3D visualizer for interior & exterior rendering

Required Skills:

· 8+ years of being a practitioner in data engineering or a related field.

· Proficiency in programming skills in Python

· Experience with data processing frameworks like Apache Spark or Hadoop.

· Experience working on Databricks.

· Familiarity with cloud platforms (AWS, Azure) and their data services.

· Experience with data warehousing concepts and technologies.

· Experience with message queues and streaming platforms (e.g., Kafka).

· Excellent communication and collaboration skills.

· Ability to work independently and as part of a geographically distributed team.

Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools

Job Description – Gen AI Developer

Exp: 5-8 years

Role Summary

We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.

Key Responsibilities

AI Application Development

· Design and develop AI-powered business applications.

· Build enterprise AI assistants, copilots, and AI agents.

· Develop AI APIs and intelligent automation workflows.

· Integrate AI capabilities into enterprise applications.

· Create scalable and production-ready AI solutions.

Generative AI Development

· Build applications using Large Language Models (LLMs).

· Develop Prompt Engineering frameworks.

· Implement RAG (Retrieval-Augmented Generation) solutions.

· Integrate OpenAI and Azure OpenAI models.

· Develop conversational AI and intelligent assistants.

Intelligent Automation

· Build workflow automation solutions.

· Develop AI-driven business process automation.

· Create intelligent document processing solutions.

· Integrate AI with enterprise business systems.

· Automate repetitive operational processes.

Conversational AI

· Build AI chatbots and virtual assistants.

· Design conversational workflows.

· Implement multi-channel AI solutions.

· Enable human-in-the-loop AI workflows.

Model Development & Integration

· Develop and deploy machine learning models.

· Fine-tune AI models for business use cases.

· Build inference APIs and AI services.

· Support model lifecycle management.

Mandatory Technical Skills: Programming Languages

Must Have

· Python

· SQL

· REST APIs

· JSON

Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development.

Generative AI

Must Have

· OpenAI

· Azure OpenAI

· Prompt Engineering

· LLM Integration

· AI Assistants

· RAG Architecture

Good to Have

· Claude

· Gemini

· Llama Models

· Mistral

AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.

AI Frameworks

Preferred

· LangChain

· Semantic Kernel

· LlamaIndex

· Hugging Face

· AutoGen

· CrewAI

Machine Learning

Must Have

· Scikit-Learn

· TensorFlow

· PyTorch

Concepts

· Model Training

· Model Evaluation

· Model Deployment

· Feature Engineering

NLP & Semantic Search

· Natural Language Processing

· Embeddings

· Vector Search

· Semantic Search

· Text Analytics

· Knowledge Retrieval

Microsoft AI Stack

Must Have

· Microsoft Copilot Studio

· Power Automate

· Azure AI Services

· Azure AI Foundry

The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.

Cloud Platforms

Microsoft Azure

· Azure AI Services

· Azure OpenAI

· Azure AI Foundry

· Azure Functions

· Azure App Services

· Azure Storage

· Azure Machine Learning

AWS (Preferred)

· SageMaker

· Bedrock

· Lambda

· S3

Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements.

Automation & Integration

· Power Automate

· Workflow Automation

· API Integration

· Microsoft Graph API

· Intelligent Process Automation

MLOps & DevOps

Preferred

· Git

· Azure DevOps

· CI/CD Pipelines

· Docker

· Kubernetes

· Model Monitoring

· Model Versioning

Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.

BFSI Domain Experience (Preferred)

Experience in:

· Banking

· Corporate Banking

· Payments

· Risk Management

· Fraud Detection

· Insurance

· Financial Data Analytics

Soft Skills

· Strong analytical mindset

· Innovation-driven approach

· Problem-solving skills

· Excellent communication skills

· Stakeholder management

· Team collaboration

Educational Qualification

· B.E. / B.Tech.

· MCA

· M.Tech.

· Computer Science

· Artificial Intelligence

· Data Science

· Machine Learning

Preferred Certifications

· Microsoft Azure AI Engineer Associate (AI-102)

· Azure Fundamentals (AZ-900)

· Azure OpenAI Certifications

· Machine Learning Certifications

· Generative AI Certifications

Business Development Associate – EdTech Sales

Location: Bangalore

We are seeking a proactive Business Development Associate to drive sales of our EdTech products. The role involves identifying and generating leads, reaching out to schools, colleges, coaching centers, and educators, and converting opportunities into revenue. You will be responsible for product presentations, building strong client relationships, and achieving sales targets. The ideal candidate has excellent communication and negotiation skills, a passion for education technology, and the ability to work independently and collaboratively. We offer performance-based incentives, career growth opportunities, and continuous training to enhance your skills in the EdTech sales domain.

Experience / Education

• 12–15 years in mainframe infrastructure/architecture roles, including decommissioning and dismantling projects.
• Proven record of leading IT service transitions across geographies.
• Bachelor’s/master’s in computer science, Engineering, or related field.
• Certifications: ITIL Expert, IBM z/OS, or cloud/hybrid architecture certifications highly desirable.

Key Responsibilities

1. Platform Ownership & Optimization

• Own the design, optimization, and lifecycle management of the mainframe infrastructure.
• Evaluate and optimize mainframe capacity (MSU) and LPAR workloads, ensuring balance between performance and cost.
• Oversee datacenter operations, monitoring strategies, middleware (MQ, File Transfer like CFT), firewall/security clearance, and release management.
• Ensure full documentation of designs, optimizations, and lifecycle activities for audit and compliance.

