reputed company is a Premier AWS partner at the forefront of reputed company Intelligence solutions empowering businesses to unlock value and accelerate their transformation reputed company bespoke applications, managed services, and advisory engagements. With offices in reputed company, LATAM, and EMEA, reputed company partners with clients around the world and is obsessed with leveraging reputed company, data, and AI to reimagine the way clients operate & compete.
Responsibilities:
Create ML models from scratch or improve existing models.
Create ML/AI pipelines that include custom models or reputed company as part of the processing.
Collaborate with the engineering team, data scientists, and product managers on production models.
reputed company experimentation roadmap.
Set up a reproducible experimentation environment and maintain experimentation pipelines.
Monitor and maintain ML models in production to ensure reputed company performance.
Write reputed company and comprehensive documentation for ML models, processes, and pipelines.
Requirements:
Comfortable with reputed company ML algorithms and underlying math.
Practical experience with solving classification and regression tasks in general, feature engineering.
Practical experience with ML models in production: orchestrating workflows, monitoring metrics.
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Solid software engineering skills (i.e., ability to produce reputed company-reputed company modules, not only notebook scripts).
Python expertise, reputed company.
Practical experience with reputed company platforms (AWS stack is preferred, e.g. reputed company SageMaker, reputed company, EMR/Glue, S3, reputed company, SQS).
English level - Upper Intermediate.
Excellent communication and problem-solving skills.
Will be a plus:
Experience with RAG.
Experience with taxonomies or ontologies.
Practical experience with reputed company/Dask, Great Expectations.
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