Model Driven Apps Jobs in Pune

Leader of IT Operations Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize their infrastructure through Infrastructure Monetization. Headquartered in Denver with a global presence across 10+ countries, we focus on delivering measurable sustainability and operational impact. Position Summary Redaptive is seeking an exceptional Leader of IT Operations to join our technology leadership team. This executive role oversees ITSM, agile delivery, and ITIL implementation. The ideal candidate will have deep expertise in multi-national team leadership and the ability to translate strategic direction into operational results. Key Responsibilities IT Operations & ITSM Own all IT operations and service delivery, ensuring stability, security, and alignment with business priorities. Implement comprehensive ITIL practices including change, configuration, release, and incident management. Lead IT delivery teams in Pune using Agile delivery frameworks. Manage the vendor ecosystem, ensuring performance accountability and SLA adherence. Enterprise Systems & Automation Oversee administration of enterprise systems: Salesforce (CRM), NetSuite (ERP), and HubSpot. Drive system adoption through training, playbooks, and enablement programs. Collaborate with business operations to implement automation projects. Cybersecurity & Compliance Implement and monitor cybersecurity controls and incident response protocols. Ensure adherence to regulatory compliance and data protection requirements. Required Skills & Experience 12+ years of progressive IT leadership experience with multi-national teams. Deep expertise in ITIL v4 methodologies and Agile delivery. Strong experience with Salesforce, NetSuite, and HubSpot. Proven ability to translate corporate strategy into operational execution. ITIL Certification (Foundation minimum, Expert/Master preferred). Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Wellbeing: Comprehensive health insurance, wellness apps, and Employee Assistance Program. Flexibility: Hybrid work model, generous PTO, and family-first policies. Growth: Access to continuous learning programs and certifications.

Salesforce Developer Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure with no upfront capital through Infrastructure Monetization. Headquartered in Denver, we operate across 12,000+ sites globally, fostering a culture of sustainability, innovation, and operational excellence. Position Summary Redaptive is seeking an experienced Salesforce Developer to enhance and optimize our Salesforce ecosystem. This role involves building solutions across multiple clouds, integrating external systems, and leveraging AI and automation to drive business growth and operational efficiency. Key Responsibilities Salesforce Development & Configuration Design and maintain customizations using Apex, Lightning Web Components (LWC), and Aura Components. Build declarative solutions using Salesforce Flows, validation rules, and page layouts. Support diverse business processes across Sales, Service, and Experience Clouds. Integration & System Support Integrate Salesforce with external systems via REST/SOAP APIs or middleware. Manage version control and CI/CD activities using tools like Git and Copado. Maintain data quality, migration, and the integrity of the sharing and security model. Business Collaboration & Delivery Gather requirements and deliver solutions in an Agile/Scrum environment using Jira. Conduct code reviews and ensure rigorous unit test coverage and quality assurance. Stay current with emerging Salesforce features, including Einstein AI and advanced automation. Required Skills & Qualifications Experience: 5+ years of Salesforce development (Apex, LWC, SOQL/SOSL, Triggers). Architecture: Deep understanding of Salesforce architecture and governor limits. DevOps: Familiarity with Git, Copado, and sandbox management. Certification: Salesforce Platform Developer I is required. Education: Bachelor s degree in Computer Science, IT, or a related technical field. Preferred Skills Certifications: Platform Developer II and JavaScript Developer I. Cloud Expertise: Experience with CPQ, Data Cloud, or Einstein Analytics. Middleware: Knowledge of MuleSoft or Workato. Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Flexibility: Hybrid work model and generous paid time off. Wellbeing: Comprehensive health insurance and Employee Assistance Program. Redaptive Extras: Creative workspaces and snack-stocked pantries. Qualification : Bachelors degree in Computer Science, IT, or a related technical field

