameworks to analyze markets and assess company position and performance Experience working with alternative data and market data sets to draw insight on competitive positioning and company performance Deep understanding of financial statements, business cycles (revenue, supply chain, etc.), business diligence, financial modeling, valuation, etc. Experience leading projects in a dynamic, collaborative environment and working under time-sensitive client deadlines Strong communication and proven presentation skills Understanding of various facets of mergers, integrations, spin-offs and/or divestiture transactions, including options analyses and recommendations Experience assisting clients with strategic planning and business reviews; growth, market entry and international expansion; and market opportunity sizing Experience that cuts across the entire Deals Cycle #### Technical High degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions Ability to synthesize insights and recommendations into a tight and cohesive presentation to clients Proven track record of data extraction/transformation, analytics, and visualization approaches and a high degree of data fluency Proven skills in the following preferred: Alteryx, Python, Advanced Excel, PowerBI (including visualization and DAX) Experience working on GenAI / large language models (LLMs) is a good to have Experience in big data and machine learning concepts Strong track record with leveraging data and business intelligence software to turn data into insights Experience working with relational databases / data models #### Value Creation Elements Experience in developing comprehensive value creation plans for private equity portfolio companies Ability to draw on strategic, operational, organizational, and technology experience to deliver actionable advice Experience in pre-acquisition operations due diligence and product & technology due diligence Experience in post-acquisition growth strategy, operations strategy, technology strategy, business transformation, and M&A operations Ability to collect and utilize relevant business and industry trend information and analyze this information effectively by applying numerical and strategic analysis techniques

Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! Who Are We? Bottomline is on a mission to be the world’s leading business payments company, aligning our team to the common purpose of transforming the way businesses pay and get paid. It is a journey that goes around the world serving financial institutions and companies in more than 90 countries. Our offices across APAC are conveniently positioned to optimize our global reach. Sydney, Singapore, Bangalore, and Mumbai have state-of-the-art flexible workspaces, which truly reflect our energetic, innovative culture and mission to push the boundaries of the business payments space. Culture and Values We are one global team, who work with and for each other in a drive to delight customers through excellent execution, which fuels how we create and grow sustained business value for our customers, our team and all who partner with us. Our culture encourages people to be brave and curious, to drive to closure and to ensure our principles are lived out daily. We excel at Bottomline because we are positive and passionate about building a Role We are looking for an awesome Devops Engineer! As part of the leading Banking Enterprise , you will work on major projects that are strategic for our customers which will allow you to develop Strong Technical and professional skills. We are also on the complete transformation and migration to new GitLab CI/CD pipelines, deployment using HELM charts on Kubernetes. How You Will Contribute Implement orchestration solution using tools like K8s, ArgoCD, HelmCharts. Create and Automate CI/CD Gitlab for new applications and Jenkins Pipelines to automate existing application. Deploy and maintain infrastructure automation and configuration management tools like Terraform. Support, manage, improve, and upgrade a continuous deployment environment. Implement and improve monitoring and alerting solutions. What Will Make You Successful Degree in a Computer Science 2-4 years of previous DevOps experience Experience in Docker & Kubernetes (Helm) Experience with GitOps methodology and tools (Flux or ArgoCD) Experience with Configuration Management and infrastructure as code platforms (Puppet/Ansible/Terraform) Experience with implementing and maintaining CI/CD pipelines (Jenkins or GitLab) Experience with Elastic Stack or OpenSearch Stack and ELK. Experience with Prometheus + Grafana Programming skills and knowledge of at least one language (Bash, Python, Java or similar) Experience with Linux Proficient with Git and Git workflow Ability to work effectively within a team and with minimal supervision. Excellent communication (written and oral), documentation and organizational skills Background knowledge in Databases (Oracle & PostgreSQL) Experience with: Kafka, Spring boot, AWS - advantage Bottomline is at the forefront of digital transformation. We are a growing global market leader uniquely equipped to address the changing needs of how businesses pay and get paid. Our culture of working with and for each other enables us to delight our customers. We empower our teams to think like owners driving customer delight, helping them grow their business and win in their markets. Start your . We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.

About The Role This role presents an exciting opportunity to be a part of Swiss Re's distinguished international research team. Here you'll actively engage in analyzing global natural catastrophe events, associated losses, and the implications of climate change on global re/insurance business. Your research will directly support Swiss Re's business strategy and enhance client engagement. This position serves as an exceptional platform for professional growth, providing frequent interactions with senior management and collaboration with diverse teams across the organization. Expect a dynamic work environment where you'll need to demonstrate flexibility, adaptability, and independent initiative daily. Key tasks and responsibilities include: Collect, curate and analyze large data sets to support research projects related to quantifying and modelling the impact of natural catastrophes, climate change on economy and business. Keeping track on daily basis of natural catastrophe related developments and insights and translating them into re/insurance impact and themes Contribute to Swiss Re's thought-leadership publications (e.g. sigma, expertise publications, risk insights, etc) by writing pieces or providing ad-hoc support Contribute to ad-hoc projects and activities related to natural catastrophe topics; as well as topics around (but not limited to) industry/segment analysis, market analysis, product analysis and other areas of interest to Swiss Re when required Preparing high-quality and visually appealing slide decks and presenting findings to internal and external stakeholders (e.g. preparing briefing materials for senior executives, media events, presenting research outcomes at an industry conference, etc.) Carrying out assigned responsibilities with minimal direct supervision, and demonstrating good inter-personal and collaboration skills to generate a workflow of projects from Swiss Re’s business units Support Group Chief Economist, Head of Insurance Market, Catastrophe Data Analyst and the Line Manager in India on global research projects in collaboration with Swiss Re Institute global hubs as well as different internal/external stakeholders About You Good understanding of natural perils and their interaction with physical world, and impact on assets, people and organisations. An advanced degree in the field of engineering/atmospheric science/economics/statistics, or insurance. Minimum three years of experience in quantitative modelling, economic/insurance research and climate/sustainability research. Experience in insurance industry, catastrophe risk modelling and industry certifications would be an added advantage. Intermediate to advanced programming skills in one or more major statistical software/programming languages such as R, Stata, Matlab, Python is a must. Excellent command over written and oral English with experience/interest in writing reports on topics related to natural perils and their impact on the industry. Strong attention to detail, quality and accuracy of data and data analytics. Willingness to learn about insurance/reinsurance. About The Team Insurance Market Analysis is part of Swiss Re Institute and responsible for analysing and forecasting the global macroeconomic and insurance market environment. Swiss Re Institute is responsible for Swiss Re's flagship sigma publication series and holds a crucial role in steering Swiss Re's capital allocation for both sides of the balance sheet. The team also drives thought leadership on topics of strategic importance for the Group and helps shaping the policy dialogue and outcome. Swiss Re Institute is highly visible and interacts with a wide variety of key partners and decision makers across the organization and externally. We are a truly global team located in Zurich, Bratislava, New York, Bangalore, Hong Kong and Beijing and collaborate closely with all of Swiss Re's re/insurance business units and Group functions. Swiss Re embraces diversity and equal opportunity. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. We further collaborate in a flexible working environment, providing all of our employees with a compelling degree of autonomy to decide how, when and where we work most effectively. About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords Reference Code: 134462

