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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

Hiring for the position of Technical Manager responsible for Backend and infrastructure for mobile app and website.

Role

●        Talented Leader who will be responsible for Leading a group of talented technical individuals to build scalable, and secure products

●        Leads our Back-End and infrastructure

●        Drives architecture and the design of enterprise mobile/web/API solutions at scale

●        Work with Product, Testing and Infrastructure teams to understand product vision and requirements

●        Oversee the development and execution of development plans and report on execution

●        Work with Product and testing teams to understand product vision and requirements

●        Has deep exposure to all aspects of engineering, modern web, desktop & mobile application architectures, data modelling, high level design, low level design, non-functional technical requirements and visual design

Requirement

●        8+ years of experience in hard core development in predominantly product development companies

●        Strong troubleshooting, debugging and problem-solving skills

●        Proven track record of building scalable and reliable services on Cloud

●         Architecture & Design

●        Solid experience of designing end-to-end architecture and design of applications using one or more platforms for large-scale high-throughput solutions

●        Design and implement technical governance process as appropriate across the application development lifecycle

●        coding guidelines, quality standards, best practices, code acceptance criteria, automation

●        Experience in collaborating with the team in reviewing application architecture. - Node.js, Web Services REST, MySQL/MongoDB/NoSQL

Education: Engineering/MBA

Job description

We are looking for enthusiastic candidates with a flair for English writing to join as Content writer for a search firm. You will be responsible to create insightful, engaging and credible content following the editorial guidelines.

Required Candidate profile

Knowledge of fundamental grammar

Excellent English writing skills

Be creative and innovative thinker

Enthusiastic about researching trending content

Role: Content Creation / Writer

Industry Type: HR

Department: Content, Editorial & Journalism

Employment Type: Full Time, Permanent

Role Category: Content Management (Print / Online / Electronic)

Education

UG: B.A in English, Journalism, Any Graduate

PG: M.A in English, Journalism, Integrated PG in Journalism / Mass Communication

About the Company:

Equirus is a leading mid-market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Job description:

• Empanel distributors to sell the investment management schemes

• Generate sales as per targets laid down through a judicious mix of external channel partners, internal sales channels, and direct clients, as outlined.

• Handling channel and client queries

Strategy Planning:

• Achieve set targets through a designed strategy

• Keep monitoring & review strategy on an ongoing basis

Internal Coordination:

• Liaising with senior management to arrive at clear objectives for the department

• Resource planning

• Liaising with investment teams to enable client interaction & information

• Liaising with operations and ensuring smooth functioning between the department & operations.

• Ensure proper compliance concerning all channel partners - distributors/clients etc.

Compliance:

• Ensure all activities are as per proper compliance internally and as per regulatory requirements

• Ensure all distributor agreements/client documentation has met all regulatory & compliance requirements on an ongoing basis.

Location: Mumbai

Qualifications:

• Graduate

• Great command over English & Regional Language.

• Experience 4 – 5 years of B2B Sales

Job Description :

Salesforce Developer with a minimum of 5-7 years of work experience in designing, developing, testing and deployment of CRM solutions on the salesforce platform. The developer will work with the distributed team and will be responsible for designing and implementing end to end solutions and integrate with the in-house platform and infrastructure.

We are looking for a passionate hands-on programmer who is willing to spend most of the time in code and delivering quality code by working closely with development leads and architecture teams in understanding and designing the solution. The candidate should be able to work collaboratively in a global setting and should be a go to person for troubleshooting any issues that may arise.

Qualifications – External Primary Skills / Must have :

* 3-7 years of experience as a Salesforce Developer

* Hands on experience and in-depth knowledge in LWC, AURA, Apex and Visualforce development.

* Designing solutions with out of the box features, custom configuration and code on the Salesforce platform.

* Experience in DEVOPS process using tools like FLOSUM, Jenkins or any CI/CD based tooling.

* Familiar in using SFDC metadata API using ANT migration too.

* Hands on experience in integrations using REST and SOAP, Workbench

* Knowledge of OOP concepts and application

* Good knowledge HTML5, CSS3, Javascript and JQuery

* Write clean, scalable code using Salesforce programming languages

* Excellent troubleshooting and communication skills, and attention to detail.

