Domain: Retail Banking / Credit Cards Location: Mumbai/ Bengaluru Experience: 3-5 years Industry: Banking / Financial Services (Mandatory) Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? Build and validate credit risk models , including application scorecards and behavior scorecards (B-score), aligned with business and regulatory requirements. Use advanced machine learning algorithms such as Logistic Regression, XGBoost , and Clustering to develop interpretable and high-performance models. Translate business problems into data-driven solutions using robust statistical and analytical methods. Collaborate with cross-functional teams including credit policy, risk strategy, and data engineering to ensure effective model implementation and monitoring. Maintain clear, audit-ready documentation for all models and comply with internal model governance standards. Track and monitor model performance, proactively suggesting recalibrations or enhancements as needed. What do you need to excel at? Writing efficient and scalable code in Python, SQL, and PySpark for data processing, feature engineering, and model training. Working with large-scale structured and unstructured data in a fast-paced, banking or fintech environment. Deploying and managing models using MLFlow, with a strong understanding of version control and model lifecycle management. Understanding retail banking products , especially credit card portfolios , customer behavior, and risk segmentation. Communicating complex technical outcomes clearly to non-technical stakeholders and senior management. Applying a structured problem-solving approach and delivering insights that drive business value. What are we looking for? Bachelors or masters degree in Statistics, Mathematics, Computer Science , or a related quantitative field. 35 years of experience in credit risk modelling , preferably in retail banking or credit cards. Hands-on expertise in Python, SQL, PySpark , and experience with MLFlow or equivalent MLOps tools. Deep understanding of machine learning techniques including Logistic Regression, XGBoost, and Clustering. Proven experience in developing Application Scorecards and behavior Scorecards using real-world banking data. Strong documentation and compliance orientation, with an ability to work within regulatory frameworks. Curiosity, accountability, and a passion for solving real-world problems using data. Cloud Knowledge, JIRA, GitHub(good to have)
Job Title: Power Apps Developer (35 Years Experience) Location: Gurgaon Job Type: Full-Time Job Summary: We are seeking a skilled and proactive Power Apps Developer with 3 to 5 years of experience in building robust, scalable applications using Microsoft Power Platform. The ideal candidate will bring strong expertise in Power Apps (Canvas and Model-Driven), with a functional orientation towards web and app development . Familiarity with Azure services and Snowflake is essential, as you will be working on data-rich applications integrated into enterprise cloud environments. You would be responsible for designing, developing, testing, deploying, and maintaining Power Apps solutions to meet business requirements. You would collaborate with stakeholders, develop complex data models, integrate them with Power Apps, and ensure applications are performant, scalable, and secure. This includes utilizing various Power Platform tools like Power Apps, Power Automate, and Power BI. Key Responsibilities: Design, develop, and maintain scalable apps using Microsoft Power Apps (Canvas & Model-Driven). Collaborate with stakeholders to gather and analyze functional requirements and translate them into user-friendly business applications. Integrate Power Apps solutions with Azure services , Snowflake , SharePoint, Dataverse, and other cloud data sources. Build and manage Power Automate flows to automate business processes. Implement responsive and intuitive UI/UX for mobile and web platforms. Participate in system architecture planning and contribute to best practices in pplication design and lifecycle management. Troubleshoot, debug, and resolve technical issues across environments. Maintain documentation, deployment scripts, and operational support materials. Work closely with cross-functional teams including analysts, cloud engineers, and data teams. Required Qualifications: 2-3 years of hands-on experience in Power Apps development. Strong knowledge of Power Platform components including Power Apps, Power Automate, and Dataverse. Proficiency in JavaScript ( Experience with JavaScript frameworks like React.js for front-end development ), HTML, and CSS for custom front-end functionalities. Experience integrating with Azure services such as Azure Functions, Logic Apps, and Key Vault. Expertise in ASP.net front end, SAP and SQL database Hands-on experience with Snowflake and its integration into apps or workflows. Strong understanding of REST APIs, connectors, and integration patterns. Excellent problem-solving skills and a user-centric mindset. Ability to communicate technical concepts effectively with non-technical stakeholders. RPA: Understanding of Robotic Process Automation (RPA). PCF: Experience with Power Apps Component Framework (PCF). OOB Connectors: Experience with Out-of-the-box (OOB) connectors in Power Apps. Premium Connectors: Experience with premium connectors in Power Apps. Preferred Qualifications: Microsoft Power Platform certifications (e.g., PL-100, PL-400). Familiarity with Agile methodologies and tools like Azure DevOps or Jira. Knowledge of data governance, security roles, and access control within Power Platform. Experience with CI/CD pipelines for Power Platform.
