We are seeking detail-oriented and creatively driven banner designers to support the creation and adaptation of digital assets for a major global automotive client. The work will primarily take place within a creative automation platform (e.g. Cape), focusing on both static and animated banners at scale. Prior experience with Cape is not required - training will be provided - but the role demands a strong foundation in layout, consistency, and adaptation across markets. Key responsibilities Create and adapt banners using a creative automation platform based on pre-defined templates Produce high-quality static and animated assets in line with brand and campaign guidelines Apply localised content (e.g. translations, imagery) to generate market-specific versions Collaborate with layout leads and asset managers to ensure timely delivery and file compliance Adhere to naming conventions, metadata tagging, and visual QA standards. Contribute to quality checks and continuous improvement within the design workflow Skills & requirements 2 - 4 years of experience in digital or graphic design (agency or in-house) Strong proficiency in Adobe Creative Suite, especially Photoshop and Illustrator Understanding of digital display formats and visual adaptation principles Ability to work within structured design systems and follow brand rules Experience with localisation and high-volume asset creation is preferred Quick learner, comfortable adopting new tools and platforms Clear communication and collaboration skills Nice to have Exposure to tools like Cape, Google Web Designer, Bannerflow, or Celtra Experience with Adobe After Effects (for simple motion support) Familiarity with DAM systems and digital production workflows Awareness of brand governance and accessibility best practices Working knowledge of Figma for design handoffs or layout references

Preferred Qualifications: Technical / Professional Skills Should have knowledge of workflow Tools like Jira or Workfront. (Workfront would be an added advantage) Ability to individually solve technical problems using troubleshooting steps and identify practical actions. People Management Skills Good Communication Skills with the ability to work and connect with Stakeholders Good Understanding of the requirement of the stakeholder and providing resolutions Willing to understand new process, Plan the setup and bring in automation using the tool Others Should have excellent communication skills. Ability to work under pressure. Strong analytical capabilities, ability to interpret requirements, and provides business recommendations to mitigate business and operational risks.

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

Job Description & Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams. Qualification, Skills & Experience Good hands-on experience in Advanced Python Programming Experiences in scalable Microservice Architecture and Development Good understanding of API Development, Messaging Queues and Asynchronous Task Management Basic DevOp skills and working with Docker Experience with LangChain, LangGraph, AutoGen or CrewAI are a big plus Ability to co-work in a small team with different locations Ability to learn and understand a new Python framework

We are looking for a skilled and detail-oriented Senior Banner Designer to support the production and localisation of digital banners for a globally renowned automotive brand. This is a hybrid role combining strong visual design sensibilities with technical fluency across creative automation platforms. The ideal candidate will not only deliver high-quality visual outputs but also serve as a design SME-guiding junior team members, validating template functionality, and ensuring quality across asset versions. A strong understanding of how creative decisions translate to HTML/CSS/JS outputs is expected, along with the ability to identify gaps in banner templates and support optimisation. Key responsibilities Create and adapt static and animated banners using creative automation tools or platforms (e.g. Cape, Google Web Designer, etc.) Apply localisation content to generate multi-market campaign variants Ensure all assets adhere to brand, format, and accessibility guidelines Review template integrity and provide suggestions for design improvements or technical refinement Understand how visual designs translate into code; support front-end handoffs and troubleshoot display issues if needed Establish or refine QA parameters to check visual accuracy, responsiveness, and platform readiness Mentor junior designers, supporting onboarding and workflow alignment Collaborate with layout, QA, and project teams to ensure seamless end-to-end production Skills & requirements 4-6 years of experience in digital or UI design, with direct banner production experience Hands-on experience in at least one automation platform (e.g. Cape, Google Web Designer, Bannerflow, or Celtra) Strong working knowledge of Adobe Creative Suite, especially Photoshop and Illustrator Good understanding of HTML5/CSS fundamentals and how creative elements behave within code-driven environments Comfortable assessing visual-to-code consistency and identifying issues with responsiveness, animation behaviour, or rendering Experience working with structured workflows, localisation, and asset versioning Excellent attention to detail and commitment to delivering pixel-perfect outputs Collaborative, communicative, and able to work across multiple functions Nice to have Familiarity with Figma for layout reference or handoff Working knowledge of Adobe After Effects for motion support Exposure to DAM systems, metadata tagging, and structured content workflows Understanding of accessibility standards, responsive design, and cross-market creative adaptation.

