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Irdeto Technology
Data Machine Learning Engineer
Irdeto Technology
Delhi•On-site•5-8 Yrs•1 hour ago
Job description
Data EngineeringMachine LearningAIData ScienceBig DataCloud ArchitectureDevOpsCybersecurityVideo EntertainmentOnline GamingConnected TransportHealthcare
Overview
In this role you will be responsible for designing, building and managing the infrastructure used in large scale data and machine learning projects. You will play a major role in developing the on-premises and cloud-based architecture to analyse and process data according to the needs of Irdeto’s internal business, products and services, as well as participate in research and innovation projects.
Responsibilities
- Work closely with business and product leaders, developers, architects, analysts and researchers on innovation and early-stage product development
- Interface with internal and external customers to capture and analyze requirements relating to data and AI/ML projects
- Work with enterprise architecture, data scientists, and data warehousing teams to set data strategy that supports Irdeto’s corporate strategy
- Design, implement and maintain optimal cloud-based data pipelines and AI/ML architectures
- Implement data architectures, data integrations, and data migrations, covering Irdeto’s own products as well as 3rd party systems
- Assemble large, complex data sets that meet functional/non-functional business requirements
- Clean and preprocess various data sets for AI/ML projects
- Deploy AI/ML models in production, as well as maintain a continuous integration pipeline, including monitoring and optimization of the system’s performance and cost
Qualifications
- BSc or MSc in Computer Science, Applied Mathematics, or similar fields
- Relevant Experience in a Software Engineering role, of which you have experience in Data Engineering
- Advanced knowledge of Python and SQL
- Advanced experience with big data technology, such as Spark, Kafka, etc.
- Experience working/developing in a DevOps environment (CI/CD, Docker, Git, Terraform)
- Experience architecting and developing based on AWS services, such S3, Athena, EMR, Kenesis, Elasticsearch, Fargate, etc. Alternatively, similar experience on Google Cloud Platform or Azure would also be considered. Appropriate certification is desirable.
- Knowledge of machine learning algorithms and feature engineering techniques
- Experience manipulating, processing and extracting value from large, disconnected datasets
- Experience working with relational and non-relational databases
- Ability to work in a team environment in a collaborative manner (Agile/Scrum)
Education
- BSc or MSc in Computer Science, Applied Mathematics, or similar fields
Benefits
- An international and multicultural environment where diversity and inclusivity are celebrated and embraced
- Professional educational opportunities and training program
- Innovation sabbatical
- Volunteer Day
- State of the art office space
- On the job coaching and mentoring
- Flexible work arrangements – via our Work Hard Anywhere policy
- US 500 net for your home office setup after you passed your trial period
- Additional perks customized to global locations (canteen, fresh fruit, amazing coffee, parking, on-site gym, yoga room)