Pickl.AI (TransOrgs education brand) is looking for an instructor who is technically immersed in data science/data engineering as subjects. We are looking for a creative instructor who wants to accelerate their exposure to many areas in Machine Learning, loves wearing multiple hats and can take full ownership of their work. Responsibilities: • Design and deliver data science and data engineering training programs to students at Pickl.AI partner institutions • Teach and mentor students on topics such as data analysis, machine learning, statistics, data visualisation, and other relevant topics • Create and develop instructional materials, including lesson plans, presentations, assignments, and assessments • Keep up-to-date with the latest developments in data science and incorporate new and emerging trends into the curriculum • Include hands-on and relevant case studies in the topics that you are teaching • Provide guidance and support to students throughout their learning journey, including answering questions and providing feedback on assignments and projects • Collaborate with other instructors and team members to continuously improve the curriculum and training programs • Participate in meetings and training sessions to enhance instructional skills and techniques • Maintain accurate and up-to-date records of student attendance, progress, and grades Requirements: • Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field would be preferred • Excellent knowledge and understanding of data science concepts, techniques, and tools • Strong presentation and communication skills • Ability to work independently and in a team environment • Experience in teaching or mentoring students in a classroom or online setting is a plus • Passion for teaching and helping others learn. About the company: TransOrg Analytics has over a decade of specialization in machine learning and data science consulting. Pickl.AI is the education brand of TransOrg Analytics. Visit us at https://pickl.ai and www.transorg,com for details
Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? - Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. - Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. - Complex statistical concepts are explained in a way that clients can understand and advice on strategy. - Overall data analytics strategy and business development. - Responsible for providing thought leadership and support to the team to develop best in class analytics solutions for clients. - Responsible for managing existing relationships with multiple clients in various industries. - Responsible for working closely with the senior management in developing and implementing strategic plans. Team Development: - Manage a team of data Scientists. Lead team members, including personal development and set work direction. - Lead team members, including personal development and set work direction. - Group development by building expertise in new domains and processes. - Coaching and mentoring team members. - Responsible for productivity, utilization and quality of output of the group. - Development of training modules and imparting training to the group. Project Delivery: - Lead analytics engagements and responsible for delivering the analytics solutions required across multiple clients & projects. - Provide thought leadership in a number of areas, including predictive modeling, customer segmentation, reporting & analysis, data processing and cleansing. - Demonstrate strong functional expertise by providing content leadership on projects. - Hands-on experience in implementing machine-learning algorithms. - Improve existing delivery processes and lead automation where applicable. What are we looking for? - Bachelor's in Computer Science/ Engineering, Statistics, Math or any other relevant degree. - 5-9 years of total experience with at least 3+ yrs. of relevant experience in data science/technical experience. - Experience on multiple modeling techniques -Logistic Regression, Linear Regression, Random Forest, Boosting, Neural Networks etc. - Hands-on experience with Python and SQL is a must. - Experience with data visualization tools like Tableau or Power BI. - Team and client management experience. - Experience of stakeholder management - Experience in working with unstructured data and text analytics. - Must have a passion for data, structured and unstructured. - Should have sound experience in data mining and data analysis. Good presentation skills. -Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables -Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. - Excellent communication skills, both verbal and written. -Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) -Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)
Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Job Location Gurgaon /Mumbai What do we expect from you? Analyze & interpret data and communicate results to clients, often with the aid of Mathematical/statistical techniques and software. This role requires: Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. Complex statistical concepts are explained in a way that clients can understand and advice on strategy. What do you need to excel at? Well-versed in quantitative analysis, data mining, trend analysis, customer profiling, clustering and predictive modelling. Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need. Should be able to handle assigned tasks in the capacity of individual contributor. Demonstrate excellent teamwork. Collaborate with other data analysts to provide development coverage, support, and Knowledge sharing and mentoring of junior team members. What are we looking for? Bachelor's in Computer Science, Engineering, Statistics, Maths or related quantitative degree. 3-5 years of relevant experience in a data analysis or related role. Experience in BFSI and CPG Domain is Preferred. Experience of data pre-processing and data manipulation using Python or SQL Should have some experience of statistical analysis and modeling techniques (e.g., regression, classification, clustering). Experience with machine learning, deep learning frameworks and libraries ( good to have) Familiarity with data processing tools and frameworks Experience with data visualization tools like Tableau or Power BI. Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written. Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)
Job Description_ Data Engineer _ TransOrg Analytics Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Responsibilities: Design, develop, and maintain robust data pipelines using Azure Data Factory and Databricks workflows. Develop an integrated data solution in Snowflake to unify data. Implement and manage big data solutions using Azure Databricks. Design and maintain relational databases using Azure Delta Lake. Ensure data quality and integrity through rigorous testing and validation. Monitor and troubleshoot data pipelines and workflows to ensure seamless operation. Implement data security and compliance measures in line with industry standards. Continuously improve data infrastructure (including CI/CD) for scalability and performance. Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into Snowflake. Utilize ETL tools (e.g., ADF, Talend) to automate and manage data workflows. Develop and maintain CI/CD pipelines using GitHub and Jenkins for automated deployment of data models and ETL processes. Monitor and troubleshoot pipeline issues to ensure smooth deployment and integration. Design and implement scalable and efficient data models in Snowflake. Optimize data structures for performance and storage efficiency. Collaborate with stakeholders to understand data requirements and ensure data integrity Integrate multiple data sources to create data lake/data mart Perform data ingestion and ETL processes using SQL, Scoop, Spark or Hive Monitor job performances, manage file system/disk-space, cluster & database connectivity, log files, manage backup/security and troubleshoot various user issues Design, implement, test and document performance benchmarking strategy for platforms as well as for different use cases Setup, administer, monitor, tune, optimize and govern large scale implementations Drive customer communication during critical events and participate/lead various operational improvement initiatives Qualifications, Skill Set and competencies: Bachelor's in Computer Science, Engineering, Statistics, Maths or related quantitative degree. 2 - 5 years of relevant experience in data engineering. Must have worked on any of the cloud engineering platforms - AWS, Azure, GCP, Cloudera Proven experience as a Data Engineer with a focus on Azure cloud technologies/Snowflake. Strong proficiency in Azure Data Factory, Azure Databricks, ADLS, and Azure SQL Database. Experience with big data processing frameworks like Apache Spark. Expert level proficiency in SQL and experience with data modeling and database design. Knowledge of data warehousing concepts and ETL processes. Strong focus on PySpark, Scala and Pandas. Proficiency in Python programming and experience with other data processing frameworks. Solid understanding of networking concepts and Azure networking solutions. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Azure Data Engineer certification AZ-900 and DP-203 (Good to have) Familiarity with DevOps practices and tools for CI/CD in data engineering. Certification: MS Azure / DBR Data Engineer (Good to have) Data Ingestion - Coding & automating ETL pipelines, both batching & streaming. Should have worked on both ETL or ELT methodologies using any of traditional & new age tech stack- SSIS, Informatica, Databricks, Talend, Glue, DMS, ADF, Spark, Kafka, Storm, Flink etc. Data transformation - Experience working with MPPs, big data & distributed computing frameworks on cloud or cloud agnostic tech stack- Databricks, EMR, Hadoop, DBT, Spark etc, Data storage - Experience working on data lakes, lakehouse architecture- S3, ADLS, Blob, HDFS DWH - Strong experience modelling & implementing DWHing on tech like Redshift, Snowflake, Azure Synapse, Bigquery, Hive Orchestration & lineage - Airflow, Oozie etc.
