Design, implement, and optimize machine learning models to solve complex business problems, collaborating with cross-functional teams to drive the adoption of machine learning solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments
- Proficiency in Python, MLFlow and Spark
- Experience with cloud platforms (AWS, GCP, Azure)
- Experience with AWS Sagemaker
- Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights
- Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders
Benefits
- Fitness-wellness allowance
- Company mobile phone for private use with 100 GB
- Annual HUF devaluation compensation
- Hybrid model: 3 days in the office & 2 days from home
- Private Health Insurance
- Career development
- Technical and soft-skill training opportunities
- Breakfast, fruits & lunch
- Team building events