krtrimaIQ Cognitive Solutions
Website:
krtrimaiq.ai
Job details:
Job Title: Computer Vision Engineer
Experience: 3+ Years
Location: Bangalore
Employment Type: Full-time
Job Summary
We are seeking a talented and passionate Computer Vision Engineer with 3+ years of experience in developing some AI-powered applications using Python, Computer Vision, Deep Learning, Generative AI, Retrieval-Augmented Generation (RAG) and cloud-native technologies. The ideal candidate should have hands-on experience in designing, building, and deploying scalable AI solutions on Microsoft Azure, while leveraging Docker and Kubernetes for containerization and orchestration.
Key Responsibilities
* Design, develop, and deploy AI/ML applications using Python.
* Build and optimize Generative AI applications using Large Language Models (LLMs).
* Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
* Fine-tune prompts and optimise LLM performance for production use cases.
* Develop REST APIs using FastAPI or Flask to expose AI services.
* Build scalable data ingestion and preprocessing pipelines.
* Deploy AI applications on Microsoft Azure using cloud-native services.
* Containerise applications using Docker and orchestrate deployments with Kubernetes.
* Integrate AI solutions with enterprise applications and databases.
* Monitor, troubleshoot, and optimise AI model performance and cloud infrastructure.
* Collaborate with Data Scientists, Software Engineers, and Product teams throughout the development lifecycle.
* Follow software engineering best practices including CI/CD, version control, and code reviews.
Required Skills
* 3+ years of experience in Python development.
* Strong knowledge of computer vision, Deep Learning, Generative AI and Large Language Models (LLMs).
* Hands-on experience with RAG architectures and vector databases (FAISS, ChromaDB, Pinecone, Azure AI Search, etc.).
* Solid understanding of Machine Learning concepts and model deployment.
* Hands-on experience with Docker and Kubernetes.
* Experience developing APIs using FastAPI or Flask.
* Knowledge of SQL and NoSQL databases.
* Familiarity with YOLO CV, CNN etc....
* Strong debugging, analytical, and problem-solving skills.
* Excellent communication and collaboration abilities.
Preferred Skills
* Experience with Hugging Face Transformers.
* Knowledge of prompt engineering and LLM optimization.
* Exposure to vector databases like Pinecone, Weaviate, Milvus, or Azure AI Search.
* Experience with monitoring tools such as Prometheus and Grafana.
* Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform/Bicep).
Educational Qualification
* Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
Click on Apply to know more.