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Specialist Tower: Data Analytics & Insights Managed Service Experience: 0.6 - 2.0 years Key Skills: BI Engineering Educational Qualification: Bachelor's degree in computer science/IT or relevant field Work Location: Bangalore, India Job Description As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy, and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good Team player. Take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Primary Skill: Tableau, Visualization, Excel Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advance Excel, Excel Macro BI Engineer: Should have minimum 1 year’s hand on experience building advanced Data Analytics Should have minimum 1 years’ hands on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets) Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modeling, Data scientists etc. Should have experience in building efficient Data analytics by using leading industry tools like Python, SQL, Spark, etc. Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools. Should have good knowledge of Data consumption patterns and BI tools like Tableau, Qlik sense, Power BI etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Certifications in Tableau and other BI tools is an added advantage. Certification in any cloud platform

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Title: AI/ML Associate Location : Bangalore (Hybrid) Department : Managed Services – Core Automation Team Job Overview We are seeking an experienced AI/ML Senior Associate to join our team focused on leveraging AI technologies to enhance operational efficiency in SAP managed services. The ideal candidate will have strong programming expertise in Python and hands-on experience in building AI solutions using market-leading large language models (LLMs) , as well as native cloud services (primarily AWS or Azure AI services ). Your role will center on developing intelligent solutions that automate processes, integrate AI models, and improve overall system performance within SAP environments. Key Responsibilities Design and implement AI solutions using Python and market-leading LLMs to drive automation and improve operational efficiency within SAP-managed services. Develop and integrate AI-powered applications using native AWS services (e.g., AWS Lex, AWS Lambda, Amazon Polly) or Azure AI services, focusing on process optimization and automation. Build and deploy conversational bots and AI-powered tools to support business processes in SAP environments, integrating AWS Lex, AWS Connect, or Azure Bot Services with existing systems. Leverage Python programming for building, testing, and deploying AI models, APIs, and automation workflows to enhance SAP system reliability and performance. Collaborate with cross-functional teams to integrate AI solutions with DevOps pipelines and ensure smooth deployments using CI/CD tools and cloud-native infrastructure. Design and manage serverless applications using AWS Lambda or Azure Functions to handle AI/ML workloads with scalability and high performance. Work with RESTful or GraphQL APIs to enable AI services, ensuring high standards for performance, security, and seamless integration with SAP systems. Contribute to the development of AI models, focusing on using LLMs for natural language understanding, predictive analytics, and automated decision-making. Collaborate with DevOps and integration teams to integrate AI solutions into SAP processes, ensuring end-to-end service excellence and operational success. Required Skills And Qualifications Minimum 2 years of experience in AI/ML development, focusing on Python programming and AI model development. Proven experience with Python for building AI solutions, API development, and automation. Hands-on experience with market-leading LLMs (e.g., OpenAI GPT, Google BERT, or similar) and applying these models in business process automation and optimization. Experience with AWS or Azure AI services, such as AWS Lex, AWS Lambda, Azure Cognitive Services, and Azure Bot Services (AWS expertise is preferred but Azure experience is also acceptable). Experience building and deploying conversational bots and IVR systems using AWS Lex or Azure Bot Services. Strong understanding of serverless architectures and cloud-native technologies such as AWS Lambda or Azure Functions. Experience with RESTful or GraphQL API design for seamless integration of AI models into business processes. DevOps background, with hands-on experience in CI/CD pipelines, containerization, and cloud deployment practices using AWS DevOps tools or Azure DevOps. Collaborative mindset with the ability to work cross-functionally with DevOps, integration, and automation teams to drive project success. Desired Skills And Qualifications Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and the ability to develop and fine-tune AI models. Knowledge of Agile methodologies for project management and team collaboration. Strong problem-solving skills, with the ability to troubleshoot and optimize AI models and cloud integrations. Certifications in AWS AI, Azure AI, or related AI/ML technologies are a plus. Experience Requirements A minimum of 2 years of experience in AI/ML, with expertise in Python, AI model development, and cloud-native AI services (AWS or Azure). Proven ability to design and deploy AI solutions using LLMs, serverless architectures, and cloud-based AI services. Education Requirements Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Relevant AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Fundamentals) are a plus. Work Environment Collaborative and dynamic team environment with an opportunity to work on cutting-edge AI/ML projects. Hybrid working model with a base in Bangalore, offering flexibility in working from the office and remotely. Cross-functional collaboration with DevOps, automation, and integration teams.

