Job Title: Machine Learning Engineer (Computer Vision + GenAI) Location: Bangalore, India (Hybrid) Company: Factspan Analytics Client Industry: Retail / E-commerce About the Role We are looking for a highly skilled Machine Learning Engineer with a strong foundation in Computer Vision , NLP , and GenAI to join our team at Factspan. You'll work closely with a leading retail client to address a critical business challenge: identifying and resolving duplicate product listings across Marketplace and traditional sellers using AI-driven solutions. This role is central to helping the client clean up and scale their product catalog across 30+ categories, each with 10,000+ images. You'll be expected to build and productionize models that can intelligently compare product images and text descriptions to detect duplicates and inconsistencies, leveraging both traditional ML and the latest GenAI techniques. Key Responsibilities Build and deploy scalable Computer Vision pipelines to identify near-duplicate product images across millions of listings. Use Natural Language Processing to match product descriptions and titles with associated images. Leverage LLMs and multimodal GenAI models (e.g., BLIP, CLIP, LLaVA, Gemini, GPT-4V) to solve alignment problems between images and text. Design and implement MLOps and LLMOps pipelines for deploying both traditional ML models and GenAI solutions in production. Perform large-scale image embedding generation , storage, and similarity search using tools like FAISS , Milvus , or pgvector . Use BigQuery and write optimized SQL queries for data preprocessing and analytics. Collaborate with product managers, data engineers, and cloud architects to scale the solution across new product categories. Required Skills 6+ years of hands-on experience in Machine Learning or Data Science roles. Deep expertise in Computer Vision (image deduplication, embedding models, similarity search). Strong understanding of NLP with experience aligning image and text modalities. Exposure to Generative AI/LLMs and how they can be used in multimodal tasks. Experience deploying ML/GenAI models using MLOps/LLMOps best practices (CI/CD, monitoring, versioning). Proficient in Python , TensorFlow/PyTorch , OpenCV , and transformers libraries (e.g., Hugging Face). Familiarity with GCP ecosystem especially BigQuery , Cloud Storage , Vertex AI , Cloud Functions . Strong SQL skills and understanding of data pipelines. Previous experience growing from a Data Scientist role is highly desirable. Good to Have Hands-on with Vector Databases like Milvus, Pinecone, or pgvector. Knowledge of retrieval-augmented generation (RAG) pipelines for GenAI solutions. Familiarity with tools like LangChain , Unstructured.io , or Haystack . Understanding of image compression, image hashing, and perceptual similarity techniques. Why Join Us Work on a high-impact retail AI problem at enterprise scale. Collaborate with a forward-thinking client open to innovation. Join a team where your work directly translates to business value. Flexible hybrid working model in Bangalore with a passionate AI team. Ready to create innovative solutions with computer vision, NLP, and GenAI in retail? Apply now by sending your resume and cover letter to sathishkumar.arumugam@factspan.com.

Position: Senior Manager marketing Analytics Bengaluru, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Responsibilities We are seeking an experienced and dynamic Senior Manager, Marketing Analytics to lead our team in delivering innovative data analytics, Marketing Analytics (Market Mix Modelling), MMM solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills. As a Senior Manager, Delivery, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes. Key Responsibilities: Technical: Previous hands-on experience in the Data Analytics field, preferably in Marketing analytics, Market Mix Modelling Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps. Overall 9+ years of experience, progressively moving from technical roles to delivery management positions. Business: Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model. Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives. Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Behavioural: Demonstrate passion for the role and commitment to the company's objectives. Stay updated with the latest technological trends and demonstrate strong technical acumen. Possess excellent written and verbal communication skills. Utilize analytical and creative thinking skills to solve complex problems. Foster a collaborative team environment and exhibit self-driven initiative. Demonstrate strong problem-solving abilities and ability to navigate challenges effectively. Qualifications: Minimum 4 years Bachelor's degree Proven track record of successfully delivering medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Experience managing geographically distributed teams in an agile delivery model. Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical expertise, and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.. Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with great opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Embark on an exciting journey with a team that innovates solutions, tackles challenges head-on and crafts a vibrant work environment.

Position: Senior Manager (Data Science) Bengaluru, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Responsibilities We are seeking an experienced and dynamic Senior Manager, Data Science to lead our team in delivering innovative data science solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills. As a Senior Manager, Data Science, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes. Key Responsibilities: Technical: Previous hands-on experience in the Data Science field Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps. Overall 9+ years of experience, progressively moving from technical roles to delivery management positions. Business: Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model. Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives. Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Behavioural: Demonstrate passion for the role and commitment to the company's objectives. Stay updated with the latest technological trends and demonstrate strong technical acumen. Possess excellent written and verbal communication skills. Utilize analytical and creative thinking skills to solve complex problems. Foster a collaborative team environment and exhibit self-driven initiative. Demonstrate strong problem-solving abilities and ability to navigate challenges effectively. Qualifications: Minimum 4 years Bachelor's degree Proven track record of successfully delivering medium to complex projects in Data Science Experience managing geographically distributed teams in an agile delivery model. Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical expertise, and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.. Why Should You Apply? People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Embark on an exciting journey with a team that innovates solutions, tackles challenges head-on and crafts a vibrant work environment. Grow with Us: Be part of a hyper- growth startup with great opportunities to Learn & Innovate.

Job Overview (Primary Skills - GCP, Kubeflow, Python, Vertex.ai) As a Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems. This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations. What You Will Do Work with data science leadership and stakeholders to understand business objectives, map the scope of work, and support colleagues in achieving technical deliverables. Invest in strong relationships with colleagues and build a successful followership around a common goal. Build and optimize ML pipelines for feature engineering, model training, and inference. Develop low-latency, high-throughput model endpoints for distributed environments. Maintain cloud infrastructure for ML workloads, including GPUs/TPUs, across platforms like GCP, AWS, or Azure Troubleshoot, debug, and validate ML systems for performance and reliability. Write and maintain automated tests (unit and integration). Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions. Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation. Skills You Will Need Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for colleagues. Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. Developing effective communication plans tailored to diverse audiences. Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint when developing solutions. Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java. Who You Are 5+ years of industry experience working with machine learning tools and technologies. Familiarity with agile development frameworks and collaboration tools (e.g., JIRA, Confluence). Experience using Tensorflow, PyTorch, scikit-learn, Kubeflow, pandas and numpy. and frameworks like Ray, Dask preferred. Expertise in data engineering, object-oriented programming, and familiarity with microservices and cloud technologies. An ongoing learner who seeks out emerging technology and can influence others to think innovatively. Gets energized by fast-paced environments and capable of supporting multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timelines to team members. Dedicated to fulfilling ideals of diversity, inclusion, and respect that the client aspire to achieve every day in every way. Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

Location : Bengaluru (Hybrid) / Remote Job Type : Full-time Experience Required : 5+ Year Notice Period : immediate -30 days Role Overview : As a Collibra Expert, you will be responsible for implementing, maintaining, and optimizing the Collibra Data Governance Platform to ensure data quality, governance, and lineage across the organization. You will partner with cross-functional teams to develop data management strategies and integrate Collibra solutions with Google Cloud Platform (GCP) to create a robust, scalable, and efficient data governance framework for the retail domain. Key Responsibilities : - Data Governance Management : Design, implement, and manage the Collibra Data Governance Platform for data cataloging, data quality, and data lineage within the retail domain. - Collibra Expertise : Utilize Collibra for metadata management, data quality monitoring, policy enforcement, and data stewardship across various business units. - Data Cataloging : Lead the implementation and continuous improvement of data cataloging processes to enable a centralized, user-friendly view of the organization's data assets. - Data Quality Management : Collaborate with business and technical teams to ensure that data is high-quality, accessible, and actionable. Define data quality rules and KPIs to monitor data accuracy, completeness, consistency, and timeliness. - Data Lineage Implementation : Build and maintain comprehensive data lineage models to visualize the flow of data from source to consumption, ensuring compliance with data governance standards. - GCP Integration : Architect and implement seamless integrations between Collibra and the Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, and Cloud Storage, ensuring data governance policies are enforced in the cloud environment. - Collaboration & Stakeholder Management : Collaborate with Data Engineers, Analysts, Business Intelligence teams, and leadership to define and implement data governance best practices and standards. - Training & Support : Provide ongoing training and support to business users and technical teams on data governance practices, Collibra platform usage, and GCP-based solutions. - Compliance & Security : Ensure data governance initiatives comply with internal policies, industry standards, and regulations (e.g., GDPR, CCPA). Key Requirements : - Proven Expertise in Collibra : Hands-on experience implementing and managing Collibra Data Governance Platform (cataloging, lineage, data quality). - Google Cloud Platform (GCP) Proficiency : Strong experience with GCP tools (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and integrating them with Collibra for seamless data governance. - Data Quality and Lineage Expertise : In-depth knowledge of data quality frameworks, metadata management, and data lineage implementation. - Retail Industry Experience : Prior experience in data governance within the retail or eCommerce domain is a plus. - Technical Skills : Strong understanding of cloud data architecture and best practices for managing data at scale in the cloud (preferably in GCP). - Problem-Solving and Analytical Skills : Ability to analyze complex data governance issues and find practical solutions to ensure high-quality data management across the organization. - Excellent Communication Skills : Ability to communicate effectively with both technical and non-technical stakeholders to advocate for data governance best practices. - Certifications : Relevant certifications in Collibra, Google Cloud, or Data Governance are highly desirable. Education & Experience : - Bachelor's degree (B. Tech/BE) mandatory, masters optional - 5+ years of experience in Data Governance, with at least 3 years of specialized experience in Collibra and GCP. - Experience working with data teams in a retail environment is a plus.

