EuropeCC Business & Decision Intelligence
ML/AI Engineer - Classical ML
- Location
- India
- Work type
- Remote · Full-time
- Salary
- Not listed
- Posted
- (4 weeks ago)
About the role
Role: ML/AI Engineer
Location: India, Remote
Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.
Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.
What You'll Be Doing:
The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.
The key duties are:
Develop and maintain production ML pipelines using Python and Spark/PySpark. Build, deploy, and support MLbased recommendation systems and ranking models. Work with Databricks and Unity Catalog for data and ML workflows. Use MLflow for experiment tracking and model lifecycle management. Monitor model performance and identify data drift and model drift. Implement model governance and production monitoring practices. Work with SQL and structured data to support ML solutions. Collaborate with data engineers, data scientists, and stakeholders to deliver reliable ML solutions.What We're Looking For:
- Minimum 6 years of relevant experience in machine learning engineering or a related role.
- Strong Python programming skills.
- Mandatory handson experience with Databricks.
- Practical experience with production ML pipelines.
- Handson experience with Spark/PySpark.
- Experience with production recommendation systems.
- Knowledge of MLflow and model lifecycle management.
- Understanding of model monitoring, data drift, model drift, and model governance.
- Strong SQL skills.
- Experience with LightGBM (LGBM), XGBoost, or other gradientboosting algorithms.
- Experience with Unity Catalog.
- Familiarity with star schema and data warehousing concepts.
- Experience with ranking and personalization models.
We Offer:
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.