Job Overview 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. Youll 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 : 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 open-source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in-context 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 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 model-serving 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 & 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-facingalways exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale (ref:hirist.tech) Show more Show less

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 tech nology 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? Grow with Us: Be part of a hyper- growth startup People: Join hands with the talented, warm, Buoyant Culture: Embark on an exciting journey with a team with great opportunities to Learn & Innovate collaborative team and highly accomplished leadership that innovates solutions, tackles challenges head-on and crafts a vibrant work environment. Factspan Analytics Vaishnavi Tech Park, 2nd Floor, South Block SY no-16/1, Bellandur Gate, Sarjapur - Marathahalli Rd, Ambalipura, Bengaluru, Karnataka 560102

Location: Bangalore, Karnataka Factspan Overview: Factspan is a pure play analytics 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 Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. 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 client—enabling 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 open- source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in- context 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. 2nd Floor, South Block, Vaishnavi Tech Park, Ambalipura, Sarjapur Marathahalli Rd, Bengaluru, Karnataka 560102 info@factspan.com 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 model- serving 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 Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with ample number of opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Regular activities like Fun-Fridays, Sports tournaments, Trekking and you can suggest few more after joining us 2nd Floor, South Block, Vaishnavi Tech Park, Ambalipura, Sarjapur Marathahalli Rd, Bengaluru, Karnataka 560102 info@factspan.com

Bangalore, 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 Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Job Description:  Engage with potential clients to understand their data science & analytics needs and challenges, acting as a trusted advisor  Craft innovative data science and AI solutions that address client’s needs  Design end-to-end AI/ML and advanced analytics architectures  Create compelling proposals and presentations that communicate our value proposition effectively  Present solutions to C-level executives and technical stakeholders, articulating business value and technical feasibility  Stay informed about emerging trends in AI/ML, deep learning, cloud computing, and modern data architectures to influence solution strategy  Partner with Product engineering, and delivery teams to ensure alignment between solutions and execution capabilities  Develop reusable frameworks, accelerators, best practices and participate in thought leadership activities Qualifications & Experience:  14+ years of experience in data science, AI/ML or enterprise analytics, with at least 5 years in solution architecture role  Proven expertise in designing and architecting AI/ML and data science solutions across modern cloud platforms (AWS, Azure, GCP) and big data ecosystems  Hands-on knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), data science platforms (Databricks, Snowflake, SageMaker), and data visualization tools  Strong understanding of MLOps, model governance, data governance, security, and compliance considerations  Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences  Strong problem-solving and adaptability skills with an ability to work independently and as part of a team Behavioral Skills:  Take ownership and accountability of outcomes, ensuring successful solution delivery and client satisfaction  Exhibit excellent written and verbal communication skills, effectively conveying complex information  Demonstrate strong problem-solving abilities, addressing challenges with innovative solutions  Foster a collaborative team environment and show self-driven initiative to achieve goals If you are passionate about leading teams to deliver impactful data science, AI/ML or analytics solutions, possess strong technical and consulting expertise, and are committed to achieving exceptional client satisfaction, 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? Buoyant Culture: Embark on an Grow with Us: Be part of a hyper- People: Join hands with the talent- ed, warm, collaborative team and highly exciting journey with a team that growth startup with ample accomplished leadership. innovates solutions everyday, opportunities to Learn & Innovate. tackles challenges head-on and crafts a vibrant work environment.

