We are seeking a motivated Junior AI/ML/CV Engineer to join our team and contribute to the development and deployment of real-world AI applications. The role involves working on computer vision projects, voice-based agents, and chatbot systems with a strong focus on practical implementation. This position offers an excellent opportunity to gain hands-on experience in cutting-edge AI technologies while collaborating closely with an experienced engineering team.
Key Responsibilities
- Develop and fine-tune YOLOv8 and YOLOv11 models for object detection and image/video analysis tasks.
- Build and integrate text and voice-based chatbots using LangChain, large language models (LLMs), and speech APIs.
- Contribute to the development of voice agents and avatar/deepfake technologies for interactive AI applications.
- Work with vector databases and embeddings to support retrieval-based AI systems.
- Collaborate with the AI team to deploy, monitor, and optimize models in production environments.
Required Qualifications
- Proficiency in Python programming and experience with deep learning frameworks such as PyTorch or TensorFlow.
- Hands-on experience with computer vision libraries like OpenCV.
- Familiarity with YOLOv8/v11 models and their application in object detection.
- Knowledge of LangChain framework and vector databases such as Pinecone, FAISS, or Chroma.
- Understanding of speech recognition and text-to-speech (TTS) technologies.
- Experience or strong interest in working with LLMs, APIs, and chatbot development.
- Strong problem-solving skills and ability to implement AI solutions effectively.
Preferred Qualifications and Benefits
- Opportunity to gain practical experience building production-grade AI and computer vision applications.
- Exposure to generative AI, voice technology ecosystems, and advanced chatbot frameworks.
- Mentorship and guidance from a skilled AI engineering team to support professional growth.
- Full-time position with a competitive monthly salary range of Rs 60,000 to Rs 90,000.
- Work location is in person, providing direct collaboration with team members and access to resources.
This role is ideal for candidates eager to deepen their expertise in AI, machine learning, and computer vision while contributing to impactful projects in a dynamic environment.