Job Title: Java Architect Integration Engineering Location: Pune Team: Integration Engineering About Anchanto Anchanto is a global SaaS technology company that powers eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team develops scalable, high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems across the globe. We are looking for a seasoned Java Architect to lead the design, development, and delivery of our integration framework, guide engineering best practices, and define the technical vision for integrations that serve businesses worldwide. As a key driver of innovation, you will also champion the adoption of AI tools to enhance productivity, code quality, and development processes. The Role As a Java Architect Integration Engineering, you will: Define integration architecture standards, design patterns, and development best practices to ensure scalable and robust solutions. Lead the end-to-end design and development of integrations with a variety of internal and external systems, utilizing Spring Boot and modern Java frameworks. Collaborate closely with customers to understand their integration requirements, business processes, and objectives. Work with the solution team to document and finalize integration designs, architecture, and data mappings. Champion AI-driven development practices by integrating tools like Cursor AI and other AI-assisted coding solutions into the team s workflow. Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into actionable technical designs. Guide and mentor engineers, fostering a culture of technical excellence, innovation, and AI adoption within the integration team. Play a hands-on role in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries. Collaborate with leadership to define the roadmap for integration products and platform capabilities. Key Responsibilities Architect and oversee the implementation of integration solutions, leveraging Spring Boot, REST APIs, messaging systems, and event-driven architectures. Define and enforce integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability. Lead technical discovery sessions with customers to understand integration requirements and create clear, actionable solution blueprints. Collaborate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business objectives. Introduce and evaluate AI-powered development tools, integrating solutions like Cursor AI, GitHub Copilot, and others into the engineering process to improve efficiency, code quality, and documentation. Promote a culture of AI-first problem solving in architecture design, code reviews, and automation within the team. Establish frameworks and automation to accelerate the onboarding of new integrations. Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance and scalability. Review solution designs and code to ensure adherence to architectural principles and coding standards. Support pre-sales activities with architecture diagrams, integration approaches, and technical feasibility assessments. Lead technical discussions with external partners, vendors, and enterprise customers to ensure alignment on integration strategies and solutions. Required Skills & Experience 15+ years of software development experience, with at least 3+ years as an Architect. Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture. Solid understanding of integration patterns, enterprise architecture, and middleware solutions. Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (e.g., JSON, XML, CSV). Proficiency with AWS cloud services relevant to integration, such as API Gateway, Lambda, SQS/SNS, ECS, RDS, etc. Familiarity with CI/CD pipelines, Git workflows, branching/merging strategies, and code quality tools. Linux proficiency and experience with shell scripting. Experience building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus. Exposure to integration tools such as TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous. Strong problem-solving skills, with the ability to think out-of-the-box and adapt to evolving priorities. Excellent communication and leadership skills, with the ability to influence teams across functions. Bonus / Good to Have Experience in AI-assisted development, especially using tools like Cursor AI, GitHub Copilot, Tabnine, or similar. Familiarity with prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services. Understanding of ML Ops principles and how AI models can be integrated into enterprise applications. A proven track record of evangelizing AI adoption in engineering teams to enhance productivity and foster innovation. Work on global integration projects for a leading SaaS platform serving top-tier retailers, brands, and logistics companies. Lead impactful projects utilizing cutting-edge Java, Spring Boot, AWS, and AI-driven development tools. Collaborate with a globally distributed product and engineering team in an innovation-driven environment. Contribute to the future of Anchanto s integration platform, shaping scalable and robust solutions for enterprises worldwide.

