AI/ML Architect

Responsibilities:

• Understand business objectives and develop 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 rank 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 modeling 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 
• Support 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 analyze 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 modeling, and software architecture 
• Deep knowledge of math, probability, statistics, and algorithms 
• Demonstrated technical expertise in architecting solutions around AI, ML, deep learning, and related technologies. 
• Experience with Amazon Cloud and AWS AI services  
• 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 processes to people who aren't programming experts 
• 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