About Karomi ManageArtworks (A flagship product brought to you by Karomi, a leading Enterprise SaaS provider) enables 4000 leading Global and Indian brands. We offer everything to get artwork projects going & manage every step of the packaging and artwork process. Companies reach markets faster with our end-end packaging & artwork management system while achieving 100% compliance. Overview We are seeking a highly skilled and experienced Project Manager/Onboarding Manager to lead implementation projects for our ManageArtworks platform, ensuring timely delivery, high-quality results, and stakeholder satisfaction. This role provides the opportunity to manage cross-functional teams and collaborate with international clients in a fast-paced, dynamic Deliverables : Lead end-to-end project planning, execution, and tracking for platform implementations. Oversee project management, resource allocation, and scheduling to ensure timely delivery of high-quality results. Manage project scope, execution, and post-go-live monitoring, ensuring seamless transitions and project documentation. Proactively identify and manage project risks, providing regular updates to key stakeholders. Evaluate and assess project team performance, conduct regular reviews, and ensure alignment with project goals. Review design, development, and unit testing phases to ensure quality deliverables. Assign tasks to team members based on priority, availability, and skillset. Ensure thorough review of releases before UAT (User Acceptance Testing) and production deployment. Handle change requests and oversee project migration activities as required. Plan and execute deployments according to project needs and timelines. Stay up to date with ManageArtworks product suite and platform. Collaborate with the product development team to track and manage the delivery of new product features requested by clients. Key Requirements Bachelor's/Master's degree in Computer Science or a related field. 8-12 years of overall experience in a related technology role with strong people management skills. Minimum of 8 years of relevant experience in platform implementations and project management. PMP certification is a plus. Experience in SAAS Onboarding implementations is a plus. Experience in CPG or Pharma domain will be an added advantage. Previous experience managing projects for the US market or international geographies is highly desirable. Must be willing to handle/take customer calls upto 12 pm Strong focus on quality and customer satisfaction, ensuring stakeholder expectations are met. Proven experience managing a team of 10+ individuals, including goal setting and conducting periodic performance reviews. Demonstrated ability to take ownership of tasks, delegate effectively, and adjust priorities as needed. Excellent written and verbal communication skills, with the ability to clearly articulate project status and challenges. Experience in creating comprehensive solution designs based on client needs and requirements. Strong customer facing skills- Must have played active customer facing roles. (ref:hirist.tech)
About Karomi ManageArtworks (A flagship product brought to you by Karomi, a leading Enterprise SaaS provider) enables 4000 leading Global and Indian brands. We offer everything to get artwork projects going & manage every step of the packaging and artwork process. Companies reach markets faster with our end-end packaging & artwork management system while achieving 100% compliance. Overview We are seeking a highly skilled and experienced Project Manager/Onboarding Manager to lead implementation projects for our ManageArtworks platform, ensuring timely delivery, high-quality results, and stakeholder satisfaction. This role provides the opportunity to manage cross-functional teams and collaborate with international clients in a fast-paced, dynamic Deliverables : Lead end-to-end project planning, execution, and tracking for platform implementations. Oversee project management, resource allocation, and scheduling to ensure timely delivery of high-quality results. Manage project scope, execution, and post-go-live monitoring, ensuring seamless transitions and project documentation. Proactively identify and manage project risks, providing regular updates to key stakeholders. Evaluate and assess project team performance, conduct regular reviews, and ensure alignment with project goals. Review design, development, and unit testing phases to ensure quality deliverables. Assign tasks to team members based on priority, availability, and skillset. Ensure thorough review of releases before UAT (User Acceptance Testing) and production deployment. Handle change requests and oversee project migration activities as required. Plan and execute deployments according to project needs and timelines. Stay up to date with ManageArtworks product suite and platform. Collaborate with the product development team to track and manage the delivery of new product features requested by clients. Key Requirements Bachelor's/Master's degree in Computer Science or a related field. 8-12 years of overall experience in a related technology role with strong people management skills. Minimum of 8 years of relevant experience in platform implementations and project management. PMP certification is a plus. Experience in SAAS Onboarding implementations is a plus. Experience in CPG or Pharma domain will be an added advantage. Previous experience managing projects for the US market or international geographies is highly desirable. Must be willing to handle/take customer calls upto 12 pm Strong focus on quality and customer satisfaction, ensuring stakeholder expectations are met. Proven experience managing a team of 10+ individuals, including goal setting and conducting periodic performance reviews. Demonstrated ability to take ownership of tasks, delegate effectively, and adjust priorities as needed. Excellent written and verbal communication skills, with the ability to clearly articulate project status and challenges. Experience in creating comprehensive solution designs based on client needs and requirements. Strong customer facing skills- Must have played active customer facing roles. (ref:hirist.tech) Show more Show less