We are seeking a proactive and detail-oriented Digital Asset Manager to oversee the organization and coordination of digital assets for a high-volume, multi-market automotive campaign. This role is ideal for individuals with strong project management skills and the ability to adapt quickly to new tools and workflows. While prior experience with digital asset management platforms like Cape is advantageous, it is not mandatory. The position offers an opportunity to evolve into a leadership role, encompassing responsibilities such as asset governance, quality assurance, and cross-functional coordination with stakeholders, including teams in Germany. Key responsibilities This role requires strong project management skills, which may be applied across a range of areas including-but not limited to-the following: Asset organization: Ensure assets are properly tagged and stored for easy retrieval and compliance Maintain a structured taxonomy and metadata schema for organizing digital assets Workflow coordination: Collaborate with creative teams to streamline asset creation and approval processes Coordinate with layout experts and other stakeholders to ensure timely delivery of assets Quality assurance: Develop and implement QA checklists to maintain asset quality and consistency Conduct regular audits of assets to ensure they meet brand and technical standards Governance and compliance: Establish and enforce guidelines for asset usage and distribution Ensure compliance with licensing agreements and usage rights Stakeholder communication: Serve as the primary point of contact between the creative team and external stakeholders Facilitate regular updates and feedback sessions with teams in Germany and other locations Skills & requirements 3 - 5 years of experience in project management, digital asset management, or related fields Strong organizational skills and attention to detail Excellent communication and interpersonal abilities Ability to adapt quickly to new tools and technologies Familiarity with digital asset management systems is a plus, but not mandatory Proficiency in Microsoft Office Suite and project management tools Nice to have Experience with creative automation platforms like Cape Understanding of metadata standards and taxonomy development Background in quality assurance or compliance roles Exposure to international stakeholder management.

About the Role We're seeking a skilled Python QA Analyst to join our team focused on AI and agentic systems. In this role, you'll ensure the quality and reliability of our AI products while occasionally supporting agentic development during periods of lower QA workload. Key Responsibilities Design, implement and maintain comprehensive test suites for AI and agentic systems Create automated testing frameworks using Python to validate AI model outputs and behaviors Develop test cases that cover edge scenarios and potential failure modes in AI systems Perform thorough regression testing on new releases and feature updates Validate that AI systems meet functional requirements and performance benchmarks Document bugs with clear reproduction steps and expected behaviors Collaborate with AI engineers to understand model architectures and potential weak points Support the development team in troubleshooting and resolving identified issues Assist with agentic development projects during periods of lower QA workload Requirements Experience in software QA, with a focus on Python Strong Python programming skills and experience with testing frameworks (pytest, unittest) Understanding of AI concepts, machine learning workflows, and LLM evaluation techniques Experience testing complex systems with multiple integrations Familiarity with CI/CD pipelines and test automation Knowledge of version control systems (Git) Experience with bug tracking and project management tools Nice to Have Experience with AI-specific testing methodologies and evaluation metrics Understanding of LLM evaluation techniques (including hallucination detection, bias testing) Background in agentic system development or testing Experience with containerization (Docker) and orchestration tools Knowledge of API testing (Postman, requests) Familiarity with prompt engineering and prompt testing methodologies What You'll Do Develop comprehensive test plans for new AI features and systems Build and maintain automated test suites that validate model outputs against expected benchmarks Create specialized tests for agentic behaviors and decision-making processes Collaborate with cross-functional teams to define quality standards and acceptance criteria Participate in code reviews from a quality assurance perspective Contribute to agentic development projects when QA workload allows Help establish testing best practices for AI and agentic systems This position offers the opportunity to work at the cutting edge of AI quality assurance while developing skills in agentic system development. Join us in building reliable, high-quality AI products that our customers can trust.