We are looking for Senior Machine Learning Engineer. In this role, you will work with our seasoned Machine Learning & Data Scientists and engineers to build innovative AI solutions.RequirementsExpertise in machine learning, feature engineering, and software development;Experience with statistical modeling and large-scale data analytics;Experience writing clean and efficient code in Python, SQL;Knowledge of Spark or similar big data platforms and technology is preferred;Experience working with st
We are looking for Senior Machine Learning Engineer. In this role, you will work with our seasoned Machine Learning & Data Scientists and engineers to build innovative AI solutions.RequirementsExpertise in machine learning, feature engineering, and software development;Experience with statistical modeling and large-scale data analytics;Experience writing clean and efficient code in Python, SQL;Knowledge of Spark or similar big data platforms and technology is preferred;Experience working with structured, unstructured data and table design;Deep understanding of system design, data structures, and algorithms;Experience with Deep Learning frameworks (Tensorflow, Keras and/or Pytorch);Experience with workflow orchestration tools (e.g. Apache Airflow);Experience building scalable microservices for delivery of high-volume data on AWS or othercloud platforms;Experience with production grade LLMs and generative AI;Fluency in English;Experience working in an agile environment producing deliverables in a quick and iterativemanner;Outstanding interpersonal and communication skills, the ability to work well in a close-knit team, ego-less coding habits, and a collaborative spirit;Result-driven execution of AI/ML solutions to drive the business forwardResponsibilitiesWork on challenging AI/ML projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies. Develop innovative solutions to business problems leveraging both classic and cutting-edgeAI/ML algorithms/frameworksBuild end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of dataWork with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake,Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customersProductionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production supportYou will be involved in the design and implementation of applications and tools based on AI(including GenAI) that will revolutionize the way that our software interacts with users whilemaintaining a responsible approach to the use of these technologiesIdentify opportunities for data science to increase the organization's efficiency and lift our corebusinessGain exposure to a wide range of business stakeholders and departments ranging fromMarketing, Merchandising, and Planning to Executive LeadershipWork in multi-functional agile teams to continuously experiment, iterate, and deliver ondata-driven product objectivesWork closely with fellow engineers from other teams to design and develop cross-team dataexchange microservices, effectively communicating your needs and understanding theirs relevant experience in AI/MLWhat we offer Direct cooperation with the already successful and growing project;Truly competitive salary;Help and support from our caring HR team
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Show lessPosition level
Senior secondary level
Type of employment
Full time
Job duties
Information technologies
Industries
Non-profit organizations and Primary and secondary education