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.
