Senior ML Engineer
Description For Senior ML Engineer
Intellectsoft, a prominent software development company established in 2007, is seeking a Senior ML Engineer to join their team. With a strong presence across North America, Latin America, the Nordic region, UK, and Europe, we've built an impressive portfolio serving Fortune 500 companies including Jaguar Motors, Universal Pictures, Harley-Davidson, Qualcomm, and London Stock Exchange.
The role demands a seasoned professional with 7+ years of engineering experience, including 4+ years specifically in machine learning and AI. You'll be working with cutting-edge technologies including Python, PyTorch, TensorFlow, and MLflow, while handling MLOps and model monitoring responsibilities. The position offers an excellent opportunity to work on sophisticated ML models for customer segmentation, trend forecasting, and behavior analysis.
We offer a comprehensive benefits package including 35 days of annual leave, professional development through Udemy courses, English language training with native speakers, and regular soft-skills development opportunities. Our collaborative environment features Excellence Centers meetups and team-building activities, both online and offline.
This remote position allows you to contribute to impactful projects while maintaining work-life balance. You'll be part of a team that delivers innovative solutions across various industries including Fintech, Healthcare, EdTech, Construction, and Hospitality. Join us in creating solutions that make a real difference in the world while advancing your career in machine learning and AI.
Responsibilities For Senior ML Engineer
- 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
Requirements For Senior ML Engineer
- 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
Benefits For Senior ML Engineer
- 35 absence days per year for work-life balance
- Udemy courses of your choice
- English courses with native-speaker
- Regular soft-skills trainings
- Excellence Centers meetups
- Online/offline team-buildings
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