Bangalore, 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 pro-cesses that help them succeed. With offices in Seattle, Washington and Bangalore, India; we usea global delivery model to service our customers. Our customers include industry leaders fromR etail, Financial Services, Hospitality, and technology sectors. Job Description: Develop and execute pre-sales strategies to drive revenue growth and expand the client base. Engage with potential clients to understand their needs and challenges, acting as a trusted advisor. Design data analytics and ML engineering solutions that align with clients' objectives. Create compelling proposals and presentations that communicate our value proposition effectively. Stay informed about industry trends and competitor offerings to ensure our solutions remain competitive. Collaborate with sales, delivery, and technical teams for seamless project execution. Lead RFP and RFI responses and participate in thought leadership activities. Strong communication and presentation skills The ability to work independently and as part of a team. A passion for data and analytics Minimum 10 years of experience in data analytics and data engineering, with 5 years in pre-sales or client- facing roles. In-depth knowledge of data analytics tools, methodologies, and best practices. Excellent communication skills and leadership abilities. Strong problem-solving and adaptability skills. Proven track record in building and maintaining client relationships. Business acumen and understanding of data-driven value creation. Behavioral Skills: Take ownership and accountability of outcomes, ensuring successful project delivery and client satisfaction. Exhibit excellent written and verbal communication skills, effectively conveying complex information. Demonstrate strong problem-solving abilities, addressing challenges with innovative solutions. Foster a collaborative team environment and show self-driven initiative to achieve goals. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical and consulting expertise, and are committed to achieving exceptional client satisfaction, 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 talent- Buoyant Culture: Embark on an Grow with Us: Be part of a ed, warm, collaborative team and exciting journey with a team hyper- growth startup with highly accomplished leadership. that innovates solutions ample number of everyday, tackles challenges opportunitiest o Learn & head-on and crafts a vibrant Innovate. work environment

Bangalore, 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 pro-cesses that help them succeed. With offices in Seattle, Washington and Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Job Description : We are looking for a highly skilled and motivated Senior Director, Delivery to join our team and lead our efforts in delivering exceptional data analytics solutions. The ideal candidate will have extensive experience in data engineering, data science, or strategic business analytics, along with a proven track record in consulting and delivery management. As a Senior Director, Delivery, you will be responsible for overseeing the end-to-end delivery of multiple medium-scale and complex projects, managing high-performing teams, and ensuring exceptional client satisfaction through high-quality deliverables. Key Responsibilities. Functional Skills: Solve specific problems end-to-end, ensuring comprehensive and effective solutions. Create and present strategic solutions to clients, addressing their unique business needs. Successfully manage and deliver multiple medium-scale and complex projects. Demonstrate exceptional delivery and team management skills, ensuring high performance and efficiency. Technical Skills : Hands-on experience in the Data Analytics field, preferably in Data Engineering, Data Science, or strategic business analytics. Preferred certifications in Data Analytics to showcase expertise and commitment to the field. Overall 12+ years of experience, with a progression from technical roles to consulting and delivery management positions. Lead business and technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Build and maintain strong relationships with senior stakeholders (Director/VP level) from the client side. Maintain a razor-sharp focus on customer Net Promoter Score (NPS) through four pillars: Quality of Deliverables, Timeliness, Technical Rigor, and Business Grasp. Behavioral Skills: Take ownership and accountability of outcomes, ensuring successful project delivery and client satisfaction. Exhibit excellent written and verbal communication skills, effectively conveying complex information. Demonstrate strong problem-solving abilities, addressing challenges with innovative solutions. Foster a collaborative team environment and show self-driven initiative to achieve goals. Qualifications: Minimum 4 years Bachelor's degree. Proven track record of successfully delivering multiple medium-scale and complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Experience in consulting and delivery management, with the ability to lead and inspire high-performing teams. Exceptional leadership and stakeholder management skills, with the ability to build relationships with senior stakeholders. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical and consulting expertise, and are committed to achieving exceptional client satisfaction, 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 Buoyant Culture: Embark on an exciting journey with a Grow with Us: Be part of a talent- ed, warm, collaborative hyper- growth startup with team and highly accomplished team that innovates solutions everyday, tackles ample number of opportunities leadership. challenges head-on and to Learn & Innovate. crafts a vibrant work environment

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 the retail, financial services, hospitality, and technology sectors. 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. If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry Why Should You Apply? People: Join hands with the talented, Buoyant Culture: Embark on an Grow with Us: Be part of a hyper- growth warm, collaborative team and highly exciting journey with a team startup with great opportunities to Learn that innovates solutions, & Innovate. accomplished leadership. tackles challenges head-on and crafts a vibrant work environment .

