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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
∙Design and build applications for the iOS platform (Both Objective C and Swift)
Hi Folks,
We have Job Openings for Java Full Stack Developer from Chennai /Pune Locations.
Role: Java Full Stack Developer
Primary skills: Java +Microservices + Angular 12 + Spring Boot
Year of exp : 7+
Location: Pune /Chennai.
Np: 15 Days, Immediate Joiners, NP Serving Candidates Only.
Note: If you are interested kindly share your contact details and Updated resume through in
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Position: Manager/Head- Data Scientist/Machine Learning Engineer
- Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
- AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
- Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
- Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
- Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.
Qualifications and Experience:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
- 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
- Proven track record of successful implementation of AI/ML models with tangible business impact.
- Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with image data, including feature extraction, object detection, and classification.
- Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.
- 7+ years of experience in IT
- Demonstrable expertise in Golang development services, including a deep understanding of its syntax, advanced features, and standard library
- Familiarity with Go routines and channel patterns, as well as experience in writing high-performance Go code
- Solid grasp of web development fundamentals, including HTTP/HTTPS protocols, RESTful API design, data structures, and WebSockets
- Experience with designing and implementing microservices in Go and an understanding of containerization and orchestration technologies like Docker and Kubernetes
Primary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
Requirements:
- Highly proficient in fundamentals of Python web development frameworks like Flask, Django and Fast API
- Demonstrated experience in developing APIs using Python frameworks
- Should have deep knowledge in PostgreSQL, MS SQL Server and other SQL based Databases
5+ years of experience in Content Management Systems in general, with at least 3+ yrs. of specific Sitecore experience required. Sitecore 8.X+ experience is ideal.
· Bachelor's in computer science, software engineering or similar
· Hands-on Sitecore development experience.
· The .NET Framework including Visual Studio, C#, and ASP.NET MVC with an understanding of the basics of front end technologies.
· Client-side browser technologies including JavaScript, CSS, and HTML, Responsive Web Design, JQuery and other front end development tools. Experience with Agile methodologies
· Experience with REST, Web Services, Web application frameworks
· Experience with build automation tools
· Experience in TDD and software testing frameworks
· Knowledge of IDEs and source control management (ideally TFS, GIT, SVN or similar)
· Strong adherence to a consistent delivery methodology and associated deliverable generation
As a Program Manager – Business Central, you will:
• Manage multiple project streams of implementation / support of Dynamics 365 BC
• Liaise with onsite CSMs / customer contacts and provide delivery assurance.
• Provide strong functional and technical leadership to the team.
• Provide accurate and honest status reporting.
• Mentor the team to scale up.
• Identify opportunities with the existing customers and plan the resource pool.
• Be travel ready.
• Support Presales activities.
You Are Great:
• Should be able to manage multiple streams of implementation/support of D365BC projects.
• Strong functional and technical leadership in BC including upgrades and migrations.
• Mentor the team and identify opportunities for the team to scale up.
• Provide support to pre-sales to acquire customers by providing demos, estimations.
• plan and track the deliverables, provide accurate status report. Must Have:
• Functional knowledge of D365BC - all modules
• Business Central /Navision product knowledge
• ADO/JIRA/ or likes of it.
• Understanding of cloud and on-premises versions
• PowerApps understanding.
• Migration, Upgrades, and Integration experience
• Technical knowledge for customizing further.
• Excellent communication and presentation skills • large customization experience will be a plus.
This Noida based startup is disrupting the F&B industry by helping eateries increase their profit margin and saving time on labour.
Our client is a software-as-a-service(SaaS) startup that connects restaurants and suppliers by digitising the procurement process. It enables eateries to understand purchasing trends, auto-create purchase orders, anticipate stock out dates, set low-stock alerts, among others. The team also provides training to restaurant members on effectively using the solution. Founded by IIT Kanpur graduates, this new age venture already has more than 1,500 outlets registered on its platform and has helped restaurants reduce their operational costs by 8-10%. It also generates monthly transactions worth $1.3 million.
