Ml Engineer

Role Overview: As a ML Engineer you will be evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. Roles & Responsibilities: • Study/ transform data science prototypes, design machine learning models and deploy appropriate ML algorithms and tools • Understand customer requirements & business goals and develop effective, scalable AI/ML code (Low code using our list of partners asset or High code though Python, etc) • Develop/maintain AI assets including define the problem, data extraction/ parsing/manipulation/augmentation, data cleansing & transformation Test and debug programs • Select appropriate datasets and data representation methods • Run machine learning tests & experiments as well as Improve functionality of existing systems • Perform statistical analysis and fine-tuning using test results • Train and retrain systems when necessary • Extend existing ML libraries and frameworks • As an individual contributor, coordinate with clients or internal teams to understand user requirements and provide technical solutions. • Support the practice into the shift of our capabilities towards IA with continuous up-skilling, Delivery framework improvements, innovation, recruitment activities. REQUIREMENTS (Professional Experience, Technical Skills, Foreign Languages) Core skills: ● 3+ years proven experience in SW development. ● Systems Engineering studies completed ● Open to work on new technologies is mandatory. ● Should have excellent programming/software development background. ● Experience in R Language is an asset. ● Experience in .Net, Java and Groovy is an asset ● Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. ● Excellent, proactive problem solver. ● Strong analytical skills with the ability to analyze complex requirements and define technical/functional advanced solutions. ● In-depth knowledge of mathematics, statistics, and algorithms. ● Should have excellent communication skills in both written & verbal English and have worked in global/multicultural environment. ● Experience on ML tools/technologies. ● Additional skills: ● Background in application support. ● Experience in creating and managing technical documents will be an asset ● Excellent individual performer and team player. PERSONAL SKILLS ● Open mindset & innovation friendly. ● Creative, proactive. ● Organizational skills. ● Business Professional attitude. ● Very good in time management and ability to track multiple tasks