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 communications 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) If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry. Why Should You Apply? Grow with Us: Be part of a hyper- growth startup People: Join hands with the talented, warm, Buoyant Culture: Embark on an exciting journey with a team with great opportunities to Learn & Innovate collaborative team and highly accomplished leadership that innovates solutions, tackles challenges head-on and crafts a vibrant work environment. Factspan Analytics Vaishnavi Tech Park, 2nd Floor, South Block SY no-16/1, Bellandur Gate, Sarjapur - Marathahalli Rd, Ambalipura, Bengaluru, Karnataka 560102

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. Role Overview Were looking for a Legacy Jenkins Engineer who will maintain, optimize, and eventually modernize legacy Jenkins-based CI pipelines for enterprise applications. The role includes managing freestyle and scripted Jenkins jobs, integrating with Git repositories, and contributing to the migration effort toward GitLab CI and YAML-based declarative pipelines. You will be a key contributor in ensuring stability while driving innovation as part of a cross-functional DevOps POD. Key Responsibilities Manage and enhance legacy Jenkins pipelines, including Freestyle, Pipeline (Groovy), and multi-branch jobs. Maintain scripted job logic and address performance/stability issues across multiple environments. Collaborate with SCM and application teams to manage job triggers, SCM polling, build chaining, and post-build actions. Support integration with Git, SonarQube, Artifactory, Maven, and uDeploy. Lead the migration of legacy Jenkins jobs to modern GitLab CI YAML templates and reusable pipeline modules. Create shared libraries for common CI workflows and enforce pipeline standardization. Write and maintain Groovy scripts for complex build automation and shared utilities. Implement logging, error tracking, and pipeline dashboards for visibility and troubleshooting. Ensure CI processes support code quality gates, secure scanning, and audit compliance. Work with the uDeploy team for downstream deployment orchestration and rollback strategies. Key Skills CI Tools : Jenkins (Freestyle, Groovy pipelines), GitLab CI (basic knowledge or migration interest) Scripting : Groovy, Bash, Shell SCM & Build : Git, GitLab, Maven, Artifactory, SonarQube Pipeline Management : Shared libraries, folder structures, scripted condition handling Monitoring & Debugging : Jenkins logs, Job history analysis, failure pattern identification Soft Skills : Attention to legacy systems, documentation discipline, steady-state support experience. Required Qualifications Bachelors degree in computer science, Information Technology, or a related field (or equivalent experience). Experience in CI pipeline rationalization/consolidation projects. Hands-on experience in GitLab CI migration and template design. Familiarity with containerization (Docker) and basic Kubernetes CI practices. Understanding of Retail app release cycles, especially seasonal traffic prep. Cross-team collaboration mindset with NOC, DevOps, and SRE teams (ref:hirist.tech)

