3 Vision Models Jobs

Were Hiring: AI Developer | Generative AI, LLMs, Vision Models | Hybrid | 2 PM 11 PM Shift Are you passionate about building cutting-edge AI solutions? Join us at Xebia , where innovation meets impact. Were looking for an experienced AI Developer (5+ years) with strong expertise in Python, LLMs, vision models, and generative AI , ready to work on transformative projects using tools like Azure AI Studio, RAG frameworks, and vector databases . What We’re Looking For: Programming : Python (expert-level), REST APIs, Git AI/ML : TensorFlow / PyTorch, LLMs, vision models, generative AI Azure : Azure AI Studio, Azure Blob Storage, Event Hub, Kafka Frameworks : LlamaIndex, RAG, Agentic frameworks Power BI : Basic dashboards and visualizations Others : SharePoint integration, prompt engineering Responsibilities: Develop AI solutions focusing on LLMs, vision, and generative AI Build and optimize RAG apps using vector databases and LlamaIndex Integrate models with Azure services and create event-driven pipelines Collaborate with senior AI teams to troubleshoot, document, and innovate Stay updated with emerging tools and frameworks Must-Have Qualifications: Bachelor’s in CS, Data Science, or related field Minimum 5+ years of AI/ML experience with hands-on expertise in Gen AI and LLMs Strong Azure ecosystem experience Immediate joiners or those with max 15 days notice only Shift : 2 PM – 11 PM IST Work Mode : Hybrid (3 days a week) from any Xebia office Location : Open to candidates across India (Preferred: Chennai, Pune, Gurugram, Bhopal, Jaipur, Hyderabad or Bangalore) How to Apply: Please share your updated CV and the details below to vijay.s@xebia.com Full Name: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location: Notice Period / Last Working Day (if serving notice): LinkedIn URL: Primary Skill Set: Kindly apply only if you haven’t recently applied or are not in process for any Xebia roles. If this sounds like a match—or if you know someone who’d be a great fit—let’s connect! #HiringNow #AIDeveloper #GenerativeAI #LLM #AzureAI #PythonJobs #ImmediateJoiners #XebiaCareers

Role & responsibilities: Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage. Preferred candidate profile: Bachelors/Masters in Computer Science, AI/ML, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn. Hands-on experience with LLMs, prompt engineering, and model fine-tuning. Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer). Experience in workflow automation tools (e.g., Crew AI, LangChain). Knowledge of REST APIs, microservices, and containerization. Analytical mindset with a focus on process improvement. Perks and benefits: Competitive Salary and Professional development opportunities and training. Opportunity to work with cutting-edge technologies in a fast-paced environment. Collaborative and supportive work environment.

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and image classification tasks. Build and orchestrate intelligent agent workflows using prompt engineering, memory systems, retrieval-augmented generation (RAG), and multi-agent coordination. Fine-tune and optimize pre-trained models on domain-specific datasets using frameworks like PyTorch or TensorFlow. Collaborate with cross-functional teams to understand problem requirements and translate them into scalable AI solutions. Implement inference pipelines and APIs to serve AI models efficiently using tools such as FastAPI, ONNX, or Triton Inference Server. Conduct model evaluation, benchmarking, A/B testing, and performance tuning. Stay updated with state-of-the-art research in deep learning, generative AI, and multi-modal learning. Ensure reproducibility, versioning, and documentation of all experiments and production models. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 35 years of hands-on experience in designing and deploying deep learning models. Strong knowledge of LLMs (e.g., GPT, BERT, T5), Vision Models (e.g., CNNs, Vision Transformers), and Computer Vision techniques. Experience building intelligent agents or using frameworks like LangChain, Haystack, AutoGPT, or similar. Proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Scikit-learn. Familiarity with MLOps concepts and deployment tools (Docker, Kubernetes, MLflow). Strong understanding of NLP, image processing, model fine-tuning, and optimization. Experience with cloud platforms (AWS, GCP, Azure) and GPU environments. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience in building multi-modal AI systems (e.g., combining vision + language models). Exposure to real-time inference systems and low-latency model deployment. Contributions to open-source AI projects or research publications. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG pipelines. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India