Senior Machine Learning Engineer

Job Description

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.

Requirements

• Expertise 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 forward.

Responsibilities

• Work 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/frameworks.
• Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of data.
• Work 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 customers.
• Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support.
• You 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 technologies.
• Identify opportunities for data science to increase the organization’s efficiency and lift our corebusiness.
• Gain exposure to a wide range of business stakeholders and departments ranging fromMarketing, Merchandising, and Planning to Executive Leadership.
• Work in multi-functional agile teams to continuously experiment, iterate, and deliver ondata-driven product objectives.
• Work 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/ML.

What we offer

• Direct cooperation with the already successful and growing project;
• Truly competitive salary;
• Help and support from our caring HR team.