Role Overview We are seeking a skilled System Administrator to manage and support IT infrastructure, focusing on asset allocation, laptop imaging, and first-level developer support. The ideal candidate will be responsible for maintaining IT assets, ensuring seamless configuration and deployment of laptops, and providing essential technical assistance to developers. Key Responsibilities: Asset Allocation & Management: Track, allocate, and manage IT assets, including laptops, desktops, and peripherals. Maintain inventory and ensure proper documentation of all IT assets. Ensure timely deployment and retrieval of IT equipment. Laptop Imaging & Configuration: Develop, maintain, and deploy standardized OS images for laptops and desktops. Configure system settings, drivers, and required applications. Troubleshoot imaging failures and ensure compliance with security policies. First-Level Development Support: Provide initial troubleshooting support for developers on system-related issues. Assist in setting up development environments, including software installations and configurations. Work with the development team to address connectivity and performance issues. General IT Support: Respond to and resolve IT support tickets in a timely manner. Ensure security and compliance policies are followed across all IT operations Required Skills and Qualifications: Bachelor's degree in IT, Computer Science, or a related field (or equivalent experience). 2+ years of experience in IT asset management, system administration, or related roles. Proficiency in laptop imaging tools (e.g., SCCM, MDT, Ghost, Intune). Basic knowledge of development environments (IDEs, databases, version control systems). Strong troubleshooting and problem-solving skills. Good understanding of Windows and macOS system administration. Familiarity with IT security practices and compliance standards

Job Description As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail clientenabling consistency, modularity, observability, and readiness for GenAI-driven innovation. You’ll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI workloads. Responsibilities: Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or opensource stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/incontext learning methods. Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. Mentor engineering teams in code best practices, versioning, and LLM lifecycle maintenance. Key Skills: Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and modelserving platforms. Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization Experience managing compute, memory, and storage requirements of LLMs across GCP, Azure, or AWS environments Qualifications & Experience: 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. Clear communicator who collaborates well with business, data science, and DevOps teams. Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. Curious and future-facing—always exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale

