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 Databricks, Azure Data Factory, Azure Blob Storage, or Azure Synapse. Understanding of supervised and unsupervised learning algorithms, model evaluation, and hyperparameter tuning. Experience with deep learning frameworks: TensorFlow or PyTorch (at least one required). Solid SQL skills for querying relational databases and analytical processing. Familiarity with MLOps practices: experiment tracking (MLflow), model versioning, and CI/CD for ML. Experience with data visualization tools (Power BI, Matplotlib, Seaborn, or Plotly). Good to Have Microsoft Azure certifications: AZ-900, AI-900, DP-100 (Azure Data Scientist Associate) preferred. Experience with NLP libraries (Hugging Face, spaCy, NLTK) and LLM integrations (Azure OpenAI, LangChain). Knowledge of containerization and deployment: Docker, Kubernetes, or Azure Container Instances. Familiarity with big data tools: Apache Spark (PySpark) via Azure Databricks. Exposure to Generative AI, RAG (Retrieval-Augmented Generation), or Prompt Engineering. Version control using Git and experience with Agile/Scrum development methodology. Technical Stack Languages Python, SQL ML/AI Frameworks scikit-learn, XGBoost, TensorFlow, PyTorch, Hugging Face Cloud Platform Microsoft Azure (Azure ML, Databricks, Data Factory, Synapse, OpenAI) MLOps Tools MLflow, Azure DevOps, GitHub Actions Data & BI Tools Power BI, Pandas, PySpark, Jupyter Storage & DB Azure Blob Storage, Azure Data Lake, SQL Server, Cosmos DB What We Offer Competitive salary and performance-based incentives. Azure certification sponsorship and continuous learning budget. Mentorship from senior data scientists and ML architects. Exposure to cutting-edge AI/ML projects across domains. Flexible hybrid working model and collaborative culture. Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.