Gramener, A Straive Company

As a Lead/Sr. ServiceNow Developer at Gramener in Bengaluru (Whitefield), you will be part of a dynamic team that offers you an inviting workplace with talented colleagues from diverse backgrounds. You will have the opportunity for career growth and steady prospects with ample scope to innovate. The goal at Gramener is to create an ecosystem of easily configurable data applications focused on storytelling for both public and private use. Your primary responsibility will involve participating in the creation of new IT solutions or enhancements to existing solutions, from requirement gathering to launch, as part of a cross-functional team. You will be tasked with designing, developing, testing, troubleshooting, sustaining, and documenting software changes for new applications, enhancements, and defects. Your role will also include designing, developing, and implementing ServiceNow solutions based on business requirements. In this position, you will engage with global teams to effectively translate customer requirements into software requirements and identify optimized solutions within the constraints of the product. You will customize and configure ServiceNow modules, workflows, forms, and scripts to meet business needs, as well as develop integrations between ServiceNow and other systems to ensure seamless data flow and process automation. Additionally, you will design and implement ServiceNow UI policies, data policies, and access controls to uphold data integrity and security. To qualify for this role, you should hold a bachelor's or master's degree in computer science, Information Technology, or a related field. You must have at least 6 years of experience as a ServiceNow Developer with a successful track record of project implementations. Proficiency in configuring Business Rules, Client Scripts, UI Policies, UI Scripts, UI Actions, UI Pages, Script Includes, Access Control Lists, complex workflows, and solution migration to higher environments is required. Additionally, experience in ServiceNow integrations, workflows, SLAs, Import Sets, and Update Sets is essential. An in-depth understanding of IT Service Management (ITSM) and IT Operations Management (ITOM) processes is crucial for this role. You should possess strong analytical, problem-solving, and troubleshooting skills, as well as sound knowledge of Computer Science fundamentals including data structures, algorithms, and operating system concepts. ServiceNow certifications such as Certified Application Developer (CAD) or Certified System Administrator (CSA) are preferred. At Gramener, we specialize in providing strategic data consulting to organizations, enabling them to make data-driven decisions and convert data into a strategic differentiator. Our product and service offerings help analyze and visualize large amounts of data, contributing to informed decision-making processes.,

About Gramener Gramener is an award-winning, design-led data science company. Gramener helps solve complex business problems with compelling data stories using insights and a low-code AI-powered platform for clients across multiple industries, including Pharmaceuticals & Life Sciences, Logistics & Manufacturing, ESG, and Technology & Consulting. Gramener’s AI-led platform leverages Computer Vision, NLP (Natural Language Programming), NLG (Natural Language Generation), and Spatial Analytics. Gramener is part of Straive, a leader in helping organizations operationalize the data -> insights -> knowledge -> AI value chain. Website: https://gramener.com Summary As a Data Consultant, you will be driving strategy, business planning, advanced analytics, and liaison with business leads and cross functional teams to drive strategic growth initiatives, improve business performance and tracking market trends. Responsibilities Leadership : Lead client engagements for creating a data-based solutions and applications. Requirements Elicitation : Understand requirements, challenges, and opportunities by leveraging frameworks and conducting client interviews Data Analysis & Insights : Translate data analysis into actionable insights and recommendations to improve business processes, strategy, and decision-making. Solution : Translate client needs into analytics and data driven solutions and work with engineering and analytics teams to drive project implementation. Strategic Planning : Participate in the development and execution of the department's strategic plan, including setting clear objectives and goals. Project Management : Oversee and manage key projects, ensuring they are completed on time and within budget. Stakeholder Communication : Foster effective communication with internal and external stakeholders, ensuring alignment and collaboration. Continuous Improvement : Identify opportunities for process improvements and implement best practices to enhance efficiency and productivity Qualifications Master’s degree in business management from a premier institution Strong understanding of project lifecycles, requirement frameworks and solutioning skills Advanced understanding of SQL, Excel and understanding of Python preferred. Excellent problem-solving and critical-thinking skills. Strong communication skills with the ability to present complex data in a clear and concise manner. Attention to detail and a commitment to data accuracy. Team player with the ability to collaborate effectively with colleagues at all levels of the organization. Proficiency in MS office tools Basic understanding of statistical concepts and techniques. Eagerness to learn and adapt to new technologies and tools. A passion for data-driven decision-making. Note : We are looking for immediate joiners based in Hyderabad. Please apply only if you are available to join immediate.