You will be responsible for owning the full ML stack that is capable of transforming raw dielines, PDFs, and e-commerce images into a self-learning system that can read, reason about, and design packaging artwork. This includes building data-ingestion & annotation pipelines for SVG/PDF to JSON conversion, designing and modifying model heads using technologies such as LayoutLM-v3, CLIP, GNNs, and diffusion LoRAs, training & fine-tuning on GPUs, as well as shipping inference APIs and evaluation dashboards. Your daily tasks will involve close collaboration with packaging designers and a product manager, establishing you as the technical authority on all aspects of deep learning within this domain. Your key responsibilities will be divided into three main areas: **Area Tasks:** - Data & Pre-processing (40%): Writing robust Python scripts for parsing PDF, AI, SVG files, extracting text, colour separations, images, and panel polygons. Implementing tools like Ghostscript, Tesseract, YOLO, and CLIP pipelines. Automating synthetic-copy generation for ECMA dielines and maintaining vocabulary YAMLs & JSON schemas. - Model R&D (40%): Modifying LayoutLM-v3 heads, building panel-encoder pre-train models, adding Graph-Transformer & CLIP-retrieval heads, and running experiments, hyper-param sweeps, ablations to track KPIs such as IoU, panel-F1, colour recall. - MLOps & Deployment (20%): Packaging training & inference into Docker/SageMaker or GCP Vertex jobs, maintaining CI/CD, experiment tracking, serving REST/GraphQL endpoints, and implementing an active-learning loop for designer corrections. **Must-Have Qualifications:** - 5+ years of Python experience and 3+ years of deep-learning experience with PyTorch, Hugging Face. - Hands-on experience with Transformer-based vision-language models and object-detection pipelines. - Proficiency in working with PDF/SVG tool-chains, designing custom heads/loss functions, and fine-tuning pre-trained models on limited data. - Strong knowledge of Linux, GPU, graph neural networks, and relational transformers. - Proficient in Git, code review discipline, and writing reproducible experiments. **Nice-to-Have:** - Knowledge of colour science, multimodal retrieval, diffusion fine-tuning, or packaging/CPG industry exposure. - Experience with vector search tools, AWS/GCP ML tooling, and front-end technologies like Typescript/React. You will own a tool stack including DL frameworks like PyTorch, Hugging Face Transformers, torch-geometric, parsing/CV tools, OCR/detectors, retrieval tools like CLIP/ImageBind, and MLOps tools such as Docker, GitHub Actions, W&B or MLflow. In the first 6 months, you are expected to deliver a data pipeline for converting ECMA dielines and PDFs, a panel-encoder checkpoint, an MVP copy-placement model, and a REST inference service with a designer preview UI. You will report to the Head of AI or CTO and collaborate with a front-end engineer, a product manager, and two packaging-design SMEs.,
Role Overview: You will be responsible for owning the full ML stack to transform raw dielines, PDFs, and e-commerce images into a self-learning system that can read, reason about, and design packaging artwork. You will work closely with packaging designers and a product manager as the technical authority on deep learning for this domain. Key Responsibilities: - Data & Pre-processing (40%): - Write robust Python scripts for parsing PDF, AI, SVG files and extracting text, color separations, images, and panel polygons. - Implement pipelines using Ghostscript, Tesseract, YOLO, and CLIP. - Automate synthetic-copy generation for ECMA dielines. - Maintain vocabulary YAMLs and JSON schemas. - Model R&D (40%): - Modify LayoutLM-v3 heads for panel identification, bounding box regression, color, and contrastive features. - Build panel-encoder pre-training for mask-panel prediction. - Add Graph-Transformer & CLIP-retrieval heads, with an optional diffusion generator. - Conduct experiments, hyper-parameter sweeps, ablations, and track KPIs such as IoU, panel-F1, and color recall. - MLOps & Deployment (20%): - Package training and inference into Docker/SageMaker or GCP Vertex jobs. - Maintain CI/CD pipelines, experiment tracking using tools like Weights&Biases or MLflow. - Serve REST/GraphQL endpoints for designers and web front-end calls. - Implement an active-learning loop for ingesting designer corrections nightly. Qualification Required: - Must-Have: - 5+ years of experience in Python, with at least 3 years in deep learning using PyTorch and Hugging Face. - Hands-on experience with Transformer-based vision-language models like LayoutLM, Pix2Struct, and object-detection pipelines such as YOLOv5/8 and DETR. - Proficiency in hacking PDF/SVG tool-chains like PyMuPDF, Ghostscript, OpenCV, etc. - Experience in designing custom heads/loss functions and fine-tuning pre-trained models on limited data. - Strong knowledge of Linux and GPU operations, with familiarity in graph neural networks or relational transformers. - Clear understanding of Git and code-review discipline for reproducible experiments. - Nice-to-Have: - Knowledge of color science, print production, multimodal retrieval, diffusion fine-tuning, or packaging/CPG industry exposure. - Experience with FAISS or similar vector search, and AWS/GCP ML tooling. - Familiarity with Typescript/React front-ends for label-preview UIs. Company Additional Details: The company's tool stack includes various primary tools like PyTorch, Hugging Face Transformers, torch-geometric for DL frameworks, PyMuPDF, pdfplumber, OpenCV for parsing/CV, Tesseract, YOLOv8, CLIP/ImageBind + FAISS for OCR/Detectors and retrieval, and Docker, GitHub Actions, W&B or MLflow, AWS SageMaker/GCP Vertex for MLOps. In the first 6 months, you will be expected to deliver a data pipeline v1 converting over 500 ECMA dielines and 200 PDFs into training-ready JSON, a panel-encoder checkpoint with less than 5% masked-panel error, an MVP copy-placement model achieving 85% IoU on validation, and a REST inference service with a designer preview UI for drafting artwork for one SKU. Reporting & Team: You will report to the Head of AI or CTO and collaborate with a front-end engineer, a product manager, and two packaging-design SMEs.,