Head of Product-PaaS

Job Responsibilities:

• Brand Development: Create and revitalize logos, packaging, brochures, and internal branding. Elevate brand identities with compelling visual narratives.
• Develop mood boards and color palettes that align with the vision of the brand and client.
• Produce eye-catching social media creatives, including Instagram Reels and videos.
• Edit and produce high-quality video content for marketing campaigns, social media, advertisements, and other digital assets.
• Collaborate with other designers, marketing teams, and project managers to ensure alignment of creative vision and branding.
• Maintain up-to-date knowledge of design trends, video editing techniques, and best practices.
• Expertly use Adobe Creative Suite (Illustrator, Photoshop, Premiere Pro).

What You Need to Bring:

• Experience: At least 2 years of design experience. You know the drill — and you do it well.
• Mastery of Tools: You’re a whiz with Adobe Photoshop, Illustrator, Premiere Pro, and After Effects. We’re talking top-tier skills, people!
• Creative Portfolio: Your portfolio is your superpower. Show us logos, branding, videos, and anything else that screams you’ve got it.
• Design Sense: You know typography like the back of your hand, and you understand the difference between what looks good and what looks amazing.
• Video Savvy: You can make a video go from “meh” to “mind-blowing.” Sound, effects, transitions — you know it all.
• Education: With 2 years experience in Graphic Designing and Bachelor’s degree in Graphic Design, Multimedia Design, or related field (or equivalent practical experience).

The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

• Work with the RTL and System design teams to drive the physical design of the device in the early design cycle.
• Design, implement and verify suitable methodology that meets the QoR goals.
• Resolve design and flow issues related to the physical design, identify potential solutions, and drive

• Deliver physical design of entire SoC, complete with specification, flow and automation.
• Interface with the RTL design team to drive design modifications to resolve physical design issues and

• Use EDA tool-based programming and scripting techniques to automate and improve throughput and quality.
• Interact with tool vendors to drive tool fixes and flow improvements. Perform tool evaluations of new

• Bachelor’s degree (Master’s preferred) in Electrical Engineering or comparable engineering discipline.
• 5 to 8 years of relevant experience is required.
• Experience in physical design and timing closure for advanced nodes.
• Experience in Cadence EDA tools for physical design and verification.
• Experience in floor planning, power planning, CTS specification, place & route, and timing closure.
• Experience in UPF specs design and implementation.
• Be able to work with cross-functional teams, IP, and EDA vendors

• 3-7 years of experience in development of Algorithm & Functions for advance driver assist systems (ADAS), Autonomous driving (AD)
• Experienced in development using MATLAB Simulink, TargetLink, Stateflow
• Design and development of automotive feature/function software/components (ACC, AEB, TSR, LKA etc.) for ADAS/AD systems
• Coordination and regular interaction with different stakeholders and teams like testing, requirements, leads etc.
• Participate in SW requirement generation, SW architecture, detailed design etc

• Timely preparation and implementation of training calendar on monthly and annual basis
• Identifying the training needs of the employees and nominating for the suitable programs
• Timely nominations for all training programs (Internal & External) and making arrangements/ communication/ coordination
• Organizing induction training programs
• Conducting training programs for front line employees by aligning organizations’ learning strategy with business objectives
• Preparing monthly and annual training MIS and maintaining record of all trainings in HRMS/ERP

What you must have:

• Strong communication and presentation skills
• Ability to research and develop training material
• Excellent time management, problem solving, organization and leadership skills
• Good command over MS office tool
• Knowledge of various tools/ aids used in training     

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
• Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
• CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
• Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
• End to end deployment of deep learning models.

Roles and responsibilities:

• Execute tests, collect and analyze data and results, and identify trends and insights to achieve maximum ROI in paid search campaigns.
  
  
• Track, report, and analyze website analytics.

• Optimize copy and landing pages for search engine marketing.
  
  
• Perform ongoing keyword discovery, expansion and optimization.
  
  
• Research and implement search engine optimization recommendations.
  
  
• Research and analyze competitor advertising links.
  
  
• Develop and implement link building strategy.
  
  
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code.
  
  
• Work with editorial and marketing teams to drive SEO in content creation and content programming.
  
  
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.
  
  

Requirements and skills:

• Bachelor’s degree required.

• 1-2 years of experience in SEO marketing.

• Proven SEO experience.

• Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.
  
  
• Solid understanding of performance marketing, conversion, and online customer acquisition.
  
  
• In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends).
  
  
• Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite).
  
  
• Experience with A/B and multivariate experiments.
  
  
• Knowledge of ranking factors and search engine algorithms.
  
  
• Up-to-date with the latest trends and best practices in SEO. 

Selected intern's day-to-day responsibilities include:

1. Push the limits of web design and create great user experiences

2. Build smooth, stable, and fun products

3. Develop features from design through implementation and launch

4. Evaluate technical tradeoffs of every decision

5. Work with high available infrastructure practices

6. Perform code reviews that guarantee code quality

Other requirements

1. Knowledge in NextJS, React, NodeJS, HTML, JavaScript, CSS,ES6/TypeScript, Redux, React Hooks

2. Basic knowledge on version control and continuous integration systems (e.g., Git)

3. Good to have knowledge of Python, AWS, or Google Cloud

4. Good problem-solving skills, logical thinking ability, strong coding fundamentals

5. Willing to work in the startup environment, challenge yourself and grow

6. Based in Bangalore and willing to work from our office