About The Opportunity We are a fast-growing innovator in the AI & Machine Learning sector, delivering enterprise-grade predictive analytics and intelligent automation solutions. Our team designs, trains, and scales ML models that drive real-time insights and decision-making across diverse industries. Join us on-site in India to build the next generation of data-driven products. Role & Responsibilities Design and implement end-to-end ML pipelines: data ingestion, preprocessing, training, deployment, and monitoring. Develop and fine-tune machine learning models (classification, regression, clustering) using Python frameworks like scikit-learn, TensorFlow, or PyTorch. Collaborate cross-functionally with Data Engineers, Data Scientists, and Product teams to translate business requirements into scalable ML solutions. Deploy and manage models in production on cloud platforms (AWS/Azure/GCP) leveraging containerization (Docker) and orchestration (Kubernetes). Monitor model performance, detect drift, and automate retraining workflows to maintain accuracy and reliability. Maintain code quality and reproducibility: version control (Git), CI/CD pipelines, documentation, and best practices for ML development. Skills & Qualifications Must-Have Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related field. 2+ years hands-on experience building and deploying ML models in production. Proficiency in Python and core ML libraries: scikit-learn, TensorFlow, PyTorch. Strong understanding of statistics, feature engineering, and model evaluation techniques. Experience with SQL/NoSQL databases and data processing tools (Pandas, Spark). Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) and containerization (Docker). Preferred Hands-on with Kubernetes or other orchestration tools for scalable deployments. Experience in NLP, computer vision, or time-series forecasting projects. Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow) for automated pipelines. Exposure to model interpretability methods (SHAP, LIME) and A/B testing in production. Benefits & Culture Highlights Competitive compensation with performance-linked bonuses. Collaborative, inclusive on-site culture fostering continuous learning and innovation. Regular team workshops, hackathons, and professional development support. Skills: kubernetes,aws,azure,ai/ml,pytorch,nosql,spark,sql,gcp,gen ai,feature engineering,python,scikit-learn,pandas,apache spark,machine learning algorithms,tensorflow,docker

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience with privacy-preserving technologies and data regulations. Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM). About The Job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Responsibilities Driving business growth and help the team to empower advertisers with the tools and insights they need to navigate the evolving digital advertising landscape. Develop quantitative models and frameworks to assess the business opportunity associated with improvements in attribution, incrementality testing, full-funnel measurement, and online-to-offline (O2O) measurement. Quantify the impact of data deprecation and regulatory changes on Ads performance. Develop metrics to track the effectiveness of the mitigation strategies and data durability initiatives. Define success metrics for the efforts to create a unified measurement platform. Analyze the impact of closing measurement gaps and enhance the customer value proposition. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

🚀 Why Headout? We're a rocketship: 9-figure revenue, record growth, and profitable With $130M in revenue, guests in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel industry, and we're just getting started. We've raised $60M+ from top-tier investors and are building a durable company for the long term — because that's what our mission needs and deserves. We're growing, profitable and nowhere near done. What we do is important In an increasingly digital world, there is a desperate need to augment our human experience by getting us to interact with the real world around us and the people in it. At Headout, our mission is to be the easiest, fastest, and most delightful way to head out to a real-life experience — from immersive tours to museums to live events and everything in between. Why now? The foundation is strong. The opportunity ahead is even bigger. We've hit profitability, built momentum, and proven the model — but there's so much more to build. If you're looking to join a company where the trajectory is steep and your impact is real, this is the moment. Our culture Reinventing the travel industry isn't easy, but that's the fun part. We care deeply about ownership, craft, and impact, and we're here to do the best work of our careers. We won't pretend like it's for everyone but if you're a builder who loves solving tough problems, you'll feel right at home. Read more about our unique values here: https://bit.ly/HeadoutPlaybook 👩‍💻 The role As Senior Data Analyst for the Product Data team, you will play a pivotal role in harnessing the power of data to enhance our product offerings. At Headout, we firmly believe in data-driven decision making. Collaborating closely with multifaceted teams across the organization, our data team diligently crafts business insights and actionable strategies. Your analytical expertise and ability to communicate findings effectively will be crucial in driving our user experience and business objectives 🤩 What makes this role special? Data-Driven Innovation: Be the bridge between raw data and revolutionary product decisions. Your models and insights will shape the future of travel tech, making exploration more accessible and delightful for millions. Scale and Complexity: Tackle fascinating analytical challenges at scale. From seasonality patterns in 100+ cities to user behavior across dozens of languages, the depth and breadth of our data is a playground for the intellectually curious. Growth Trajectory: Join a rapidly expanding team in a high-growth industry. As we push into new markets and verticals, you'll have the opportunity to grow your skills, influence, and career trajectory alongside the company. Global Impact: Your work will directly influence a product used by adventurers and culture enthusiasts across 190+ countries. Your insights could spark someone's life-changing holiday in Bali or their dream Broadway experience in New York. Cultural Mosaic: Collaborate with a diverse, distributed team spanning multiple countries. Bring your unique perspective to a truly global product while learning from colleagues with varied cultural backgrounds. Tech Stack Nirvana: Leverage state-of-the-art tools and technologies. Our data infrastructure is built for the modern analyst, allowing you to spend less time wrangling data and more time deriving actionable insights. 💝 What skills & experience do you need? You have a minimum 1.5 years of experience in product analytics, preferably in a high growth startup The transformation of raw data into actionable insights is your forte. Proficiency in SQL is a must, Python/R is optional but preferable You have a solid understanding of statistical analysis and A/B testing methodologies You possess a commercial acumen that translates numbers into impactful business strategies Your expertise extends to synergizing with senior stakeholders and product teams, ensuring harmony in decision-making. EEO statement At Headout, we don't just accept differences — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our partners, and the community at large. Headout provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. During the interview process, if you need assistance or an accommodation due to a disability, you may contact the recruiter assigned to your application or email us at life@headout.com. Privacy policy Please note that once you apply for this job profile your personal data will be retained for a period of one (1) year. Headout shall process this data for recruitment purposes only. Once the relevant job profile is filled or once the time period of one (1) year from the date of the job application has passed, whichever is later, Headout shall either delete your data or inform you that it shall keep it in its database for future roles. In compliance with the relevant privacy laws, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.

