Product Manager-Business analysis

Job Description: Customer Support Executive

Position: Customer Support Executive

 Experience: 1-4 years

CTC: 4-4.5 LPA (Fixed)

Working Days: 6 days a week

Location: Work from Office

 Shift: Rotational shifts with rotational week off

Language: Proficiency in English and Hindi required

 Transportation: No cab facility provided

Key Responsibilities:

- Respond to customer inquiries via email and phone in a positive and effective manner.

- Identify and assess customers' needs to achieve satisfaction.

- Handle customer complaints, provide appropriate solutions and alternatives within time limits, and follow up to ensure resolution.

- Adhere to communication procedures, guidelines, and policies.

- Go the extra mile to engage customers and build strong relationships.

- Provide product and service information to customers.

- Resolve product or service problems by clarifying customer complaints, determining the cause of the problem, selecting and explaining the best solution, expediting correction or adjustment, and following up to ensure resolution.

Qualifications and Skills:

- Proven customer support experience.

- Strong phone contact handling skills and active listening.

- Customer-oriented with the ability to adapt/respond to different types of characters.

- Excellent communication and presentation skills.

- Ability to multitask, prioritize, and manage time effectivel

Hello

Hope you are doing great

We have an Urgent & high-priority global opening with a leading consulting organization in Qatar. Immediate interview slots available. We are looking for a Senior Data & AI Consultant with strong Azure expertise to work in a highly client-facing consulting role.

🔹 Quick Role Overview

• Role: Senior Data & AI Consultant
• Location: Doha, Qatar (Onsite)
• Employment Type: Full-time
• Travel: GCC travel required
• Experience Required: 8+ years
• Domain: Data Strategy, Data Engineering, AI/ML, Consulting
• Industry Exposure: Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities

📌 Role Summary

The Senior Data & AI Consultant will play a critical role in driving enterprise Data & AI transformations across clients. This role blends data strategy, architecture, engineering, governance, and AI/ML delivery with strong consulting, stakeholder management, and pre-sales responsibilities.

You will work closely with CXOs, business leaders, and technical teams to design scalable Azure-based data platforms, develop advanced analytics and AI solutions, and guide organizations on responsible AI adoption.

🎯 Key Responsibilities

1. Data Strategy & Advisory

• Develop enterprise-wide Data & AI strategies and transformation roadmaps
• Perform data maturity assessments and define improvement plans
• Lead CXO-level workshops aligning business goals with Data & AI initiatives
• Guide clients on responsible and ethical AI practices

2. Data Architecture & Engineering

• Design scalable data platforms on Microsoft Azure
• Architect and implement batch and real-time pipelines using ADF, Synapse, Databricks, Event Hubs
• Build enterprise data models and modern lakehouse architectures
• Implement data quality, metadata, and lineage solutions using Azure Purview
• Partner with AI teams to ensure data readiness for ML/AI use cases

3. AI & Advanced Analytics

• Lead end-to-end AI/ML solution development using Azure ML, OpenAI, Cognitive Services
• Build ML and Generative AI solutions (LLMs, RAG, prompt engineering)
• Implement MLOps practices (CI/CD, deployment, monitoring, governance)
• Ensure Responsible AI – explainability, fairness, and compliance
• Collaborate across the full AI lifecycle: data sourcing → modeling → deployment

4. Consulting, Pre-Sales & Leadership

• Lead client workshops, PoCs, demos, and discovery sessions
• Support proposal development and solution architecture design
• Contribute to thought leadership (blogs, whitepapers, events)
• Mentor junior consultants and ensure delivery excellence

🧠 Desired Skills & Competencies

✅ Must-Have

• 8+ years of experience across Data, Analytics, and/or AI roles
• Strong hands-on experience in the Azure ecosystem
• Proven consulting and client-facing experience
• Exposure to at least one specialization:
• Data Management
• Data Governance
• AI/ML Engineering

🔧 Technical Expertise (Any one or more areas)

A. Data Management

• Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs
• Strong SQL, Python, Spark
• Data modeling, ETL/ELT, data quality frameworks
• Exposure to Microsoft Fabric / Airflow / Kafka

B. Data Governance & Strategy

• Knowledge of DAMA-DMBOK, CMMI-DMM
• Experience with Informatica (Axon, IDQ, EDC, IDMC)
• Governance operating models, stewardship, privacy frameworks

