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Senior ML Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

7+ years of overall engineering experience., 4+ years of experience in machine learning and AI., Strong knowledge of Python, PyTorch, TensorFlow, and MLflow., Experience with MLOps, CI/CD for ML models, and model monitoring..

Key responsabilities:

  • Design and implement ML models for customer segmentation and trend forecasting.
  • Develop and optimize data pipelines for feature extraction.
  • Deploy models using MLflow, TorchServe, or FastAPI.
  • Monitor model performance and automate retraining pipelines.

Intellectsoft logo
Intellectsoft Computer Software / SaaS SME https://www.intellectsoft.net/
51 - 200 Employees
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Job description

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe.We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive growth and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, Qualcomm, and London Stock Exchange.Together, our team delivers solutions that make a difference. Learn more at www.intellectsoft.net

Requirements

  • Overall engineering experience of 7+ years.
  • 4+ years of experience in machine learning and AI.
  • Strong knowledge of Python, PyTorch, TensorFlow, and MLflow.
  • Experience with MLOps, CI/CD for ML models, and model monitoring.
  • Hands-on experience with Apache Spark and distributed computing.
  • Proficiency in SQL, ClickHouse, and feature engineering techniques.

Responsibilities
  • Design and implement ML models for customer segmentation, trend forecasting, and behavior analysis.
  • Develop and optimize data pipelines for feature extraction.
  • Deploy models using MLflow, TorchServe, or FastAPI.
  • Monitor model performance and automate retraining pipelines.
  • Work with big data frameworks (Apache Spark, ClickHouse) for scalable ML processing.

Benefits

  • 35 absence days per year for work-life balance
  • Udemy courses of your choice
  • English courses with native-speaker
  • Regular soft-skills trainings
  • Excellence Сenters meetups
  • Online/offline team-buildings

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Problem Solving

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