ID: 12022**What you will do**- Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals; - Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment; - Collect, process, and prepare large datasets for analysis, feature engineering, and model training; - Implement data qualitychecks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models; - Optimize data storage,retrieval, and processing performance for ML workloads; - Develop and maintain ETL (Extract, Transform, Load) processes and workflows; - Manage data versioning, storage, and access control for ML datasets; - Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments; - Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
**Must haves**- Bachelor's or Master's degree in Computer Science, Data Science, or a related field; - Proven experience as aData Engineer, preferably in a role supporting Data Scientists; - Strong proficiency in programming languages such as Python, Java, or Scala; - Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.G., Hadoop, Spark); - Experience with data warehousing solutions and data integration tools; - Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc; - Knowledge of ML frameworks (e.G., TensorFlow, PyTorch) and ML model deployment; - Familiarity with cloudplatforms (e.G., AWS, Azure, Google Cloud) and containerization (e.G., Docker, Kubernetes); - Excellent problem-solving skills and a collaborative mindset; - Excellent oral and written communication skills with a keen sense of customer service.
**Nice to haves**- Experience in ad/marketing environment- Experience working with Data Lakes- Experience with Scala- Experience with Glue/EMR/Redshift/Airflow- Experience with Terraform.
**The benefits of joining us**- **Professional growth**Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps- **Competitive compensation**We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities- **A selection of exciting projects**Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands- **Flextime**Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.Reference: 12022**Job Types**: Full-time, ContractWork Location: Remote