2. Cross-Stakeholder Collaboration

• Work closely with stakeholders across locations and India, aligning infrastructure with business and IT objectives.
• Collaborate with application owners, operations teams, and project leaders to provide ongoing technical support.
• Act as the primary liaison with Vendors, IBM and other solution providers, driving technical synergies.
• Lead joint technical discussions with Vendors, ensuring solution alignment with transformation and exit strategies.

3. Technical Transformation & Insourcing

• Lead the transition of mainframe responsibilities from other locations to India, ensuring smooth handover and knowledge transfer.
• Build and mentor an India-based managed services team, progressively taking over steady-state operations.
• Develop a structured roadmap for insourcing and governance alignment, balancing compliance, cost, and performance.
• Provide regular technical assistance to project teams, ensuring infrastructure readiness and support.

4. KPI Ownership & Reporting

• Define, monitor, and report technical KPIs (capacity, performance, availability, incident management, and cost optimization).
• Deliver regular KPI dashboards and reports to senior management.
• Enforce KPI adherence across both internal teams and external vendors, driving corrective actions where required.

5. Decommissioning & Dismantling

• Lead the end-to-end decommissioning of mainframe components across software, middleware, and hardware.
• Manage license offboarding and termination (e.g., IDMS, CA/Broadcom), ensuring no residual dependencies remain.
• Oversee datacenter hardware dismantling and disposal, ensuring compliance with security and regulatory requirements.
• Collaborate with security and governance teams to revoke access, certificates, and data securely.
• Create detailed decommissioning playbooks, closure documentation, and audit-ready reports.

6. Housekeeping & Lifecycle Management

• Own and manage all housekeeping activities end-to-end (storage cleanup, archival, job scheduling, patching, log retention, etc.).
• Standardize housekeeping routines into clear runbooks, automating where possible.
• Ensure lifecycle management of mainframe systems, from capacity planning to decommissioning.
• Report housekeeping outcomes and ensure alignment with compliance and audit needs.

7. Knowledge Continuity & Documentation

• Take full ownership of knowledge transfer from existing responsible teams, leaving no knowledge gaps.
• Establish a structured knowledge base capturing infrastructure, decommissioning, and housekeeping processes.
• Regularly update documentation to reflect system changes, exit milestones, and best practices.

Skills & Competencies

• Deep expertise in mainframe optimization (MSU, LPAR), datacenter operations, and middleware integration.
• Hands-on experience in mainframe decommissioning, dismantling, and license termination.
• Strong understanding of housekeeping routines and lifecycle management in mainframe environments.
• Proven ability to lead cross-country transitions (Other locations to India) and multi-vendor ecosystems.
• Strong vendor and partner collaboration skills.
• Strategic mindset to balance stability, compliance, cost optimization, and modernization.
• Excellent communication, documentation, and executive reporting capabilities.
• Leadership in building, mentoring, and scaling technical teams in a managed services model.

• Understand the business and the potential to promote the business and brand.
• Analyzing market and sales information
• Identification of prospective clients.
• Preparing a go-to-market strategy on digital, social media and print media
• Set up a Brand identification strategy and execution plan
• Research competitive products by identifying and evaluating product characteristics, market share, and pricing, and maintaining research databases.
• Tracks product line sales and costs by analyzing data and reviewing the competitor's reach
• Supports sales staff by pre-sales tasks, providing sales data, market trends, forecasts, account analysis, and new product information; relaying customer services requests
• Follow up with Clients through the CEO's contacts
• Website maintenance and press releases
• Marketing collateral – creation and maintenance and presentations
• E – campaign coordination
• Setting up tracking systems for marketing campaigns and online activities
• Reporting to management on marketing and sales activities

STATE IN CHARGE

Education

Any Bachelor Degree

Job Description

Establishing good relationships with Bank's LHO, RBO, DSH & Link Branches.

- Appointment of Kiosk operators in allocated URBAN locations.

- Responsible for ensuring completion & submission of documents at the Bank's office for opening CSPs.

- Ensuring proper selection of CSP location & Kiosk Operator with vision of business sustainability.

- Working towards increasing business performance of CSP's

- Controlling & monitoring of CSP's to avoid Frauds.

- Manages all state level activities and coordination .

- Representation at regional level offices as well as district level offices.

- Any other work; as and when required pertaining Financial Inclusion business

Requirement of Candidate:

1. Graduate

2. Min Exp. of 5 years

3. financial inclusion (BFSI) sector

4. Should have handled a team .

5. Computer Skills - Mails, MS Excel, MS Word.

6. Good Communication skills (English and local Language) - Written & Oral

Provide guidance, mentorship and effective knowledge management within the team to ensure profitability

#business

- Identify, assess and manage risks arising out of operational plan, design or delivery

- Manage multiple stakeholders and work closely with them.

- Ensure a balance with sometimes, competing needs and priorities

- Develop guidelines for effective reflection, learning, and change

- Work on the results from learning and reflection exercise to create best practices and introduce process improvements

Employment terms: Full time

Preferred Date of joining: Latest possible

Travel expenses & Mobile reimbursement: As per the team budget and requirement of the role.