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. Role Overview We are looking for a LLM Engineer with strong hands-on expertise in building GenAI applications, especially around Retrieval- Augmented Generation (RAG), vector stores, prompt engineering, and secure deployment of LLMs. As part of the offshore team, you will collaborate closely with onsite leads and U.S. client stakeholders to design and implement intelligent AI solutions at scale. Key Responsibilities: Design and develop LLM-driven applications for use cases such as customer support copilots, merchandising intelligence, document summarization, and internal productivity tools. Build scalable and secure RAG pipelines using LangChain, LlamaIndex, or similar frameworks. Integrate vector databases like FAISS, Weaviate, Milvus, or Pinecone for semantic search. Work with LLM APIs (OpenAI, Azure OpenAI, Mistral, Claude) and handle context engineering, chaining, and tool invocation. Develop APIs and backend services using Python, FastAPI, and manage deployment workflows using Docker/Kubernetes. Ensure clean logging, rate limiting, and data compliance for enterprise readiness. Collaborate with DevOps and data engineers to support CI/CD and monitor LLM pipeline performance. Work in agile delivery mode with daily scrums, sprint planning, and collaborative backlog grooming. Key Skills: Strong proficiency in Python and one or more GenAI frameworks (LangChain, LlamaIndex, or Haystack). Solid experience working with LLM APIs and prompt engineering. Hands-on exposure to vector databases and RAG implementation. Understanding of token usage, function calling, and context window constraints in LLMs. Familiarity with MLOps/DevOps deployment in cloud or on-prem environments (preferably Azure). Ability to work collaboratively with cross-location teams and communicate effectively with onsite stakeholders. Good to have Skills: Experience in building AI copilots or internal productivity tools. Familiarity with front-end tools like Streamlit or Gradio. Exposure to unstructured document processing or OCR. Retail domain knowledge is a plus. Required Qualifications: 3–5 years total experience in AI/ML/NLP. At least 1 year of hands-on LLM engineering experience. Bachelor’s or Master’s in Computer Science, Data Science, or related fields. If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry. Grow with Us: Be part of a hyper- growth startup People: Join hands with the talented, warm, collaborative with great opportunities to Learn & innovate. team and highly accomplished leadership. &

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. Role Overview We’re looking for a Legacy Jenkins Engineer who will maintain, optimize, and eventually modernize legacy Jenkins- based CI pipelines for enterprise applications. The role includes managing freestyle and scripted Jenkins jobs, integrating with Git repositories, and contributing to the migration effort toward GitLab CI and YAML-based declarative pipelines. You will be a key contributor in ensuring stability while driving innovation as part of a cross-functional DevOps POD. Key Responsibilities: Manage and enhance legacy Jenkins pipelines, including Freestyle, Pipeline (Groovy), and multi-branch jobs. Maintain scripted job logic and address performance/stability issues across multiple environments. Collaborate with SCM and application teams to manage job triggers, SCM polling, build chaining, and post-build actions. Support integration with Git, SonarQube, Artifactory, Maven, and uDeploy. Lead the migration of legacy Jenkins jobs to modern GitLab CI YAML templates and reusable pipeline modules. Create shared libraries for common CI workflows and enforce pipeline standardization. Write and maintain Groovy scripts for complex build automation and shared utilities. Implement logging, error tracking, and pipeline dashboards for visibility and troubleshooting. Ensure CI processes support code quality gates, secure scanning, and audit compliance. Work with the uDeploy team for downstream deployment orchestration and rollback strategies. Key Skills CI Tools: Jenkins (Freestyle, Groovy pipelines), GitLab CI (basic knowledge or migration interest) Scripting: Groovy, Bash, Shell SCM & Build: Git, GitLab, Maven, Artifactory, SonarQube Pipeline Management: Shared libraries, folder structures, scripted condition handling Monitoring & Debugging: Jenkins logs, Job history analysis, failure pattern identification Soft Skills: Attention to legacy systems, documentation discipline, steady-state support experience Required Qualifications: Experience in CI pipeline rationalization/consolidation projects. Hands-on experience in GitLab CI migration and template design. Familiarity with containerization (Docker) and basic Kubernetes CI practices. Understanding of Retail app release cycles, especially seasonal traffic prep. Cross-team collaboration mindset with NOC, DevOps, and SRE teams. If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry. Why Should You Apply? People: Join hands with the talent- Grow with Us: Be part of a Buoyant Culture: Embark on an ed, warm, collaborative team and hyper- growth startup with exciting journey with a team that highly accomplished leadership. ample number of opportunities innovates solutions everyday, to Learn & Innovate. tackles challenges head-on and crafts a vibrant work environment

