Lead Quality Assurance (QA) Engineer

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

Conga CPQ Business Analyst

Exp- 7 to 9 years

Work Mode – Remote

Employment type – Contract

Job description:

3 to 5 years of experience to support and enhance Conga CPQ and ERP systems.

Should have Conga CPQ/CLM functional expertise.

Serve as SME for Conga CPQ & ERP systems.

Perform system testing, validation and coordinate with business UAT testing.

Expert-level knowledge in product modelling, pricing configurations, and quote management.

Collaborate with teams to gather, analyze and document business requirements.

Should be good at creating stories, acceptance criteria and agile processes.

TAPPP is leading the charge in bringing premium digital entertainment content & live sports to global consumers via its prepaid platform. TAPPP is available across platforms via the Web, Mobile and Tablets. Building out this brand presents significant product and engineering challenges. At the centre of solving those challenges is the TAPPP Product Engineering team which is responsible for the TAPPP product end to end.

We are looking for a coding enthusiast who love working with code and developing software systems.

You will be a part of the core product development team that is responsible for building different components of the TAPPP platform. You will be responsible for designing, coding, reviewing, testing, bug-fixing different modules of the software product that needs to work seamlessly across different environments.

The organization is flat, process is minimal, individual responsibility is big, and there is an emphasis on keeping non-productive influences out of the everyday technical decision making process. Upholding these philosophies will be imperative as we execute our aggressive plan of global expansion over the next 2 years. The position is based in Mumbai, India.

Here is what we are looking for:

• Deep product development experience and sound understanding into these technologies

• Java/J2EE

• Spring

• Hibernate

• RESTful API's

• MySQL

• Tomcat 7

• Exposure on Grails & Amazon AWS will be a plus point

• Strong independent contributor

• An unquenchable desire to learn, attention to detail with a can-do attitude

• Comfortable working in a start-up environment

5+ years of experience in Content Management Systems in general, with at least 3+ yrs. of specific Sitecore experience required. Sitecore 8.X+ experience is ideal.

· Bachelor's in computer science, software engineering or similar

· Hands-on Sitecore development experience.

· The .NET Framework including Visual Studio, C#, and ASP.NET MVC with an understanding of the basics of front end technologies.

· Client-side browser technologies including JavaScript, CSS, and HTML, Responsive Web Design, JQuery and other front end development tools. Experience with Agile methodologies

· Experience with REST, Web Services, Web application frameworks

· Experience with build automation tools

· Experience in TDD and software testing frameworks

· Knowledge of IDEs and source control management (ideally TFS, GIT, SVN or similar)

· Strong adherence to a consistent delivery methodology and associated deliverable generation

• Power BI Report and Dashboard development.
• Building Analysis Services reporting models.
• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
• Connecting data sources, importing data, and transforming data for Business intelligence.
• Analytical thinking for translating data into informative reports and visuals.
• Should have an edge over making DAX queries in Power BI desktop.
• Expert in using advanced-level calculations on the data set.
• SQL Server with SSAS is must.
• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

• Deploy daily campaigns and triggered flows to a combined audience for key channels - email, SMS and push notifications. Execute A/B tests to optimize campaigns for revenue and engagement.
• Oversee and optimize marketing automation strategies to drive customer retention and sales, including lifecycle emails, personalized triggers, and daily campaigns.
• Maintain, publish, and optimize regular (daily, weekly, monthly, quarterly) reports  that track channel and customer-level performance.
• Provide regular reporting and analysis on campaign performance with clear direction to the team on what they can try to do differently to drive increased performance.
• Translate reporting insights into recommendations for the marketing team and cross-functional partners on how to drive sales and increase customer performance and LTV.
• Define and implement the testing agenda for campaigns and automation flows including segmentation, messaging, frequency, send day/time, personalization, etc.
• Manage promotional codes calendar, including sharing promo codes with our affiliate partners, making sure the team is aware of the promotional strategy and that it is implemented across channels.
• Develop new segmentation and targeting strategies based on customer data and business needs.
• Develop customer-facing tests to maximize customer engagement and lifetime value.
• Support project scoping to grow available data and assist with data migration between systems, as well as checking for data quality/integrity.
• Monitor competitive landscape to identify industry trends and best practices
• Analysing customer behaviour and developing aggressive retention strategies.