Job Title - Graphic Designer Experience: Minimum 2 years Location: Nagpur, Maharashtra Type: Full-time | On-site Position Overview Got a creative and artistic mindJoin us and make an impact! Our marketing team is looking for a Graphic Designer who can bring fresh ideas and create stunning designs for our brand. The ideal candidate is a creative professional eager to showcase their storytelling abilities and exceptional visual design skills. At Konverge AI, innovation meets impact as we build cutting-edge AI solutions for global enterprises. Key Responsibilities Create innovative graphic designs for print and digital marketing materials aligned with our brand guidelines. Develop and design corporate brochures, presentations, marketing collateral, and digital assets. Design graphics for our website, social media platforms, and online marketing campaigns. Collaborate with marketing, sales, and practice teams to develop creative and corporate assets. Collaborate with vendors for design to drive marketing initiatives. Maintain and evolve the companys visual brand identity. Who Are We Looking For 2-3 years of professional graphic design experience. Bachelor s / Master s degree in graphic arts, design or related field. Creative design skills and understanding of design principles, typography, and color theory. Excellent visual communication and storytelling skills. Advanced proficiency in design tools: o Adobe Creative Suite (Illustrator, Photoshop, InDesign). o Microsoft Office Suite (especially PowerPoint and Word Doc). o Knowledge of any other Software like After Effects, Premier Pro, XD, Figma, etc. would be a great add-on. Soft skills: Stakeholder management; communication skills; and ability to work independently and within a team environment. Bonus points if you have: o Worked in an IT tech or B2B company. o Video editing skills and experience. o Experience in UI/UX. What We Offer A playground of creativity working in marketing. A chance to work in a dynamic and fast-growing AI company. Flexible work environment and professional growth opportunities. Unique perks and benefits which we will be glad to discuss in person.

Demonstrates strong skills and growing expertise in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. Understands and translates data-related client requirements into actionable tasks for the team, with an ability to handle moderately complex problems and solutions. Contributes to the development of data solutions within their projects, with a focus on applying their area of specialization. Provides guidance and support to junior team members on data science methodologies, tools, and algorithms within their area of expertise. Assists in the resolution of data science-related issues within their project, escalating to higher levels when necessary. Participates in the review process and helps ensure adherence to performance parameters for data science tasks, with a focus on data quality and model performance. Assists in balancing the data science workload within the team, considering the skills and capacities of team members. Actively participates in learning initiatives for upskilling and cross-skilling in data science, and shares knowledge with the team. Contributes ideas and insights towards the development of new data science solution offerings. Encourages junior team members to build technical skills and innovate within the realm of data science. Begins to build relationships with clients and stakeholders, with a focus on understanding their data-related needs and delivering value. Starts to develop a foundational understanding of related areas such as data engineering, MLOps, product engineering, or cloud services. Stays up to date with industry trends in data science to ensure personal growth and the competitive advantage of the team and organization.

Responsibilities: Demonstrates good skills and is developing specialization in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. Translates data-related client requirements into actionable tasks and can handle moderately complex data-related problems and solutions. Actively contributes to the development and implementation of data solutions within their projects, focusing on their area of specialization. Is proficient in writing clean, efficient code and developing APIs. Comfortable with consuming 3rd party or internal APIs and implementing business logic as middleware. Has knowledge of databases, both SQL and NoSQL, and can effectively work with them for data extraction, transformation, and loading. Assists in the resolution of data science-related issues within their project, escalating to higher levels when necessary. Participates in the review process and helps ensure adherence to performance parameters for data science tasks, with a focus on data quality and model performance. Actively participates in learning initiatives for upskilling and cross-skilling in data science, and shares knowledge with the team. Contributes ideas and insights towards the development of new data science solution offerings.6Private and Confidential Encourages junior team members to build technical skills and innovate within the realm of data science. Begins to build relationships with clients and stakeholders, focusing on understanding their data-related needs and delivering value. Keeps up to date with industry trends in data science to ensure personal growth and the competitive advantage of the team and organization