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. Role Overview We are seeking an experienced JDA Administrator with a strong background in managing enterprise applications to join our offshore team. The ideal candidate will be responsible for overseeing the performance, upgrades, patching, and security of JDA or similar enterprise applications. Healthcare domain experience is a plus. Key Responsibilities: Administer and maintain JDA or other enterprise applications in a production and non-production environment. Perform patch upgrades, version updates, and other maintenance activities to ensure system stability and performance. Monitor application performance and availability; troubleshoot and resolve application-level issues. Manage user access and security roles, ensuring compliance with internal policies and best practices. Conduct validation and testing of patches and upgrades in coordination with relevant stakeholders. Collaborate with infrastructure, database, and application development teams to resolve issues and implement improvements. Create and maintain system documentation including standard operating procedures, upgrade plans, and incident reports. Participate in regular system audits and implement corrective actions as necessary. Support disaster recovery and business continuity efforts. Work in an offshore capacity with flexibility to overlap with onshore team hours as needed. Key Skills: Minimum 5 years of experience in enterprise application administration, preferably including JDA or similar systems. Solid understanding of application patching, upgrades, performance monitoring, and security management. Familiarity with Windows/Linux server environments, database concepts (Oracle, SQL Server), and ITIL practices. Strong analytical and problem-solving skills. Effective communication and collaboration skills in a remote work environment. Required Qualifications: Prior experience working in or supporting applications within the Healthcare domain. Exposure to ITIL-based service management tools (e.g., ServiceNow). Basic scripting skills (Shell, Python, or PowerShell) for automation and monitoring is a plus. If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry. Grow with Us: Be part of a hyper- growth startup People: Join hands with the talented, warm, collaborative with great opportunities to Learn & innovate. team and highly accomplished leadership. &

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 a highly skilled uDeploy Developer to manage and enhance deployment pipelines for enterprise applications. This role involves maintaining legacy IBM UrbanCode Deploy (uDeploy) systems, integrating with CI tools like Jenkins , collaborating with application and support teams, and supporting the phased transition to modern GitOps-based delivery using ArgoCD and GitLab . The candidate will be part of a larger DevOps transformation program closely aligned with SRE operations. Key Responsibilities: Develop & implement machine learning models & algorithms to extract insights from large datasets. Own, manage, and support end-to-end uDeploy pipelines for critical enterprise applications across multiple environments (DEV, QA, UAT, PROD). Build reusable templates and promote consistent deployment standards. Work with app teams to configure uDeploy components: processes, applications, environments, component versions. Create and manage pre/post-deployment scripts, environment variable mappings, and rollback plans. Integrate Jenkins CI jobs with uDeploy processes using REST APIs or plugins. Collaborate with DevOps engineers and architects to transition uDeploy-based pipelines to GitOps-native deployments using ArgoCD. Troubleshoot deployment failures and support L2/L3 incident resolution. Maintain deployment documentation, audit trails, and release notes for compliance and traceability. Work with Retail-specific tools and frameworks to enable seamless holiday/seasonal deployment readiness. Required Skills & Tools: Deployment Tools - IBM UrbanCode Deploy (uDeploy), UrbanCode CLI, Process Designer CI Tools – Jenkins, GitLab CI Scripting – Groovy, Shell, Python Version Control – Git Gitlab Containerization (Plus) - Docker, Helm, Kubernetes (basic awareness helpful) Infrastructure (Bonus) - GCP / AWS experience in context of deployments Monitoring/Logging (Bonus) - Splunk, AppDynamics (integration-level exposure preferred) Good to Have Experience in migrating uDeploy pipelines to ArgoCD or similar tools. Exposure to Retail domain CI/CD patterns and high-availability deployment scheduling. Familiarity with ITIL-based change management processes. Understanding of DevOps-SRE collaboration models. If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the futureo f data analytics and making a meaningful impact in the industry Why Should You Apply? Grow with Us: Be part of a hyper- growth People: Join hands with the talented, warm, Buoyant Culture: Embark on an exciting journey startup with great opportunities to Learn & collaborative team and highly accomplished with a team that innovates solutions, tackles Innovate. leadership. challenges head-on and crafts a vibrant work environment .