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Job Title: Associate Renewal Sales Representative Location: Pune, Maharashtra, India Travel: Occasional business travel may be required About BMC At BMC, trust is more than a value it s how we do business. We re an award-winning, culturally diverse, and inclusive organization where innovation, community, and balance matter. Our teams celebrate each other s success and support one another every step of the way. We believe that empowered employees deliver empowered results and we never stop evolving. We help our customers become Autonomous Digital Enterprises by freeing up time, space, and resources to focus on what matters most. The Opportunity BMC is looking for a motivated Associate Renewal Sales Representative to join our high-performing Renewals team. In this role, you will play a key part in supporting renewal operations through quote preparation, contract analysis, and collaboration with cross-functional teams. It s a role built for someone with strong analytical and Excel skills who s eager to learn, grow, and eventually move into a full Renewal Sales position. If you're passionate about data, automation, and creating a seamless customer experience this is your launchpad. Key Responsibilities Prepare timely, accurate renewal quotes for customer contracts 90 120 days before expiration. Review contracts to validate pricing, ensure compliance with commercial/legal terms, and identify key renewal insights. Leverage Excel (pivot tables, formulas, Power Query) and data visualization to build dashboards and track trends. Use AI tools and automation platforms to streamline workflows and support SOP development. Collaborate internally on pricing, customer value messaging, and contract positioning strategies. Maintain Salesforce.com (SFDC) records to ensure pipeline accuracy and data hygiene. Conduct revenue analysis to validate billing, revenue recognition, and account alignment. Submit accurate order documentation for processing and invoicing. Build strong relationships with internal teams across Sales, Legal, Finance, Rev Rec, Order Services, and Customer Success. Track and analyze non-renewals, including reasons for churn and recovery opportunities. Contribute to bi-weekly forecast reporting and offer actionable, data-driven recommendations. Develop a solid understanding of BMC s product and service offerings to support renewal conversations. Proactively support strategic account planning by using insights to help drive customer retention. What You Bring 2+ years of experience in Sales, Renewals, Customer Success, or a similar role (preferably in SaaS/software). Advanced skills in Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, formulas, charts, Power Query). Experience in data analytics, trend analysis, and building reports or dashboards. Familiarity with AI tools or automation platforms to improve efficiency. Strong knowledge of contract structures, pricing models, and renewal processes. Experience with Salesforce.com, Zuora, or similar CRM/quote-to-cash systems (a plus). Excellent attention to detail, organization, and multitasking abilities. Effective communication skills, both written and verbal. Ability to work independently and as part of a cross-functional, global team. Willingness to support global time zones (EMEA, APJ, NA) when needed. Growth Path This role offers a clear career path into a Renewal Sales Representative position. High performers will: Take ownership of renewal quotas and customer accounts Lead customer negotiations and value-based conversations Receive mentorship from senior sales leaders Participate in enablement programs focused on strategic selling and commercial acumen A global team of 6,000+ talented professionals A culture that supports individuality, inclusion, and growth Opportunities to work with cutting-edge tools and enterprise customers A strong focus on career development and internal mobility That s okay at BMC, we value curiosity, growth, and diversity. If you re excited about this opportunity, we encourage you to apply. BMC is proud to be an equal opportunity employer.

Lead Salesforce Architect Location: Pune Role Overview: We are seeking a highly experienced and strategic Salesforce Architect to lead the design and delivery of enterprise-level Salesforce solutions. In this role, you will work across multiple Salesforce clouds and integration platforms to architect scalable, secure, and high-performing solutions that align with our business goals. Key Responsibilities: Architect and oversee the implementation of Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Health Cloud. Leverage Salesforce out-of-the-box capabilities to minimize custom development and optimize performance. Lead technical solutioning using Apex, Lightning Web Components (LWC), and declarative tools. Design and manage integrations between Salesforce and external systems using MuleSoft, REST/SOAP APIs, and middleware technologies. Define and implement CI/CD pipelines using tools such as Git, Jenkins, Azure DevOps, Copado, or Gearset. Translate complex business requirements into scalable, maintainable technical solutions. Conduct comprehensive code and architecture reviews to ensure alignment with industry best practices, performance, and security standards. Collaborate with business stakeholders and cross-functional teams to drive platform strategy, roadmap development, and delivery execution. Required Qualifications: 8+ years of hands-on experience with the Salesforce platform, including 3+ years in a Salesforce Architect role. Deep expertise in Sales Cloud, Service Cloud, and Experience Cloud; experience with Health Cloud is preferred. Strong development skills with Apex, Lightning Web Components (LWC), and a deep understanding of the Salesforce metadata model. Comprehensive knowledge of Salesforce configuration, security models, sharing rules, automation tools, and platform limitations. Proven experience with MuleSoft and API-led integration architecture. Solid understanding of DevOps, CI/CD, and sandbox management within Salesforce ecosystems. Ability to lead architectural discussions and translate strategic business objectives into actionable technical designs.