As a Business Development Manager, you will be responsible for identifying the leads, pitching products and services and maintaining a good relationship with clients.
What you will do:
- Acquiring new clients by pitching the company’s products/services via phone calls as well as in-person meeting.
- Demonstrating and presenting the company’s product (SAAS) to the clients.
- Following up on the generated leads to convert them into potential business for the company.
- Updating and maintaining data on a real-time basis for sales pipeline on CRM.
- Building and maintaining professional relationship with new potential clients and existing clients.
- Frequent travelling (local & outstation) to meet customers, go-to-market plans
- Tracking competition and building strategies to keep competitive edge.
What you need to have:
- 2-5 years of B2B SAAS sales experience
- Proven ability to achieve targets
- Strong in building rapport with customers
- Excellent communication and negotiation skills
- Open for Frequent travelling (local & outstation)
- Good expertise in regional language Kannada or Tamil or Bengali.
Role Summary/Purpose:
We are looking for a Developer/Senior Developers to be a part of building advanced analytical platform leveraging Big Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing and challenging work environment, and will play an important role in resolving and influencing high-level decisions.
Requirements:
- The candidate must be a self-starter, who can work under general guidelines in a fast-spaced environment.
- Overall minimum of 4 to 8 year of software development experience and 2 years in Data Warehousing domain knowledge
- Must have 3 years of hands-on working knowledge on Big Data technologies such as Hadoop, Hive, Hbase, Spark, Kafka, Spark Streaming, SCALA etc…
- Excellent knowledge in SQL & Linux Shell scripting
- Bachelors/Master’s/Engineering Degree from a well-reputed university.
- Strong communication, Interpersonal, Learning and organizing skills matched with the ability to manage stress, Time, and People effectively
- Proven experience in co-ordination of many dependencies and multiple demanding stakeholders in a complex, large-scale deployment environment
- Ability to manage a diverse and challenging stakeholder community
- Diverse knowledge and experience of working on Agile Deliveries and Scrum teams.
Responsibilities
- Should works as a senior developer/individual contributor based on situations
- Should be part of SCRUM discussions and to take requirements
- Adhere to SCRUM timeline and deliver accordingly
- Participate in a team environment for the design, development and implementation
- Should take L3 activities on need basis
- Prepare Unit/SIT/UAT testcase and log the results
- Co-ordinate SIT and UAT Testing. Take feedbacks and provide necessary remediation/recommendation in time.
- Quality delivery and automation should be a top priority
- Co-ordinate change and deployment in time
- Should create healthy harmony within the team
- Owns interaction points with members of core team (e.g.BA team, Testing and business team) and any other relevant stakeholders
Ganit Inc. is the fastest growing Data Science & AI company in Chennai.
Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics.
We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite.
We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.
Started with 3 people, the company is fast growing with 100+ employees
1. What do we expect from you
- Should posses minimum 2 years of experience of data analytics model development and deployment
- Skills relating to core Statistics & Mathematics.
- Huge interest in handling numbers
- Ability to understand all domains in businesses across various sectors
- Natural passion towards numbers, business, coding, visualisation
2. Necessary skill set:
- Proficient in R/Python, Advanced Excel, SQL
- Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions
- Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc.
- Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities)
- Should have handled large datasets and with through understanding of SQL
- Ability to handle a team of Data Analysts
3. Good to have skill set:
- Microsoft PowerBI / Tableau / Qlik View / Spotfire
4. Job Responsibilities:
- Translate business requirements into technical requirements
- Data extraction, preparation and transformation
- Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation
- Create and implement data models
- Interact with clients for queries and delivery adoption
5. Screening Methodology
- Problem Solving round (Telephonic Conversation)
- Technical discussion round (Telephonic Conversation)
- Final fitment discussion (Video Round




