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Senior Machine Learning Engineer

London, United Kingdom
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Grid Dynamics is seeking a Senior Machine Learning Engineer with hands-on experience with DS and ML algorithms. We're looking for someone with experience in RnD as this person will be a part of our RnD department which is responsible for DS/ML projects.   
 
Responsibilities:  
  • Collaborate with cross-functional teams to understand project requirements and design effective solutions
  • Utilize your skills in Python/Scala to develop and deploy machine learning models in a production environment
  • Work with cloud providers such as AWS/GCP for machine learning, analytics, and data manipulation
  • Work on the development and optimization of a recommendation systems 
Requirements:  
  • 8+ years of hands-on experience in ML, DS, and model development and deployment
  • Proficient in programming language such as Python or Scala 
  • Strong leadership skills with a successfully history of leading teams. Ability to guide and mentor team members to achieve high-quality results.
  • Experience in working on projects from scratch, building an approach, the architecture, requirements gathering, deep research
  • Ability to communicate the work clearly to colleagues and to guide engineers to the right ML solutions to solve problems 
About us:  
Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.  

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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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