Senior Machine Learning Engineer
1 semana atrás
About the Role:
Advolve is building the world's first fully autonomous digital ads framework. We offer a platform that automates and optimizes the entire ad process from creative development to audience targeting, bidding, attribution analysis, and retargeting.
Key Responsibilities:
Work on fast-paced, collaborative, agile teams to build and enhance a growing AI platform together.
Develop, implement, and optimize machine learning models for marketing applications.
Collaborate with ML engineers, software engineers, and product managers to deliver end-to-end machine learning solutions.
Analyze large and complex datasets to extract actionable insights and support decision-making processes.
Build and maintain scalable ML pipelines and infrastructure for ML model training and deployment.
Continuously monitor and improve the performance of deployed models to ensure accuracy and efficiency.
Stay updated with the latest advancements in machine learning and AI, and incorporate best practices into our solutions.
Actively support the technical design process, bringing your expertise and analysis to help make data-driven decisions.
Requirements:
Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or related field.
A minimum of 5 full years of experience in machine learning and data science.
Proficiency in programming languages such as Python.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of statistical and machine learning techniques.
Experience working on Data Science/ML Engineering teams, building and deploying AI applications.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Experience with common software development practices such as version control, unit testing, integration testing and CI/CD.
Team player, interested in working in a fast-paced startup environment.
Nice to Have:
Experience in the marketing or advertising industry.
Experience in MLOps frameworks (e.g. Kubeflow, Vertex AI, MLflow)
Familiarity with large language models (e.g., GPT, BERT) and their applications.
Familiarity with A/B testing and experimental design.
Be collaborative and critical when reviewing other contributors' code.
Experience with Docker and Kubernetes.
Experience with Kafka.
Experience with FastAPI or Temporal.io.
Our Recruitment Process:
Fit Cultural interview (30 min)
Technical interview with design & development competency check (1 hour)
CTO interview (30 min)
Offer
What We Offer:
Opportunity to work on pioneering projects in digital marketing powered by AI.
A collaborative and inclusive work environment.
Opportunities for professional growth and career development.
Competitive salary package and benefits.
Hiring as a legal entity (PJ).
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