Location: Gurgaon (On-site) Experience: 13 years Notice Period: Immediate to 15 Days Preferred About TransOrg Analytics: TransOrg Analytics is a leading data science and AI consulting firm building scalable platforms for business transformation. We combine deep domain expertise with modern full-stack development to deliver intuitive web applications and decision- support tools. Role Overview: We are looking for a Full-Stack Developer who will be responsible for building and maintaining high-performance marketing websites, integrating CMS systems, handling backend services, and ensuring SEO and analytics integrations. Key Responsibilities: • Develop and maintain responsive web apps using Next.js (App Router) and Tailwind CSS • Integrate WordPress as a headless CMS using GraphQL or REST APIs • Implement Server-Side Rendering (SSR) for SEO-friendly pages • Configure deployment environments on Linux VPS servers with Nginx/OpenLiteSpeed • Build and consume RESTful APIs using Node.js / Express.js • Optimize Core Web Vitals and performance using Lighthouse, Google Analytics, MS Clarity • Collaborate with UI/UX teams on reusable component design systems using React and Figma Tokens Required Skills: • 12 years of hands-on experience in Next.js, React, and Tailwind CSS • Solid backend skills in Node.js, Express.js, and working knowledge of PostgreSQL • Experience with server setup and deployment (Linux, VPS, Nginx) • Familiarity with headless CMS systems like WordPress via REST or GraphQL APIs • Strong understanding of SEO, SSR, and performance optimization • Git version control and CI/CD workflows Good to Have: • Experience with Prisma ORM • Familiarity with OpenLiteSpeed or Nginx optimizations • Hands-on experience with Linux server setup and configuration What We Offer: • Ownership of end-to-end features and deployments • Collaborative and fast-paced environment • Exposure to both product and consulting workstreams
You are a good fit if you: Are looking for work full of life and a life full of work, unfettered by 9-5 jobs. You are a keen observer and can work autonomously based on limited key ingredients. If you dont hesitate to try out several versions of an idea/solution and let others comment on them. Are someone who loves to work for a mission, is undeterred by dull phases, and gets excited by small victories. The team you will be working with: Imagine yourself as working inside an incubator. For the most strategic team of TransOrg, directly with the founder and other senior leaders. No micromanagement. The role: Developing content for blogs, articles, product descriptions, social media and company websites for pickl.ai. Write clear marketing copies to promote our products/services. Prepare well-structured drafts using Content Management Systems. Proofread and edit blog posts before publication. Assisting the marketing efforts in developing content for advertising campaigns. Familiarity with web publications and creating content in accordance with the latest trends to ensure it resonates with Gen-Z. Keep a tab on what is grabbing the customers’ attention on any given day. Skills are we looking for: Bachelor's degree with 1 year experience. Proven experience in digital storytelling. Effective communication skills. Working knowledge of content management systems. Editing and polishing existing content to improve readability About the company: TransOrg Analytics is a decade of specialization in Machine Learning and Big Data consulting. This role in question is positioned in the edTech team of TransOrg. Pickl (the education vertical of TransOrg) is poised to be a forerunner in the arena of Data Science Learning for the coming years. Visit us at https://www.pickl.ai and https://www.transorg.com for details.
Job Description: AI Engineer (RAG & Agentic AI Specialist) Work Location: Mumbai and Gurgaon Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Job Objective To build enterprise-grade AI solutions that leverage Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and large language models (LLMs). The candidate will be responsible for end-to-end solutioning using modern tools and platforms, interacting with business teams, and driving innovation within the Microsoft and Azure ecosystem. Essential Job Tasks Build and deploy scalable AI solutions, from RAG systems to complex agent-based architectures using LangChain, CrewAI, AutoGen, or low code solutions like Copilot Studio, Azure AI Foundry. Leverage MCP, A2A, Microsoft Flows, and M365 Copilot for reasoning-based process automation. Collaborate with business to gather requirements and recommend best fit AI solutions. Work with the cloud infra team to set up secure, scalable AI systems on Azure. Ensure production-readiness and scalability of deployed AI solutions. Areas of Responsibility End-to-end ownership of AI product delivery. Integration of AI agents and retrieval mechanisms. Enabling adoption and training of AI practice across the organization. Work Experience 2-5 years overall experience in AI/ML or related fields. 2-3 years hands-on experience in RAG and agentic AI solutions. Required Qualifications B.E./B.Tech or M.Sc./B.Sc. in Computer Science, Data Science, or related field. Education from Tier 1 institutes preferred. Generative AI certifications are an advantage. Technical Knowledge LangChain, CrewAI, AutoGen, Copilot Studio, Azure AI Foundry. Creation and deployment of APIs using FastAPI or similar frameworks. OpenAI, Hugging Face, GPT4 APIs. Azure cloud (preferred). Working knowledge of Databricks and Azure Synapse. Power Platform (Power Automate, M365 Copilot Chat). Agent workflow orchestration, prompt design, RAG architecture, vector databases.
Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Experience: 4 till 7 years Location: Gurgaon Roles and Responsibilities: Responsible for activation, retention, minimizing risk and maximizing revenue opportunities for growth of assigned client. Cultivate and grow relationships with the client, including key decision makers, through opportunity identification, strategic client relationship management. Identifies trends in data to drive optimization strategies. Act as the point of contact for clients for all things related to the management and smooth functioning of accounts and ensuring deliverables are being met. Accountable for meeting/exceeding client needs, issues management and resolution, and escalation. Oversee the management of overall project timelines; establish an effective early-warning system for deadline challenges and develop appropriate work-around strategies to ensure final end delivery on-time. Provide full visibility of project status and delivery plan to all relevant stakeholders. Ensure complete project documentation in a timely and comprehensive manner. Plan and execute projects, ensure that teams have appropriate technical specifications, direction, and resources to deliver effectively by establishing realistic estimates for timelines while ensuring that projects remain on target to meet deadlines. Provide leadership and guidance to coach, motivate, and lead team members to their optimum performance levels and career development. Ensure that clients business requirements and KPIs are being implemented according to defined scope, and requirements and value is being delivered at every touch point. Innovation: Work closely with subject matter experts/clients to identify high potential use cases, help them define and execute rapid prototypes and proof of concepts. Project Management: This involves defining project objectives, scoping requirements, creating project plans, and ensuring projects are delivered on time and within budget. Manage a team of data scientists and develop the capabilities within the team in AI and ML. Effectively communicating initiatives and progress to senior management and stakeholders. Building strong relationships with key stakeholders. Participate in the recruitment and hiring process to build a high-performing team. Identify talent gaps, promote skill development, and create opportunities for professional growth. Provide regular feedback, conduct performance evaluations, and support the career progression of team members. Staying up to date with the latest AI advancements, industry trends, and research papers. Encouraging research and innovation within the team to improve capabilities and explore new applications. What were looking for: Strong business/financial acumen, excellent written, verbal and presentation skills. Ability to interact with cross-functional teams. Enthusiasm for contributing to wider activities to support team and company growth. Expertise in managing full project management life cycle. Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with Clients and leadership team Ability to think both strategically and tactically and to drive execution. Should be equally comfortable with long term planning and day to day progress tracking and execution Hands-on experience in establishing and driving Agile methodology Ability to get into the depth of project details but also able to provide an overall big picture to the leadership. Key generic competencies Client/Stakeholder Management Problem Solving & Decision Making Planning and organizing skills. Strong analytical and interpersonal skills People management skills Experience & Qualifications B.E/ B.Tech/ MA Economics/ MSc Statistics/Math or any other relevant degree. Masters degree in business management preferably from a premier B school (Good to have) 4-7 yrs. of relevant work experience Having experience in the analytics domain is a plus Experience with Python and SQL Excellent Project Management/Stakeholder Management skills
Key Responsibilities Develop and execute integrated marketing plans (quarterly/annual) aligned with business goals and sales priorities. Drive demand generation and ABM campaigns targeting CXOs and senior decision-makers across industries. Design, manage, and optimize persona-based email marketing campaigns for both India and US markets, using automation tools (HubSpot, Apollo.io, YAMM). Lead content strategy by creating SEO-optimized blogs, case studies, newsletters, and whitepapers highlighting TransOrgs thought leadership. Develop sales enablement materials including brochures, decks, and case studies for client engagement. Manage social media presence (LinkedIn, X, etc.) through brand storytelling, thought leadership, and executive-level engagement. Oversee website management (content updates, UI/UX improvements, conversion tracking) to drive lead capture and engagement. Track, measure, and report marketing performance metrics (MQL/SQL conversion, CTRs, ROI, CAC, pipeline contribution) using GA4, HubSpot, Looker Studio, etc. Leverage AI-driven insights and analytics to refine targeting, segmentation, and campaign personalization. Collaborate with sales and delivery teams to align marketing strategies with target accounts, new use cases, and industry priorities. Monitor competitor activity and industry trends to identify opportunities for positioning and differentiation. Manage external vendors and freelancers (content writers, designers, database providers) to ensure timely execution of campaigns. Ensure compliance with GDPR, CAN-SPAM, and best practices for data privacy and email deliverability. Represent the brand at digital and offline events, webinars, and industry forums to build visibility and thought leadership. Required Experience & Competencies 4+ years of B2B marketing experience with focus on AI/ML, analytics, or technology services. Proven success in demand generation, ABM, and persona-based campaigns targeted at CXOs, VPs, and senior executives. Strong background in digital marketing, automation, and analytics tools (HubSpot, YAMM, Apollo.io, GA4, Canva, Looker Studio, WordPress). Demonstrated ability in content creation & thought leadership marketing (blogs, case studies, whitepapers). Hands-on experience across industries such as BFSI, CPG, Retail, Healthcare, Telecom, Insurance, and Manufacturing. Strong copywriting and storytelling skills, with ability to communicate complex solutions simply. Excellent stakeholder management skills with experience collaborating directly with leadership teams. Self-starter, independent, and execution-driven with the ability to handle multiple projects.
