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Machine Learning Engineer
hace 2 meses
Unlock the Power of AI-Driven Automation
At Intelygenz, we're revolutionizing the way businesses optimize their data using cutting-edge technologies like AI-enabled automation. As a key member of our team, you'll play a crucial role in designing and implementing end-to-end inference pipelines, ETL pipelines, and feedback loops for AI solutions deployed in production environments.
Your Key Responsibilities:
- Design and Implement AI-Driven Solutions: Develop and deploy AI-powered automation solutions that drive business growth and efficiency.
- Lead Data Optimization Efforts: Collaborate with cross-functional teams to identify areas for data optimization and implement AI-driven solutions to improve data quality and accuracy.
- Develop and Maintain AI Models: Design, develop, and maintain machine learning and deep learning models for production environments.
- Collaborate with Stakeholders: Work closely with business stakeholders to understand their needs and develop AI-driven solutions that meet their requirements.
What We're Looking For:
- Experience with GIT: Proven experience working with GIT and version control systems.
- AI and ML Expertise: Minimum experience in deploying and maintaining AI and ML models in production environments.
- Cloud and Containerization: Experience working with Docker and/or Kubernetes.
- Database Management: Minimum experience working with different database types, including SQL, Document-oriented, Key-Value, and Time Series.
- Event Brokers: Experience working with event brokers like Kafka, RabbitMQ, and NATS.
- API Frameworks: Experience working with API frameworks.
- Protobuf: Minimum experience working with Protobuf.
- Data Architectures: Experience designing data architectures that leverage machine learning techniques.
- Programming Languages: Proficiency in Python 3.8+ and PyTorch, with experience in GoLang.
- Communication Skills: Fluent in English for day-to-day communication, customer meetings, and reporting.
- Problem-Solving Skills: Strong problem-solving and autonomy skills when facing new challenges.
Bonus Points:
- Kubernetes Experience: Experience working with Kubernetes.
- Graph Databases: Experience working with graph databases.
- TDD/ATDD: Comfortable with TDD/ATDD.
- CI/CD: Comfortable with fully automated CI/CD environments.
- Programming Languages: Experience with other programming languages, including C/C++ or Java.
- Desire to Learn: Desire to learn and constant curiosity.
- Adaptability: Ability to adapt to different environments and projects.
