ML/AI Engineer

Summary We are looking for an experienced ML/AI Engineer with hands-on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients. Together we do what matters Key responsibilities • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. • Prepare advanced data analyses and support in the presentation of results to business stakeholders • Work with team members and leads to define Data Science use cases using current and emerging technologies • Transforming data science prototypes and applying appropriate ML algorithms and tools • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. • Developing ML algorithms to analyze huge volumes of historical data to make predictions. • Running tests, performing statistical analysis, and interpreting test results. Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector. . Skills and experiences • Min 5+ years hands-on experience implementing and deploying ML solutions in Azure • Experience in data analytics, BI, data warehousing, a data platform development or other relevant hands-on technical experience. • Experience in MLOps frameworks and tools, Ml Model deployment and maintenance • Understanding of structured and unstructured data analysis, streaming data, IoT, artificial intelligence, NLP and related topical analytics fields. • Knowledge of neural networks and transformers .