Responsibilities:

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress
• Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
• Analyse the ML algorithms that could be used to solve a given problem and ranking them by their success probability as well as analyse large, complex datasets to extract insights and decide on the appropriate technique
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
• Apply machine learning algorithms and libraries
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Finding available datasets online that could be used for training
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Manage the infrastructure and data pipelines needed to bring code to production, deploying models to production
• Provide support to engineers and product managers in implementing machine learning in the product.
• Collaborate with data engineers to build data and model pipelines
• Liaise with stakeholders to analyse business problems, clarify requirements and define the scope of the resolution needed
• Develop machine learning applications according to requirements

Requirements:

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modelling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and related technologies.
• Developing AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications.
• In-depth experience in AI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solution and their interdependencies.
• Experience in effective data exploration and visualization (e. g. Excel, Power BI, Tableau, Qlik, etc.)
• Familiarity with machine learning frameworks and libraries
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• The ability to explain complex process to people who aren't programming experts
• Experience with Amazone Cloud and AWS AI services
• English – upper-Intermediate and higher
• Previous experience in communication with clients, ability to interact with clients freely, and consult them from a technical standpoint.
• Pharma domain background