Machine Learning Engineer – Classification Models
Experience
4+ years
Location
Bangalore / Pune (Hybrid / Onsite as per business needs)
Job Summary
We are looking for a
Machine Learning Engineer with strong experience in classification problems
to build, optimize, and deploy scalable ML models. The ideal candidate should have hands-on experience across the
end-to-end ML lifecycle
, from data preprocessing to production deployment.Key Responsibilities
- Design, develop, and optimize classification models (binary & multi-class)
- Perform data preprocessing, feature engineering, and feature selection
- Train, evaluate, and tune ML models using appropriate metrics (Precision, Recall, F1, ROC-AUC)
- Handle imbalanced datasets and apply relevant techniques
- Deploy models into production and monitor performance
- Collaborate with data engineers, product teams, and stakeholders
- Perform model debugging, error analysis, and continuous improvement
- Write clean, maintainable, and well-documented code
Required Skills & Qualifications
- 4+ years of hands-on experience in Machine Learning
- Strong understanding of classification algorithms:
- Logistic Regression
- Decision Trees, Random Forest
- XGBoost / LightGBM / CatBoost
- SVM
- Proficiency in Python
- Strong experience with scikit-learn, NumPy, Pandas
- Good understanding of ML evaluation metrics
- Experience working with real-world noisy datasets
- Knowledge of data leakage and model bias issues
- Familiarity with SQL for data analysis
- Strong problem-solving and analytical skills
Good to Have
- Experience with Deep Learning frameworks (TensorFlow / PyTorch)
- Exposure to ML deployment (Flask, FastAPI, Docker)
- Experience with cloud platforms (AWS / GCP / Azure)
- Knowledge of MLOps tools (MLflow, Airflow, Kubeflow)
- Basic understanding of statistics and probability
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
Why Join Us
- Work on high-impact ML use cases
- Opportunity to own models end-to-end
- Collaborative and fast-growing team
- Learning-driven engineering culture
Job Title
Microsoft Fabric Engineer / Data Engineer
Experience
5+ Years (with strong hands-on in Microsoft Fabric)
Location
Bangalore / Pune / Hyderabad (Hybrid / Onsite as per business needs)
Job Summary
We are seeking an experienced
Microsoft Fabric Engineer
to design, implement, and manage
end-to-end data analytics solutions using Microsoft Fabric
. The role involves working across
Data Engineering, Analytics, and BI
, leveraging Fabric components to deliver scalable, secure, and high-performance data platforms.Key Responsibilities
- Design and implement end-to-end data solutions using Microsoft Fabric
- Build and manage Lakehouse, Data Warehouse, and OneLake architectures
- Develop and optimize data pipelines using Fabric Data Factory
- Implement data ingestion, transformation, and orchestration
- Create and manage semantic models and Power BI reports
- Optimize performance, cost, and scalability of Fabric workloads
- Ensure data quality, governance, and security using Fabric capabilities
- Collaborate with business stakeholders and analytics teams
- Monitor and troubleshoot Fabric pipelines and workloads
- Document data models, pipelines, and best practices
Required Skills & Qualifications
- 5+ years of experience in Data Engineering / Analytics
- Strong hands-on experience with Microsoft Fabric
- In-depth knowledge of Fabric components:
- OneLake
- Lakehouse
- Fabric Data Warehouse
- Fabric Data Factory
- Power BI (Semantic Models & Reports)
- Strong experience in SQL
- Experience with Spark / PySpark in Fabric
- Solid understanding of data modeling (Star / Snowflake schema)
- Experience in building ETL / ELT pipelines
- Knowledge of data security, RBAC, and governance
- Experience with Azure services (ADLS, Synapse, Azure SQL – nice to have)
- Strong communication and stakeholder management skills
Good to Have
- Experience with real-time analytics in Fabric
- Knowledge of CI/CD for data pipelines
- Exposure to MLOps or advanced analytics
- Microsoft certifications (Fabric, Azure Data Engineer, Power BI)
Skills: data,management,administrative,microsoft fabric,communication,concepts,data governance,microsoft,access,skills,security