Job Description At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities. Asset & Wealth Management About Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors , spanning traditional and alternative markets offering products and services Advisors , understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders , providing timely insights across macro and secular themes to help inform our clients’ investment decisions Innovators , using our suite of digital solutions to help our clients address complex challenges and meet their financial goals Goldman Sachs Asset Management’s Quantitative Investment Strategies (QIS) team manages over $95 billion across a variety of mandates including institutional portfolios, high net worth accounts and mutual funds, using sophisticated quantitative models that have been developed in an innovative research environment. The team is one of the largest quantitative managers in the world, and is recognized as an industry leader in quantitative portfolio management techniques. The team manages exposures to global stock, bond, currency and commodity markets to generate excess return, or “alpha,” for client portfolios. As one of the longest-running quantitative teams in the industry, QIS has developed a strong reputation for innovation, excellence, teamwork and camaraderie. Our team of client portfolio managers works closely with portfolios managers, salespeople, financial advisors and clients to position our strategies, develop and create marketing materials and campaigns and answer and address client questions and requests. Team members are product experts who serve as points of contact for advisor and client communication to offer advice and education. Responsibilities also include conducting quantitative research and analysis, developing digital tools, and collaborating on new investment strategies. Our team is energized by leveraging technology to create scale and customization across our entire business and deliver an excellent client experience with industry leading investment solutions and performance. Our team welcomes individuals who thrive in fast-paced environments with strong quantitative and qualitative skills while demonstrating interest in portfolio management and client collaboration. All team members are expected to stay fully engaged with the ongoing research and trading developments of the business in order to more effectively communicate to internal clients and to enhance client deliverables such as client portfolio reviews. Team members should have a quantitative orientation and be comfortable with numbers/statistics, and at the same time possess excellent communication skills, both written and verbal. Team members will also gain a broad-based understanding of the asset management business and hedge fund industry through interacting with a variety of teams and clients across the division. Job Responsibilities Create marketing content by leveraging our suite of quantitative analytics Devise scalable, automated solutions to prepare, update, and enhance our marketing collateral Working with ETF Teams to prepare marketing materials and support client requests for QIS ETFs. Conduct client-specific analysis focused on raising and retaining assets within the business Work closely with the investment team to gain investment insight to be used in our marketing collateral and identify and research custom client solutions. Analysis including data exploration, backtests, carve-outs, performance attribution, competitive analyses, peer group analyses and overall market research. Serve as product expert on Quantitative investment strategies to both internal and external clients, preparing performance reports, performance commentaries, client request for proposals and client due diligence questionnaires Conduct competitive analyses, peer group analyses and overall market research for our strategies Thrive in a fast-paced environment, balancing multiple projects in parallel Basic Qualifications Quantitative orientation; finance and statistics knowledge; Experience and background with quantitative investment strategies preferable Excellent verbal, presentation and written communication skills Computer programming background or experience (experience with a programming language such as C / C++, Java, Python, R, and/or MATLAB) Strong multi-tasking skills and ability to work in a fast-paced environment Thrives in a team-oriented and collaborative environment Strong interest in the financial markets and good investment sense/commercial instinct Outstanding attention to detail Organized and deadline driven. Disciplined approach to following up, timeliness, and seeing projects through to completion. Strong PowerPoint and Excel skills Creativity and problem-solving skills About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Roles And Responsibilities Design and iterate on prompts for LLM-based features (e.g., summarization, classification, extraction, data transformation, etc.). Conduct rapid experiments to evaluate and compare model outputs across - different prompt structures. Analyze prompt performance using accuracy, relevancy, and consistency benchmarks. Collaborate with product managers, engineers, and QA to integrate prompt workflows into production environments. Maintain and organize prompt libraries and performance benchmarks for reuse and refinement. Stay up to date with the latest advancements in prompting techniques, prompt tuning, and LLM capabilities. Contribute to prompt evaluation frameworks or internal tooling where needed. Requirements Strong written communication skills and attention to detail. Demonstrated interest in AI, natural language processing, or large language models (via coursework, side projects, or prior experience). Comfortable with basic programming in Python or JavaScript to run tests or evaluate outputs. Ability to think critically, analyze outputs, and refine instructions based on results. Comfortable reading and understanding product requirements or user problems, and translating them into prompt logic. Good to Have Familiarity with tools like OpenAI GPT, Claude, Gemini, LangChain, or LlamaIndex. Experience working with REST APIs or building simple scripts to automate tasks. Background in linguistics, cognitive science, computer science, or related fields. Experience working with vector search, embeddings, or retrieval-augmented generation (RAG). 

Description Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes. We have built a highly respected software engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network. Ship With Amazon tech team in Hyderabad is looking for a System Dev Engineer who will work alongside tech and product team. SysDev Engineer will be specializing in Tech and OE frameworks used within SWA tech teams. Primary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing monitoring solutions, performing software maintenance and scaling, implementing the fix for internally developed code, performing SQL queries, updating, tracking and resolving technical challenges. Responsibilities also include working alongside development on DA-LCM team software projects, updating/enhancing our current software, automation of support processes and documentation of our systems. The ideal candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, able to juggle multiple tasks at once, able to work independently and can maintain professionalism under pressure. You must be able to identify problems before they happen and implement solutions that detect and prevent outages. You must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done. Key job responsibilities As a System Development Engineer You Will Play vital role in helping us leverage supporting and developing technologies on any platform to increase global collaboration, increase efficiency. Directly work with development team to improve the applications built by conducting technical mitigations and deep dives on reported issues to find the cause and corrective actions. Work on proactive detection mechanism to report dip in software performance by building efficient metrics/monitors/alarms using our in house tools. Build tools and automation to optimize the system, simplify processes, etc. Basic Qualifications Experience in automating, deploying, and supporting infrastructure Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust Experience with Linux/Unix Preferred Qualifications Experience with CI/CD pipelines build processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3055436

