Presales(Inside Sales)

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.

Key Responsibilities

• Model Development & Optimization
• Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
• Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
• Optimize inference speed and accuracy for real-time video processing on GPUs.
• Video Analytics & Tracking
• Develop multi-camera object-tracking algorithms across disparate video sources.
• Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
• Infrastructure & Deployment
• Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
• Automate CI/CD pipelines for model training, evaluation, and deployment.
• Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
• Collaboration & Documentation
• Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
• Write clear technical documentation, API specs, and best-practice guides.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
• 2-3+ years hands-on experience with:
• YOLOv8 or YOLOv11 (training, inference, transfer learning)
• Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
• Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
• Strong Linux skills: server provisioning, SSH, shell scripting.
• Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
• Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).

Preferred Qualifications

• Familiarity with video-streaming protocols (RTSP/WebRTC).
• Knowledge of microservices architecture and API gateways.
• Exposure to MLOps platforms (MLflow, Kubeflow).
• Strong debugging, profiling, and performance-tuning abilities.

Sholinganallur location: (Videocon D2H Process) (60 Open positions)

Process: Videocon D2H

Inbound voice process-Tamil

Should be flexible for rotational shifts

Male/Female candidates

Qualification: +2 Pass & above

Should reside near Sholinganallur locations Immediate joiners only

CTC: 11000/Fixed (No ESI & PF)

Address:

Tek Meadows Campus

Rajiv Gandhi Salai, Chennai, Tamil Nadu 600119.

Opp Accenture & Near Dollar Bus Stop

Dear,

I hope you’re doing well! We are currently hiring for an Automation QA Engineer (API Automation) role at Xebia, and based on your experience, we believe you could be a great fit. Please find the job details below:

Job Details:

⏰ Shift: 2 PM – 11 PM

🏢 Work Mode: Hybrid (3 days a week) across Xebia locations

📆 Notice Period: Immediate joiners or up to 30 days

Job Description:

We are looking for an Automation QA Engineer with 5+ years of test automation experience, specifically in API automation.

Must-Have Skills:

✅ Hands-on experience with REST API testing

✅ Strong knowledge of Java, Rest Assured, and Cucumber

✅ Experience working in an Agile software development environment

✅ Hands-on experience with SQL

Nice-to-Have Skills:

➕ Experience with Selenium and Appium for web & mobile automation

➕ Hands-on experience automating both iOS and Android native applications

If you meet the above criteria and are interested, kindly share your updated CV along with the following details:

🔹 Total Experience:

🔹 Current CTC:

🔹 Expected CTC:

🔹 Current Location:

🔹 Preferred Location:

🔹 Notice Period / Last Working Day (if serving notice):

⚠️ Kindly share your details only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response! Feel free to reach out if you have any questions.

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

Job Descriptions:

1. Job Requirement

We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.

Responsibilities:

• Develop and deploy GenAI-based applications to solve complex business problems.
• Implement RAG frameworks to enhance information retrieval and response accuracy.
• Design and optimize document chunking strategies tailored to specific data types and use cases.
• Build and manage data embeddings using various vector databases for high-performance similarity searches.
• Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
• Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
• Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

2. Required Technical Skillsets

Mandatory Skills:

• Proficiency in Generative AI frameworks and technologies like
• Prompt Engineering – creating specific prompts to guide LLM outputs
• Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
• Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
• Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
• Expertise in designing and implementing chunking strategies for diverse datasets.
• Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
• Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
• Experience with API integration for AI services and building scalable applications.

Desirable Skills:

• Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
• Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
• Exposure to different chunking strategies, including overlap and semantic segmentation.
• Understanding of DevOps practices for deploying and managing AI models in production.
• Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.

• Providing technology leadership, vision, and passion to the product team.
• Working closely with the product management team and engineering team to transform customer needs into product engineering architecture and initiatives.
• Responsible for defining and implementing solid product engineering best practices and processes to guarantee results for product delivery.
• Take ownership and drive technology initiatives in the organization.
• Manage the product architecture design and reviews, review platform test automation, and DevOps Practises.
• Recruiting and mentoring a team of world-class developers.
• Provide the Delivery and Support teams with technical advice and support.

• Should have a strong technical background in product development and the complete software development life cycle.
• Coding skills are mandatory and we’re looking for someone who is technology agnostic and can jump in where needed. Our current tech stack scales across various technologies and platforms: JAVA, Ionic/Angular, IOS, Android, PHP and Python among others.

• Flexible, adaptable to the challenging pace of identifying and adopting new technologies.
• Have a strong sense of ownership and motivation to make our product successful.

• Result-oriented with a strong sense of drive and driven technology initiatives in previous jobs.

• Must have experience in building teams, identifying and mentoring talent, and working on architecting and building large-scale products.
• Must have an excellent understanding of the current web and mobile app technology landscape.
• The ideal candidate should have 12+ years of experience in software engineering with at least 8-10 years in product development. 
• Last position as an technical owner of a product engineering team with at least 15 people.
• A Bachelor’s degree or better, preferably in Computer Engineering, from a reputed college/university.
• Excellent verbal and written communication skills.

Job Title: Digital Marketing Intern (Lead Generation & Performance Marketing)

Company Overview: Urbanroof is a dynamic and innovative civil industry company committed to Urbanroof was born from this mission is clear: to create awareness and offer preventive-based solutions for the care and maintenance of construction properties. We are seeking a highly motivated and enthusiastic Digital Marketing Intern to join our growing team. This internship provides an excellent opportunity for someone looking to gain hands-on experience in lead generation and performance marketing in the digital space.

Position Summary: As a Digital Marketing Intern, you will play a crucial role in driving lead generation and optimizing performance marketing campaigns. You will work closely with the marketing team to implement strategies aimed at increasing brand awareness, attracting qualified leads, and ultimately contributing to the growth of our business.

Key Responsibilities:

1. Lead Generation:

• Identify and target potential customers through various digital channels.
• Collaborate with the sales team to understand target audience profiles and tailor lead generation efforts accordingly.
• Utilize social media, email marketing, content marketing, and other online platforms to generate high-quality leads.

1. Performance Marketing:

• Assist in the planning, execution, and optimization of digital advertising campaigns (Google Ads, Facebook Ads, LinkedIn Ads, etc.).
• Monitor key performance indicators (KPIs) and analyze campaign data to identify areas for improvement.
• Implement A/B testing to refine ad copy, creative, and targeting strategies.

1. Content Creation:

• Contribute to the creation of engaging and compelling content for digital marketing campaigns.
• Brainstorm ideas for concept on new campaigns
• Collaborate with the content team to ensure alignment between content and performance marketing goals.

1. Analytics and Reporting:

• Compile and analyze data from various sources to generate reports on campaign performance.
• Provide actionable insights to optimize campaigns and improve overall digital marketing effectiveness.

1. Research and Stay Updated:

• Stay informed about industry trends, competitor activities, and emerging digital marketing technologies.
• Research and recommend new approaches to enhance lead generation and performance marketing efforts.

Qualifications:

• Currently enrolled in a relevant undergraduate or graduate program.
• Strong interest in digital marketing, lead generation, and performance marketing.
• Basic understanding of digital marketing concepts and platforms.
• Excellent analytical skills with proficiency in Microsoft Excel or Google Sheets.
• Strong communication skills, both written and verbal.
• Proactive, self-motivated, and eager to learn.

Duration: 6 months(can be extended).

Location: Onsite