Senior/Lead Machine Learning Engineer
We're seeking an exceptional AI/ML Engineer to lead the development of our innovative Mood Board feature, a cutting-edge system that revolutionizes how customers discover and curate interior design inspirations. You'll be responsible for building sophisticated recommendation algorithms that understand and interpret visual aesthetics, personal preferences, and design trends.
Essential functions
Architect and implement an advanced recommendation system combining computer vision, natural language processing, and collaborative filtering techniques;
Develop and optimize multi-modal models that seamlessly integrate visual and textual data for enhanced design understanding;
Design and implement scalable solutions for processing and analyzing large-scale image datasets;
Create intelligent algorithms for visual similarity matching and style transfer using state-of-the-art deep learning techniques;
Build and maintain production-grade ML pipelines for continuous model training and deployment;
Collaborate with product and design teams to refine recommendation algorithms based on user feedback and behavior.
Qualifications
5+ years of experience in applied machine learning;
Strong background in deep learning, particularly in computer vision and multi-modal architectures;
Extensive experience with modern Large Language Models (LLMs) and their applications;
Hands-on experience with diffusion models and generative AI techniques;
Proficiency in implementing and fine-tuning transformer-based architectures;
Expert knowledge of PyTorch or TensorFlow, and related ML frameworks;
Strong software engineering skills with production-grade Python development;
Experience with MLOps and deploying ML models at scale.
Would be a plus
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field;
Experience with visual search systems and content-based image retrieval;
Published research or significant contributions to computer vision or ML projects;
Familiarity with cloud platforms (AWS/GCP/Azure) and containerization;
Experience with recommendation systems in production environments.
We offer
Work on bleeding-edge projects on a team of experienced engineers
Flexible working hours
Specialisation courses
24 days annual leave + an additional of 5 sick days
Floating Holidays
Private medical subscription for employees and their family members
Benefits basket with the total value of 650 euro/year
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
Thank you!
You applied for the position Senior/Lead Machine Learning Engineer successfully. We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to cv@griddynamics.com
RetrySomething went wrong...
Please double-check the information filled in the form, and make sure to provide valid data.
RetryDon’t see the right opportunity?
Contact us anyway and let’s talk! To apply, send your resume and cover letter to jobs@griddynamics.com
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.