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Senior Analyst-IT & Information Security Administration of One Identity tool and management of integrated Identities and Services. Engineering support of One Identity Manager Environment Management of cloud and on-prem infrastructures hosting IAM. Working knowledge on One identity tools : 1IM Manager / Object Browser / Job Queue / Synchronization editor Understanding of the whole IAM environment, Active Directory Multi forest environment at an enterprise level, Windows OS, IIS, MS SQL server Monitor, Report and Analysis of bugs during and after IAM release versions. Performance management of IAM tools, database and Infrastructure. Administration of Identities and Services integrated with the One IDM tool. Support for Organization integration with the IAM Infra. Collaborate and work with onshore development and project team to provide solutions and assist during Project release, testing and for operational support. Responsible for management of incident, problem and change within the IAM Infrastructure. Responsible for documentation and update of IAM Processes and operating procedures. Work with Software Development tool (e.g., JIRA) and handle various IAM related tasks. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Responsibilities: Administration of One Identity tool and management of integrated Identities and Services. Engineering support of One Identity Manager Environment Management of cloud and on-prem infrastructures hosting IAM. On boarding of Allianz Organizations to IAM Infrastructure. Understanding of the whole IAM environment, Active Directory Multi forest environment at an enterprise level, Windows OS, IIS, MS SQL server Monitor, Report and Analysis of bugs during and after IAM release versions. Performance management of IAM tools, database and Infrastructure. Administration of Identities and Services integrated with the One IDM tool. Support for Organization integration with the IAM Infra. Collaborate and work with onshore development and project team to provide solutions and assist during Project release, testing and for operational support. Responsible for management of incident, problem and change within the IAM Infrastructure. Responsible for documentation and update of IAM Processes and operating procedures. Work with Software Development tool (e.g., JIRA) and handle various IAM related tasks. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Qualifications: 7+ years of experience working in the AI & Automation field Proven experience in designing and implementing AIOps solutions in large-scale environments; strong expertise as an Automation Engineer with a focus on AIOps, Generative AI, and Conversational AI. Hands-on experience withAmeliaAIOps software and integrations is a must Strong knowledge of AI/ML techniques applied to IT operations. Proficiency with automation tools (e.g., Ansible, Puppet, Terraform, Chef etc). Expertise in cloud platforms (AWS, Azure, GCP), with hands-on experience in automation and orchestration. Solid understanding of APIs, web services, and integration technologies (e.g., REST, GraphQL, Kafka). Proficiency in scripting/programming languages (Python, Java,Bash, etc). Familiarity with observability tools (e.g., Splunk, Dynatrace, New Relic) and ITSM tools (e.g., ServiceNow) Strong background in machine learning and deep learning algorithms. - Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models. Generative AI frameworks Langchain, LlamaIndex, Agentic Frameworks - AutoGen, Semantic kernel, crewAI, promptflow,Langflow, Langraph Deep understanding of transformer architectures and diffusion models Experience in generative AI techniques such as GANs and VAEs. - Ability to design and implement scalable and efficient AI systems. Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy Strong communication, problem solving and leadership skills, with the ability to work collaboratively with diverse teams. Certifications in AWS, Azure, Generative AI or relevant AI technologies are a plus. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Job Description: Senior Analyst - IT & Information Security We are looking for a Senior Analyst - IT & Information Security to join our team in Pune. The successful candidate will be responsible for the administration of One Identity tool and the management of integrated identities and services within the IAM (Identity Access Management) environment. You will provide engineering support for the One Identity Manager environment and ensure the smooth functioning of cloud and on-prem infrastructures hosting IAM. Key Responsibilities: Administration of One Identity Tool: Manage and maintain the One Identity Manager (1IM) environment, including Object Browser, Job Queue, and Synchronization Editor. Identity & Service Management: Administer integrated identities and services with the One Identity tool, ensuring smooth integration with organizational systems. IAM Environment Management: Oversee and support the IAM environment at an enterprise level, specifically in a multi-forest Active Directory setup. Manage IAM tools, including performance management of databases and infrastructures. Monitoring & Troubleshooting: Monitor the performance of IAM tools and report on and analyze any bugs during and after IAM release versions. Ensure the smooth functioning of the IAM infrastructure, performing necessary diagnostics and maintenance. Incident, Problem & Change Management: Manage incidents, problems, and changes within the IAM infrastructure, ensuring proper documentation and tracking. Collaboration & Support: Work closely with onshore development