Associate Software Engineer
AssociateSoftwareEngineer-DataScientist
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“Associate Software Engineer - Data Scientist at Associate Software Engineer. Skills: Machine Learning, Python, Azure, Data Pipelines. Design machine learning models. Build machine learning models”
Industry & Context.
Problem statements
What They're Looking For.
Must Have
Bachelor's or Master's degree, 0–2 years of experience, Proficiency in Python, Solid SQL skills, Experience with deep learning frameworks
Nice to Have
Microsoft Azure certifications, Experience with NLP libraries, Knowledge of containerization, Familiarity with big data tools, Exposure to Generative AI, Version control using Git, Experience with Agile/Scrum
What You'll Do.
Design machine learning models
Build machine learning models
Evaluate machine learning models
Develop data pipelines
Maintain data pipelines
Collaborate with data engineers
Ensure data availability
Ensure data governance
Apply AI/GenAI capabilities
Build intelligent applications
Build automation workflows
Monitor model performance
Implement retraining strategies
Translate business requirements
Participate in code reviews
Adhere to ML Ops best practices
How You'll Work.
Team & Collaboration
Data engineers; Stakeholders
Process & Methodology
Agile, Scrum
Full Job Description
**Associate Software Engineer - Data Scientist** Full-Time · 4-5 Years Experience **Department** Data Science & AI **Location** Hybrid / On-site **Experience** 4-5 Years **Employment Type** Full-Time **Notice Period** Immediate Joiners Preferred **About the Role** We are hiring a Junior Data Scientist who is passionate about solving complex business problems using data, machine learning, and AI. The ideal candidate has a strong foundation in Python, hands-on experience with ML frameworks, and exposure to Microsoft Azure cloud services. You will work on developing scalable ML models, deploying AI solutions, and deriving actionable insights from large datasets. **Key Responsibilities** * Design, build, and evaluate machine learning models for classification, regression, forecasting, and NLP use cases. * Develop and maintain data pipelines using Python and Azure Data Factory / Azure Databricks for ETL and feature engineering. * Deploy ML models on Azure Machine Learning (Azure ML) using endpoints, pipelines, and MLflow tracking. * Collaborate with data engineers to ensure data quality, availability, and governance across Azure Data Lake and Azure Synapse Analytics. * Apply AI/GenAI capabilities (Azure OpenAI, Cognitive Services) to build intelligent applications and automation workflows. * Monitor model performance in production, identify drift, and implement retraining strategies. * Translate business requirements into data science problem statements and communicate findings to stakeholders. * Participate in code reviews, documentation, and adherence to ML Ops best practices. **Required Skills & Qualifications** * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field. * 0–2 years of professional or project-based experience in data science or machine learning. * Strong proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM). * Hands-on experience with Microsoft Azure services: Azure ML, Azure Databric
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