Key Responsibilities Fetch, clean, and manage marketing and prospect data from Apollo.io and other campaign tools. Segment users based on firmographics, behavioral signals, and engagement patterns to build targeted lists. Track and organize large volumes of campaign and user behavior data (open rates, CTR, conversions, bounce/unsubscribe trends). Analyze email performance (subject lines, content variations, send times) to identify what drives higher engagement. Monitor user behavior data across campaigns to understand preferences, drop-offs, and conversion trends. Collaborate with the marketing team to provide data-backed recommendations for improving lead quality and campaign ROI. Build and maintain dashboards and reports (Excel, Looker Studio, Tableau, or Power BI) to communicate insights clearly. Support A/B testing and multivariate testing, delivering insights into what works best for different segments. Ensure data hygiene, accuracy, and compliance with regulations (GDPR, CAN-SPAM). Required Experience & Competencies 2-3 years of experience in data analysis, preferably within marketing, digital campaigns, or CRM/email analytics. Hands-on experience with Apollo (mandatory) and other marketing automation/CRM tools (HubSpot, YAMM, Mailchimp, etc.). Strong ability to segment audiences and apply behavioural/user-level data for targeting. Proficiency in reporting and data visualization (Excel, Google Looker Studio, Tableau, Power BI). Familiarity with SQL, Python, or R for deeper data analysis (preferred, not mandatory). Strong understanding of email campaign KPIs: open rates, CTR, conversion funnels, and engagement scores. Excellent analytical and problem-solving skills, with the ability to interpret complex data into clear insights and actions. Strong communication skills for presenting findings to stakeholders in simple, business-focused language. Detail-oriented with a focus on data quality, segmentation accuracy, and campaign optimization.
AI & Analytics Sales Manager GCCs & Large Enterprises Location: Mumbai / Gurgaon Type: Full-time Why Join TransOrg Analytics? At TransOrg, we dont just deliver analytics, we shape the future of how businesses use AI and data. As an award-winning Advanced Analytics and AI company, we partner with Fortune 500 enterprises and industry leaders across India, North America, APAC, and the Middle East. If you thrive on consultative selling, building relationships with CXOs, and closing high-value deals, this is your chance to lead sales for cutting-edge AI and analytics solutions in some of the worlds fastest-growing industries. Learn more about us: https://www.transorg.ai/ What Youll Do As Sales Manager for GCCs & Large Enterprises , youll be at the forefront of our growth, responsible for winning new clients and expanding our footprint across BFSI, retail, CPG, e-commerce, aviation, telecom, and hospitality. Build and own a strong sales pipeline with top corporates, GCCs, and global enterprises. Engage senior decision-makers (CXOs, VPs, Directors, HODs) and uncover their most pressing AI/analytics challenges. Drive the full sales cycle from prospecting and discovery through solution design, negotiation, and closure. Partner with our marketing team, technical SMEs, and leadership to craft powerful pitches, proposals, and demos. Stay on top of industry trends, competitors, and emerging use cases to shape differentiated sales strategies. Represent TransOrg at industry events, conferences, and networking forums to expand relationships and visibility. Youll be expected to bring a 30-60-90 days sales plan to quickly build momentum and establish a healthy pipeline. What Were Looking For 10–12 years of success in selling AI, advanced analytics, or data science services to large enterprises and GCCs in India – a must. Degree in BTech/BSc; MBA (Marketing/Strategy) preferred. A track record of sourcing, negotiating, and closing high-value B2B deals. Strong understanding of analytics, AI, GenAI, ML, and data engineering, with the ability to translate them into client value. Domain knowledge in BFSI, CPG, retail, e-commerce, aviation, telecom, or hospitality. Consultative, “customer-first” selling approach with the ability to influence senior stakeholders. Excellent communication, negotiation, and presentation skills and confident in front of diverse audiences by seniority such as CXOs and techno-business functional heads. Self-driven, energetic, and comfortable working in fast-paced, unstructured environments. Willingness to travel frequently across India. What We Offer The opportunity to lead sales for cutting-edge AI and advanced analytics solutions in high-growth sectors. Direct access to CXOs and decision-makers at top corporates and GCCs. Collaboration with expert technical teams and leadership to design impactful solutions. A performance-driven culture with autonomy and recognition for results. Additional Information Notice Period: Maximum 45 days References: At least one direct supervisor reference required Selection Process: Interviews with HR, Sales, and CEO + case study sales pitch presentation This role is ideal for ambitious sales leaders who want to make a big impact in enterprise AI and analytics, while working with a fast-growing, award-winning team.