* BE/ME/BSC/MSC in Computer Science, Engineering or a related field * Ability to prioritize, be flexible and handle multiple projects with varying deadlines in a multi-task environment.

Desired Skills:

* Participate in requirements analysis

* Experience in Wealth Management or a similar Financial environment * Experience in working with Data teams to load and export large volume of data to and from Salesforce.

* Knowledge of Salesforce suite of products for integrations with other applications.

* Familiarity with Agile Methodology, Test-Driven Development and software design patterns.

* Test and deploy applications and systems with various teams

* Revise, update, refactor and debug code to improve existing software * Develop documentation throughout the software development life cycle

* Willing to take up challenges and learn new technologies

The Sales Executive will be responsible for driving the sales efforts of the organization by identifying new business opportunities, maintaining relationships with existing clients, and achieving revenue targets. The ideal candidate should possess excellent communication skills, have a passion for sales, and be able to work independently to meet deadlines and achieve goals. Qualifications • Customer Service Representatives and Customer Support skills • Customer Satisfaction and Customer Service skills • Customer Experience skills • Excellent communication and interpersonal skills • Problem-solving and conflict resolution abilities • Knowledge of the BFSI sector is a plus • Minimum of a Batchelors required. • Freshers allowed

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

We are looking for a Client Key Account Manager who has an experience in coordinating with the clients and the Digital marketing team. The Account manager will be the liaise between clients and the internal teams (content writers/graphic designers/ implementors/ Billing) to ensure the timely and successful delivery of solutions pertaining to our client's needs. Knowledge of LinkedIn Advertising or PPC campaign is a must. Also, understanding of tech is a plus since we have major tech clients on board.

Experience - 4 years - 5 years as an Account manager experience

The Ideal Candidate

Client Management: Your main task as an Account Manager is to understand and manage clients’ expectations, coordinating with the client and the team and keep them aware about the actions you're taking and how we're progressing. Communication with the client will be basic as your main job is to get results for the clients. Responding to client queries (Account updates, Billing Inquiries, or General complaints) in an effective manner, via Phone calls, Emails, and Chats within the time limits and following up to ensure resolution whenever required.

LinkedIn Ads / PPC campaign: Experience with LinkedIn Ads / PPC campaign is required. You are expected to to make day to day changes in the LinkedIn ad manager and take care of the campaigns. Not only do you need to know the fundamentals of LinkedIn or PPC Ads, but also be experienced enough to come up with campaign strategies and manage long term while getting results.

Accounts handled: You should have handled minimum 50 lakhs worth of ad spent in past on either PPC campaign / LinkedIn Ads campaigns.

Problem Solving: We’re always here to support our team members but you need to be someone who can roll up your sleeve and do your best to deal with problems - and solve those which you can actually solve. Identifying customer needs, and problems and taking proactive steps to maintain positive experiences.

Marketing Strategy: Your main job is to learn about the client's business and understand what they sell, who they sell to, etc. in order to use this to guide the client towards strategies that help their ad campaigns become as profitable as possible (with the account executive’s & account lead’s help).

Important Personality Traits

• Persuasive, Assertive, Confident, Direct
• Strong English proficiency
• Should be available in IST time zone
• Willing to work in US time zone, as and when required
• Remote working.
• Fast Internet & Power backup (if you have frequent power cut issues).
• Ready for Video calls at all times. Video calls are an integral part of maintaining the human connection while working from Anywhere.

Desired Candidate Profile

• BSc or M.Sc in Nutrition and Dietetics
• Telesales experience of 18 months or more (at one organisation)
• Excellent communication skills in English & Hindi
• Multiple Languages will be an add on benefit
• Exceptional communication and influencing skills
• Ability to deliver sales pitch in a consultative manner
• Confidence and empathy while on the call
• Good listening skills    

• 3 to 4 years of experience in Software Sales (SaaS/Cloud Software)
• e-Learning/LMS Sales experience is preferred
• Excellent verbal and written English

• Identifying business opportunities, establishing contact and developing relationships with prospects
• Analysing the need of the prospect, conducting product demonstrations and recommending solutions.
• Maintaining relationships with clients by providing support, information, and guidance
• Identifying product improvements based on current industry trends, market research and competition