Senior Data Scientist : GenAI Work Location : Hyderabad/Bangalore What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use Roles and Responsibilities You will help our clients solve real-world problems by tracing the data-to-insights lifecycle: Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data. Create, experiment with, and deliver innovative solutions in a consultative mindset to client stakeholders using textual data. Skills and Qualifications Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute. Total 7+ years of experience using analytical tools/languages like Python on large-scale data. Must have Semantic model & NER experience. Experience working with pre-trained models, awareness of state-of-the-art in embeddings, and applicability for use cases. Must have strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain, and GPT (or similar models), Open CV. Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering. Experience using Azure services for ML & GenAI projects is a plus. Demonstrated ability to engage with client stakeholders. Deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining. Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project.. Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning. Coding skills in one or more programming languages such as Python, SQL. Hands-on experience with popular ML frameworks such as TensorFlow. Expert/high level of understanding of language semantic concepts & data standardization. About us We help consult and deliver solutions to organizations where data is at the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data driven decision making, in order to equip organizations to convert data into a strategic differentiator. Through a host of our product and service offerings we analyse and visualize large amounts of data.

Tech Lead / Architect – Python Applications with GenAI Integration: We are seeking a highly experienced Tech Lead / Architect to drive the architecture and delivery of modern, scalable data applications powered by Generative AI (GenAI) . This role focuses on solution design, architectural leadership , and cross-functional collaboration across AI/ML platforms, backend engineering , and cloud-native infrastructure . While hands-on AI/ML development is not expected, candidates must demonstrate deep architectural understanding of the GenAI stack. A strong hands-on background in Python-based application development is essential. Key Responsibilities: Lead the end-to-end architecture and design of Python-based applications integrated with GenAI capabilities. Translate business and product requirements into modular, scalable, and maintainable technical solutions . Guide and mentor backend, infrastructure, and MLOps teams in implementing architecture blueprints. Evaluate and recommend the right mix of tools, frameworks, and platforms – including LLM providers , vector databases , and cloud-based ML services . Ensure the security, scalability, and performance of all deployed systems. Stay current with advancements in GenAI, and proactively bring relevant capabilities into solution design. Required Experience: 8+ years of experience in software engineering , with a minimum of 4 years in a technical leadership or architecture role . Proven track record in building robust Python-based backend systems , using frameworks such as FastAPI, Flask, or Django . Expertise in microservices architecture , distributed system design , and integration patterns . Strong familiarity with cloud platforms such as AWS, Azure, or GCP , and practical knowledge of AI/ML services like SageMaker , Vertex AI , or Azure ML . Architectural experience with vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant ) for semantic search and RAG pipelines. Understanding of DevOps practices , including Docker , Kubernetes , and infrastructure as code. Knowledge of CI/CD processes , system security , and observability/monitoring frameworks . GenAI & AI/ML Architecture Expertise: Sound understanding of GenAI system components , including LLM lifecycles , embedding generation , prompt orchestration , and RAG architectures . Ability to architect complete GenAI workflows , from context ingestion and enrichment to inference handling and post-processing. Familiarity with API orchestration , agent-based design patterns , and semantic search strategies. While direct data science work is not required, a strong grasp of AI/ML engineering principles and pipeline design is expected to ensure architecture aligns with model and data needs.

Tech Lead / Architect – Python, Gen AI Work Location : Hyderabad / Bangalore What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use Tech Lead / Architect – Python Applications with GenAI Integration We are seeking a highly experienced Tech Lead / Architect to drive the architecture and delivery of modern, scalable data applications powered by Generative AI (GenAI). This role focuses on solution design, architectural leadership, and cross-functional collaboration across AI/ML platforms, backend engineering, and cloud-native infrastructure. While we are not looking for hands-on AI/ML development, candidates must demonstrate deep architectural understanding of the GenAI stack. A strong hands-on background in developing Python-based applications is essential. Roles and Responsibilities Lead the end-to-end architecture and design of Python-based applications integrated with GenAI capabilities. Translate business and product requirements into modular, scalable, and maintainable technical solutions. Guide and mentor backend, infrastructure, and MLOps teams in implementing architecture blueprints. Evaluate and recommend the right mix of tools, frameworks, and platforms – including LLM providers, vector databases, and cloud-based ML services. Ensure the security, scalability, and performance of all deployed systems. Stay current with advancements in GenAI, and proactively bring relevant capabilities into solution design. Skills and Qualifications: 8+ years of experience in software engineering, with a minimum of 4 years in a technical leadership or architecture role. Proven track record in building robust Python-based backend systems, using frameworks such as FastAPI, Flask, or Django. Expertise in microservices architecture, distributed system design, and integration patterns. Strong familiarity with cloud platforms such as AWS, Azure, or GCP, and practical knowledge of AI/ML services like Sage Maker, Vertex AI, or Azure ML. Architectural experience with vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant) for semantic search and RAG pipelines. Understanding of DevOps practices, including Docker, Kubernetes, and infrastructure as code. Knowledge of CI/CD processes, system security, and observability/monitoring frameworks. GenAI & AI/ML Architecture Expertise: Sound understanding of GenAI system components, including LLM lifecycles, embedding generation, prompt orchestration, and RAG architectures. Ability to architect complete GenAI workflows, from context ingestion and enrichment to inference handling and post-processing. Familiarity with API orchestration, agent-based design patterns, and semantic search strategies. Direct data science work isn’t required, but a solid understanding of AI/ML engineering principles and pipeline design is essential to ensure the architecture supports model and data requirements. About us We help consult and deliver solutions to organizations where data is at the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data driven decision making, in order to equip organizations to convert data into a strategic differentiator. Through a host of our product and service offerings we analyse and visualize large amounts of data.