Duties & Responsibilities Provides coaching and mentoring to members of the Data Analytics team Responsible for development of analytics product packages as driven by Epicor product roadmap or customer contracts with key a focus on matching the final user experience to a business user case Performs research, analysis, and modeling on organizational data and has primary responsibility for the front-end analytics user experience Participates in cross functional analytics product teams including DW engineers, ETL software engineers, data sciences engineers, data production staff, aftermarket industry SMEs, and also directly engages customers to orchestrate the final analytics solution Investigates and integrates analytics technology and new data sources to keep our analytics solutions current in the fast evolving analytics market space Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making Partners with product operations managers and staff in developing and delivering high analytics availability and performance to meet or exceed customer contract service levels. Knowledge, Skills & Abilities Oral and written communication skills Problem/situation analysis on complex issues Ability to identify and seek needed information/research skills Analytical thinking skills, statistical knowledge, technical expertise and mathematical skills Experience using SQL and Python to analyze large datasets Advanced knowledge in one or more analytics front end toolsets such as such as Microstrategy, PowerBI, or Tableau Background and experience in medium to large IT initiatives leveraging formalized requirements, agile/iterative development methods, and formalized change management processes Creative, flexible, and collaborative in approach to technical problem solving and data driven design Experience using SQL to analyze large datasets Exposure to database modeling and data warehousing principles Experience implementing data science routines in R and/or Python Experience using data visualization and high volume BI tools such as Tableau and MicroStrategy AI/ML Saas #Databricks #Azure Qualifications 6+ years experience and demonstrated success/knowledge in building, deploying, and supporting large scale analytics solutions 2+ years of Applied analytics experience Bachelor’s degree computer science/statistics or related field (or equivalent experience) About Epicor At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs. Competitive Pay & Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being. Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. Global Mobility: Comprehensive support for international relocations and permanent residency processes. Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer. Recruiter Zeba Bahzad Khazi

We’re looking for a “Security Engineer” with a tech-first mindset that can help grow and enhance Nordstrom’s Cybersecurity and Privacy Organization. We work to make technology the easiest part of our internal customers’ jobs. This position will enable process clarity and efficiency and create new insights empowering Nordstrom for decades to come. As an Engineer supporting our Governance, Risk, and Compliance (GRC) platform, you will play a crucial role in enhancing and maintaining our GRC infrastructure. Your technical expertise will ensure the efficiency, automation, and seamless operation of our GRC systems. You will help empower Nordstrom's internal teams to achieve their best work through robust, stable, and innovative solutions. Does the challenge of connecting systems to understand risk and compliance at an enterprise scale energize you? Does the idea of empowering teams through automation and data centralization sound intriguing? Do you want to build cool stuff and watch the programs you support excel? If so, join our team and be part of a company that is at the cutting edge of retail technology, dedicated to delivering the products consumers love in a safe and secure environment. Responsibilities: Design, deploy, manage, and improve critical security infrastructure services/tools, including those for authentication and authorization, PKI, secrets management, logging, detection, vulnerability management, and more. Develop and enhance our GRC platform, ensuring it meets evolving security needs. Maintain robust system connectivity by ensuring comprehensive logging, monitoring/auditing, and management of security events for clear visibility. Oversee workflow management to streamline and enhance security processes, ensuring efficient and effective handling of security operations and incident response. Collaborate with both internal and external partners on all platform designs. Continuously validate technology and processes to ensure alignment with our cyber strategy, risk management, and governance frameworks. Operate within an Agile or Kanban sprint framework. Prepare and maintain security documentation, including diagrams, standard build documents, and best practice procedures. Requirements: A bachelor’s degree in computer science, Engineering, or a related field, or equivalent education and experience. At least 5-7 years of experience in a security or technical engineering role. A minimum of 5-7 years of experience supporting engineering platforms. At least 5-7 years of experience with scripting and automation tools; certifications in Linux, Microsoft, or other network-related fields are preferred. A minimum of 5-7 years working in agile development methodologies. Proven ability to manage and track multiple projects and deliverables simultaneously. Strong knowledge of systems and networking software, hardware, and networking protocols. A minimum of 5-7 years’ experience with scripting and automation tools. Experience with coding languages such as Python, or Java. A minimum of 5-7 years’ experience coding languages such as Python, or Java. Experience with Onspring, Archer or other similar GRC platforms. Preferred Qualifications: High-level understanding of a broad range of security topics, such as networking, cloud security, secure software, cryptography; CISSP or equivalent is a plus. Experience with industry/regulatory security compliance frameworks such as SOX, PCI DSS, NIST SP800-53 is a plus. System administration and IT certifications in Linux, Microsoft, or other network-related fields are a plus. Experience with AI prompt engineering and a solid understanding of underlying AI models and mechanics

AWS Developer (Python/PySpark) Job Overview We are seeking an experienced AWS Developer proficient in Python and PySpark to design, develop, and maintain scalable, serverless data processing and workflow automation solutions on AWS. The ideal candidate will build Lambda functions, Step Functions, Glue ETL jobs, and integrate various AWS services to support complex data pipelines and backend logic. Key Responsibilities Develop, deploy, and maintain AWS Lambda functions using Python to implement backend logic, file transformations, API integrations, and event-driven triggers from S3, EventBridge, DynamoDB, and SNS. Implement robust error handling, retry mechanisms, timeout management, and custom logging within Lambda functions to ensure resilience and observability. Design and manage AWS Step Functions to orchestrate complex workflows that involve multiple Lambda functions, AWS Glue jobs, and external API calls. Configure parallel executions, error states, and conditional branches within Step Functions to optimize workflow reliability and efficiency. Integrate Step Functions with external systems and AWS services such as SNS and EventBridge using native service integrations. Develop and maintain AWS Glue jobs and PySpark scripts for batch ETL processes, data transformations, and format conversions (e.g., JSON to CSV). Utilize Glue Crawlers to automate metadata cataloging and manage datasets within the AWS Glue Data Catalog. Perform data processing workflows moving data from raw to enriched states using AWS Glue, S3, RDS, DynamoDB, Athena, and other services as required. Collaborate with cross-functional teams to implement scalable data solutions and troubleshoot production issues. AWS Services Experience AWS Glue (jobs, crawlers, Data Catalog) AWS Lambda AWS Step Functions Amazon S3 Amazon EventBridge Amazon SNS & SQS Amazon DynamoDB Amazon Athena Amazon RDS (SQL Server) Amazon EC2, EKS, Network Load Balancer (NLB) Required Skills & Qualifications Strong proficiency in Python and PySpark programming for data processing and ETL development. Solid understanding of core programming concepts, including error handling, retry logic, and asynchronous workflows. Hands-on experience developing serverless applications using AWS Lambda and related services. Experience building and orchestrating complex workflows using AWS Step Functions. Expertise in creating and managing AWS Glue ETL pipelines, including writing Glue scripts in PySpark and Python shell jobs. Familiarity with AWS data services like S3, DynamoDB, Athena, and RDS for storage and querying. Ability to design scalable, fault-tolerant, and maintainable cloud-native data solutions. Experience working in Agile environments and collaborating with technical and business stakeholders Interested candidates are invited to submit their resumes and a cover letter detailing their relevant experience and why they are a great fit for this role. Feel free to customize this template to better fit your specific needs and company culture! If you need any further adjustments or additional details, just let me know. Matrix Global Services is a leading multinational corporation that provides innovative and comprehensive solutions in technology, consulting, and outsourcing. With a history of over 30 years, Matrix has established itself as a trusted partner for businesses across various industries, consistently delivering exceptional results. We're a network of firms in 10+ countries with over 13,000 people. At Matrix, we pride ourselves on our commitment to excellence and our ability to adapt to the ever-changing needs of our clients. Our team of highly skilled professionals is adept at understanding complex business challenges and tailoring solutions that drive sustainable growth and profitability. Our wide range of services includes cutting-edge technology solution services, strategic consulting, digital transformation, cloud computing, cybersecurity, and managed services. Whether it's developing customized software applications, streamlining business processes, implementing robust IT infrastructure, or managing complex projects, our expertise and industry knowledge enable us to deliver value-added solutions that meet each client's unique requirements. Come and join a winning team! You'll be challenged, have fun, and be a part of a highly respected organization! Matrix offers a competitive base salary and a full benefit package. Benefits include medical, dental, 401K, STD, HSA, PTO, and more. EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

