ML Engineer - Vision

About RocketFrog.ai: RocketFrog.ai is an AI Studio for Business, delivering cutting-edge AI solutions across Healthcare, Pharma, BFSI, Hi-Tech, Consumer Services, and other industries. We specialize in Machine Learning, Deep Learning, Computer Vision, Agentic AI, and AI-driven Product Development to create real business impact. 🚀 Ready to take a Rocket Leap with Science?

: We are looking for an ML Engineer with a strong foundation in Machine Learning, Image Processing, Computer Vision, and modern AI systems. The ideal candidate should enjoy building intelligent applications using both traditional ML techniques and the latest Foundation Models, Vision-Language Models (VLMs), and Agentic AI frameworks. This role is ideal for engineers who love solving challenging technical problems, experimenting with new AI technologies, and building production-grade AI solutions. We value curiosity, strong fundamentals, and the ability to learn quickly more than years of experience. To Apply Visit the URL:

: • Design, develop, and evaluate machine learning models for real-world business problems. • Build computer vision and image processing solutions for detection, segmentation, classification, visual similarity, feature extraction, and object matching. • Develop AI applications using Foundation Models, Vision-Language Models (VLMs), and multimodal AI. • Design and implement Agentic AI workflows that combine LLMs, vision models, tools, APIs, and enterprise systems. • Perform data preparation, feature engineering, model training, validation, and performance optimization. • Build robust image preprocessing and augmentation pipelines. • Experiment with both classical machine learning techniques and deep learning models. • Collaborate with software engineers to deploy AI models into scalable production applications. • Stay up to date with the latest developments in Machine Learning, Computer Vision, Foundation Models, and Agentic AI.

& Expertise: • Strong programming skills in Python. • Good understanding of Machine Learning fundamentals, including supervised and unsupervised learning. • Hands-on experience with PyTorch or TensorFlow. • Good knowledge of Image Processing and Computer Vision using OpenCV or similar libraries. • Understanding of CNNs and modern computer vision architectures. • Familiarity with Foundation Models, Vision-Language Models (VLMs), and Multimodal AI. • Basic understanding of Agentic AI, LLMs, RAG, tool calling, and AI workflows. • Hands-on experience with FastAPI for building APIs and integrating AI/ML models into applications. • Familiarity with data structures, algorithms, probability, linear algebra, and statistics. • Experience using Git for version control. • Strong analytical thinking, problem-solving ability, and a desire to continuously learn. Desirable Skills: • Exposure to Computational Geometry and Computer Graphics, including geometric algorithms, spatial reasoning, shape analysis, visual similarity, feature matching, geometric transformations, or 2D/3D geometry. • Experience with modern vision models such as YOLO, ViT, DETR, CLIP, SAM, DINOv2, Florence-2, Qwen2.5-VL, GPT-4o Vision, Gemini, or similar models. • Experience building AI applications using frameworks such as LangChain, LangGraph, CrewAI, Agno, MCP, or A2A. • Familiarity with Docker and cloud platforms such as AWS, Azure, or GCP. • Experience integrating AI models into production software systems. • Contributions to GitHub, open-source projects, research publications, Kaggle competitions, or personal AI projects. Required Background: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical discipline. • 0–3 years of experience in Machine Learning, Computer Vision, AI Engineering, or a related field. • Fresh graduates with strong internships, research, open-source contributions, or academic projects are encouraged to apply. Why Join RocketFrog.ai? • Work on cutting-edge AI products solving real-world business problems. • Build solutions using Machine Learning, Computer Vision, Foundation Models, Vision-Language Models, and Agentic AI. • Collaborate with experienced AI scientists, engineers, and product leaders. • Take ownership of meaningful technical work from day one. • Enjoy rapid learning and career growth in a fast-moving AI-first company. 👉 If you're passionate about building the next generation of intelligent AI systems, we'd love to hear from you!