Data Engineer
Summary
Data Engineer / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Data Engineer / Data Scientist – AI/ML
Company: CloudNexus
Location: Bhopal, Madhya Pradesh
Experience: 1–3 Years
Shift: Depends on project requirements
About CloudNexus
At CloudNexus, we are more than just an IT consulting company—we are innovators, problem-solvers, and architects of the digital future. We specialize in progressive IT solutions, cloud transformation, AI-driven automation, and enterprise consulting, helping businesses thrive in an ever-evolving tech landscape.
Role Overview
We are looking for a Data Engineer / Data Scientist with AI/ML expertise to work on data pipelines, machine learning models, feature engineering, predictive analytics, and production-ready ML solutions.
Key Skills & Technologies
- Programming: Python, PySpark, SQL
- Data: Databricks, Apache Spark, Unity Catalog, ETL/ELT
- AI/ML: Machine Learning, Predictive Modeling, Feature Engineering, Model Evaluation
- Data Science: Churn Prediction, SHAP, Lift Analysis, Experimentation
- MLOps: MLflow, Model Monitoring, Feature Pipelines
- DevOps: Git, Azure DevOps, YAML, Databricks Asset Bundles
Candidate Profile
- 1–3 years of hands-on experience in Data Engineering, Data Science, AI/ML, or a related field.
- Strong programming skills in Python, PySpark, and SQL.
- Practical experience with Databricks and Apache Spark.
- Good understanding of Data Engineering, Machine Learning, Data Science, and statistical concepts.
- Experience with model development, feature engineering, model evaluation, and predictive analytics.
- Exposure to MLflow, MLOps, and production ML workflows is preferred.
- Strong analytical, problem-solving, and communication skills.
- Interested candidates can apply with their updated resume.