Job Title: UI/UX Consultant (Full Time - Internal) Location: Bangalore, India (Hybrid) Company: Factspan Analytics Job Description Key Responsibilities AI Product Design: Collaborate with product teams to create user-centered designs for AI-driven applications, focusing on usability, accessibility, and performance. Data Product Design: Design interfaces for data-intensive applications, ensuring complex data is presented in an understandable and actionable manner. Collaborate with Business Consultants, Data Engineers, and Designers: Work closely with professionals from various disciplines to understand project requirements and conceptualize intuitive solutions. By keeping the user in mind, create pixel-perfect designs that deliver delightful experiences. Lead with user-centricity: Translate peoples needs into design elements and explain the why of your choices to non-design audiences (e.g., clients and technical teammates) Design and Iterate: Employ a range of design techniques and tools, such as sketches, wireframes, information architecture, mock-ups, and user testing to iterate on designs quickly. Adapt to short timeframes while maintaining attention to detail and precision. Effective Communication: Clearly communicate design concepts and ideas to clients and internal stakeholders. Utilize presentations and design artifacts to articulate the rationale behind design decisions, ensuring a shared understanding and alignment. Factspan Design System: Familiarize yourself with the Factspan design system and leverage its components and guidelines to design solutions. Contribute to the enhancement of the design system by providing valuable insights and suggestions based on your expertise and experiences. We are seeking a candidate who possesses the following qualifications: Proven Track Record: Demonstrated experience in creating delightful user experiences for enterprise products or solutions, with a minimum of 4 years of work experience. For a senior role, a minimum of 5-6 years of work experience. Strong Communication Skills: Excellent ability to communicate your design ideas, ensuring clear and effective communication through your design process with stakeholders. Data Visualization Expertise: Proficiency in converting complex data into easyto-understand visuals. Show your skill in presenting data in meaningful and visually appealing ways. Engaging Storytelling: Skill in translating complex abstract ideas into engaging stories using effective visuals. Highlight your ability to craft compelling narratives through your design work. UX Design Essentials: Solid practical knowledge of core user experience principles, keeping up with technological advancements and advancing interaction paradigms in an AI-driven environment. Proficiency in Design Tools: Proficient in working with design tools such as Figma, Adobe XD, or similar software and ability to learn and infuse AI tools in the design process. Attention to Detail: Exceptional attention to detail, ensuring high-quality and pixel-perfect designs. Iterative Mindset: Enthusiasm for iteration and improvement, displaying humility to objectively consider design critique and take prompt action. Self-Motivation and Passion: Self-driven with a genuine passion for the field of UI/UX design and a desire to stay updated with the latest trends and advancements. AI Savvy: Excitement to work in a dynamic environment that is changing everyday with new AI tools that push the design craft and imagination. Exposure to Generative AI tools such as MidJourney, DALL-E, ChatGPT and other similar software to infuse into the designs and design process. Qualifications: Bachelors or Masters degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field. At least 4 years of experience in UX design, with a focus on Conversational AI, AI products, and data-driven applications. Proficiency in design tools such as Figma, Sketch, Adobe XD, and prototyping tools like InVision or Axure. Experience with conversational AI platforms (e.g., Dialogflow, Rasa, IBM Watson) and understanding of natural language processing (NLP) concepts. Strong portfolio demonstrating expertise in designing AI-driven and data-intensive applications. Excellent communication and collaboration skills, with the ability to articulate design decisions and rationale. Familiarity with Agile methodologies and experience working in cross-functional teams. Preferred Skills: Experience with machine learning concepts and how they influence user experience design. Knowledge of accessibility standards and inclusive design practices. Experience in designing for enterprise-level AI applications and data platforms. Why Join Us Work on a high-impact AI problem at enterprise scale. Collaborate with a forward-thinking, open-to-innovation. Join a team where your work directly translates to business value. Flexible hybrid working model in Bangalore with a passionate AI team. Ready to shape the future of internal AI tools with intuitive design? Apply now to be our UI/UX Consultant by sending your resume to sathishkumar.arumugam@factspan.com .

