This is a full-time, on-site role for an Assistant Manager, Compliance, based in Pune. We are seeking a dynamic and detail-oriented professional to join our team. The ideal candidate will bring proven experience in corporate governance within listed entities, a strong grasp of regulatory frameworks, and the ability to support strategic initiatives across domestic and international operations. Key Responsibilities •Ensure compliance with Companies Act, SEBI regulations, and listing obligations •Manage board meetings, AGMs, and committee proceedings with precision and discretion •Draft and maintain statutory records, resolutions, and regulatory filings •Liaise with stock exchanges, regulators, and stakeholders on governance matters •Support execution of executive agreements and strategic partnerships •Advise leadership on corporate structuring, risk mitigation, and governance best practices •Collaborate with legal, finance, and strategy teams on cross-functional initiatives •Uphold Monarch’s reputation for integrity, transparency, and excellence Required Profile · Qualified Company Secretary (CS) – ICSI certified with minimum 2–3 years of post-qualification experience in a listed company •Strong understanding of SEBI LODR, Companies Act, investor relations, exchange filings, and corporate governance norms •Excellent drafting, communication, and stakeholder management skills •Strategic mindset with ability to navigate complex regulatory landscapes •Willingness to be based out of Pune •Exposure to infrastructure, public sector, or international business environments is a plus Please write to srini@monarchpune.in with “Assistant Manager, Compliance” in the subject line.

You will work as part of a cross-functional team of GIS engineers, data scientists, and remote sensing specialists to design and deploy AI-driven solutions for real-world environmental and infrastructure challenges. Your work will focus on applying cutting-edge machine learning and computer vision techniques to geospatial and remote sensing data. Key responsibilities include designing and training deep learning models for object detection, image segmentation, and classification using satellite and drone imagery. You will develop point cloud AI workflows for tasks such as tree segmentation, canopy height estimation, and 3D modeling. The role also involves experimenting with Generative AI (GenAI) approaches to enhance spatial analysis, automate data augmentation, and improve model robustness. You will be responsible for building scalable data pipelines for processing multi-temporal imagery and managing large-scale datasets efficiently. Collaboration with geospatial developers will be essential for integrating AI models into web-based GIS platforms and ensuring seamless deployment. Additionally, you will have the opportunity to publish internal research, contribute to open-source projects, and participate in building next-generation geospatial AI tools. Required Skills & Experience The ideal candidate will have 3–4 years of hands-on experience in machine learning, deep learning, or computer vision, with a focus on geospatial or remote sensing applications. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is essential. A strong understanding of image processing, remote sensing, and geospatial data formats will be expected. Experience with GDAL, Rasterio, OpenCV, or PDAL is preferred, along with the ability to convert research concepts into production-grade AI solutions. The candidate should demonstrate a passion for open-source technologies and an enthusiasm for developing practical, real-world AI applications in geospatial domains. Bonus Skills (Highly Desirable) Hands-on experience with Sentinel, Planet, or UAV imagery processing, and familiarity with transformer-based models such as Segment Anything, Vision Transformers (ViT), or CLIP, will be a strong advantage. Candidates with exposure to MLOps, Docker, or model deployment pipelines will be preferred. Additional value will be placed on contributions to research papers, hackathons, or open datasets, reflecting innovation and a forward-thinking approach to applied AI.

Develop and maintain web and mobile applications using React, Next.js, and React Native Collaborate with designers, backend developers, and GIS experts to deliver high-quality products Optimize applications for maximum performance and scalability Ensure smooth user experiences across platforms 📍 Job Type: In-office position (full-time)

The role involves designing, developing, and maintaining high-performance backend systems using Python frameworks such as FastAPI, Flask, or Django. The candidate will be responsible for building and optimizing RESTful and GraphQL APIs to serve both internal and external clients efficiently. A strong emphasis will be placed on designing efficient database schemas and writing optimized queries for handling large datasets. Close collaboration with frontend and DevOps teams will be essential to ensure the development of scalable, cloud-deployed applications. The candidate will also contribute to designing and implementing data ingestion and processing pipelines, ensuring performance, maintainability, and reliability throughout. Writing clean, reusable, and testable code aligned with industry best practices and coding standards will be a key expectation. In addition, the candidate will deploy and monitor applications using Docker, CI/CD pipelines, and cloud environments such as AWS, GCP, or Azure. They will participate in system architecture discussions, focus on performance tuning, scalability planning, and maintain detailed API documentation. Ensuring backend systems adhere to security, stability, and reliability standards will be a core responsibility. Required Skills & Experience The ideal candidate will bring 3–4 years of professional experience as a Python Backend Developer with hands-on expertise in FastAPI, Flask, or Django REST Framework. A solid understanding of REST API design principles, microservices architecture, and authentication mechanisms such as JWT and OAuth2 is essential. Proficiency in PostgreSQL or similar relational databases, along with strong SQL skills, is required. Candidates should have practical experience with Docker, Git, and cloud-based environments, paired with a sound understanding of scalable system design and backend performance optimization. Familiarity with testing frameworks like Pytest or Unittest, and experience in continuous integration and deployment practices, will be highly valued. Bonus Skills (Highly Desirable) Applicants with experience in geospatial technologies will have a distinct advantage. This includes familiarity with PostGIS, GeoServer, pg_tileserv, and handling geospatial data formats such as GeoJSON, GeoTIFF, and Shapefile. Knowledge of GIS libraries such as GDAL, GeoPandas, Rasterio, or Fiona, and understanding of OGC standards (WMS, WFS, WMTS, WCS) will be considered a significant plus. Additional experience with large spatial datasets, geospatial API design, or working on ETL pipelines, data streaming, or spatial analytics frameworks like Dask or Spark will further strengthen the candidate’s profile.

