We are currently looking for a Databricks certified trainer for ML Data Science in Databricks with knowledge and hands on experience in delivering data and ML pipelines on Databricks /Spark ML for Data Science and AI projects in a corporate environment. We are looking for a passionate trainer willing to team up with our team in delivering Databricks certification trainings.
GCP AI/ML engineering Certified trainer with experience in AI/ML project operationalization.
Tasks:
The person we are looking for will prepare and deliver Databricks ML Data Science or GCP AI or MS Azure ML - Certified Associate training:
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Building high-performing, scalable, enterprise-grade data processing and ML applications in cloud environment.
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Design, delivery and management of industrialized data pipelines.
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Working with AI Engineers on machine learning and statistical models productization.
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Advising on solution architecture.
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Generating and maintaining code according to the agreed coding standard and best practices.
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Supporting the architect in determining the details of the proposed design`s implementation.
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Gathering technical requirements & estimating planned work.
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Communication with the client.
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Creating technical documentation.
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Actively contributing to development of Lingaro Delivery Framework and assets.
Requirements:
Must have skills:
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At least 4 years of experience in Data Science or AI Engineering.
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At least 1 year of experience in relevant technology trained.
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Very good knowledge of Databricks architecture or Azure ML or GCP ML & AI.
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Experience in designing and implementing data pipelines.
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Experience in working in one of leading cloud environments.
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Good communication skills.
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Great problem-solving skills and critical thinking.
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Experience in delivering relevant technology training.
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Fluency in written and spoken English.
Experience with any of items below is a plus:
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Knowledge of ML algorithms and techniques (i.e. Regression, Classification, Recommendation, Anomaly detection, NLP, Computer Vision, Neural Network).
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Experience working with libraries like: SparkML, Tensorflow, PyTorch, Keras, sklearn.
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Good knowledge of Cloud Computing and Big Data platforms (especially Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL, Azure DevOps).
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Knowledge of AI Platform as a Service (Azure ML, Google AI, AWS Sagemaker, MLFlow, H2O, Data Robot).
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Experience in ML solution operationalization.
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Experience in data modeling.
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General DBs, ETL & DWH experience.
We offer:
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Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
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“Office as an option” model. You can choose to work remotely or in the office.
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Great Place to Work® certified employer.
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Flexibility regarding working hours and your preferred form of contract.
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Comprehensive online onboarding program with a “Buddy” from day 1.
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Cooperation with top-tier engineers and experts.
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Unlimited access to the Udemy learning platform from day 1.
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Certificate training programs. Lingarians earn 500+ technology certificates yearly.
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Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
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Grow as we grow as a company. 76% of our managers are internal promotions.
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A diverse, inclusive, and values-driven community.
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Autonomy to choose the way you work. We trust your ideas.
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Create our community together. Refer your friends to receive bonuses.
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Activities to support your well-being and health.
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Plenty of opportunities to donate to charities and support the environment.
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Modern office equipment. Purchased for you or available to borrow, depending on your location.
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