Position: Senior Principal Engineer Hyderabad, Telangana Factspan Overview Factspan is a pure-play data and analytics services organization. We partner with Fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and, implement new processes that help them succeed. With offices in Seattle, Washington and, Bengaluru, India. We use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Key Responsibilities: Design, develop, test, deploy and maintain application code Contribute to the architectural design and direction of the technical infrastructure Develop and support application modules and features Participate in the design process to build efficient, scalable and maintainable architecture Research, evaluate and recommend alternative solutions Write unit/integration tests Collect and analyze metrics to drive implementation decisions Design, improve and document processes Review and collaborate with other engineers on their code Support your team through encouragement and by example Mentor and share knowledge within the team and across the department Deliver on personal and team deadlines and goals Required Skills / Experience: Bachelor's degree in computer science, engineering or other related engineering fields Overall, 9-12 years of professional experience in application development Minimum of 5 years of hands-on experience with AWS Services, React Native Strong understanding of both functional and object-oriented programming paradigms Strong understanding of SOLID design principles Desire to innovate and discover new technologies Comfortable working with multiple programming languages at the same time Development and troubleshooting of complex SQL Understanding of REST principles Experience with Agile development methodologies Strong communication and presentation skills Excellent organizational skills, detail-oriented, and works well in a team environment or as an independent contributor Ability to work within a team environment Driven to continually learn and master new skills Preferred Skills: Full stack development in languages such as Python, React, React Native, etc. Proficiency in AWS services: EC2, S3, Lambda, RDS, CloudFormation, ECS/EKS, VPC, IAM, Kinesis, etc. Experience with CI/CD pipelines, DevOps practices, Infrastructure as Code(Terraform/CloudFormation) Experience with serverless architectures using AWS Lambda. Experience with NoSQL databases like DynamoDB or document-based databases Familiarity with security best practices in cloud environments (Auth0) Caching and in-memory database technologies Work with responsive design frameworks Experience with microservices, SOA, and/or distributed architectures Open-source software and dependency management Caching and in-memory database technologies Asynchronous/multi-threaded programming patterns AWS certifications (e.g., AWS Certified Developer Associate, AWS Certified Solutions (edited)

Job Title: Release Manager (Full Time - Internal) Location: Bangalore, India (Hybrid) Company: Factspan Analytics Job Description Responsibilities: To ensure that engineering meets timelines and prepares releases ahead of time as per the release checklist and schedule. To work with Dev/Product leads and create change tasks and attend CAB meetings for approvals. Ensure all the changes are reviewed and meet standards, dependencies added as CTASK To ensure code, impact analysis, and merge requests are ready for release, work along with the data engineering team on review call. To ensure validations (Syntax, performance, unit and Integration/load testing) is followed in Development. To work with Dev leads to merge changes to Production in Git. To produce deployment checklist and run books plans for Data Engineering team To conduct Transition to Production support team before release schedule. To validate release notes and send release email to Business, Downstream users, Data Engineering and Production Support team. To ensure post deployment validation is performed by Data Engineering team Experience working as team and good at Team management. Work on Release Automation (Integrations needed for Jira, ServiceNow, auto UAT test deployment setup(work with QA team) etc) Layout plan for releases on GCP platform. Call out Risks/conduct rollbacks in prod Requirements: Experience working with service now, Jira Hands-on experience with Incident and problem management; 5+ years of experience working as Release Manager. Basic experience or knowledge on Azure/GCP platform. Good experience working with Jenkins, other CI/CD tools and GitHub; Experience in reviewing code, Impact analysis, validations and merge requests on development and Master branch in Git. Experience working in confluence/ Wiki for documentation Exhibits a strong sense of urgency for high severity Incidents/Issues. Able to assess the customer impact and work along with Dev teams for tactical solutions; Join Us as a Release Manager - Are you driven by precision, planning, and seamless delivery? We're looking for a Release Manager to orchestrate the deployment of our cutting-edge. If you're ready to lead impactful releases and streamline innovation, we'd love to hear from you. Send your resume to sathishkumar.arumugam@factspan.com .

