Position: ML Engineer
Company: Grid Dynamics
Category: Data Science
Experience required: 3y
English level: upper

Responsibilities:

- Architect, build, maintain, and improve new and existing suite of algorithms.
- Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
- Actively contribute to and re-use community best practices.
- Develop and test ML models using Python/Keras/Tensorflow/Spark stack.
- Communicate with business stakeholders to clarify their requirements and present the teamwork results.

Requirements:

- University or advanced degree in engineering, computer science, mathematics, or a related field.
- 4+ years experience developing and deploying machine learning systems into production.
- Strong experience working with a variety of relational SQL and NoSQL databases.
- Strong experience working with big data tools: Hadoop, Spark, Kafka, Scikit-learn, Tensorflow, Keras, Pytorch, Spark MLLIB, etc.
- Experience with at least one cloud provider solution (AWS, GCP, Azure).
- Strong experience with object-oriented/object function scripting languages: Python, Java, R, C++, Scala, etc.
- Experience with NLP/CV will be a plus
- Experience with Platforms like H2O, Sage maker, MLFlow, Anaconda, etc.
- Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.
- Strong knowledge of data pipeline and workflow management tools.
- Relevant working experience with Docker and Kubernetes is a big plus.
- Experience in working across different global cultures a plus.
- Good communication skills and interpersonal skills.

We offer:

- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Flexible schedule
- Medical insurance
- Benefits program
- Corporate social events