A career within Actuarial Services, will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third party administrators. You’ll provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modelling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyse the impact that new regulation will have on an insurance company’s balance sheet or you could be revising businesses’ projections and making sure they have adequate reserves. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models). Utilize machine learning models including XGBoost, random forests, and support vector machines. During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin. Experience with programming languages and environments such as Python, R, Databricks, and React. Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration. Design, develop, and deploy AI models in real-world client and business environments. Monitor and research emerging AI trends, fostering an agile, forward-looking development environment. Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making. Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders. Work with cross-functional teams—data engineers, architects, and data scientists—to deliver efficient, high-quality solutions aligned with client needs. Support business development efforts, including the technical sales cycles and the client proposal process. Support the development of internal GenAI assets and foundational capabilities to grow the firm’s practice. Qualifications Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have A master's degree or PhD in a related field from a premium institute is preferred but is not required. Min years of Experience Requirement (Credential) - 3-4 years

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Job Overview Do you have a passion for quality, technology, and education? Then, you would be the perfect fit as our next Curriculum Quality Associate! The Curriculum Quality Associate is the guardian of our educational content, ensuring excellence across interactive lessons and video-based courses. This role involves comprehensive quality oversight of our expansive content catalog, maintaining accuracy and effectiveness standards that drive learner success. As a frontline quality advocate, the Curriculum Quality Associate conducts thorough content audits, addresses user feedback, and upholds our rigorous pedagogical and editorial standards. Working closely with Technology Content Developers, the Curriculum Quality Associate plays a critical role in certifying and delivering exceptional learner experiences. Job Responsibilities Conduct comprehensive pre-release QA on content to ensure accuracy and effectiveness before learner access. Perform thorough Quality Assurance checks for content in production, including fixing small errors and providing detailed feedback to the production team. Assess technical accuracy and identify issues across multiple programming languages and frameworks to maintain high-quality standards. Review content for editorial and grammatical issues with a strong grasp of English language standards to ensure professional quality. Maintain and enforce quality standards to enhance the learner's learning experience and ensure content excellence. Detect and resolve any accessibility issues in content Edit images, set up and test coding projects, and program tools to optimize workflows when necessary Conduct ongoing quality audits of existing content to identify areas for improvement and optimization. Develop and implement quality control processes to streamline content validation and approval workflows. Monitor content quality metrics and report on quality trends to inform continuous improvement initiatives. Log and assign user-reported bugs and feedback to appropriate team members while tracking quality issues. Identify and resolve issues reported by learners and customer support on time to maintain a quality learner experience. Work collaboratively with Curriculum Developers, Project Managers, and Platform Engineers to address blockers to content launch while ensuring quality is not compromised. Skills Required Technical Foundation: CS background or proficiency in one or more programming languages (C++, C#, Java, Python, JavaScript, SQL) plus experience with JavaScript, Regex, Test Driven Development, and Markdown. Quality Assurance: Experience or aptitude for identifying technical issues and ensuring content accuracy. Editorial Skills: Strong command of written English with excellent editorial and grammatical review capabilities. Technical Adaptability: Willingness to read documentation and learn new languages and technologies as needed. Platform Learning: Willingness to learn new programming features and master the interactive content platform. Experience: Experience working in content/editorial quality assurance or a similar role. Communication: Highly responsive and self-directed with strong collaborative skills. Time Management: Strong time management and organizational skills; attention to detail and initiative. MORE ABOUT SKILLSOFT: Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing accessible technologies. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Acronis is revolutionizing cyber protection—providing natively integrated, all-in-one solutions that monitor, control, and protect the data that businesses and lives depend on. We are looking for a Senior C++ Software Developer to join our mission to create a #CyberFit future and protect all data, applications, and systems across any environment. The Virtualization Backup Team is responsible for integrating Acronis' flagship product, Acronis Backup, with various virtualization platforms to enable seamless backup and restore operations for virtual machines and hypervisor hosts. What You’ll Be Working On Master the Virtualization Stack Gain hands-on experience with hypervisors like VMware ESXi, Hyper-V, Virtuozzo, and more — becoming the go-to expert for platform-specific challenges. Deep Dive into File Systems Work at the low level with FAT, NTFS, Ext, XFS, ReFS — understanding, parsing, and managing file systems across environments. Analyze and Optimize Boot Sequences Tackle the complex task of ensuring cross-platform virtual machine bootability during backup and restore workflows. Integrate with Top Cloud & Virtualization Platforms Build and maintain seamless integrations with Azure, AWS, Google Cloud, Oracle Cloud, and XenServer, enabling scalable, reliable backup operations in hybrid and cloud-native environments. What You'll Do Develop Acronis product integrations with new virtualization platforms and implement additional virtualization-related features. Troubleshoot and resolve identified issues to ensure seamless performance. Conduct code reviews, implement unit tests, debug, and integrate code efficiently. What You Bring (experience & Qualifications) 4+ years of relevant experience in developing, deploying, monitoring, and debugging highly scalable applications using C++. Proficiency in at least one platform (Windows, Linux) and related development technologies with hands-on experience. Strong understanding of advanced programming concepts, including multi-threading, OS internals, networking, TCP/IP protocols, and IPC mechanisms. Experience with debugging tools such as Xcode, LLDB, GDB, and WinDbg, as well as reverse engineering techniques. Solid system administration skills across Windows, Linux, networks, and file systems. Strong troubleshooting and problem-solving abilities. Knowledge of Python and Golang is a plus. Please submit your CV and application in English Who We Are Acronis is a global cyber protection company that provides natively integrated cybersecurity, data protection, and endpoint management for managed service providers (MSPs), small and medium businesses (SMBs), enterprise IT departments and home users. Our all-in-one solutions are highly efficient and designed to identify, prevent, detect, respond, remediate, and recover from modern cyberthreats with minimal downtime, ensuring data integrity and business continuity. We offer the most comprehensive security solution on the market for MSPs with our unique ability to meet the needs of diverse and distributed IT environments. A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and more than 1800 employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 20,000 service providers to protect over 750,000 businesses. Our corporate culture is focused on making a positive impact on the lives of each employee and the communities we serve. Mutual trust, respect and belief that we can contribute to the world everyday are the cornerstones of our team. Each member of our “A-Team” plays an instrumental role in driving the success of our innovative and expanding business. We seek individuals who excel in dynamic, global environments and have a never give up attitude, contributing to our collective growth and impact. OUR INTERVIEW PRACTICES To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Use of AI-generated responses or third-party support during live interviews may be grounds for disqualification from the recruitment process and a full criminal, education and identification background check is required for all new hires. Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.

