Inside Sales Specialist

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

Analytical tool:  Redpoint 

• Research and drawing insights  
• Excellent written, oral and presentation skill  
• Critical thinking and problem-solving skill
• Applications: SQL, Redpoint  

Description:  

• Create unique fleet rich database using multi step matching rules  
• Critical thinking in identifying record survivor ship rules for identifying master record  
• Data roll-up at different levels, by providing linkage across databases  
• Learn issues clients are currently facing with their dataset  
• Foresee the problems in solving the issue during project planning based on historical work  
• Convert requirements into process flow. Customize & automate the process for upkeep  
• Helps clients identify their best Industry based on multiple KPIs’  
• Helps understand complete market, penetration level and available market  
• Identify core segments which can be penetrated with less effort.  
• Prioritize existing data to increase the penetration level
• Helps understand complete market, penetration level and available market  
• Identify core segments which can be penetrated with less effort.
• Prioritize existing data to increase the penetration level

Responsibilities & Duties: 

Making Calls to Customers, Maintaining the Database

Lead Verification

Handle client queries/escalations.

Maintain relations with the existing clients and ask to upgrade their packages or renewals

Required Experience, Skills, and Qualifications

Experience: Fresher

Skills: Proficient Written & Verbal Communication Skills in English

Qualifications: Any Graduate

Good experience in Extraction, Transformation, and Loading (ETL) of data from various sources

into Data Warehouses and Data Marts using Informatica Power Center (Repository Manager,

Designer, Workflow Manager, Workflow Monitor, Metadata Manager), Power Connect as ETL

tool on Oracle, and SQL Server Databases.

 Knowledge of Data Warehouse/Data mart, ODS, OLTP, and OLAP implementations teamed with

project scope, Analysis, requirements gathering, data modeling, ETL Design, development,

System testing, Implementation, and production support.

 Strong experience in Dimensional Modeling using Star and Snow Flake Schema, Identifying Facts

and Dimensions

Requirements:

• Developing and implementing user interface components using React.js concepts and workflows.
• Developing user interface components and implementing them with a well-known React.js workflow.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code
• In-depth knowledge of JavaScript and React concepts, excellent front-end coding skills, and a good understanding of progressive web applications.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Develop a flexible and well-structured front-end architecture, along with the APIs to support the applications