Notice Period : immediate -30 days Role Overview : As a Collibra Expert, you will be responsible for implementing, maintaining, and optimizing the Collibra Data Governance Platform to ensure data quality, governance, and lineage across the organization. You will partner with cross-functional teams to develop data management strategies and integrate Collibra solutions with Google Cloud Platform (GCP) to create a robust, scalable, and efficient data governance framework for the retail domain. Key Responsibilities : - Data Governance Management : Design, implement, and manage the Collibra Data Governance Platform for data cataloging, data quality, and data lineage within the retail domain. - Collibra Expertise : Utilize Collibra for metadata management, data quality monitoring, policy enforcement, and data stewardship across various business units. - Data Cataloging : Lead the implementation and continuous improvement of data cataloging processes to enable a centralized, user-friendly view of the organization's data assets. - Data Quality Management : Collaborate with business and technical teams to ensure that data is high-quality, accessible, and actionable. Define data quality rules and KPIs to monitor data accuracy, completeness, consistency, and timeliness. - Data Lineage Implementation : Build and maintain comprehensive data lineage models to visualize the flow of data from source to consumption, ensuring compliance with data governance standards. - GCP Integration : Architect and implement seamless integrations between Collibra and the Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, and Cloud Storage, ensuring data governance policies are enforced in the cloud environment. - Collaboration & Stakeholder Management : Collaborate with Data Engineers, Analysts, Business Intelligence teams, and leadership to define and implement data governance best practices and standards. - Training & Support : Provide ongoing training and support to business users and technical teams on data governance practices, Collibra platform usage, and GCP-based solutions. - Compliance & Security : Ensure data governance initiatives comply with internal policies, industry standards, and regulations (e.g., GDPR, CCPA). Key Requirements : - Proven Expertise in Collibra : Hands-on experience implementing and managing Collibra Data Governance Platform (cataloging, lineage, data quality). - Google Cloud Platform (GCP) Proficiency : Strong experience with GCP tools (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and integrating them with Collibra for seamless data governance. - Data Quality and Lineage Expertise : In-depth knowledge of data quality frameworks, metadata management, and data lineage implementation. - Retail Industry Experience : Prior experience in data governance within the retail or eCommerce domain is a plus. - Technical Skills : Strong understanding of cloud data architecture and best practices for managing data at scale in the cloud (preferably in GCP). - Problem-Solving and Analytical Skills : Ability to analyze complex data governance issues and find practical solutions to ensure high-quality data management across the organization. - Excellent Communication Skills : Ability to communicate effectively with both technical and non-technical stakeholders to advocate for data governance best practices. - Certifications : Relevant certifications in Collibra, Google Cloud, or Data Governance are highly desirable. Education & Experience : - Bachelor's degree (B. Tech/BE) mandatory, masters optional - 5+ years of experience in Data Governance, with at least 3 years of specialized experience in Collibra and GCP. - Experience working with data teams in a retail environment is a plus.

Responsibilities We are seeking an experienced and dynamic Senior Manager, Data Science to lead our team in delivering innovative data science solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills. As a Senior Manager, Data Science, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes. Key Responsibilities: Technical: Previous hands-on experience in the Data Science field Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps. Overall 9+ years of experience, progressively moving from technical roles to delivery management positions. Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model. Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives. Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Demonstrate passion for the role and commitment to the company's objectives. Stay updated with the latest technological trends and demonstrate strong technical acumen. Possess excellent written and verbal communication skills. Utilize analytical and creative thinking skills to solve complex problems. Foster a collaborative team environment and exhibit self-driven initiative. Demonstrate strong problem-solving abilities and ability to navigate challenges effectively. Qualifications: Minimum 4 years Bachelor's degree Proven track record of successfully delivering medium to complex projects in Data Science Experience managing geographically distributed teams in an agile delivery model. Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical expertise, and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity.

Position: Release Manager Bengaluru, Karnataka Key Responsibilities: To Ensure that Engineering meet timelines and prepare releases ahead of time as per release checklist and schedule To work with Dev/Product leads and create Change tasks and attend CAB meeting for approvals. Ensure all the changes are reviewed and meet standards, dependencies added as CTASK To ensure code, Impact analysis and merge requests ready for release, work along with Data Engineering team on review call. To ensure validations (Syntax, performance, unit and Integration/load testing) is followed in Development. To work with Dev leads to merge changes to Production in Git. To produce deployment checklist and run books plans for Data Engineering team To conduct Transition to Production support team before release schedule. To validate release notes and send release email to Business, Downstream users, Data Engineering and Production Support team. To ensure post deployment validation is performed by Data Engineering team Experience working as team and good at Team management. Work on Release Automation (Integrations needed for Jira, ServiceNow, auto UAT test deployment setup (work with QA team) etc) Layout plan for releases on GCP platform. Call out Risks/conduct rollbacks in prod Requirements: Experience working with service now, Jira Hands-on experience with Incident and problem management. 5+ years of experience working as Release Manager. Basic experience or knowledge on Azure/GCP platform. Good experience working with Jenkins, other CI/CD tools and GitHub. Experience in reviewing code, Impact analysis, validations and merge requests on development and Master branch in Git. Experience working in confluence/ Wiki for documentation Exhibits a strong sense of urgency for high severity Incidents/Issues. Able to assess the customer impact and work along with Dev teams for tactical solutions.