Senior Data Scientist : GenAI Work Location : Hyderabad/Bangalore What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use Roles and Responsibilities You will help our clients solve real-world problems by tracing the data-to-insights lifecycle: Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data. Create, experiment with, and deliver innovative solutions in a consultative mindset to client stakeholders using textual data. Skills and Qualifications Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute. Total 7+ years of experience using analytical tools/languages like Python on large-scale data. Must have Semantic model & NER experience. Experience working with pre-trained models, awareness of state-of-the-art in embeddings, and applicability for use cases. Must have strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain, and GPT (or similar models), Open CV. Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering. Experience using Azure services for ML & GenAI projects is a plus. Demonstrated ability to engage with client stakeholders. Deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining. Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project.. Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning. Coding skills in one or more programming languages such as Python, SQL. Hands-on experience with popular ML frameworks such as TensorFlow. Expert/high level of understanding of language semantic concepts & data standardization. About us We help consult and deliver solutions to organizations where data is at the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data driven decision making, in order to equip organizations to convert data into a strategic differentiator. Through a host of our product and service offerings we analyse and visualize large amounts of data. Show more Show less

About Gramener Gramener is an award-winning, design-led data science company. Gramener helps solve complex business problems with compelling data stories using insights and a low-code AI-powered platform for clients across multiple industries, including Pharmaceuticals & Life Sciences, Logistics & Manufacturing, ESG, and Technology & Consulting. Grameners AI-led platform leverages Computer Vision, NLP (Natural Language Programming), NLG (Natural Language Generation), and Spatial Analytics. Gramener is part of Straive, a leader in helping organizations operationalize the data -> insights -> knowledge -> AI value chain. Website: https://gramener.com Summary As a Data Consultant, you will be driving strategy, business planning, advanced analytics, and liaison with business leads and cross functional teams to drive strategic growth initiatives, improve business performance and tracking market trends. Responsibilities Leadership : Lead client engagements for creating a data-based solutions and applications. Requirements Elicitation : Understand requirements, challenges, and opportunities by leveraging frameworks and conducting client interviews Data Analysis & Insights : Translate data analysis into actionable insights and recommendations to improve business processes, strategy, and decision-making. Solution : Translate client needs into analytics and data driven solutions and work with engineering and analytics teams to drive project implementation. Strategic Planning : Participate in the development and execution of the department&aposs strategic plan, including setting clear objectives and goals. Project Management : Oversee and manage key projects, ensuring they are completed on time and within budget. Stakeholder Communication : Foster effective communication with internal and external stakeholders, ensuring alignment and collaboration. Continuous Improvement : Identify opportunities for process improvements and implement best practices to enhance efficiency and productivity Qualifications Masters degree in business management from a premier institution Strong understanding of project lifecycles, requirement frameworks and solutioning skills Advanced understanding of SQL, Excel and understanding of Python preferred. Excellent problem-solving and critical-thinking skills. Strong communication skills with the ability to present complex data in a clear and concise manner. Attention to detail and a commitment to data accuracy. Team player with the ability to collaborate effectively with colleagues at all levels of the organization. Proficiency in MS office tools Basic understanding of statistical concepts and techniques. Eagerness to learn and adapt to new technologies and tools. A passion for data-driven decision-making. Note : We are looking for immediate joiners based in Hyderabad. Please apply only if you are available to join immediate. Show more Show less