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Machine Learning Engineer

Engineering Full-time
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Smart Tek Solutions&Services is a First Tek company, a leading IT service provider that serves Fortune 500 companies in the US. Our goal is to become a leading employer in Lviv and Ukraine and now we are looking for a Machine Learning Engineer to join our team.

Requirements:

  • 5+ years industrial experience with ML, including training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production.
  • Proven experience with modern DL techniques and Gradient Boosting Trees.
  • Experience with ML “understanding” techniques: explainability, confidence, drift, etc – big advantage.
  • Experience designing and implementing AutoML flows/frameworks – big advantage.
  • Excellent Python coding skills.
  • Proficiency with ML libraries (Tensorflow, Pytorch, LightGBM, Scikit-learn)  
  • Vast practical experience with tabular data and time series. 
  • Experience in Microservices architecture, cloud technologies, Docker, Kubernetes.
  • Experience with data pipelines / big data – advantage.
  • Fluent English

Responsibilities:

  • Own, design, and develop Wand AI ML pipelines: be responsible for efficient models training, testing, deployment, and monitoring.
  • Apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies. 
  • Develop machine learning and deep learning models for tabular data (later: time series, NLP, CV, etc.). 
  • Learn and Implement cutting-edge ML algorithms.
  • Create and automate data pipelines including data extraction, validation & anomaly detection, indexing, and other data-related tasks.
  • Follow your project from ideation to implementation.

Why Smart Tek:

  • Variety of domains
  • Full stack of technologies
  • Professional and highly interactive team environment
  • Management style based on openness and trust
  • Stable support in personal education and growth
  • Worthy compensation
  • Active community with regular knowledge sharing
  • Flexible work conditions
  • Huge office with extra space for work & leisure
  • Paid vacation days, sick leaves, and days off

Contact person:

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Ruslan Khyliak

Talent acquisition specialist

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