Job Title: Trainer – Data Science, Data Engineering, Data Analytics, Blockchain, ML & AI Company: ISCAP Services Pvt. Ltd. Location: Remote Job Type: Full-Time Job overview: ISCAP Services Pvt. Ltd. is looking for passionate and experienced trainers to mentor and teach students in the fields of Data Science, Data Engineering, Data Analytics, Blockchain, Machine Learning, and Artificial Intelligence. The ideal candidate should have a strong technical background and a passion for teaching. Key Responsibilities: Deliver high-quality training sessions to students on the respective subjects. Develop structured training materials, lesson plans, projects, and assessments. Guide students through real-world projects, case studies, and hands-on exercises. Stay updated with the latest industry trends and incorporate them into the curriculum. Conduct interactive Q&A sessions, provide mentorship, and resolve student queries. Assess student performance and provide constructive feedback. Collaborate with the ISCAP team to improve course content and delivery methods. Required skills & Qualification: For Data Science, Data Analytics, Data Engineering: Strong expertise in Python, SQL, R, Big Data, Hadoop, Spark, Power BI, Tableau. Experience in data preprocessing, visualization, and statistical modeling. Knowledge of ETL pipelines, cloud platforms (AWS, Azure, GCP) is a plus. For Blockchain Technology: Understanding of blockchain fundamentals, smart contracts, Ethereum, Hyperledger. Hands-on experience with Solidity, web3.js, and blockchain applications. For Machine Learning & Artificial Intelligence: Expertise in ML algorithms, deep learning, TensorFlow, PyTorch, NLP. Knowledge of AI ethics, deployment strategies, and real-world AI applications. Preferred Qualification: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. 2+ years of industry experience in relevant domains. Prior experience in teaching, mentoring, or corporate training is a plus. Excellent communication and presentation skills. Why join ISCAP services? Flexible working hours (remote and onsite options). Opportunity to shape the careers of aspiring professionals. Competitive compensation based on experience and expertise. Work with a dynamic and growing team in the edutech space. How to apply: Interested candidates can apply by sending their resume and a demo session video (if available) to hrsupport@iscap.in or through Whatsapp 8465020524 fill this with demo recording for priority schedule https://docs.google.com/forms/d/1QztA43h1BiSnYfp0kGkY1IyVudJRD-S7TpRJAjTQat0/edit Industry Education Employment Type Full-time/Freelancer

Job Description Job Title: Windchill Solution Architect / Consultant Location: Remote Employment Type: Freelancing Experience: 5+ years About the Role We are looking for an experienced Windchill Solution Architect / Consultant to lead solution design, infrastructure planning, and system administration for large-scale PLM environments. This role will ensure smooth operations, optimize performance, and drive automation for Windchill applications in an enterprise setup. Key Responsibilities Design and maintain Windchill infrastructure landscapes and address non-functional requirements. Manage system administration including storage (NetApp), clusters, load balancers (F5), global replicas, and backups. Oversee OOTB installations, configurations, code deployments, and patch management. Lead Windchill business administration: ACLs, indexing, access rights, preferences, and automation workflows. Provide 3rd-level support for system issues and integrations; set up new interfaces. Manage Azure Cloud hosting, Ansible automation, Jenkins, SonarQube, JFrog Artifactory, and custom deployment frameworks. Perform load and API testing using JMeter and other tools. Ensure system security, performance monitoring, and process automation. Requirements: Proven experience in Windchill solution architecture and administration. Expertise in PLM infrastructure, storage systems, and automation tools. Hands-on with CI/CD (Jenkins, SonarQube, JFrog), Azure Cloud, and scripting (Python/YAML). Strong problem-solving, performance tuning, and stakeholder management skills. Knowledge of security best practices in PLM environments. Preferred: PTC Windchill certifications. Experience with large enterprise PLM deployments.