and project teams, assisting during project releases, testing, and providing operational support. Process & Documentation Management: Develop and maintain IAM processes and operating procedures documentation. Tool Utilization: Use software development tools such as JIRA for managing IAM-related tasks and issues. Qualifications & Skills: Experience: Proven experience in managing One Identity Manager (1IM) or similar IAM tools. Strong understanding of IAM infrastructure and its integration with organizational systems. Technical Skills: Solid knowledge of Active Directory multi-forest environments and integration with IAM tools. Familiarity with Windows OS, IIS, and MS SQL server. Performance Management: Experience in monitoring, reporting, and analyzing IAM tool performance. Collaboration Skills: Ability to work collaboratively with onshore teams and provide expert support for project releases and operational needs. Incident and Change Management: Demonstrated experience in incident, problem, and change management within IAM systems. Tool Knowledge: Familiarity with using JIRA or other software development tools for task and issue management. What We Offer: Hybrid Work Model: Flexible working options, including up to 25 days per year working from abroad. Compensation & Benefits: Competitive compensation package, including a company bonus scheme, pension, employee shares program, and multiple employee discounts (varies by location). Career Development: Access to career development and digital learning programs, with opportunities for international mobility and lifelong learning. Work-Life Balance: Flexible working and health and wellbeing support, including healthcare and parental leave benefits. Support for career breaks and assistance with returning to work. About Allianz Technology: Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With over 13,000 employees in 22 countries globally, Allianz Technology is a key partner in pioneering the digital transformation of the financial services industry. We oversee a full spectrum of digital services, including IT infrastructure, networking, security, and application platforms. We are at the forefront of digitalization in the financial services sector, offering end-to-end IT solutions for Allianz. Diversity & Inclusion Statement: At Allianz Technology, we are proud to be an equal opportunity employer. We believe in fostering a diverse and inclusive work environment. We welcome applications from individuals of all backgrounds and identities, regardless of gender, ethnicity, age, nationality, religion, disability, or sexual orientation. Join us and help shape the future of technology! Let s care for tomorrow.

Job Title: Senior Director of Sales (Western Region) Location: Pune, India Overview: Join us at Addverb and take the lead in transforming the future of warehouse automation. As a Senior Director of Sales, you will oversee sales and business development activities for the Western Region, driving growth in our material handling systems. Become a part of India's largest robotics company and collaborate with intellectual minds in a dynamic, multidisciplinary culture. Addverb offers you a flexible work environment that values freedom with responsibility, international exposure, and boundless opportunities for growth and learning. Role Overview: Based in Pune, the Senior Director of Sales will spearhead all sales and business development initiatives for the Western Region. You will be responsible for researching market opportunities, developing strategies, generating leads, and executing sales plans. Your leadership will guide the Sales Team, ensuring the identification and successful implementation of new business opportunities and sales models to expand the business. Key Responsibilities: Lead Business Development in Western India: Build and manage a strong sales pipeline, targeting new and existing opportunities within the region. Team Leadership: Oversee and guide the regional sales team to drive performance and meet key targets. Achieve Sales Targets: Take responsibility for meeting the annual sales goals for both the Western Region and across India. Strategy Development: Develop and implement sales strategies to foster growth and expand the company s market presence in the region. Customer Negotiations & Techno-Commercial Proposals: Engage in customer negotiations, and prepare and present techno-commercial offers that align with client needs. Collaboration with Solution Teams: Work closely with the Solution Team to generate inquiries, address customer requirements, and provide tailored solutions. Training and Team Development: Lead initiatives for training and developing the sales team to enhance skills and performance. Key Skills, Qualifications, and Experience: Education: Minimum qualification of a B.Tech degree, along with a Business Management degree. Experience: 15-20 years of experience, ideally in material handling, warehouse robotics, or related industries. Sales Leadership: Proven track record in sales management and business development, with experience in leading and motivating teams. CRM Experience: Strong understanding of CRM processes and how to leverage them for business growth. Industry Knowledge: Experience or knowledge of relevant technologies in robotics or warehouse automation is highly advantageous. Innovative Environment: Be at the forefront of revolutionizing warehouse operations through cutting-edge automation solutions. Collaborative Culture: Work alongside passionate and skilled professionals in a multidisciplinary, inclusive work environment. Global Exposure: Gain international experience and exposure to a broad market. Growth Opportunities: Thrive in a culture that values personal and professional development, offering endless opportunities to grow and learn. If you re an accomplished sales leader with a passion for robotics and warehouse automation, we invite you to apply and take the next step in your career with Addverb. Qualification : Minimum Qualification of B . Tech and Business Management Degree

Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities. Job Responsibilities The delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats. Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy. Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team. Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy. Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes. Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable. Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions. Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements. Supports client strategy to ensure business and compliance needs are met. Coordinate and manage subordinates, facilitate interdepartmental communication, and allocate tasks and resources as needed. Guide and advise the modeling and capabilities team as a Subject Matter Expertise on various technologies, solutions, and capabilities to help set up industry-leading practice. Education BE/B.Tech Work Experience 7-12 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred. Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based and other systems dynamics-based techniques. Manage & develop patient/epidemiology-based forecasting models for pharma clients. Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies. EPI based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience. Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast. Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc). Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed Qualification : BE/B.Tech

Position Summary We are seeking a seasoned thought leader to lead our Decision Science and Commercial Analytics team. This role will be responsible for developing commercial forecasts for pipelines and launching products, as well as completing opportunity assessments for lifecycle management. You will leverage deep therapeutic area expertise, analytical instincts, strategic thinking, and project management skills to communicate the value assessment of new assets while identifying risks and opportunities. Job Responsibilities Client & Stakeholder Management: Manage client and onshore stakeholder relationships to ensure successful business delivery, aligning with business needs. Collaboration with Project Managers: Work closely with project managers to define the algorithm, break down the problem into actionable steps, and execute the analysis. Project Scoping & Solution Design: Lead project scoping, solution design, and execution, ensuring effective communication of analysis in client-ready formats. Demand Forecasting: Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support brand strategy. Forecast Assumptions: Prepare robust forecast assumptions by leveraging expertise and analogs from the Forecasting team and insights from the Insights and Analytics team. Forecast Accuracy: Establish objectives to ensure objectivity in brand and therapeutic area forecasts, focusing on forecast accuracy. Brand Volume Forecasting: Develop both short-term and long-term brand volume forecasts to support strategic and operational planning processes. Launch Support & Post-Launch Tracking: Support launch preparations and guide teams in setting up post-launch performance tracking. Create and monitor short-term revenue forecasts, adjust when necessary, and compare against actuals. Data-Driven Decision-Making: Deliver consistent analytics that drive informed decision-making. Define and develop models to answer critical business and operational questions. Education Bachelor's Degree (BE/B.Tech) Master of Business Administration (MBA) Work Experience 15+ years of experience working with Life Sciences companies in pharmaceutical forecasting and data analytics. Experience supporting both pipeline and marketed products is preferred; Specialty or Rare Disease experience is a plus. Expertise in various modeling techniques such as statistical modeling, patient-flow models, simulations, agent-based modeling, and systems dynamics. Proven experience in patient/epidemiology-based forecasting models for pharmaceutical clients. Strong project management skills, with the ability to lead the enablement of global life sciences companies in forecasting and analytics functions through innovative solutions. Extensive experience in EPI-based forecasting for inline, pipeline, and BD&L products/brands. Expertise with pharmaceutical datasets (e.g., IQVIA, Evaluate, IPD, Kantar, DRG, Rx, APLD, etc.). Experience working across multiple markets globally with a deep understanding of disease and therapy areas and their application to forecasting. Technical Competencies Life Sciences Knowledge Project Management Pharmaceutical Forecasting Expertise Attention to P&L Impact Business Development Capability Building & Thought Leadership Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership & Accountability Cultural Fit Talent Management Additional Information: This position requires a dynamic individual with a deep understanding of pharmaceutical forecasting, analytics, and project management. You will play a key role in supporting product and brand strategies with insightful, data-driven forecasting models and contribute to the growth and success of global life sciences clients. Qualification : Bachelor's Degree (BE/B.Tech)