Tableau Developer

Key Responsibilities:

1. Network Engineering & Team Leadership

• Architect & Maintain: Design, implement, and manage secure, scalable network architectures (LAN, WAN, VPN, and Google Workspace) supporting both corporate offices and widespread on-site clinic networks.
• Lead the Team: Mentor and manage a team of system/network engineers, setting clear milestones, managing internal ticketing escalations, and conducting performance reviews.
• Uptime & Redundancy: Ensure 99.9% uptime for critical health-tech delivery systems by monitoring network traffic, troubleshooting bottlenecks, and implementing failover mechanisms.

2. Data Privacy, Cyber Security & Compliance Safeguards:

• Privacy & Zero-Trust Infrastructure: Implement strict access control mechanisms, data encryption standards (at rest and in transit), and zero-trust network frameworks to protect sensitive personal health information (SPI/PHI).
• End-to-End Security Architecture: Oversee the deployment and maintenance of enterprise-grade Antivirus/EDR solutions, End-to-End Firewalls, and comprehensive Cybersecurity frameworks to defend against external and internal threats.
• Access Control & Governance: Define, implement, and enforce robust Access Control policies—including Least Privilege and Role-Based Access Control (RBAC)—across all corporate, clinical, and Google Workspace environments.
• Access Reviews & Audits: Establish and oversee routine, formalized Access Review processes, ensuring user permissions, administrative privileges, and third-party access are regularly audited and validated.
• Regulatory Alignment & Audit Readiness: Align IT, network policies, and access governance protocols with Indian data protection laws (DPDP Act) and global healthcare standards (HIPAA principles). Conduct routine vulnerability assessments and maintain clean compliance logs.

3. Data Data Understanding & Visualization:

• Infrastructure Analytics: Look beyond raw logs. Analyze data flow patterns, bandwidth utilization, and system performance logs to deeply understand network health.
• Executive Dashboards: Transform complex IT operational data, compliance metrics, and access audit logs into intuitive, actionable visual dashboards using tools like Tableau, Power BI, or AWS QuickSight.
• Data-Driven Decisions: Present clear data trends to the executive leadership team regarding resource utilization, forecasting future capacity needs, and justifying infrastructure spend.

Job Title: Quality Analyst (QA) – Insurance Process

Location: Thane

Process:

SBI Insurance Process

Kotak Mahindra Bank – Insurance Sales Process

Job Description / Roles & Responsibilities:

Monitor and evaluate calls of insurance sales agents as per quality standards

Ensure adherence to process guidelines, compliance, and regulatory norms

Identify gaps in calls and provide constructive feedback to agents

Prepare daily/weekly quality reports and share insights with the team

Support process improvement and training initiatives

Maintain quality benchmarks and improve overall customer experience

Eligibility Criteria:

Qualification: HSC / Graduate

Experience: 6 months to 2 years as QA in Health or Life Insurance Sales Process

Good knowledge of insurance products and QA parameters

Strong communication, listening, and analytical skills

Salary:

₹25,000 to ₹28,000 (In-hand)

Other Requirements:

Immediate joiners preferred

Ready to work from office

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Job Title: Salesforce QA Engineer

Experience: 6+ Years

Location: Bangalore - Hybrid (Manyata Tech Park)

Job description:

6+ years of hands on experience with both Manual and Automated testing with strong preference of experience using AccelQ on Salesforce ans SAP platforms.

Proven expertise in Salesforce particularly within the Sales Cloud module.

Proficient in writing complex SOQL and SQL queries for data validation and backend testing.

Extensive experience in designing and developing robust, reusable automated test scripts for Salesforce environments.

Highly skilled at early issue detection, with a deep understanding of backend configurations, process flows and validation rules.

Should have a strong background in Salesforce testing, with hands-on experience in automation tools such as Selenium, Provar, or TestNG. 

You will be responsible for creating and maintaining automated test scripts, executing test cases, identifying bugs, and ensuring the quality and reliability of Salesforce applications. 

A solid understanding of Salesforce modules (Sales Cloud, Service Cloud, etc.) and APIs is essential. 

