BackUp System Administrator(Dell Emc )

Role & Responsibilities:

We are seeking a Software Developer with 5-10 year’s experience with strong foundations in Python, databases, and AI technologies.

The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows.

This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities :

• Develop, test, and maintain Python-based applications and APIs.

• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.

• Work with JSON-based data structures for request/response handling.

• Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.

• Collaborate with the product and AI teams to implement new features.

• Debug, troubleshoot, and optimize performance of applications and workflows.

• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting

The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

WHAT WILL YOU DO?

● Communicating effectively with customers, proactively reaching out to potential clients, and

diligently following up on leads.

● Establishing and nurturing relationships with Channel Partners (brokers) to cultivate customer

leads.

● Profoundly comprehending the unique needs of customers and identifying lucrative sales

opportunities.

● Providing comprehensive responses to customer inquiries and promptly delivering

supplementary information.

● Keeping abreast of product and service updates, ensuring in-depth product knowledge.

● Methodically managing and updating a comprehensive customer database.

● Effectively elucidating and demonstrating the distinctive features of our products and services.

● Staying well-informed about competing products and services, and effectively positioning Ivy

Homes.

● Skillfully executing upselling strategies for our products and services.

● Conducting rigorous research to qualify new leads.

● Demonstrating a stellar track record in closing sales and consistently achieving sales targets.

WHAT DO YOU NEED TO BRING TO THE TABLE?

● 1-5 years of experience in a similar role within the Real Estate, Hospitality, Automobile, or

Insurance sectors. This is preferable but is not a barrier.

● A fervent enthusiasm for working in a target-oriented environment.

● Exceptional negotiation skills.

● Outstanding customer service skills.

● Excellent verbal communication skills in English; proficiency in additional languages is a

valuable asset.

● A keen understanding of timelines and a proactive approach to meeting deadlines.

● A proactive and tenacious attitude, coupled with a relentless pursuit of objectives.

● Strong organizational skills and the ability to manage multiple tasks concurrently.

● A remarkable memory; at any point in time, you will be driving multiple conversations where

context is the king or queen!

● This is a 6-day work-week role. Weekends will be working since maximum action in Real

Estate happens on Saturday/Sundays

● Willingness to travel within the Bangalore region.

• The role involves development using C/C++ and related technologies on Windows and Linux platforms. You will be a part of the core product team developing the product. It will involve participation in requirements analysis, impact analysis, design, coding, review, testing and preparing test cases.

● 2+ years of experience in Automation testing.

● Passionate about QA and breaking software systems.

● Knowledge of Software Testing concepts and methodology

● Understanding of Web fundamentals (HTML, JavaScript, CSS, Server Side

Programming and Database)

● Good programming skills (Java / Ruby / Python / JavaScript)

● Object Oriented Programming concepts

● Knowledge of Test Automation approaches and frameworks

● Good Hands-on experience in UI and API Automation

● Understanding of Performance and Security Testing

● Knowledge on any of performance Testing Tools (Jmeter / Loadrunner / Gatling )

● Understanding of Continuous Integration and Continuous Deployment

● Knowledge on any of Continuous integration tools (Jenkins / Travis/ Teamcity)

● Good Analytical and Problem-Solving Skills

● Good verbal and written communication skills

Roles and Responsibilities

• Develop and execute automation scripts for newly developed features. Modify existing framework to augment feature testing needs.
• Continuously monitor automation test results and ensure no random test failures in automation.
• Identify the cross-browser / platform impacts during the planning phase and ensure high test coverage.
• Identify quality assurance process gaps and suggest actions for improvement.
• Ensures Zero defect leakages.
• Contribute Non-functional Testing aspects - Performance, Security, and Translation.
• Work closely with the Development team and ensure code is delivered with high code coverage.
• Contribute to continuous Integration and Continuous Deployment.

We are looking to hire candidates (Freshers/Experienced) from any Graduate/Post Graduate courses for the role of Relationship Manager

The candidates should be proficient in English and Hindi (multilingual is also preferred), have knowledge of MS Excel and have experience (if any) in the e-commerce sector (minimum 6 months-1 per year) would be preferred, but not mandatory.

Working days- 6 (No week-off on weekends)

Shift type- Day Shift

Location- Bangalore

Looking for candidates to work in Kaikondrahalli, Sarjapur Road, Bangalore - 560035.

Salary Offered

UG

CTC offered: 4,80,000 LPA (3,00,000 LPA Fixed+1,80,000 Variable)

PG

CTC offered: 5,10,000 LPA (3,30,000 LPA Fixed+1,80,000 Variable)

Any candidate with a minimum of 6 months- 1-year experience

CTC offered: 5,10,000 LPA (3,30,000 LPA Fixed+1,80,000 Variable)

Any branch of Graduate and Post Graduate is welcome