Senior Machine Learning Engineer
hace 2 meses
We are seeking a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for designing and implementing Machine Learning models that support product recommendations and other business needs.
Key Responsibilities- Collaborate closely with the engineering and product team to design and implement Machine Learning models that meet business requirements.
- Develop and manage the Machine Learning lifecycle, from initial prototyping to full-scale production deployment.
- Interpret and integrate complex data sets from various sources, including structured and unstructured data.
- Apply expert knowledge in Machine Learning and Artificial Intelligence to diverse datasets and use cases, ensuring scalability and adaptability of solutions based on volume and requirements.
- Build and maintain a robust MLOps workflow, including model prototyping, deployment, and monitoring.
- Proven expertise in developing Machine Learning models, including tabular data and NLP models.
- Experience with product recommendation systems and the ability to innovate beyond traditional approaches.
- Experience with AWS cloud services, particularly SageMaker, EC2, S3, and Redshift.
- Strong programming skills in Python.
- Experience in deploying Machine Learning models into production environments, particularly using CI/CD frameworks.
- Solid understanding of the full ML lifecycle and MLOps principles.
- Demonstrated ability to work collaboratively in cross-functional teams and communicate complex technical information to non-expert stakeholders.
- 100% payroll scheme, benefits by law (IMSS, INFONAVIT, 12+ vacation days).
- Benefits above the law: Vacation premium 50%, 5 PTOs, 3 sick days, 10 guaranteed public holidays per year.
- Major medical insurance, Dental and Vision plan for an employee and direct family members.
- Minor Medical Insurance (Multiservicios Médicos Santander) for an employee and direct family members.
- Life Insurance and funeral expenses.
- 5% savings fund, uncapped (matched by the company in the end of the year).
- Grocery cards/vouchers (Vales de Despensa).
- 30 days End of the Year Bonus (Aguinaldo).
- Opportunity to work on bleeding-edge projects with a highly motivated and dedicated team all over the world.
- Individual career development plan and support from the best experts.
- Professional development opportunities (Linkedin Learning, Cloud certification programs, access to corporate LMS integrated with other learning platforms).
- Well-equipped office in a business area of Guadalajara (quiet room, games room, air hockey, PS5, Nintendo Switch and Xbox Series X, pool table, ping pong, snacks, smoothies, and much more).
- Corporate social events (yoga, massages, sport tournaments, discussion panels, technical talks, lunch & learns).
- Flexible working hours.
- Opportunity to relocate to another country where the company's offices are present.
Grid Dynamics is a leading enterprise AI company, 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.
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