
Required Skill Set :--
- Data Model & Mapping
- MS SQL Database
- Analytics SQL Query
- Genesys Cloud Reporting & Analytics API
- Snow Flake (Good to have)
- Cloud Exposure – AWS or Azure
Technical Experience –
· 5 - 8 Years of experience, preferable at technology or Financial firm
· Strong understanding of data analysis & reporting tools.
· Experience with data mining & machine learning techniques.
· Excellent communication & presentation skills
· Must have at least 2 – 3 years of experience in Data Model/Analysis /mapping
· Must have hands on experience in database tools & technologies
· Must have exposure to Genesys cloud, WFM, GIM, Genesys Analytics API
· Good to have experience or exposure on salesforce, AWS or AZUre , & Genesys cloud
· Ability to work independently & as part of a team
· Strong attention to detail and accuracy.
Work Scope –
- Data Model similar GIM database based on the Genesys Cloud data.
- API to column data mapping.
- Data Model for business for Analytics
- Data base artifacts
- Scripting – Python
- Autosys, TWS job setup.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Job Description – AI Tech Lead
Location: Bangaluru
Experience: 10+ Years
Function: AI Center of Excellence (CoE)
Reporting To: Senior Vice President – CX / Head of AI CoE
We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.
2. Key Responsibilities
A. Solution Architecture & Strategy
- Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
- Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
- Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
- Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.
B. Project Delivery & Execution Leadership
- Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
- Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
- Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
- Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.
C. Technical Hands-on Expertise
- Architect and build complex AI systems involving:
- Large Language Models (LLMs) & GenAI apps
- Agentic workflows and autonomous task orchestration
- Predictive modeling, forecasting, optimization, and statistical modeling
- Knowledge graphs, vector databases, embeddings
- Data engineering pipelines (ETL/ELT) and cloud-native architectures
- Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.
D. Team Leadership & Mentoring
- Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
- Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
- Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.
E. Stakeholder & Client Management
- Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
- Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
- Support pre-sales with solutioning, effort estimation, and technical presentations.
3. A. Technical Skills
- Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
- Hands-on experience building applications using:
- LLMs, RAG, fine‑tuning, prompt engineering
- Autonomous AI agents & multi-agent systems
- Predictive ML models (Regression, Classification, Clustering, NLP, CV)
- Expertise in microservices architecture, API design, scalable deployments.
- Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
- Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
B. Functional & Domain Skills
- Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
- Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.
C. Leadership & Soft Skills
- Strong team leadership and mentoring experience.
- Excellent communication, client-facing abilities, and stakeholder management skills.
- Strong decision-making, problem-solving, and delivery ownership.
4. Qualifications
- Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
- 10–15 years total experience with at least 5+ years leading AI/ML projects.
- Demonstrated success delivering large-scale AI programs in enterprise environments.
- Certifications in AI/ML, cloud, or architecture (preferred).
Required Skills & Qualifications :-
● 5+ years of experience in B2B sales, with at least 3 years in a leadership or senior management role.
● Proven ability to close large, complex deals and achieve ambitious sales targets.
● Strong leadership, communication, and strategic thinking skills.
● In-depth knowledge of supply chain, warehousing, or logistics sectors.
● Bachelor's degree in Business, Sales, or a related field. MBA preferred.
We are looking for an energetic and fun individual to join our team as a Digital Marketing Intern!
The successful intern will be able to learn different Digital Marketing solutions such as Search Engine Marketing, Google Ads, Facebook Ads, Social Media Marketing, Content Creation, SEO and more.
Job Title: Digital Marketing Internship
Job Type: Full Time
Education: Bachelor's (Preferred)
Stipend: ₹ 4000 - ₹ 6000 per month
Duration: 3 Months
Location: Yashoda Nagar Kanpur
About this role
We are looking for a versatile, enthusiastic content marketer with an inclination towards digital long-form content to join our founding team. As the second member of our marketing team, you'll need to possess a strong drive, take ownership of your work, and have an insatiable desire to take action and make things happen 🚀
You will be responsible for developing engaging, high-quality, and SEO-friendly content. Your primary focus will be on creating content that attracts and engages our target audience, drives organic traffic, and promotes brand awareness.
You will be working closely with the founders, marketing, and product teams to ensure that the content you produce stays relevant, user-friendly, and SEO-friendly at all times.
You will play a pivotal role in shaping our brand's voice and message and ensuring that our content is engaging and relevant to our target audience. You will be required to:
- Write a variety of well-researched, engaging, and target audience-oriented content, including but not limited to: long-form blogs, social media posts, emailers and newsletters, repackaging video content (podcasts and webinars), eBooks, whitepapers, website content, etc.
- Develop a deep understanding of the user, their stage of the journey and intent
- Frequently conducting keyword research and incorporating best SEO practices in the content you produce
- Hustle your way to find channels to promote the different forms of content that you will create
- Set up personal processes to improve the efficiency and effectiveness of the writing process: Strive to get to the published stage with minimal reviews
- Ensure all-around consistency with regard to the style, fonts, images and tone
- Research competitors and industry trends to come up with content pegs that communicate our USPs and strengths to the correct TG
- Publish high-quality compelling content within established timelines to achieve outcomes
- Work towards minimizing the time for research by curating high-quality sources for research
📎 Key qualifications
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Data Semantics
We are Product base company and Microsoft Partner
Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions.
Our Services include:
Business Intelligence & Visualization
App and Data Modernization
Low Code Application Development
Artificial Intelligence
Internet of Things
Data Warehouse Modernization
Robotic Process Automation
Advanced Analytics
Our Products:
Sirius – World’s most agile conversational AI platform
Serina
Conversational Analytics
Contactless Attendance Management System
Company URL: https://datasemantics.co
JD:
.Net
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Logic App
SQL
Regards,
Deepu Vijayan | Talent Acquisition
• The candidate will help the Product Manager define, execute, and deliver projects (Web and mobile) and services based on product roadmap that adds great value to our organization.
• The candidate will participate in developing the strategy and vision for the line of business, and look after product roadmaps and features based on team strategy.
• This role is inherently cross-functional -- you will work closely with engineering, design, SEO, sales and editorial teams to bring features to market and develop and grow new business opportunities for Taxmann.
Job Responsibilities
• Ownership of the product: Oversee and manage the product on daily basis.
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• Understand and communicate accurately the product vision and features to all stakeholders
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• B.Tech / MBA
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