Job description

West Europe Remote, West Europe Remote Apply Senior ML Engineer Essential functions • Design pipelines to ingest telemetry and sensor data from physical assets. • Build predictive models to optimize CNC/robotic arm utilization and scheduling; • Work with the Simulation Engineer to validate model impact in virtual environments; • Implement dynamic feedback loops between real and simulated systems; • Create dashboards for performance metrics and anomaly detection. Qualifications • 4+ years working with time-series or predictive ML models; • Strong experience in Python, Pandas, Scikit-learn, PyTorch or TensorFlow; • Familiarity with Kafka, Spark, or cloud-based streaming systems; • Understanding of factory scheduling, queueing theory, or optimization is a plus. • Experience collaborating with simulation or robotics teams is highly valued • Openness to working evenings to overlap the American time zone (up to 9 pm CEST) Would be a plus Agile, quick learner, good collaborator and communicator. We offer • Opportunity to work on bleeding-edge projects • Work with a highly motivated and dedicated team • Competitive salary • Flexible schedule • Benefits package - medical insurance, sports • Corporate social events • Professional development opportunities • Well-equipped office 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. \n \n Information on personal data processing \n \n \n Consent to the processing of personal data in future recruitment processes. \n I hereby give my consent to the Grid Dynamics Group to process my personal data contained in the application\n documents for the purpose of using my application in future recruitment processes. \n \n "}]' data-id='27546' data-recaptcha='6LfbTHsoAAAAAFoatK-U3moWm-rkpo1pm611q5QF'> Apply to the position Country of application* I decline I accept Information on personal data processing You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING” Read again Submitting Applications for this job are no longer accepted. Please explore other open opportunities on our platform. Thank you! You applied for the position Senior ML 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 Retry Something went wrong... Please double-check the information filled in the form, and make sure to provide valid data. Retry Don’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. Grid Dynamics Privacy Policy and E-verify

Requirements

Must-haves

West Europe Remote, West Europe Remote
Senior ML Engineer
Design pipelines to ingest telemetry and sensor data from physical assets.
Build predictive models to optimize CNC/robotic arm utilization and scheduling;
Work with the Simulation Engineer to validate model impact in virtual environments;
Implement dynamic feedback loops between real and simulated systems;
Create dashboards for performance metrics and anomaly detection.
4+ years working with time-series or predictive ML models;
Strong experience in Python, Pandas, Scikit-learn, PyTorch or TensorFlow;
Familiarity with Kafka, Spark, or cloud-based streaming systems;
Experience collaborating with simulation or robotics teams is highly valued
Openness to working evenings to overlap the American time zone (up to 9 pm CEST)
Agile, quick learner, good collaborator and communicator.
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Corporate social events
Professional development opportunities
Well-equipped office

Nice-to-haves

Understanding of factory scheduling, queueing theory, or optimization is a plus.
Would be a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlpythonagileai

Platform: careers-html
Effort: medium

Benefits

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Vision

Professional Development