Senior AI Engineer

Overview

We are looking for a skilled Machine Learning Engineer with strong expertise in both conventional and Generative AI models. The ideal candidate should have hands-on experience in building and deploying scalable AI solutions, working with cloud platforms, and leveraging advanced AI services. Requirements

Minimum 3+ years of experience in Machine Learning and Artificial Intelligence. Hands-on experience with Python scientific computing libraries (pandas, numpy, scikit-learn, matplotlib, etc.). Strong understanding of the Machine Learning lifecycle and conventional ML models. Practical experience with Generative AI models and architectures, including large language models (LLMs), text-to-SQL models, and other generative frameworks. Proven experience in developing, fine-tuning, and deploying Generative AI solutions in production environments. Solid knowledge of ML model optimization techniques for performance and scalability. Experience with MLOps practices and tools. Familiarity with cloud platforms such as GCP, Azure, or AWS. Knowledge of retrieval-augmented generation (RAG) techniques and their application in AI solutions. Experience working with AI services such as speech-to-text, document AI, and other cognitive services. Strong foundation in mathematics and statistics. Excellent communication and collaboration skills. Passionate about researching and applying emerging AI / ML technologies to solve real-world challenges. Responsibilities

Design and develop scalable AI / ML solutions using both conventional and Generative AI models. Build, fine-tune, and deploy Generative AI solutions in production environments, including LLMs and text-to-SQL models. Implement ML model optimization techniques to ensure high performance and scalability. Manage the end-to-end ML lifecycle, from data preprocessing and model development to deployment and monitoring. Leverage cloud platforms (e.g., GCP, Azure, AWS) to deploy and scale AI services. Utilize Python scientific computing libraries such as pandas, NumPy, scikit-learn, and matplotlib for data analysis and model building. Apply MLOps practices to streamline ML model development, deployment, and maintenance. Integrate advanced AI services such as speech-to-text, document AI, and other cognitive services into solutions. Use RAG (retrieval-augmented generation) techniques to enhance the capabilities of AI systems. Collaborate with cross-functional teams to define, design, and implement AI-driven products and features. Stay updated with emerging AI / ML technologies and continuously explore their application to solve business challenges. Communicate effectively with both technical and non-technical stakeholders to present ideas, findings, and progress. We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups. Confiz is ISO 9001 : 2015, 27001 : 2013 & 20000-1 : 2018 certified. We have a vibrant culture of learning via collaboration and making the workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit :