Company Description Infocusp Innovations delivers next-generation products and scalable solutions that support business growth across Artificial Intelligence, Cloud Engineering, Software Development, Data Science, QA, and Mobile and Web App development. The company partners closely with global product organizations, contributing to R&D and end-to-end product development. Infocusp Innovations has delivered high-impact solutions in domains such as Healthcare, FinTech, IoT, Legal, AgroTech and Horticulture, Molecular Chemistry, Biology, GeoPhysics, Energy, Logistics, Recruitment, Leisure, and Gaming. With strong human and technical resources, the team turns complex product visions into reality using AI-enhanced infrastructure designs. The company focuses on making businesses smarter and systems more efficient to improve everyday life.
Role Description This is a full-time, on-site Senior AI Engineer role based in Mountain View, CA. The Senior AI Engineer will design, develop, and deploy AI and machine learning models, focusing on pattern recognition, neural networks, and natural language processing for real-world applications. The role involves collaborating with cross-functional teams to translate business requirements into technical solutions, building robust software components and services, and integrating AI models into production systems. Day-to-day responsibilities include data exploration and preprocessing, experimentation with different model architectures, performance optimization, and documentation of methodologies and results. The Senior AI Engineer will also mentor team members, contribute to code reviews, and help define best practices for AI and software development within the organization.
Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, and systems design
- Expertise in Pattern Recognition and Neural Networks for building and optimizing machine learning and deep learning models
- Hands-on experience model training, monitoring, evaluation, and deployment
- Proficiency in Software Development, with experience in Python APIs and AI ecosystems e.g., TensorFlow, PyTorch, scikit-learn, LangGraph, Pandas)
- Familiarity with GCP cloud platforms and MLOps practices for deploying and monitoring AI solutions in production
- Experience in GraphDBs a big plus
- Ability to work with cross-functional teams, communicate complex technical concepts clearly, and document solutions thoroughly
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field; advanced degree or equivalent experience preferred
- Experience working on AI projects in one or more relevant domains (e.g., Healthcare, FinTech, IoT, or other data-intensive industries) is required
