Inside Sales Executive

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

Job Title: Senior DevOps Engineer

Location: Sector 39, Gurgaon (Onsite)

Employment Type: Full-Time

Working Days: 6 Days (Alternate Saturdays Working)

Experience Required: 5+ Years

Team Role: Lead & Mentor a team of 3–4 engineers

About the Role

We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.

Key Responsibilities

Infrastructure & Server Management (60%)

• Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
• Configure network bonding, firewalls, and system security for optimal performance and reliability.
• Implement and maintain high-availability solutions for mission-critical systems.

Queue Systems (Kafka / RabbitMQ) (15%)

• Deploy and manage message queue systems to support high-throughput, real-time data exchange.
• Ensure reliable event-driven communication between distributed services.

Storage Systems (SAN/NAS) (15%)

• Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
• Optimize storage performance, redundancy, and availability.

Database Administration (5%)

• Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
• Handle backup, recovery, replication, and performance tuning.

General DevOps & Automation

• Deploy product updates, patches, and fixes while ensuring minimal downtime.
• Design and manage CI/CD pipelines using Jenkins or similar tools.
• Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
• Manage web and application servers (Apache httpd, Tomcat).
• Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
• Conduct root cause analysis and implement automation to reduce manual interventions.
• Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.

Required Skills & Qualifications

✅ 5+ years of proven DevOps engineering experience

✅ Strong expertise in Linux administration & shell scripting

✅ Hands-on experience with bare-metal server management & storage systems

✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible

✅ Experience with Kafka or RabbitMQ in production environments

✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)

✅ Excellent problem-solving, troubleshooting, and leadership abilities

✅ Strong communication skills with the ability to mentor and lead teams

Good to Have

• Experience in Telecom projects involving SMS, voice, or real-time data handling.

**Gender: Female only**

**UAE (Abroad Job Opening)**

• Greet and assist clients, visitors, and suppliers in a professional manner

• Handle incoming and outgoing phone calls, emails, and messages

• Maintain visitor records and coordinate with departments for appointments

• Manage front office operations — filing, courier handling, and correspondence

• Support the HR and Admin team with documentation and scheduling

• Maintain a clean and organized reception area

• Assist in basic clerical and administrative tasks as required

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange

We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.

The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.

Responsibilities:

Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.

Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.

Improve and fix bugs in installation and automation routines.

Monitor CPU usage, security findings, and AWS alerts.

Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.

Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).

Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.

Integrate data from AWS CloudWatch.

Document all relevant information and train involved personnel in the used technologies.

Requirements:

Experience with Elastic Stack (ELK) components and related technologies.

Proficiency in automation tools like Ansible and CloudFormation.

Strong knowledge of AWS Cloud services.

Experience in creating and managing dashboards and alerts.

Familiarity with IAM roles and rights management.

Ability to document processes and train team members.

Excellent problem-solving skills and attention to detail.

Skills & Requirements

Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.

• 1-5 years of experience in a full stack software development role.
• Experience in technologies - PHP, Bootstrap, Vuejs and MySQL.
• Knowledge of Cloud services (GCP/AWS), MongoDB and Nodejs is a plus.
• Experience of working in an Agile environment
• Ability to design for scale and performance
• Ability to do peer code reviews
• Solid problem-solving skills

React Native

Redux

React Hooks

Developing new user-facing features using React Native

 Building reusable components and front-end libraries for future use

 Translating designs and wireframes into high quality code

 Optimizing components for maximum performance across a vast array of

web-capable devices and browsers

 Strong proficiency in JavaScript, including DOM manipulation and the

JavaScript object model

 Experience with popular React Native workflows (Redux)

5 Days Working

WOrk From Office

Interviews are F2F

Linux devise drivers Developer in Linux kernel envernivement

Skills: Device drivers, Linux kernel, Linux device drivers, U-boot, Scripting Like Shell Python and Yacto envernovelment

We are looking for a Big Data Engineer with java for Chennai Location

Location : Chennai 

Exp : 11 to 15 Years 

Job description

Required Skill:

1. Candidate should have minimum 7 years of experience as total

2. Candidate should have minimum 4 years of experience in Big Data design and development

3. Candidate should have experience in Java, Spark, Hive & Hadoop, Python 

4. Candidate should have experience in any RDBMS.

Roles & Responsibility:

1. To create work plans, monitor and track the work schedule for on time delivery as per the defined quality standards.

2. To develop and guide the team members in enhancing their technical capabilities and increasing productivity.

3. To ensure process improvement and compliance in the assigned module, and participate in technical discussions or review.

4. To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalation

Regards,

Priyanka S

7P8R9I9Y4A0N8K8A7S7

Angular 7 with Ionic frame work experience + strong oops concept + experience in PHP