The role involves developing and maintaining modern, responsive, and user-friendly web applications using React.js, Next.js, and TailwindCSS. The candidate will collaborate closely with backend and GIS teams to seamlessly integrate APIs and spatial data services such as WMS, WFS, REST, and GraphQL. A major focus will be on implementing interactive mapping and data visualization components using open-source geospatial libraries, ensuring high-quality visual and functional performance. The developer will be responsible for optimizing the performance of applications handling large datasets, ensuring smooth client-side interaction and rendering. They will translate UI/UX designs and wireframes into high-quality, reusable, and maintainable front-end code, while managing application state efficiently using Redux, Zustand, or the Context API. Maintaining cross-browser compatibility, accessibility, and mobile responsiveness will be an integral part of the development process. Additionally, the candidate will participate in code reviews, maintain proper project documentation, and adhere to version control best practices. Collaboration with the design team will also be key to bringing creative and visually engaging geospatial interfaces to life that enhance the user experience. Required Skills & Experience The ideal candidate will have 3–4 years of experience as a Frontend Developer or React Engineer with strong proficiency in React.js, Next.js, and modern JavaScript (ES6+). A solid understanding of HTML5, CSS3, and component-driven architecture is essential, along with hands-on experience in TailwindCSS, TypeScript, and responsive UI development. The developer should also be familiar with REST APIs, GraphQL, and efficient data-fetching patterns such as SWR or React Query. An understanding of performance optimization, lazy loading, and code splitting techniques is important to ensure scalability and speed. Proficiency in Git and experience working in collaborative, agile environments will also be expected. Bonus Skills (Highly Desirable) Additional advantage will be given to candidates with experience in open-source geospatial libraries such as OpenLayers, Leaflet, MapLibre, Deck.gl, or CesiumJS, and a working knowledge of geospatial data formats like GeoJSON, TopoJSON, or vector tiles. Familiarity with map styling, spatial interactivity, and layer control in web mapping applications will be a strong plus. Experience integrating charts and analytics dashboards using tools like Recharts, D3.js, or ECharts is desirable. A good grasp of Next.js API routes, server-side rendering (SSR), or static site generation (SSG), along with exposure to CI/CD pipelines, Docker, or cloud deployment workflows, will further strengthen the candidate’s profile.

The role involves providing strong technical leadership and architectural direction by defining and maintaining the overall technical architecture, coding standards, and best practices. The individual will guide technology choices across open-source GIS tools such as PostGIS, GeoServer, OpenLayers, Leaflet, and Cesium, as well as ESRI technologies including ArcGIS Server, ArcGIS Online, and ArcGIS Enterprise. Ensuring scalability, security, and performance in all solution designs is essential, along with staying updated on emerging trends in AI/ML for geospatial applications, big data, and cloud-native environments. In project and delivery management, the candidate will own end-to-end project delivery while ensuring quality and adherence to timelines. They will translate client requirements into actionable technical roadmaps, work closely with project managers and sales teams to define scope, set realistic timelines, allocate resources, and manage risks or dependencies. Regular progress tracking and proactive client and stakeholder communication will be integral to this role. As a team leader and mentor, the person will lead, coach, and inspire a team of developers, fostering continuous learning and innovation. Responsibilities include conducting code reviews, enforcing best practices, promoting knowledge sharing, and supporting team members in overcoming technical challenges. Building a culture of accountability, collaboration, and ownership within the team will be a key focus. The role also includes client and stakeholder engagement, acting as a trusted technical advisor to help clients understand solution possibilities and technical strategies. The candidate will support pre-sales activities such as proposal preparation, effort estimation, and technical presentations, representing the organization in client meetings, workshops, and demonstrations. Building long-term client relationships through trust, transparency, and delivery excellence is critical. In addition, the candidate will contribute to innovation and R&D by driving research initiatives and proof-of-concepts (POCs) involving both open-source and proprietary GIS tools. They will evaluate interoperability between open-source platforms and the ESRI stack to offer clients flexibility and explore new opportunities for product or IP development within GIS and related domains. Required Skills & Qualifications The candidate should possess strong technical expertise in Python and JavaScript/TypeScript (React, Node.js), with hands-on experience in PostGIS, GeoServer, MapServer, QGIS, OpenLayers, Leaflet, Cesium, and Turf.js. A solid understanding of the ESRI ecosystem—including ArcGIS Server, ArcGIS Enterprise, and ArcGIS Online—is essential, along with familiarity with cloud platforms (AWS, Azure, or GCP), Docker/Kubernetes, and CI/CD pipelines. In terms of project and people management, the candidate must demonstrate proven ability to lead teams of 5–15 developers, backed by experience in Agile or Scrum methodologies. Strong skills in project planning, effort estimation, and risk management are vital, as is the ability to balance technical execution with effective stakeholder communication. Lastly, soft skills play a significant role in this position. The candidate must have excellent written and verbal communication abilities, strong interpersonal and collaboration skills, and a structured, analytical approach to problem-solving.

Develop and manage all marketing collaterals presentations, brochures, press releases, photos, and downloadable assets ensuring brand consistency and visual impact. Oversee social media channels and media relations to amplify our messaging, engage target audiences, and enhance corporate visibility.