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2 days ago
The successful candidate will be responsible for implementing innovative machine learning solutions using fundamental concepts, optimization techniques, and traditional ML models. Experience with popular frameworks, Python, and data engineering is essential.
Key responsibilities include assisting senior engineers in identifying emerging technology initiatives and developing educational content related to AI, ML, microservices, and agile development methodologies.
Benefits of this role include opportunities for professional growth, engagement in an open-source community that values data integrity and innovation, and a competitive compensation package.
This position requires strong knowledge of machine learning fundamentals, experience with coding environments, and familiarity with software engineering workflows.
Key Responsibilities:- Develop and implement machine learning solutions using fundamental concepts and optimization techniques
- Collaborate with senior engineers to identify emerging technology initiatives
- Design and develop educational content related to AI, ML, microservices, and agile development methodologies
- Strong understanding of machine learning fundamentals
- Experience working with different problems and domains, ideally specialized in at least one area (supervised, unsupervised, generative, control/RL, anomaly detection, timeseries, etc.)
- Proficiency in Python and data engineering
- Ability to work effectively in various coding environments (local, notebooks, containers)
- NLP specialization (NLU, NLI, QA, BERT, GPT, T5, XLNet, etc.)
- MLOps and cloud environment expertise (resource configuration, optimization)
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