Skip to Main Content

Job Title


AI Specialist


Company : Integer IT Solutions


Location : Hyderabad, Telangana


Created : 2025-09-06


Job Type : Full Time


Job Description

AI Specialist – Intelligent Systems & Applied Machine Learning Why Join Us We’re a fast-growing, innovation-driven startup building scalable AI solutions for networking, intelligent systems, and enterprise-grade products (including our flagship Saarathi AI and many other platforms). As part of our dynamically scalable group of companies , you’ll work in a hands-on, entrepreneurial environment where character, energy, and vision matter just as much as technical expertise. Role Overview We are seeking a highly motivated AI Specialist (3–5 years experience) with strong technical depth and a startup mindset. This role is both hands-on and visionary : you’ll design, build, and deploy AI solutions across NLP, Generative AI, and Intelligent Networking while also contributing to product roadmaps and client discussions. If you thrive in fast-moving environments, enjoy solving problems end-to-end, and want to directly shape the future of AI solutions, this is for you. ⸻ Key Responsibilities AI Model Development & Deployment   •  Design, train, and fine-tune models (NLP, LLMs, multimodal, RL).   •  Optimize deep neural networks and transformer architectures (e.g., GPT, Gemini, LLaMA etc.,).   •  Deploy and scale models via Docker/Kubernetes, REST/gRPC APIs. Data Engineering & Feature Work   •  Preprocess and clean structured/unstructured data for production.   •  Build robust pipelines (Airflow, Spark, or custom ETL).   •  Implement advanced feature extraction and dimensionality reduction. Research & Innovation   •  Stay on top of AI trends (GenAI, RAG, multimodal learning, prompt engineering).   •  Experiment and bring forward practical innovations to products.   •  Document learnings via internal knowledge bases, blogs, or POCs. Collaboration & Growth   •  Work closely with product owners, researchers, engineers, and client-facing teams.   •  Take ownership of technical discussions with clients when needed.   •  Mentor junior engineers as the team scales. ⸻