Company Description Gemtech PARAS is an AI RFP analysis and bid execution platform. It helps teams understand complex RFPs faster by turning long documents into clear summaries, requirements, and checklists. It also automates compliant submission preparation, reducing manual effort, errors, and follow-up.
In simple terms, it helps businesses move from RFP discovery to submission with more speed, clarity, and control. The platform is uniquely engineered to optimize how organizations discover, evaluate, and secure complex public and private sector contracts.
~ We’re looking for a powerhouse AI/ML Engineer to turn cutting-edge research into production-ready reality. You won't just be building prototypes; If you live at the intersection of robust software engineering and advanced machine learning, let’s talk.
Advanced Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and backend service development using FastAPI .
- Vector Infrastructure: Proven experience building and maintaining pipelines with FAISS , AWS Open Search , or similar vector databases.
- Cloud Ecosystems (Mandatory): High proficiency in either AWS (SageMaker, Lambda, ECS, Step Functions) or Azure (Azure OpenAI, Functions, App Services).
- MLOps & DevOps: Strong grasp of the ML lifecycle—monitoring, versioning (MLflow), and CI/CD pipelines (Jenkins, GitHub Actions).
Design & Own: Lead end-to-end ML/GenAI workflows, from data ingestion and preprocessing to deployment and inference.
Architect robust GenAI systems including API design, data pipelines, and scalable monitoring.
Partner with cross-functional teams to weave AI capabilities into dynamic applications for seamless user experiences.
Write high-quality, testable code and conduct rigorous unit/integration testing to ensure system reliability.
Diagnose & Scale: Resolve complex performance and reliability issues across diverse environments.
Experience: 4+ years of professional experience as an AI, ML, or Software Engineer, specifically building production-grade applications.
Bachelor’s degree in Computer Science, Information Technology, or Software Engineering.
A strong software background with experience in version control (Git) and Agile development.
