- Python programming
- Machine Learning
- Data preprocessing & feature engineering
- Supervised & unsupervised learning
- Model development, training & evaluation
- Scikit-learn / TensorFlow / PyTorch
- SQL & database concepts
- REST APIs
- Automation scripting
- CI/CD and Git
- Cloud platforms such as AWS / Azure / GCP
- ML deployment and monitoring
- MLOps concepts
- Docker / Kubernetes
- Generative AI / LLM exposure is an advantage
Key Responsibilities
- Develop and deploy machine learning models.
- Build automation solutions using Python and related technologies.
- Perform data preparation, analysis and feature engineering.
- Train, test and optimize ML models.
- Develop APIs and integrate ML solutions with applications.
- Automate repetitive business and technical processes.
- Monitor model performance and troubleshoot production issues.
- Collaborate with Data Scientists, Software Engineers and business teams.
- Support CI/CD, cloud deployment and ML lifecycle management.
Candidate Submission Please share the updated CV along with:
- Total Experience
- Relevant ML Experience
- Python Experience
- Automation Experience
- ML Frameworks
- Cloud Experience
- Current Location
- Current CTC
- Expected CTC
- Notice Period
Please share only candidates whose experience closely matches the required Machine Learning and Automation skills. #Hiring #MachineLearning #MLEngineer #AutomationEngineer #Python #AI #ML #MLOps #DataScience #AWS #Azure #GCP #PythonJobs #TechJobs #HiringNow