Experience with CI/CD tools like Jenkins and version control systems like Git is preferred. 

You will work closely with developers, business analysts, and stakeholders to define test strategies and improve the overall QA process. 

We are Hiring a ASP.NET MVC/Core Professional, for Ahmedabad Location (Onsite/Hybrid)

Apply here : https://prishusoft.com/jobs/aspnet-mvccore-professional

Experience Level:

• Looking for professionals with 4 to 5 years of experience in web application development using ASP.NET technologies.

Key Responsibilities:

• Develop, maintain, and enhance web applications using ASP.NET MVC and ASP.NET Core.
• Write clean, scalable, and efficient code following best practices and coding standards.
• Design and implement RESTful APIs with ASP.NET Web API.
• Collaborate closely with front-end developers and UI/UX designers to deliver a seamless user experience.
• Work with MSSQL databases, writing complex T-SQL queries, stored procedures, and ensuring data integrity.
• Participate in code reviews, contribute to architectural discussions, and help improve overall application performance.

Technical Skills & Expertise:

• Proficiency in ASP.NET MVC with at least 1 years of hands-on project experience.
• Solid working knowledge of ASP.NET Core to build modern web applications.
• Strong programming skills in C#, JavaScript, and HTML.
• Comfortable working with .NET Framework versions 4.5 and above.
• Experience building and consuming ASP.NET Web APIs.
• Hands-on experience with MSSQL, including TSQL, complex queries, indexing, and optimization.

Soft Skills & Communication:

• Ability to clearly communicate ideas and technical concepts in both verbal and written form.
• Collaborative mindset with a focus on team success and a willingness to share knowledge.

Preferred (Bonus) Skills:

• Experience with Angular (or similar frameworks like React, Vue) to build dynamic, responsive front-end applications.
• Experience with unit testing frameworks (like Jasmine, Karma for Angular) is a plus.
• Understanding of DevOps practices and CI/CD integration within testing pipelines.
• Familiarity with TypeScript for structured, scalable JavaScript development.

Build your career with us.

Glint is India’s first hyperlocal company for autocare based out of Chennai. From providing doorstep car maintenance for our customers till working closely with India’s top unicorns. We’ve created a new category of car services with cutting-edge software and best-in-class operating procedures that enables hassle free car maintenance.

In the upcoming months, we have planned to launch our business in multiple cities in India. And also, are working closely with India’s top unicorns and building our other verticals.The upcoming months will be full of growth and finding the best potentials to grow faster with us. 

At Glint, we believe in working in a collaborative environment. We  practice flat hierarchy with more transparency and good flow of information.

We are currently looking for a Customer Experience  Associate, Chennai.

Who are you at Glint ?

At Glint, you will be the customer champion who helps us to build better relationships with our customers and also play a vital role in building customer experience. 

What will you do at Glint?

Customer Experience Associate will be the first point of contact to the customer of Glint. The customer experience associate should handle the customer relationship management and helps in retaining the customers in the customer through proper communication and resolution.

• Handling customer queries through inbound/outbound chat and phone calls.
• Exploration and fact finding - Converting business problems into metric driven statements, identifying underlying hypotheses and determining/creating metrics that will accurately represent the problem as well as the solutions.
• Benchmarking, Insights and recommendations - Consistently keeping an eye on the business metrics and variations in them to:
• Help stakeholders understand changes in the voice of customers/partners. 
• Provide RCAs on hits and misses in business performances.
• Collaboratively work with the operation team. 

What we’re looking for:

•  Consistent performer who handles stressful situations and deadline pressures.
•  Experience of 1 - 3 years of experience in customer support.
• Also, freshers with good communication and wanted to work in startup 
• Candidates who have handled the non voice process will be preferred. 
•  Ability to work in a collaborative environment.
•  Empathy with a knack for understanding what a customer really needs and why they need it
•  Bachelor's degree in any discipline.

Skills we are looking for: 

• Strong customer engagement skills
• Strong communication skills 
• Very strong relationship skills 
• Good problem solving and analytical skills
• Demonstrated ability to develop creative solutions