Job Description: Lead Front-End Engineer AI Work Location: Mumbai and Gurgaon Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Responsibilities: Lead the design, development, and maintenance of front-end applications for AI-driven products and platforms. Build highly responsive, user-friendly, and scalable interfaces using React.js and modern JavaScript/TypeScript frameworks. Collaborate with product managers, backend engineers, and data scientists to deliver seamless end-to-end solutions. Translate UX/UI designs into functional, pixel-perfect, and performant code. Ensure cross-browser, cross-device compatibility and adherence to accessibility standards. Implement front-end best practices for performance optimization, security, and maintainability. Drive architectural decisions and front-end technology adoption across projects. Mentor junior engineers and establish coding standards, reviews, and best practices. Stay updated with the latest advancements in front-end and web technologies to integrate modern solutions into products. Qualification Requirements: Educational: Bachelors degree with at least 7 years of experience or Masters with at least 4 years of experience in Computer Science, Software Engineering, or related fields. Technical: Proven expertise in React.js with strong proficiency in JavaScript and TypeScript . Hands-on experience in building large-scale front-end applications with modular, reusable, and scalable components. Strong knowledge of state management frameworks (Redux, Zustand, Recoil, or similar). Experience with RESTful APIs, GraphQL , and integrating with backend/AI services. Proficiency in front-end build tools and CI/CD pipelines (Webpack, Vite, Babel, Jenkins, GitHub Actions). Familiarity with UI/UX principles, responsive design, and accessibility standards (WCAG/ARIA) . Exposure to modern UI libraries and frameworks (Material-UI, TailwindCSS, shadcn/ui, etc.). Experience with testing frameworks (Jest, React Testing Library, Cypress) to ensure high-quality releases. Knowledge of cloud deployment and containerized environments (Docker) is a plus. Understanding of secure coding practices for front-end applications. Other: Strong problem-solving ability and attention to detail. Excellent written and verbal communication skills in English. Demonstrated experience in leading front-end teams and cross-functional collaboration. Passionate about building intuitive interfaces that bring AI-powered solutions closer to users.
Job Description- Lead Data Engineer Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Position Summary: Build a centralized data system/warehouse for unifying data, improving data integration, and enhancing reporting and business intelligence capabilities. Education & Experience Requirements Bachelors degree in data science, computer science, or IT-related fields with at least 7 years of experience or Masters with at least 5 years of experience in Data Engineering/analytics. Key Responsibilities Design & implement a centralized data integration process to merge data from multiple disconnected systems. Generate data reports & dashboards for leadership, stakeholders, and researchers. Train staff on using and managing the data infrastructure. Lead the design, development, and maintenance of scalable data pipelines and analytical workflows. Work extensively with large-scale tabular datasets to extract insights, optimize performance, and ensure high data quality. Write and optimize complex SQL queries and manage large datasets in BigQuery, Databricks, or other modern data warehouses . Collaborate with data scientists and business teams to prepare clean, reliable datasets for modeling and decision-making. Design efficient ETL/ELT processes to ingest, transform, and integrate structured and semi-structured data. Partner with engineering teams to design scalable data infrastructure and ensure system reliability. Mentor junior analysts/engineers and promote best practices in analytics engineering. Key Skills & Knowledge Requirements The candidate must have expertise in the following areas: Technical Skills Data Engineering : Data collection, management, transformation, and storage. Business Intelligence tools (Looker,ThoughtSpot, Power BI, Tableau, ). Data Modeling and designing scalable data architectures. Strong track record in producing deliverables on time and reporting to stakeholders. Data Integration : Enabling data sharing and interoperability with other agencies . Proven expertise in working with large-scale tabular data for business intelligence, reporting, and advanced analytics. Expert-level proficiency in SQL and hands-on experience with BigQuery (mandatory). Strong knowledge of data modeling, query optimization, and performance tuning . Experience with ETL/ELT frameworks, data pipelines, and orchestration tools (e.g., Airflow) Exposure to cloud platforms (GCP/Azure) and their native data services. Experience with version control (Git) and CI/CD for data workflows is a plus. Strong understanding of data governance, lineage, and metadata management. Other: Excellent analytical and problem-solving skills with strong attention to detail. Strong written and verbal communication skills in English. Ability to collaborate effectively across cross-functional teams. Strategic thinker with the ability to work independently under tight deadlines. Passion for building robust data foundations that enable advanced analytics and AI solutions. Ability to collaborate with stakeholders from different technical backgrounds. Experience in documenting business & technical requirements . Strong communication skills for training and knowledge sharing.
Job Description: AI Engineer (RAG & Agentic AI Specialist) Work Location: Mumbai and Gurgaon Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Job Objective To build enterprise-grade AI solutions that leverage Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and large language models (LLMs). The candidate will be responsible for end-to-end solutioning using modern tools and platforms, interacting with business teams, and driving innovation within the Microsoft and Azure ecosystem. Essential Job Tasks Build and deploy scalable AI solutions, from RAG systems to complex agent-based architectures using LangChain, CrewAI, AutoGen, or low code solutions like Copilot Studio, Azure AI Foundry. Leverage MCP, A2A, Microsoft Flows, and M365 Copilot for reasoning-based process automation. Collaborate with business to gather requirements and recommend best fit AI solutions. Work with the cloud infra team to set up secure, scalable AI systems on Azure. Ensure production-readiness and scalability of deployed AI solutions. Areas of Responsibility End-to-end ownership of AI product delivery. Integration of AI agents and retrieval mechanisms. Enabling adoption and training of AI practice across the organization. Design, develop, and maintain backend services and APIs to support AI/ML applications at scale. Productionize ML and deep learning models, ensuring efficiency, reliability, and low-latency inference. Build scalable microservices and REST/gRPC APIs for deploying AI solutions in enterprise environments. Optimize AI model serving using frameworks such as TensorRT, ONNX Runtime, Triton Inference Server, or FastAPI . Implement MLOps practices including model versioning, monitoring, and automated deployments. Collaborate with AI researchers, data scientists, and product managers to translate prototypes into production-ready systems. Ensure robustness, fault tolerance, and security in backend AI systems. Integrate AI services with enterprise data platforms, cloud systems, and third-party APIs. Contribute to architecture discussions, design reviews, and performance tuning. Mentor junior engineers and contribute to best practices in AI software engineering. Required Qualifications & Work Experience 2-8 years overall experience in AI/ML or related fields. 2-3 years hands-on experience in RAG and agentic AI solutions. B.E./B.Tech or M.Sc./B.Sc. in Computer Science, Data Science, or related field. Generative AI certifications are an advantage. Technical Knowledge LangChain, CrewAI, AutoGen, Copilot Studio, Azure AI Foundry. Creation and deployment of APIs using FastAPI or similar frameworks. OpenAI, Hugging Face, GPT4 APIs. Azure cloud (preferred). Working knowledge of Databricks and Azure Synapse. Power Platform (Power Automate, M365 Copilot Chat). Agent workflow orchestration, prompt design, RAG architecture, vector databases. Strong proficiency in Python and backend frameworks (FastAPI). Expertise in Prompt engineering and working with various LLMs . Experience in productionizing AI/ML models with efficient inference pipelines. Hands-on experience with model deployment frameworks (Triton, TensorRT, TorchServe, ONNX Runtime). Knowledge of cloud platforms (Azure, GCP) and container technologies ( Docker ). Strong experience with microservices architecture, CI/CD pipelines, and monitoring tools (Prometheus, Grafana). Familiarity with databases (SQL/NoSQL) and scalable data storage solutions. Exposure to LLMs, SLMs, and GenAI model integration into backend systems is a plus. Understanding of security, authentication, and performance optimization in large-scale systems. Experience with version control (Git) and Agile development practices. Other: Excellent problem-solving skills and attention to detail. Strong written and verbal communication skills in English. Ability to work collaboratively in cross-functional teams. Passion for building reliable backend systems that bring AI models into real-world impact.
Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Experience: 4 -8 years Location: Gurgaon & Mumbai Roles and Responsibilities: Build and nurture strong client relationships with key decision makers, acting as the primary point of contact for account management, issue resolution, and escalation. Translate business requirements into actionable solutions, ensuring KPIs and value delivery at every touch point. Lead end-to-end project management including scoping, planning, execution, monitoring, and closure ensuring on-time, within-budget delivery. Establish effective project governance through timelines, documentation, risk tracking, and early-warning systems; provide full visibility of status to stakeholders. Facilitate Agile practices including sprint planning, daily stand-ups, retrospectives, and effective use of tools like JIRA. Act as a bridge between business stakeholders, engineering, and data science teams for clear communication and smooth delivery. Provide leadership, coaching, and career development opportunities; oversee recruitment, performance evaluations, and talent development. Build team capabilities in AI/ML, driving innovation through rapid prototypes, proof of concepts, and adoption of latest advancements. Track project risks, dependencies, budgets, and compliance, ensuring alignment with business goals, frameworks, and standards. Prepare and present project reports, dashboards, and executive updates to senior leadership. Champion process improvements and best practices to enhance efficiency, delivery quality, and overall team performance. What were looking for: Strong business/financial acumen, excellent written, verbal and presentation skills. Ability to interact with cross-functional teams. Enthusiasm for contributing to wider activities to support team and company growth. Expertise in managing full project management life cycle. Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with Clients and leadership team Ability to think both strategically and tactically and to drive execution. Should be equally comfortable with long term planning and day to day progress tracking and execution Hands-on experience in establishing and driving Agile methodology Ability to get into the depth of project details but also able to provide an overall big picture to the leadership. Key generic competencies Client/Stakeholder Management Problem Solving & Decision Making Planning and organizing skills. Strong analytical and interpersonal skills People management skills Experience & Qualifications B.E/ B.Tech/ MA Economics/ MSc Statistics/Math or any other relevant degree. Masters degree in business management preferably from a premier B school (Good to have) Bachelors degree with at least 7 years of experience or Masters with at least 4 years of experience in project/program management. Having experience in the analytics domain is a plus Experience with Python and SQL is a plus. Hands-on expertise in JIRA for backlog management, sprint tracking, and reporting. Familiarity with other Agile project management tools (Confluence, Trello, Asana, MS Project, etc.). Experience managing projects in cloud environments (Azure, GCP, AWS) is a plus. Strong understanding of Agile and Waterfall methodologies, with ability to adapt based on project needs. Proficiency in preparing project documentation, executive dashboards, and performance metrics. Excellent Project Management/Stakeholder Management skills Certifications : PMP (Project Management Professional) or PRINCE2 certification. Certified Scrum Master (CSM) or equivalent Agile certification.
Key Responsibilities Develop and execute integrated marketing plans (quarterly/annual) aligned with business goals and sales priorities. Drive demand generation and ABM campaigns targeting CXOs and senior decision-makers across industries. Design, manage, and optimize persona-based email marketing campaigns for both India and US markets, using automation tools (HubSpot, Apollo.io, YAMM). Lead content strategy by creating SEO-optimized blogs, case studies, newsletters, and whitepapers highlighting TransOrgs thought leadership. Develop sales enablement materials including brochures, decks, and case studies for client engagement. Manage social media presence (LinkedIn, X, etc.) through brand storytelling, thought leadership, and executive-level engagement. Oversee website management (content updates, UI/UX improvements, conversion tracking) to drive lead capture and engagement. Track, measure, and report marketing performance metrics (MQL/SQL conversion, CTRs, ROI, CAC, pipeline contribution) using GA4, HubSpot, Looker Studio, etc. Leverage AI-driven insights and analytics to refine targeting, segmentation, and campaign personalization. Collaborate with sales and delivery teams to align marketing strategies with target accounts, new use cases, and industry priorities. Monitor competitor activity and industry trends to identify opportunities for positioning and differentiation. Manage external vendors and freelancers (content writers, designers, database providers) to ensure timely execution of campaigns. Ensure compliance with GDPR, CAN-SPAM, and best practices for data privacy and email deliverability. Represent the brand at digital and offline events, webinars, and industry forums to build visibility and thought leadership. Required Experience & Competencies 4+ years of B2B marketing experience with focus on AI/ML, analytics, or technology services. Proven success in demand generation, ABM, and persona-based campaigns targeted at CXOs, VPs, and senior executives. Strong background in digital marketing, automation, and analytics tools (HubSpot, YAMM, Apollo.io, GA4, Canva, Looker Studio, WordPress). Demonstrated ability in content creation & thought leadership marketing (blogs, case studies, whitepapers). Hands-on experience across industries such as BFSI, CPG, Retail, Healthcare, Telecom, Insurance, and Manufacturing. Strong copywriting and storytelling skills, with ability to communicate complex solutions simply. Excellent stakeholder management skills with experience collaborating directly with leadership teams. Self-starter, independent, and execution-driven with the ability to handle multiple projects.
Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. Complex statistical concepts are explained in a way that clients can understand and advice on strategy. Overall data analytics strategy and business development. Responsible for providing thought leadership and support to the team to develop best in class analytics solutions for clients. Responsible for managing existing relationships with multiple clients in various industries. Responsible for working closely with the senior management in developing and implementing strategic plans. Responsibilities: Project Delivery Provide data science and AI expertise to design, build, and deliver scalable ML and deep learning solutions. Work extensively with tabular data to develop predictive models, perform feature engineering, and optimize performance for real-world applications. Apply conventional machine learning techniques (e.g., regression, classification, ensemble methods) alongside advanced deep learning methods. Build and optimize deep learning models for structured and unstructured data, including text and audio. Lead development of solutions for audio data, including classification, recognition, and signal processing tasks. Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small Language Models), and other Generative AI solutions for diverse business applications. Translate business problems into well-structured ML/AI problems and deliver actionable insights. Deploy production-grade models with a focus on efficiency, scalability, and maintainability. Collaborate with cross-functional teams including product managers, engineers, and domain experts to deliver high-impact projects. Mentor junior data scientists and interns, fostering innovation and best practices. Lead analytics engagements and responsible for delivering the analytics solutions required across multiple clients & projects. Provide thought leadership in a number of areas, including predictive modeling, customer segmentation, reporting & analysis, data processing and cleansing. Demonstrate strong functional expertise by providing content leadership on projects. Team Development Manage and lead a team of Data Scientists, providing direction, coaching, and mentoring for professional growth. Drive group development by building expertise in new domains, improving processes, and ensuring productivity, utilization, and quality. Develop and deliver training modules to enhance team skills and capabilities. What are we looking for? Bachelors in computer science/ engineering, Statistics, Math or any other relevant degree. 5-9 years of relevant experience in Data Science/ML/AI. Experience on multiple modeling techniques -Logistic Regression, Linear Regression, Random Forest, Boosting, Neural Networks etc. Experience with data visualization tools like Tableau or Power BI. Experience of Team, client and stakeholder management. Experience in working with unstructured data and text analytics. Experience in data mining and data analysis. Proven expertise working with large-scale tabular data and building machine learning models. Strong knowledge of conventional ML algorithms (tree-based models, SVMs, clustering, etc.). Hands-on experience with deep learning frameworks such as TensorFlow / PyTorch. Mandatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning, prompt engineering, and deployment. Proficiency in Python and libraries such as scikit-learn, pandas, NumPy and SQL. Exposure to model deployment frameworks and tools (ONNX, Triton, TensorRT, FastAPI, etc.). Familiarity with cloud platforms (Azure/GCP) for training and deploying ML solutions. Experience with Databricks is a plus. Strong understanding of MLOps practices, reproducibility, and model monitoring. Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverable Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written. Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)
Instructor Data Science / Data Engineering Company: Pickl.AI (Education Brand of TransOrg Analytics) About the Company TransOrg Analytics is a leading consulting firm with over a decade of expertise in machine learning and data science solutions. Pickl.AI is the education brand of TransOrg Analytics, committed to delivering high-quality data science and AI training. Visit us at: https://pickl.ai | www.transorg.com About the Role Pickl.AI (TransOrgs education brand) is seeking a technically immersed Data Science/Data Engineering Instructor. We are looking for a creative professional who is passionate about teaching, enjoys wearing multiple hats, and wants to accelerate their exposure across various areas in Machine Learning and Data Science. Key Responsibilities Design and deliver data science and data engineering training programs to students at Pickl.AI partner institutions. Teach and mentor students on topics such as data analysis, machine learning, statistics, data visualization, and other relevant areas. Develop instructional materials, including lesson plans, presentations, assignments, and assessments. Stay updated with the latest developments in data science and integrate emerging trends into the curriculum. Incorporate hands-on projects and case studies into teaching. Provide guidance and support to students, including answering questions and giving feedback on assignments/projects. Collaborate with fellow instructors and team members to continuously improve training programs. Participate in internal meetings and training sessions to enhance instructional skills. Maintain accurate and up-to-date records of student attendance, progress, and grades. Requirements Candidates should be open to traveling across PAN India for partner institution engagements as per project needs. A minimum of a bachelors degree in computer science. Prior teaching or mentoring experience (classroom/online) is a plus. Data Science, Statistics, or a related field (Good to have). Excellent presentation and communication skills. Ability to work both independently and collaboratively in a team. Passion for teaching and enabling student success.
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