ML / AI Engineer [KWS]

Job Brief:This is a full-time on-site role for a Machine Learning Engineer at Techelix. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms, analyzing large data sets, and creating predictive models. You will collaborate with cross-functional teams to enhance our existing products and develop new machine learning solutions.Techelix Overview:Founded in 2012 by veteran technology entrepreneurs from the USA and Europe, Techelix is one of the fastest-growing technology companies in the region. We specialize in developing innovative products and solutions that simplify and improve the lives of people worldwide.At Techelix, we strive to create a technology-driven organization and an entrepreneurial ecosystem recognized globally for excellence, innovation, and impact.BenefitsCompetitive Salary Package aligned with skills and experienceAnnual Bonus Plans based on performance and excellenceComprehensive Health Allowance for medical and wellness needsAccess to Online Learning platforms (Udemy and more)Continuous Education Program to enhance professional growthWeekly Team Lunches to encourage collaboration and relaxationBi-Monthly Social & Sports Activities including team outings and picnicsCollaborative, inclusive culture that values innovation and teamworkClear Career Growth paths with leadership opportunitiesMentorship & Knowledge-Sharing SessionsInterest-Free Loans for personal and professional needsRecognition & Rewards Programs celebrating achievementsQualification and ExperienceStrong background in Tensor Flow, Keyword SpottingExporting models to mobile using quantizationExperience with NLP, Neural Networks, and AlgorithmsProficiency in programming languages such as PythonKnowledge of data visualization tools and techniquesExperience working with large data sets and handling real-time dataExcellent problem-solving and analytical skillsStrong communication and collaboration abilitiesBachelors in Computer Science, Data Science, or a related field