Johnson Controls Recruitment Program 2026 :-
Johnson Controls is hiring candidates for the role of Associate Software Engineer – Data Scientist for the Pune, Mahārāshtra, India locations. The complete details about Johnson Controls Recruitment Program 2026 are as follows.
| Company Name:- | Johnson Controls |
| Required Education: | Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field. |
| Required Skills: | Strong proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM). Hands-on experience with Microsoft Azure services |
| Job Category: | Innovation & Technology |
| Job ID | WD30270418 |
Qualifications
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.
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.
Skills Required
About the Role
- Johnson Controls is 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.
Johnson Controls Recruitment Program 2026 Application Process:-
Apply In Below Link
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:– Only shortlisted candidates will receive the call letter for further rounds