About xCroTek xCroTek is a product- and service-based AI software company that builds innovative, AI-powered solutions to drive intelligent automation and digital transformation. We specialize in creating scalable, impactful technologies for modern businesses. Job Overview We are hiring a Generative AI Engineer with hands-on experience in LLMs and multi-agent frameworks. The ideal candidate will help us design, implement, and optimize next-gen AI systems, including Retrieval-Augmented Generation (RAG) pipelines, AI agents, and custom-trained models. Key Responsibilities Design and implement AI pipelines using LLMs (e.g., GPT, LLaMA, DeepSeek, etc.) Develop AI agents using tools like AutoGen, CrewAI, and LangChain Work with RAG architectures for contextual response generation Create REST APIs using FastAPI or Flask Integrate vector databases (e.g., ChromaDB, Pinecone) Fine-tune and evaluate LLMs on domain-specific data Deploy models on cloud platforms (AWS, GCP, Azure) Required Skills Strong Python programming skills Experience with web scraping and dataset preparation Familiarity with Hugging Face Transformers, PyTorch or TensorFlow Knowledge of embeddings, tokenization, and transformer-based models Hands-on experience in model optimization for performance and accuracy Preferred Qualifications Certifications in Generative AI, Data Science, or Machine Learning Prior experience working on voice bots or NLP applications B.Tech / MCA/ M.Tech (Final-year students or recent graduates may also apply) What We Offer: Competitive salary with performance-based bonuses. Opportunities for professional growth and learning. Work on impactful projects that contribute to advancements in AI & Technology. Remote working flexibility. Mentorship and support from experienced data analysts. How to Apply: Interested candidates should submit their resume and a brief cover letter explaining their interest in the role to hr@xcrotek.com. Please include "Generative AI Engineer" in the subject line. Deadline for applications: 10 August 2025 Apply with a one-page cover letter and CV to hr@xcrotek.com

Req- 1 Title : CPQ Technical Location - Pune,Mumbai,Bangalore,Hyderabad,Chennai,Kolkata,Noida Work Mode- Hybrid Exp - 5.5 -8 yrs Job Type- Full-Time Mandatory Skills: CPQ – 3+yrs , IronPython / RM Python language for backend- 2+yrs , KnockoutJS/HTML/CSS for frontend- 2+yrs Job Description Experienced Callidus CPQ Consultant with a minimum of 6 years of relevant experience in CPQ. Key Skills and Experience Strong knowledge of the SAP CPQ Core Product Good exposure and experience in IronPython / RM Python language for backend changes Hands-on experience with Knockout JS, HTML, CSS for frontend changes Experience in performance tuning of Callidus Cloud based on business requirements Proven experience in business application design, development, implementation, and/or solution architecture within the Offering, Pricing, and Order Management life cycles Exceptional interpersonal skills, including teamwork, facilitation, and negotiation Ability to quickly comprehend the functions and capabilities of new technology Excellent planning and organizational skills Experience in writing IronPython scripts for customized functionalities Worked on product triggers and container triggers using IronPython Experience with Custom UI / iFrame development Extensive experience working with CTX and Data Tags on Quote 2.0 Req-2 Title : CPQ Functional Location - Pune,Mumbai,Bangalore,Hyderabad,Chennai,Kolkata,Noida Work Mode- Hybrid Exp - 5.5 - 8 yrs Job Type- Full-Time Mandatory skills: CPQ-3+yrs , IronPython / RM Python language for backend – 2+yrs , with Knockout JS/HTML/CSS for frontend-2yrs , performance tuning of Callidus Cloud-1yr Job Description Experienced Callidus CPQ Consultant with a minimum of 6 years of relevant experience in CPQ Strong knowledge of the SAP CPQ Core Product Good exposure and experience in IronPython / RM Python language for backend changes Experienced in working with Knockout JS, HTML, and CSS for frontend changes Experience in performance tuning of Callidus Cloud based on business needs Experience in business application design, development, implementation, and/or solution architecture within the Offering, Pricing, and Order Management life cycles Exceptional interpersonal skills, including teamwork, facilitation, and negotiation Quickly comprehends the functions and capabilities of new technologies Excellent planning and organizational skills

Company Description Founded in March 2023 in Frisco, Texas, TwinMaster is an AI SaaS company offering a Digital Twin software platform powered by AI co-pilots, specifically designed for the building industry, including architects, builders, and owners. Our AI-driven solutions help customers make better design decisions faster and more efficiently. TwinMaster addresses significant challenges in the construction sector by integrating AI to revolutionize design processes and outcomes. Just as ChatGPT has transformed writing, our AI is set to transform architectural design, akin to a "Jarvis (Iron Man)" for architects. Role Description This is a full-time remote role for an Artificial Intelligence Engineer based in India. The AI Engineer will develop, test, and deploy AI algorithms and models tailored to the building industry. Day-to-day tasks include designing scalable AI solutions, collaborating with architects and builders to understand their needs, and integrating AI components into the Digital Twin software platform. The AI Engineer will also be responsible for maintaining and optimizing AI systems, conducting research, and staying updated with the latest advancements in AI technologies. About the Role: Join us as an AI Engineer where you’ll play a key role in developing cutting-edge AI-powered agents and services for the architecture, engineering, and construction industry. This is a remote position open exclusively to candidates based in India. What We’re Looking For: • Passionate, self-motivated risk taker who embraces uncertainty • Strong engineering background with solid coding skills (Python, Node.js, etc.) • Experience or hands-on training with AI and Large Language Models (LLMs) is a big plus • Fast learner eager to build and iterate quickly • Comfortable working fully remote, managing your own productivity and time Who Should NOT Apply: • Those without a genuine passion for building AI-powered agents and services • Candidates unwilling to embrace fast-paced, ever-evolving challenges Why Join Us? • Work remotely from anywhere in India • Be part of a mission-driven team shaping AI’s future • Opportunity to grow rapidly in a cutting-edge tech environment Ready to take the leap? Apply now by emailing Dr. Prasanta Bose at Prasanta@thetwinmaster.com or by sending him a direct LinkedIn message, and let’s build the next-generation AI platform for the AEC industry.