C. AI/ML Engineering

• Python, TensorFlow, PyTorch, Scikit-learn, Azure ML
• Generative AI, LLMs, RAG pipelines
• Experience in at least 3 domains: NLP, CV, predictive modeling, recommender systems, anomaly detection
• Strong MLOps exposure

🤝 Consulting & Leadership Skills

• Excellent stakeholder and CXO communication
• Strong problem-solving and business translation skills
• Workshop facilitation, proposal writing, client presentations
• Mentoring and technical leadership capabilities

🎓 Education & Certifications

Required Qualification:

• BCA / B.Sc. (Computer Science) / B.E. / B.Tech
• MCA / M.E. / M.Tech

Hi,

This is Prashant, a Senior Recruiter from Triunity Software Inc. a leading staffing organization.

Title: Staff Software Engineer with Cloud & Healthcare Experience (Need Local Candidates)

Job Location: Hyderabad, India, Hybrid with 3-days a week at our Offshore location

Job Summary:

Responsible for full stack software definition, development and maintenance for cloud-based software applications used in healthcare. Specifically, responsible for all external interfaces with the cloud applications. Work closely with the Cloud Engineering team, Project leaders to define requirements, develop code and conduct unit and system-level tests for the software you develop.

Job Responsibilities (but not limited to):

·    Work closely with Cloud Engineering team members in architecting and designing cloud- based solutions.

·    Ultrasound DICOM and Electronic Medical Record (EMR) interfaces.

·    OAuth and Single Sign-on (SSO) interfaces with cloud applications.

·    Workflow engine that automates and manages workflows in the applications.

·    Assist in the architecture, design, and deployment of the full stack product.

·    Build software that meets HIPAA and Cybersecurity requirements for medical products.

·    Be part of a small, cross-functional product team working alongside product managers, design engineers, clinical engineers and software engineers.

·    Meet all Quality Management System (QMS) requirements for design, development, testing and product release.

Minimum Education/Experience:

·    Bachelor’s degree in computer science or Equivalent

·    10+ years of software development experience with Python, Django and TypeScript/JavaScript.

·    Experience with Terraform, CI/CD and AWS.

·    Familiarity with medical imaging and interface protocols used in healthcare including DICOM, HL7, FIHR, LDAP and Single Sign-on (SSO) if preferable.

Thanks & Regards

Prashant Rathore |Sr.IT Recruiter| Triunity Software Inc.

RM Job Roles & Responsibilities:

1. Client Relationship Management: Build and nurture strong relationships with clients, understanding their real estate needs and preferences. Act as the main point of contact for clients throughout the real estate transaction process.

2. Client Consultation: Conduct detailed consultations with clients to understand their goals, preferences, and financial considerations. Provide expert advice on real estate market trends and investment opportunities.

3. Property Presentation: Showcase available properties to clients, emphasizing key features and benefits. Provide comprehensive information about the properties, including legal aspects and potential returns on investment

. 4. Transaction Facilitation: Facilitate the real estate transaction process, including property viewings, negotiations, and documentations. Collaborate with legal teams to ensure smooth and legally compliant transactions.

5. Market Analysis: Stay updated on local and regional real estate market trends. Provide clients with insights into market conditions, property values, and investment potential.

6. Customer Satisfaction: Ensure a high level of customer satisfaction by addressing client concerns and inquiries promptly. Seek feedback from clients and use it to enhance service delivery.

7. Client Retention: Develop and implement strategies to retain existing clients and encourage repeat business. Provide ongoing support and assistance even after the completion of transactions.

8. Market Research: - Conduct research on new and upcoming real estate projects, developments, and investment opportunities. - Provide clients with valuable insights into potential investment areas.

9. CRM Utilization: - Utilize Customer Relationship Management (CRM) tools to manage client interactions, maintain records, and track communication history. - Ensure accurate and up-to-date client information in the CRM system.

10. Compliance and Legal Understanding: - Stay informed about real estate laws, regulations, and legal requirements. - Ensure that all real estate transactions comply with legal standards and regulations.

11. Negotiation Skills: - Negotiate favorable terms and conditions for clients during real estate transactions.

12. Market Promotion: - Develop and implement marketing strategies to promote available properties and generate interest from potential buyers or investors. - Collaborate with marketing teams to create promotional materials.

13. Reporting and Analysis: - Prepare regular reports on client interactions, transactions, and market trends. - Analyze data to identify areas for improvement and strategic adjustments