About us We are a leading provider of AI and ML solutions, leveraging cloud, data, and AI to empower businesses and accelerate their transformation. Job Description: As an experienced Senior Machine Learning/AI Engineer, you will be responsible for creating high-quality ML models from scratch or improving existing ones. You will develop sophisticated ML pipelines that include custom models or APIs as part of the processing. In collaboration with engineering teams, data scientists, and product managers, you will deploy production models while ensuring seamless integration with other systems. Key Responsibilities: - Create novel ML algorithms and models from available data. - Develop robust ML pipelines using various machine learning techniques. - Collaborate with cross-functional teams on deploying production-ready models. - Maintain reproducible experimentation environments and implement efficient pipelines. - Monitor and optimize ML models in production to ensure maximum performance. - Write comprehensive documentation for ML models, processes, and pipelines. Requirements: To succeed in this role, you should possess a solid understanding of standard ML algorithms and underlying mathematics. Your experience in classification and regression tasks, feature engineering is essential. Additionally, you should have experience deploying and monitoring ML models in production, as well as knowledge of NLP and recommendation engines. Strong software engineering skills for modular code development and proficiency in cloud platforms, preferably AWS (e.g., SageMaker, ECS, EMR/Glue, S3, Lambda, SQS), are required. Preferred Skills: - Familiarity with RAG, taxonomies, and ontologies. - Experience with Spark/Dask, Great Expectations. Benefits: This is a unique opportunity to work on innovative projects and collaborate with a talented team of engineers, data scientists, and product managers. As a valued member of our team, you will receive comprehensive training and mentorship to help you grow professionally. Join us and contribute to shaping the future of AI and ML solutions.