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
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As a Product Growth Intern with a focus on User Engagement, you will play a crucial role in connecting with our user base to gather valuable insights. Your primary responsibility will be reaching out to users, arranging meetings, and conducting discussions to deeply understand their experiences, issues, and needs. These insights will directly contribute to our product development and growth strategies.
- Proactively reach out to users through various channels to arrange meetings or interviews.
- Conduct user interviews and meetings to gather feedback on their experiences, issues, and needs regarding our product.
- Analyze user feedback to identify common trends and areas for improvement.
- Collaborate with the product management team to translate user insights into actionable product strategies.
- Assist in developing and maintaining a user feedback loop to continually engage with our user community.
- Support the creation of user personas and journey maps to better understand and address user needs.
- Work with cross-functional teams including marketing, sales, and engineering to implement user-centered growth initiatives.
- Prepare and present reports on user feedback and insights, and their implications for product growth.
What We Offer:
- Hands-on experience in user research and direct user engagement.
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- Exposure to a dynamic and fast-paced startup environment.
- Mentorship from experienced professionals in product management and user research.
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Job Summary:
We are seeking a skilled and visionary UI/UX Designer with a minimum of 3 to 9 years of experience in SaaS companies and a strong background in Product Design. As the senior UI/UX Designer, you will be responsible for leading our design team and driving the creation of exceptional user experiences for our SaaS products. Your extensive knowledge of UI/UX design principles, product design methodologies, and SaaS industry expertise will be vital in shaping our design strategy and delivering innovative, user-centric solutions.
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Requirements:
- Minimum 3 years and maximum 9 years of proven experience as a UI/UX Designer in SaaS companies with a strong focus on product design.
- Familiarity with AI concepts and the ability to design interfaces that effectively communicate AI-driven insights to users.
- Proficiency in design tools such as Adobe XD, Figma, Sketch, InVision, or similar.
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Join our team and lead the charge in creating outstanding user experiences for our innovative SaaS products.
Submit your portfolio along with your application to be considered for this position.
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A project manager is accountable for initiating, planning and allocating resources, preparing
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B. Tech or an equivalent degree
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- Immediate joiners preferred*
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- Technical Skills Desired:
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- Design database tables, views, indexes
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- Team building (attitude to train, work along, mentor juniors)
- Communication skills (all kinds)
- Quality consciousness
- Analytical acumen to all business requirements
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1) Conduct telephonic survey
2) Document responses
Candidate profile:
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The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.
The Daily
- Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
- Build and lead a world-class team of ML and AI scientists and engineers.
- Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
- Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
- Identify data science opportunities that deliver business value.
- Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
- Hands on experience in Image processing for auto industry
- BFSI domain knowledge is a plus
- Provide thought leadership to enable ML/AI applications.
- Manage products priorities and ensure timely delivery.
- Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
- Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.
The Essentials
- 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
- 4 + years of managing a team of data scientists, ML and AI researchers and engineers
- Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
- Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
- Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
- Experience in deploying machine learning algorithms and advanced modelling solutions
- Experience in developing advanced analytics and ML infrastructure and system
- Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
- Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
- Works effectively cross functional teams to build trusted partnership
- Working experience in digital media and entertainment industry preferred
- Experience with Agile methodologies preferred