Responsibilities: Marketing Strategy Execution Executing integrated marketing campaigns, Account-Based Marketing (ABM), lead generation programs, digital and video campaigns for business growth. Planning and executing outreach campaigns, crafting tailored messaging for different segments and personas. Improving brand visibility through strategic awards and recognition, targeted publications, and a planned digital strategy. Thought Leadership Creating marketing content around AI/ML, LLM, Data Engineering etc. and working with the design and website team to publish assets. Analyzing AI/ML research publications and the latest industry happenings and creating digestible marketing insights, whitepapers, and blogs. Digital Marketing Preparing social media plans and support content creation for various platforms. Planning and executing video campaigns like podcasts for engaging industry experts. Driving online traffic and engagement through digital campaigns, SEO, and social media marketing. Executing campaigns to improve digital distribution of thought leadership content for improving inbound leads. Sales Enablement Pre-sales Working with sales, delivery, practices and alliance partners to create targeted sales enablement materials. Working on pre-sales presentations for client or prospect meetings and proposal responses as per need. Who Are We Looking For 3 to 5 years of experience in B2B marketing, preferably working in an IT or an AI company. Master s degree in marketing is preferred. Understanding of the fundamental concepts of AI, Agentic AI, LLM, Data Analytics, and Prompt Engineering. Experience working on full-funnel campaigns including digital, social media, ABM execution, sales enablement, and lead generation strategies. Experience working with teams to craft compelling messages that captivate audiences and offer them compelling solutions. Proficiency and understanding of managing the corporate website, marketing communications, marketing stack, CRM systems, and analytics to measure performance. Excellent communication, project management, and stakeholder engagement skills. Bonus points if you have: o Experience in managing global IT events and client roadshows. o Hands-on experience with marketing and marketing automation tools. o Exposure to SEO, community engagement and influencer marketing. What We Offer: A playground of creativity working in marketing A chance to work in a dynamic and fast-growing AI company Flexible work environment and professional growth opportunities Unique perks and benefits which we will be glad to discuss in person

Abilty to design and architect frontend systems Knowledge of advanced charting and reporting libraries Ability to optimize application performance and scalability Ability to implement caching and prefetching strategies Ability to implement lazy loading techniques Knowledge of error handling, monitoring, and logging systems Ability to ensure security measures are implemented and enforced Ability to collaborate with backend developers and UX/UI designers Ability to manage and prioritize tasks for the frontend team Ability to make technical decisions for the frontend stack Familiarity with cloud platforms (eg, AWS, Azure, Google Cloud) and ability to leverage cloud services for application development and deployment Ability to design and develop scalable and robust backend systems using Nodejs and other relevant technologies such as RabbitMQ or Redis Proficiency in advanced JavaScript features such as generators, iterators, and proxies Familiarity with API design patterns and best practices including such as GraphQL Ability to implement and manage server-side caching using technologies such as Redis Familiarity with security concepts such as encryption, SSL, and CSRF protection Ability to write reusable and scalable components Expertise in the use of promises, callbacks, and other asynchronous programming concepts Strong understanding of SQL/NoSQL databases and advanced database concepts Ability to design and plan database schema and architecture Familiarity with performance tuning and application-level caching Familiarity with cloud platforms (eg, AWS, Azure, Google Cloud) and ability to leverage cloud services for application development and deployment Proficiency in creating complex UI/UX systems for web or mobile applications Understanding of advanced usability concepts such as information architecture and user flows Familiarity with motion design and animation techniques Ability to work with cross-functional teams including developers and product managers Managing infrastructure as code using tools such as Terraform, CloudFormation, or Ansible Designing and implementing disaster recovery and business continuity plans

Key Responsibilities: Demonstrates proficiency in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. Expected to deepen this expertise further. Translates data-related client requirements into project tasks and deliverables, with an understanding of complex problems and solutions. Drives data solutions within projects, with a focus on innovation and value creation. Provides technical guidance and support to team members on data science methodologies, tools, and algorithms. Acts as a point of escalation for data science-related issues within the project, working towards efficient resolution. Reviews and ensures adherence to performance parameters for data science tasks, with a focus on data quality and model performance. Balances data science workload within the team, considering the skills and capacities of team members. Champions learning initiatives for upskilling and cross-skilling in data science within the team, including knowledge sharing sessions and promoting best practices. Contributes to the development of new data science solution offerings, leveraging insights from project work. Encourages team members to build technical expertise and innovate within the realm of data science. Begins to build and nurture client relationships with a focus on identifying opportunities to add value through data science. Starts to develop proficiency in at least one of data engineering, MLOps, product engineering, and cloud services, and applies this knowledge within projects. Begins to contribute to the organizations thought leadership in data science, such as writing articles, giving presentations, or contributing to internal forums. Actively identifies and communicates opportunities for the organization to enhance its data science capabilities, including new tools, methodologies, or service offerings. Keeps an eye on industry trends in data science to ensure personal growth and the competitive advantage of the organization