If you are interested in working with former heads of security, cloud experts and in building a game changing cloud security solution, join Invi Grid!
You will be at the forefront of building a ground breaking approach to cybersecurity. You will come to be in this space but stay for the vision, passion, growth and teamwork. You will be required to be a hands on coder so expertise in technologies mentioned is a must have.
Must-Have Experience
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master’s is a plus).
- Minimum 2 years of hands-on experience developing Agentic, LLM, and NLP-based applications .
- Proficient in machine learning , deep learning , and generative AI techniques.
- Experience with data preprocessing , feature engineering , and model evaluation .
- Hands-on experience with machine learning frameworks such as TensorFlow , Keras , and PyTorch .
- Strong knowledge of RAG-based models to enhance AI-driven search and retrieval systems.
- Experience deploying ML models in production environments , ensuring efficiency and scalability.
- Proficiency in programming languages such as Python , Node.js , JavaScript , and SQL .
- Experience with natural language processing (NLP) and computer vision solutions.
- Strong understanding of AI / ML algorithms , data structures , and model optimization techniques.
- Excellent analytical , problem-solving , and communication skills.
Most importantly :
Ability to work effectively in a fast-paced dynamic startup environment and meet deadlinesCreate and maintain design documentation, including style guides, patterns and specifications.Stay updated on the latest advancements in AI / ML technologies, tools, and methodologies, incorporating best practices into development processes.Collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI / ML solutions that meet customer needs and drive business value.Ability to join within 15 daysCulture : Humility, teamwork, integrity, resilienc