AI/ML Full Stack Engineer
(or equivalently titled as Data Science Application Engineer or AI Solution Developer)
Location: Bengalore
Exp: 9Yrs
This is a hybrid role requiring a blend of front-end development machine learning and data engineering expertise - ideally someone who can build end-to-end AI-enabled applications
- Application Development
- Convert UX/UI design mockups into functional web applications using HTML CSS and JavaScript frameworks (React Angular or ).
- Ensure responsive and visually accurate UI implementation.
- AI/ML Solution Engineering
- Build and deploy machine learning models for predictive analytics classification and recommendation systems.
- Perform data wrangling cleaning EDA and feature engineering.
- Optimize and evaluate ML models using frameworks such as TensorFlow PyTorch or Scikit-learn.
- Integrate ML models into applications through REST API deployment.
- Data Analytics & Visualization
- Create data visualizations and dashboards for non-technical stakeholders.
- Conduct statistical analysis and A/B testing to support decisions.
- Cloud & MLOps Integration
- Deploy and manage models on Azure Databricks Azure ML Studio or similar platforms.
- Work with Docker Kubernetes and MLflow for containerization orchestration and model tracking.
- Project & Collaboration
- Define project plans allocate resources and ensure timely delivery.
- Collaborate with data engineers business analysts and domain experts to align technical outcomes with business goals.
- Support ABBs business units through consulting engagements and proof-of-concept developments.
AI/ML Full Stack Engineer (or equivalently titled as Data Science Application Engineer or AI Solution Developer) Location: Bengalore Exp: 9Yrs This is a hybrid role requiring a blend of front-end development machine learning and data engineering expertise - ideally someone who can build end-to-...
AI/ML Full Stack Engineer
(or equivalently titled as Data Science Application Engineer or AI Solution Developer)
Location: Bengalore
Exp: 9Yrs
This is a hybrid role requiring a blend of front-end development machine learning and data engineering expertise - ideally someone who can build end-to-end AI-enabled applications
- Application Development
- Convert UX/UI design mockups into functional web applications using HTML CSS and JavaScript frameworks (React Angular or ).
- Ensure responsive and visually accurate UI implementation.
- AI/ML Solution Engineering
- Build and deploy machine learning models for predictive analytics classification and recommendation systems.
- Perform data wrangling cleaning EDA and feature engineering.
- Optimize and evaluate ML models using frameworks such as TensorFlow PyTorch or Scikit-learn.
- Integrate ML models into applications through REST API deployment.
- Data Analytics & Visualization
- Create data visualizations and dashboards for non-technical stakeholders.
- Conduct statistical analysis and A/B testing to support decisions.
- Cloud & MLOps Integration
- Deploy and manage models on Azure Databricks Azure ML Studio or similar platforms.
- Work with Docker Kubernetes and MLflow for containerization orchestration and model tracking.
- Project & Collaboration
- Define project plans allocate resources and ensure timely delivery.
- Collaborate with data engineers business analysts and domain experts to align technical outcomes with business goals.
- Support ABBs business units through consulting engagements and proof-of-concept developments.
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